Camille Kurtz

Full professor of computer science

Université Paris Cité
camille.kurtz@u-paris.fr
Teaching
UFR Mathématiques et Informatique
Département Informatique (office 814-H)
45 rue des Saints Pères, 75006 Paris (France)
Research
LIPADE - EA2517
SIP team
45 rue des Saints Pères, 75006 Paris (France)

Short bio

I am professor of computer science at Université Paris Cité (France), UFR Mathématiques et Informatique, and researcher at the LIPADE laboratory, SIP team. I lead scientific projects in AI on pattern recognition, image analysis and computer vision. More precisely, I am interested in the underlying problems related to image representations, with visual, semantic and perceptual aspects. Our research team works on academic projects with state-of-the-art approaches (image segmentation, classification, retrieval, understanding), in thematic areas such as remote sensing, medical or document imaging, or on industrial R&D projects (e.g. CIFRE PhD thesis) with shorter-term methodological contributions. As lecturer, I teach computer sciences (programming, algorithms, data structures, image analysis, pattern recognition, etc.) in higher education at different levels (LMD).

Short CV

[Since 2023]
Full professor (Professeur des universités) of computer science, Université Paris Cité (France)
Teaching at the UFR Mathématiques et Informatique
Research at the LIPADE, in the SIP team
[May   2022]
Habilitation à Diriger des Recherches (HDR) in computer science, Université Paris Cité
Thesis title: La représentation des images : de la description à l’interprétation
[2013-2023]
Associate professor (Maître de conférences) of computer science, Université Paris Cité (formerly Paris 5 - Descartes)
Teaching at the IUT de Paris - Rives de Seine
Research at the LIPADE, in the SIP team
[2012–2013]
Post-doctoral fellow, Quantitative Imaging Laboratory, Stanford University (USA)
Project: CBIR for medical imaging with semantic representations
Advisor: Daniel L. Rubin
[2009–2012]
PhD in computer science, LSIIT (UMR CNRS/UdS 7005), Université de Strasbourg (France)
Thesis title: Approche collaborative segmentation-classification pour l'analyse descendante d'images multirésolutions
Advisors: Pierre Gançarski and Nicolas Passat
Teaching assistant at the UFR Mathématiques et Informatique
Check out my academic ancestors (Mathematics Genealogy Project)

Involvement in national research groups

  • [since 2018] Elected member of the Board of the French Association for Pattern Recognition (AFRIF)
  • [2022--2024] Elected member of the Board of the Document Analysis Research Group (GRCE)

Habilitation à Diriger des Recherches, HDR

La représentation des images : de la description à l’interprétation

Defended at Université Paris Cité on May 24, 2022, with the jury composed of the following members:
  • Christophe Garcia (Rapporteur), Professeur des Universités, INSA de Lyon
  • Valérie Gouet-Brunet (Rapporteuse), Directrice de Recherche, IGN
  • Henning Müller (Rapporteur), Professeur, Institut Informatique de Gestion, HES-SO Valais-Wallis (Suisse)
  • Isabelle Bloch (Examinatrice), Professeure des Universités, Sorbonne Université
  • Nicolas Passat (Examinateur), Professeur des Universités, Université de Reims Champagne-Ardenne
  • Nicolas Thome (Examinateur), Professeur des Universités, CNAM
  • Nicole Vincent (Examinatrice), Professeure des Universités, Université Paris Cité
  • Laurent Wendling (Garant scientifique), Professeur des Universités, Université Paris Cité

Projects

I am involved (and I have been involved) in different research projects related to AI, pattern recognition and computer vision:

Ongoing projects

ANR GEO ReSeT (2023-2027)

Involvement : Member (25%)

Funding : French Agence Nationale de le Recherche, programme TSIA

Generalized Earth Observation with Remote Sensing and Text. This research proposal aims to develop a versatile foundation model for geo-spatial data that can be used for any task and with any data modality. By using location on the Earth's surface as the common link between different modalities, the model will be able to incorporate a variety of data sources, including remote sensing imagery, textual descriptions of places, and features in maps. Through self- supervised learning methods such as contrastive learning or multi-modal masked autoencoders, the model will leverage the large amounts of unlabeled geo-spatial data from these different sources to learn a better representation of any geo-spatial location and convey a semantic representation of the information.

ANR TAMMI (2022-2025)

Involvement : Member

Funding : ANR JCJC (PI: Sylvain Lobry)

Remote sensing images, produced in large quantities, contain information that is already used to monitor climate change, improve security and understand the environment. However, these data are difficult to interpret and often involve manual processing. With the increase in the amount of data, interpretation becomes a limiting factor for the deadlines, but also for the fields in which these can be used. While the data is there, a large audience cannot take advantage of it. As part of the TAMMI project (Text And MultiModal Imagery), our objectives are to facilitate access to the information contained in multimodal data. We propose to use natural language as a way to extract information. For this, we will study shared representations and robustness to missing data. New methods will be proposed to improve the interpretability of predictions made from texts and multimodal data.

AI-COLOPREDICT (2021-2023)

Involvement : Co-Principal Investigator

Funding : INCA - PRTK

The AI-COLOPREDICT project is part of the field of digital pathology, which consists of scanning traditional slides of tissue samples in the form of digital images with very high spatial resolution. Determining the prognosis of localized colorectal cancer remains a major clinical problem. Recently, AI has shown its ability to reveal predictive, prognostic or molecular information from a digitized histology slide. Using several prospective cohorts of stage II and III colon cancers involving more than 3,600 patients, the objectives of the project are to generate and validate prognostic algorithms using deep learning technology to estimate patient survival using a slide stained with hematoxilin eosin saffron (HES), less complex staining to achieve.

Past projects

TIMES

ANR TIMES (2017-2022)

Involvement : Co-Principal Investigator

Funding : French Agence Nationale de le Recherche

The TIMES project aims to support the analysis of satellite image time series in order to monitor the dynamics of our Planet, its land-cover and land-use. The objective of this project is to provide new high-performance processing techniques for mapping and monitoring environmental changes from massive, heterogeneous and high frequency data times series. Our team covers the image processing part of the project, with the main mission of developing and validating novel image analysis methods dedicated to environmental monitoring of landscape objects (e.g. coastal erosion, surface deformation, land cover changes) from the exploitation of the mass of available heterogeneous geospatial data (aerial and satellite images, point cloud data) acquired with very-high temporal frequency. The ANR TIMES project is a collaboration between recognized teams in Computer Sciences (LIPADE, MIPS, MONASH (Australia) and SERTIT-ICUBE), possessing expertise in image analysis, pattern recognition, machine learning and high performance computing, and in environmental geography (land cover/use change analysis) with LIVE and ICUBE-SERTIT.

SHADES

ANR SHADES (2014-2018)

Involvement : Member (22 %)

Funding : French Agence Nationale de le Recherche

The SHADES project is an interdisciplinary project on the security of documents combining experts from computer science and law. The objective of this project is to provide a new tool for authenticating a document through an advanced electronic signature in order to fight against fraud and falsification. Addressing the drawbacks of current solutions for hybrid document security, this signature, based on the document’s content and structure, will allow recognizing and authenticating a document independent from its physical representation as long as its content and/or structure have not been modified. Thanks to a hashing of the document’s information during the signature computation, no information from the original document will be deduced from its signature alone. This will be completed by a study on the legal position of this technology and its interest for legal professionals. The project will be conducted in collaboration with a trusted third party and an end user.

Coclico

ANR Coclico (2012-2017)

Involvement : Associated partner (since 2014)

Funding : French Agence Nationale de le Recherche

The Coclico project ("COllaboration, CLassification, Incrementality and Knowledge") is a research project whose aim is to propose a generic method allowing multi-scale analysis of large volumes of spatio-temporal imaging data of variable quality and provided in continuous with remote sensing technologies over urban areas. It consists in studying and implementing an incremental multistrategy approach guided by knowledge. It must guarantee a final quality of the results by taking into account the quality of the data and those of knowledge. The Coclico project aims to develop automatic or semi-automatic methods, tailored to the complexity and rapid evolution of large masses of multi-source spatiotemporal data, relying on advanced methods from data mining and the machine learning for the analysis and monitoring of complex phenomena.

ePAD

ePAD (2012-2013)

Involvement : Associated partner

Funding : National Institutes of Health (USA)

The ePAD project ("electronic Physician Annotation Device") is a medical imaging project launched at Stanford University School of Medicine in 2012 and supported by the National Institutes of Health [grant number U01CA142555-01]. Medical images contain a wealth of information, such as anatomy and pathology, which is often not explicit and computationally accessible. Information schemes are being developed to describe the semantic content of images, but such schemes can be unwieldy to operationalize because there are few tools to enable users to capture structured information easily as part of the routine research workflow. This projects aims at developing a Web-based semantic annotation tool for radiological images called ePad, an open source tool enabling researchers and clinicians to create semantic annotations that are used to characterize images for classification or image retrieval purpose. ePad enables to describe images and image regions using a graphical interface (developed with cutting-edge features of GWT-P and HTML5) that maps their descriptions to ontologies.

iCBIR

Project France-Stanford - iCBIR (2014-2015)

Involvement : Co-Principal Investigator

Funding : France-Stanford Collaborative Projects

The goal of the iCBIR project ("Interactive Content-Based Image Retrieval for real-time decision support in Radiology") is to conduct research activities centered on the development of innovative informatics tools that provide computer-based assistance to radiologists to enhance their image interpretation efficiency. Indeed a major challenge to effective Radiology practice is efficiently interpreting cross-sectional studies that contain thousands of images. This results in variability in Radiologist interpretive accuracy and suboptimal patient care. Our tools will assist radiologists by finding, within large image collections, images containing visually similar abnormalities and the associated diagnoses and, where available, responses to therapies. A key aspect of the work will be developing methods of Relevance Feedback to enable the system to continually improve the accuracy of relevant care retrieval during clinical use. We will undertake this work by establishing a collaboration between the Information Sciences in Imaging center (ISIS) at Stanford University, specializing in medical imaging, and the Computer Sciences Laboratory (LIPADE) at University Paris Descartes, possessing expertise in image analysis tools.

Foster

ANR Foster (2011 - 2013)

Involvement : Involved as Phd student

Funding : French Agence Nationale de le Recherche

The FOSTER project ("Spatio-temporal data mining: application to the understanding and monitoring of soil erosion") is a three-year project launched in January 2011. This computer science project is founded by the French National Research Agency ANR. This project aims at providing to geologists a semi-automatic and complete process for monitoring soil erosion. This process will be based on multi-temporal very high resolution satellite images coupled with digital elevation model (DEM), sensor data and/or expert knowledge. The project will focus more precisely on two important aspects of this process: segmentation of satellite images based on collaborative methods, and construction of descriptive (patterns, clustering, ...) and predictive (decision trees, ...) spatio-temporal models.

FoDoMuSt

ACI Fodomust (2004 - 2008)

Involvement : Involved as Msc student

Funding : French Agence Nationale de le Recherche

The FoDoMuSt project ("Multi-Strategic Data Mining") is a four-year project launched in September 2004 and finished in September 2008. FoDoMuSt is a research project about multi-strategic data mining for extraction and characterisation of urban vegetation based on a database of remote sensing images. The main idea is to improve the result of one clustering on some data by using a set of clustering methods and making them collaborate. Multi-strategic clustering methods can then be used to generate thematic maps (with different clusters for different ground occupations/uses). The proposed collaborative approaches proposed during this project have been validated in the context of remote sensing images analysis, with the collaboration of the Laboratoire Image et Ville (UMR CNRS/UDS 7011).

Publications

Direct access

A. Research Articles in International Journals

[1] El-Yacoubi, M., and Vincent, N. & Kurtz, C. (2024)
Editorial — Emerging Topics in Pattern Recognition and Artificial Intelligence,
World Scientific: Series on Language Processing, Pattern Recognition, and Intelligent Systems, 9:xx-xx
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{Yacoubi2024,
   title={Editorial — Emerging Topics in Pattern Recognition and Artificial Intelligence},
   year={2024},
   journal={World Scientific: Series on Language Processing, Pattern Recognition, and Intelligent Systems},
   volume={9},
   pages={xx--xx},
   doi={https://doi.org/10.1142/13752},
   author={El-Yacoubi, M. and and Vincent, N. and Kurtz, C.}
}
	
[2] De Chauveron, J., Unger, M., Lescaille, G., Wendling, L., Kurtz, C. & Rochefort, J. (2023)
Artificial Intelligence for Oral Squamous Cell Carcinoma Detection Based on Oral Photographs: A Comprehensive Literature Review,
Cancer Medicine, 00:01-12, Wiley.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{chauveron_CM_2023,
   title={Artificial Intelligence for Oral Squamous Cell Carcinoma Detection Based on Oral Photographs: A Comprehensive Literature Review},
   year={2023},
   journal={Cancer Medicine},
   volume={00},
   pages={01-12},
   publisher={Wiley},
   doi={https://doi.org/10.1002/cam4.6822},
   author={De Chauveron, J. and Unger, M. and Lescaille, G. and Wendling, L. and Kurtz, C. and Rochefort, J.}
}
	
[3] Deléarde, R., Kurtz, C. & Wendling, L. (2022)
Description and recognition of complex spatial configurations of object pairs with Force Banner 2D features,
Pattern Recognition, 123:108410, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{delearde_PR_2022,
   title={Description and recognition of complex spatial configurations of object pairs with Force Banner 2D features},
   year={2022},
   journal={Pattern Recognition},
   volume={123},
   pages={108410},
   publisher={Elsevier},
   doi={https://doi.org/10.1016/j.patcog.2021.108410},
   author={Deléarde, R. and Kurtz, C. and Wendling, L.}
}
	
[4] Chelali, M., Kurtz, C., Puissant, A. & Vincent, N. (2021)
Deep-STaR: Classification of image time series based on spatio-temporal representations,
Computer Vision and Image Understanding, 208--209:103221, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{chelaliCVIU2021,
   title={Deep-STaR: Classification of image time series based on spatio-temporal representations},
   year={2021},
   journal={Computer Vision and Image Understanding},
   volume={208--209},
   pages={103221},
   publisher={Elsevier},
   doi={10.1016/j.cviu.2021.103221},
   author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[5] Chelali, M., Kurtz, C., Puissant, A. & Vincent, N. (2021)
Influence of data representations and deep architectures in image time series classification,
International Journal of Pattern Recognition and Artificial Intelligence, 35(12):2160001, World Scientific.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@article{chelaliIJPRAI2020,
   title={Influence of data representations and deep architectures in image time series classification},
   year={2021},
   journal={International Journal of Pattern Recognition and Artificial Intelligence},
   volume={35},
   number={12},
   pages={2160001},
   publisher={World Scientific},
   doi={10.1142/S0218001421600016},
   author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[6] Gallois, C., Emile, J.F., .., , Loménie, N., Kurtz, C., Taieb, J. & Tougeron, D. (2021)
Pembrolizumab with Capox Bevacizumab in patients with microsatellite stable metastatic colorectal cancer and a high immune infiltrate: The FFCD 1703-POCHI trial,
Digestive and Liver Disease, 53(10):1254-1259, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{GALLOIS2021,
   title={Pembrolizumab with Capox Bevacizumab in patients with microsatellite stable metastatic colorectal cancer and a high immune infiltrate: The FFCD 1703-POCHI trial},
   year={2021},
   journal={Digestive and Liver Disease},
   volume={53},
   number={10},
   pages={1254-1259},
   publisher={Elsevier},
   doi={https://doi.org/10.1016/j.dld.2021.06.009},
   author={Gallois, C. and Emile, J.F. and ..,  and Loménie, N. and Kurtz, C. and Taieb, J. and Tougeron, D.}
}
	
[7] Randrianasoa, T., Cettour-Janet, P., Kurtz, C., Desjardin, E., Gançarski, P., Bednarek, N., Rousseau, F. & Passat, N. (2021)
Supervised quality evaluation of binary partition trees for object segmentation,
Pattern Recognition, 111:107667, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{randrianasoa_PR_2021,
   title={Supervised quality evaluation of binary partition trees for object segmentation},
   year={2021},
   journal={Pattern Recognition},
   volume={111},
   pages={107667},
   publisher={Elsevier},
   doi={10.1016/j.patcog.2020.107667},
   author={Randrianasoa, T. and Cettour-Janet, P. and Kurtz, C. and Desjardin, E. and Gançarski, P. and Bednarek, N. and Rousseau, F. and Passat, N.}
}
	
[8] Randrianasoa, T., Kurtz, C., Desjardin, E. & Passat, N. (2021)
AGAT: Building and Evaluating Binary Partition Trees for Image Segmentation,
SoftwareX, 16:100855, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{randrianasoa_SX_2021,
   title={AGAT: Building and Evaluating Binary Partition Trees for Image Segmentation},
   year={2021},
   journal={SoftwareX},
   volume={16},
   pages={100855},
   publisher={Elsevier},
   doi={https://doi.org/10.1016/j.softx.2021.100855},
   author={Randrianasoa, T. and Kurtz, C. and Desjardin, E. and Passat, N.}
}
	
[9] Clément, M., Kurtz, C. & Wendling, L. (2020)
Fuzzy Directional Enlacement Landscapes for the Evaluation of Complex Spatial Relations,
Pattern Recognition, 101:167-185, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{clement_PR_2019,
   title={Fuzzy Directional Enlacement Landscapes for the Evaluation of Complex Spatial Relations},
   year={2020},
   journal={Pattern Recognition},
   volume={101},
   pages={167-185},
   publisher={Elsevier},
   doi={10.1016/j.patcog.2019.107185},
   author={Clément, M. and Kurtz, C. and Wendling, L.}
}
	
[10] Passat, N., Kurtz, C. & Vacavant, A. (2020)
Editorial — Virtual Special Issue: “Hierarchical Representations: New Results and Challenges for Image Analysis”,
Pattern Recognition Letters, 138:201-203
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{PASSAT2020201,
   title={Editorial — Virtual Special Issue: “Hierarchical Representations: New Results and Challenges for Image Analysis”},
   year={2020},
   journal={Pattern Recognition Letters},
   volume={138},
   pages={201-203},
   doi={10.1016/j.patrec.2020.07.019},
   author={Passat, N. and Kurtz, C. and Vacavant, A.}
}
	
[11] Passat, N., Naegel, B. & Kurtz, C. (2019)
Component-graph construction,
Journal of Mathematical Imaging and Vision, 61(6):798-823, Springer.
[BibTeX BibTeX]
BibTeX :
@article{passat_JMIV_2019,
   title={Component-graph construction},
   year={2019},
   journal={Journal of Mathematical Imaging and Vision},
   volume={61},
   number={6},
   pages={798-823},
   publisher={Springer},
   author={Passat, N. and Naegel, B. and Kurtz, C.}
}
	
[12] Banerjee, I., Kurtz, C., Devorah, A., Do, B., Rubin, D. & Beaulieu, C. (2018)
Relevance Feedback for Enhancing Content Based Image Retrieval and Automatic Prediction of Semantic Image Features: Application to Bone Tumor Radiographs,
Journal of Biomedical Informatics, 84:123-135, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{banerjee_JBI_2018,
   title={Relevance Feedback for Enhancing Content Based Image Retrieval and Automatic Prediction of Semantic Image Features: Application to Bone Tumor Radiographs},
   year={2018},
   journal={Journal of Biomedical Informatics},
   volume={84},
   pages={123-135},
   publisher={Elsevier},
   doi={10.1016/j.jbi.2018.07.002},
   author={Banerjee, I. and Kurtz, C. and Devorah, A. and Do, B. and Rubin, D. and Beaulieu, C.}
}
	
[13] Clément, M., Kurtz, C. & Wendling, L. (2018)
Learning Spatial Relations and Shapes for Structural Object Description and Scene Recognition,
Pattern Recognition, 84:197-2010, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{clement_PR_2018,
   title={Learning Spatial Relations and Shapes for Structural Object Description and Scene Recognition},
   year={2018},
   journal={Pattern Recognition},
   volume={84},
   pages={197-2010},
   publisher={Elsevier},
   doi={10.1016/j.patcog.2018.06.017},
   author={Clément, M. and Kurtz, C. and Wendling, L.}
}
	
[14] Randrianasoa, T., Kurtz, C., Desjardin, E. & Passat, N. (2018)
Binary Partition Tree Construction from Multiple Features for Image Segmentation,
Pattern Recognition, 84:237-250, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{randrianasoa_PR_2018,
   title={Binary Partition Tree Construction from Multiple Features for Image Segmentation},
   year={2018},
   journal={Pattern Recognition},
   volume={84},
   pages={237-250},
   publisher={Elsevier},
   doi={10.1016/j.patcog.2018.07.003},
   author={Randrianasoa, T. and Kurtz, C. and Desjardin, E. and Passat, N.}
}
	
[15] Clément, M., Poulenard, A., Kurtz, C. & Wendling, L. (2017)
Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects,
IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12):2366-2380, IEEE Computer Society.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{clement_PAMI_2017,
   title={Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects},
   year={2017},
   journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
   volume={39},
   number={12},
   pages={2366-2380},
   publisher={IEEE Computer Society},
   doi={10.1109/TPAMI.2016.2645151},
   author={Clément, M. and Poulenard, A. and Kurtz, C. and Wendling, L.}
}
	
[16] Grand-Brochier, M., Vacavant, A., Cerutti, G., Kurtz, C., Weber, J. & Tougne, L. (2015)
Tree leaves extraction in natural images: Comparative study of pre-processing tools and segmentation methods,
IEEE Transactions on Image Processing, 24(5):1549-1560, IEEE Signal Processing Society.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{grandbrochier_TIP_2015,
   title={Tree leaves extraction in natural images: Comparative study of pre-processing tools and segmentation methods},
   year={2015},
   journal={IEEE Transactions on Image Processing},
   volume={24},
   number={5},
   pages={1549-1560},
   publisher={IEEE Signal Processing Society},
   doi={10.1109/TIP.2015.2400214},
   author={Grand-Brochier, M. and Vacavant, A. and Cerutti, G. and Kurtz, C. and Weber, J. and Tougne, L.}
}
	
[17] Depeursinge, A., Kurtz, C., Napel, S., Beaulieu, C. & Rubin, D. (2014)
Predicting Visual Semantic Descriptive Terms from Radiological Image Data: Preliminary Results with Liver Lesions in CT,
IEEE Transactions on Medical Imaging, 33(8):1669-1676, IEEE Signal Processing Society.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{depeursinge_TMI_2014,
   title={Predicting Visual Semantic Descriptive Terms from Radiological Image Data: Preliminary Results with Liver Lesions in CT},
   year={2014},
   journal={IEEE Transactions on Medical Imaging},
   volume={33},
   number={8},
   pages={1669-1676},
   publisher={IEEE Signal Processing Society},
   doi={10.1109/TMI.2014.2321347},
   author={Depeursinge, A. and Kurtz, C. and Napel, S. and Beaulieu, C. and Rubin, D.}
}
	
[18] Kurtz, C., Beaulieu, C., Napel, S. & Rubin, D. (2014)
A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations,
Journal of Biomedical Informatics, 49(1):227-244, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{kurtz_JBI_2014,
   title={A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations},
   year={2014},
   journal={Journal of Biomedical Informatics},
   volume={49},
   number={1},
   pages={227-244},
   publisher={Elsevier},
   doi={10.1016/j.jbi.2014.02.018},
   author={Kurtz, C. and Beaulieu, C. and Napel, S. and Rubin, D.}
}
	
[19] Kurtz, C., Depeursinge, A., Napel, S., Beaulieu, C. & Rubin, D. (2014)
On combining image-based and ontological semantic dissimilarities for medical image retrieval applications,
Medical Image Analysis, 18(7):1082-1100, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{kurtz_MIA_2014,
   title={On combining image-based and ontological semantic dissimilarities for medical image retrieval applications},
   year={2014},
   journal={Medical Image Analysis},
   volume={18},
   number={7},
   pages={1082-1100},
   publisher={Elsevier},
   doi={10.1016/j.media.2014.06.009},
   author={Kurtz, C. and Depeursinge, A. and Napel, S. and Beaulieu, C. and Rubin, D.}
}
	
[20] Kurtz, C., Naegel, B. & Passat, N. (2014)
Connected Filtering Based on Multivalued Component-Trees,
IEEE Transactions on Image Processing, 23(12):5152-5164, IEEE Signal Processing Society.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{kurtz_TIP_2014,
   title={Connected Filtering Based on Multivalued Component-Trees},
   year={2014},
   journal={IEEE Transactions on Image Processing},
   volume={23},
   number={12},
   pages={5152-5164},
   publisher={IEEE Signal Processing Society},
   doi={10.1109/TIP.2014.2362053},
   author={Kurtz, C. and Naegel, B. and Passat, N.}
}
	
[21] Kurtz, C., Stumpf, A., Malet, J., Gançarski, P., Puissant, A. & Passat, N. (2014)
Hierarchical extraction of landslides from multiresolution remotely sensed optical images,
ISPRS Journal of Photogrammetry and Remote Sensing, 87(1):122-136, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{kurtz_ISPRS_2014,
   title={Hierarchical extraction of landslides from multiresolution remotely sensed optical images},
   year={2014},
   journal={ISPRS Journal of Photogrammetry and Remote Sensing},
   volume={87},
   number={1},
   pages={122-136},
   publisher={Elsevier},
   doi={10.1016/j.isprsjprs.2013.11.003},
   author={Kurtz, C. and Stumpf, A. and Malet, J. and Gançarski, P. and Puissant, A. and Passat, N.}
}
	
[22] Rubin, D., Willrett, D., O'Connor, M., Hage, C., Kurtz, C. & Moreira, D. (2014)
Automated tracking of quantitative assessments of tumor burden in clinical trials,
Translational Oncology, 7(1):1-16, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{kurtz_TO_2014,
   title={Automated tracking of quantitative assessments of tumor burden in clinical trials},
   year={2014},
   journal={Translational Oncology},
   volume={7},
   number={1},
   pages={1-16},
   publisher={Elsevier},
   doi={10.1593/tlo.13796},
   author={Rubin, D. and Willrett, D. and O'Connor, M. and Hage, C. and Kurtz, C. and Moreira, D.}
}
	
[23] Kurtz, C., Gançarski, P., Passat, N. & Puissant, A. (2013)
A hierarchical semantic-based distance for nominal histogram comparison,
Data and Knowledge Engineering, 87(1):206-225, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{kurtz_DKE_2013,
   title={A hierarchical semantic-based distance for nominal histogram comparison},
   year={2013},
   journal={Data and Knowledge Engineering},
   volume={87},
   number={1},
   pages={206-225},
   publisher={Elsevier},
   doi={10.1016/j.datak.2013.06.002},
   author={Kurtz, C. and Gançarski, P. and Passat, N. and Puissant, A.}
}
	
[24] Kurtz, C., Passat, N., Gançarski, P. & Puissant, A. (2012)
Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology,
Pattern Recognition, 45(2):685-706, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{kurtz_PR_2012,
   title={Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology},
   year={2012},
   journal={Pattern Recognition},
   volume={45},
   number={2},
   pages={685-706},
   publisher={Elsevier},
   doi={10.1016/j.patcog.2011.07.017},
   author={Kurtz, C. and Passat, N. and Gançarski, P. and Puissant, A.}
}
	
[25] Petitjean, F., Kurtz, C., Passat, N. & Gançarski, P. (2012)
Spatio-temporal reasoning for the classification of satellite image time series,
Pattern Recognition Letters, 33(13):1805-1815, Elsevier.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{petitjean_PRL_2012,
   title={Spatio-temporal reasoning for the classification of satellite image time series},
   year={2012},
   journal={Pattern Recognition Letters},
   volume={33},
   number={13},
   pages={1805-1815},
   publisher={Elsevier},
   doi={10.1016/j.patrec.2012.06.009},
   author={Petitjean, F. and Kurtz, C. and Passat, N. and Gançarski, P.}
}
	
[26] Kurtz, C., Passat, N., Gançarski, P. & Puissant, A. (2010)
Multiresolution region-based clustering for urban analysis,
International Journal of Remote Sensing, 31(22):5941-5973, Taylor and Francis.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{kurtz_IJRS_2010,
   title={Multiresolution region-based clustering for urban analysis},
   year={2010},
   journal={International Journal of Remote Sensing},
   volume={31},
   number={22},
   pages={5941-5973},
   publisher={Taylor and Francis},
   doi={10.1080/01431161.2010.512312},
   author={Kurtz, C. and Passat, N. and Gançarski, P. and Puissant, A.}
}
	

B. Research Articles in National Journals

[1] Zeng, Q., .., , Kurtz, C. & Loménie, N. (2023)
Pathologie numérique et intelligence artificielle à l’ère de la médecine de précision,
Revue Immunité \& Cancer, 7(3):19-35, .
[BibTeX BibTeX] [URL pdf]
BibTeX :
@article{ZENG_IC_2023,
   title={Pathologie numérique et intelligence artificielle à l’ère de la médecine de précision},
   year={2023},
   journal={Revue Immunité \& Cancer},
   volume={7},
   number={3},
   pages={19-35},
   publisher={},
   author={Zeng, Q. and ..,  and Kurtz, C. and Loménie, N.}
}
	
[2] Clément, M., Kurtz, C. & Wendling, L. (2016)
Description d’objets en couleurs à partir des relations spatiales entre régions structurelles,
Revue des Nouvelles Technologies de l'Information, Fouille de Données Complexes, RNTI-E-31
[BibTeX BibTeX] [URL pdf]
BibTeX :
@article{clement_RNTI_2016,
   title={Description d’objets en couleurs à partir des relations spatiales entre régions structurelles},
   year={2016},
   journal={Revue des Nouvelles Technologies de l'Information},
   volume={Fouille de Données Complexes, RNTI-E-31},
   author={Clément, M. and Kurtz, C. and Wendling, L.}
}
	
[3] Kurtz, C., Gançarski, P., Puissant, A. & Passat, N. (2014)
Approches multi-hiérarchiques pour l'analyse d'images de télédétection,
Revue Française de Photogrammétrie et de Télédétection, 14(205):19-35, SFPT.
[BibTeX BibTeX] [URL pdf]
BibTeX :
@article{kurtz_RFPT_2014,
   title={Approches multi-hiérarchiques pour l'analyse d'images de télédétection},
   year={2014},
   journal={Revue Française de Photogrammétrie et de Télédétection},
   volume={14},
   number={205},
   pages={19-35},
   publisher={SFPT},
   author={Kurtz, C. and Gançarski, P. and Puissant, A. and Passat, N.}
}
	

C. Research Articles in International Conference or Workshops Proceedings

[1] Marzouki, A., Guo, Z., Zeng, Q., Kurtz, C. & Loménie, N. (2024)
Optimizing lymphocyte detection in breast cancer whole slide imaging through data-centric strategies,
In Proceedings of the IEEE International Symposium on Biomedical Imaging -- ISBI 2024, pages xx-xx, IEEE Computer Society.
Athens (Greece). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{marzouki_ISBI_2024,
   title={Optimizing lymphocyte detection in breast cancer whole slide imaging through data-centric strategies},
   year={2024},
   booktitle={Proceedings of the IEEE International Symposium on Biomedical Imaging -- ISBI 2024},
   month={May},
   address={Athens (Greece)},
   pages={xx--xx},
   publisher={IEEE Computer Society},
   doi={xxx},
   author={Marzouki, A. and Guo, Z. and Zeng, Q. and Kurtz, C. and Loménie, N.}
}
	
[2] Marzouki, A., Vagena, Z., Kurtz, C. & Loménie, N. (2024)
Investigating staining variance effects on deep learning-based semantic segmentation in digital pathology,
In Proceedings of the SPIE Medical Imaging -- SPIE MED IM 2024, pages xx-xx, SPIE.
San Diego (USA). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{marzouki_SPIE_2024,
   title={Investigating staining variance effects on deep learning-based semantic segmentation in digital pathology},
   year={2024},
   booktitle={Proceedings of the SPIE Medical Imaging -- SPIE MED IM 2024},
   month={February},
   address={San Diego (USA)},
   pages={xx--xx},
   publisher={SPIE},
   doi={xxxx},
   author={Marzouki, A. and Vagena, Z. and Kurtz, C. and Loménie, N.}
}
	
[3] Sauron, T., Lazarus, C., Fournier, L., Kurtz, C. & Cloppet, F. (2024)
SEQ-ALIGN: Self-supervised image representation learning from multi-sequence MRI,
In Proceedings of the IEEE International Symposium on Biomedical Imaging -- ISBI 2024, pages xx-xx, IEEE Computer Society.
Athens (Greece). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{sauron_ISBI_2024,
   title={SEQ-ALIGN: Self-supervised image representation learning from multi-sequence MRI},
   year={2024},
   booktitle={Proceedings of the IEEE International Symposium on Biomedical Imaging -- ISBI 2024},
   month={May},
   address={Athens (Greece)},
   pages={xx--xx},
   publisher={IEEE Computer Society},
   doi={xxx},
   author={Sauron, T. and Lazarus, C. and Fournier, L. and Kurtz, C. and Cloppet, F.}
}
	
[4] Wei, X., Vagena, Z., Kurtz, C. & Cloppet, F. (2024)
Integrating expert knowledge with vision-language model to improve medical image retrieval,
In Proceedings of the IEEE International Symposium on Biomedical Imaging -- ISBI 2024, pages xx-xx, IEEE Computer Society.
Athens (Greece). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{wei_ISBI_2024,
   title={Integrating expert knowledge with vision-language model to improve medical image retrieval},
   year={2024},
   booktitle={Proceedings of the IEEE International Symposium on Biomedical Imaging -- ISBI 2024},
   month={May},
   address={Athens (Greece)},
   pages={xx--xx},
   publisher={IEEE Computer Society},
   doi={xxx},
   author={Wei, X. and Vagena, Z. and Kurtz, C. and Cloppet, F.}
}
	
[5] Guo, Z., Wang, Q., Müller, H., Palpanas, T., Loménie, N. & Kurtz, C. (2023)
Hierarchical Transformer Encoder to Improve Entire Neoplasm Area Segmentation on Whole Slide Image of Hepatocellular Carcinoma,
In Proceedings of the IEEE International Symposium on Biomedical Imaging -- ISBI 2023, pages 1-5, IEEE Computer Society.
Cartagena de Indias (Colombia). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{guo_ISBI_2023,
   title={Hierarchical Transformer Encoder to Improve Entire Neoplasm Area Segmentation on Whole Slide Image of Hepatocellular Carcinoma},
   year={2023},
   booktitle={Proceedings of the IEEE International Symposium on Biomedical Imaging -- ISBI 2023},
   month={April},
   address={Cartagena de Indias (Colombia)},
   pages={1-5},
   publisher={IEEE Computer Society},
   doi={https://doi.org/10.1109/ISBI53787.2023.10230568},
   author={Guo, Z. and Wang, Q. and Müller, H. and Palpanas, T. and Loménie, N. and Kurtz, C.}
}
	
[6] Sauron, T., Lazarus, C., Kurtz, C. & Cloppet, F. (2023)
Learning representations for MR image retrieval: Contrastive models versus other supervision strategies,
In Proceedings of the IEEE International Symposium on Biomedical Imaging -- ISBI 2023, pages 1-5, IEEE Computer Society.
Cartagena de Indias (Colombia). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{sauron_ISBI_2023,
   title={Learning representations for MR image retrieval: Contrastive models versus other supervision strategies},
   year={2023},
   booktitle={Proceedings of the IEEE International Symposium on Biomedical Imaging -- ISBI 2023},
   month={April},
   address={Cartagena de Indias (Colombia)},
   pages={1-5},
   publisher={IEEE Computer Society},
   doi={https://doi.org/10.1109/ISBI53787.2023.10230339},
   author={Sauron, T. and Lazarus, C. and Kurtz, C. and Cloppet, F.}
}
	
[7] Servant, L., Kurtz, C. & Wendling, L. (2023)
An extension of the Radial Line Model to predict spatial relations,
In Proceedings of the International Conference on Computer Vision Theory and Applications -- VISAPP 2023, pages 187-195, SCITEPRESS Digital Library.
Lisbon (Portugal). Short paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{servant_VISAP_2023,
   title={An extension of the Radial Line Model to predict spatial relations},
   year={2023},
   booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications -- VISAPP 2023},
   month={February},
   address={Lisbon (Portugal)},
   pages={187-195},
   publisher={SCITEPRESS Digital Library},
   doi={https://doi.org/10.5220/0011644300003417},
   author={Servant, L. and Kurtz, C. and Wendling, L.}
}
	
[8] Chamand, B., Risser-Maroix, O., Kurtz, C., Joly, P. & Loménie, N. (2022)
Fine-tune your classifier: Finding correlations with temperature,
In Proceedings of the IEEE International Conference on Image Processing -- ICIP 2022, pages 2766-2770, IEEE Computer Society.
Bordeaux (France). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{risser-maroix_ICIP_2022,
   title={Fine-tune your classifier: Finding correlations with temperature},
   year={2022},
   booktitle={Proceedings of the IEEE International Conference on Image Processing -- ICIP 2022},
   month={October},
   address={Bordeaux (France)},
   pages={2766-2770},
   publisher={IEEE Computer Society},
   doi={10.1109/ICIP46576.2022.9897735},
   author={Chamand, B. and Risser-Maroix, O. and Kurtz, C. and Joly, P. and Loménie, N.}
}
	
[9] Colomines, L., Kurtz, C., Puissant, A. & Vincent, N. (2022)
Dealing with incomplete land-cover database annotations applied to satellite image time series semantic segmentation,
In Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2022, 13296:211-222, Springer.
Paris (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{colomines_ICPRAI_2022,
   title={Dealing with incomplete land-cover database annotations applied to satellite image time series semantic segmentation},
   year={2022},
   booktitle={Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2022},
   volume={13296},
   editor={El-Yacoubi, M.e.a.},
   month={June},
   address={Paris (France)},
   pages={211-222},
   publisher={Springer},
   author={Colomines, L. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[10] Faure, M., Lobry, S., Kurtz, C. & Wendling, L. (2022)
Embedding spatial relations in Visual Question Answering for remote sensing,
In Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2022, pages 310-316, IEEE Computer Society.
Montréal (Canada). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{faure_ICPR_2022,
   title={Embedding spatial relations in Visual Question Answering for remote sensing},
   year={2022},
   booktitle={Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2022},
   month={January},
   address={Montréal (Canada)},
   pages={310-316},
   publisher={IEEE Computer Society},
   author={Faure, M. and Lobry, S. and Kurtz, C. and Wendling, L.}
}
	
[11] Kada, O., Kurtz, C., van Kieu, C. & Vincent, N. (2022)
Hologram detection for identity document authentication,
In Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2022, 13296:346-357, Springer.
Paris (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{kada_ICPRAI_2022,
   title={Hologram detection for identity document authentication},
   year={2022},
   booktitle={Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2022},
   volume={13296},
   editor={El-Yacoubi, M.e.a.},
   month={June},
   address={Paris (France)},
   pages={346-357},
   publisher={Springer},
   author={Kada, O. and Kurtz, C. and van Kieu, C. and Vincent, N.}
}
	
[12] Risser-Maroix, O., Kurtz, C. & Loménie, N. (2022)
Discovering respects for visual similarity,
In Proceedings of the IAPR Joint International Workshops on Statistical, Structural and Syntactic Techniques Pattern in Recognition -- S+SSPR 2022, 13813:1-10, Springer.
Montréal (Cananda). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{risser-maroix_SSPR_2022,
   title={Discovering respects for visual similarity},
   year={2022},
   booktitle={Proceedings of the IAPR Joint International Workshops on Statistical, Structural and Syntactic Techniques Pattern in Recognition -- S+SSPR 2022},
   volume={13813},
   month={August},
   address={Montréal (Cananda)},
   pages={1-10},
   publisher={Springer},
   doi={https://doi.org/10.1007/978-3-031-23028-8_14},
   author={Risser-Maroix, O. and Kurtz, C. and Loménie, N.}
}
	
[13] Sérieys, G., Kurtz, C., Fournier, L. & Cloppet, F. (2022)
Text-guided visual representation learning for medical image retrieval systems,
In Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2022, pages 593-598, IEEE Computer Society.
Montréal (Canada). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{serieys_ICPR_2022,
   title={Text-guided visual representation learning for medical image retrieval systems},
   year={2022},
   booktitle={Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2022},
   month={January},
   address={Montréal (Canada)},
   pages={593-598},
   publisher={IEEE Computer Society},
   author={Sérieys, G. and Kurtz, C. and Fournier, L. and Cloppet, F.}
}
	
[14] Chelali, M., Kurtz, C. & Vincent, N. (2021)
Violence detection from video under 2D spatio-temporal representations,
In Proceedings of the IEEE International Conference on Image Processing -- ICIP 2021, pages 2593-2597, IEEE Computer Society.
Anchorage (Alaska, US). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{chelali_ICIP_2021,
   title={Violence detection from video under 2D spatio-temporal representations},
   year={2021},
   booktitle={Proceedings of the IEEE International Conference on Image Processing -- ICIP 2021},
   month={September},
   address={Anchorage (Alaska, US)},
   pages={2593-2597},
   publisher={IEEE Computer Society},
   doi={https://doi.org/10.1109/ICIP42928.2021.9506142},
   author={Chelali, M. and Kurtz, C. and Vincent, N.}
}
	
[15] Deléarde, R., Kurtz, C., Dejean, P. & Wendling, L. (2021)
Segment my object: A pipeline to extract segmented objects in images based on labels or bounding boxes,
In Proceedings of the International Conference on Computer Vision Theory and Applications -- VISAPP 2021, pages 618-625, SCITEPRESS Digital Library.
Vienna (Austria). Short paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{delearde_VISAP_2021,
   title={Segment my object: A pipeline to extract segmented objects in images based on labels or bounding boxes},
   year={2021},
   booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications -- VISAPP 2021},
   month={February},
   address={Vienna (Austria)},
   pages={618-625},
   publisher={SCITEPRESS Digital Library},
   doi={10.5220/0010324006180625},
   author={Deléarde, R. and Kurtz, C. and Dejean, P. and Wendling, L.}
}
	
[16] Leghettas, M., Deléarde, R., Kurtz, C. & Wendling, L. (2021)
Combination of visual and semantic criteria for automated selection of region proposals in a bounding box,
In Proceedings of the International Conference on Computer Machine Vision -- ICMV 2021, pages 230-238, SPIE.
Rome (Italy). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{leghettas_ICMV_2021,
   title={Combination of visual and semantic criteria for automated selection of region proposals in a bounding box},
   year={2021},
   booktitle={Proceedings of the International Conference on Computer Machine Vision -- ICMV 2021},
   month={November},
   address={Rome (Italy)},
   pages={230-238},
   publisher={SPIE},
   doi={10.1117/12.2622448},
   author={Leghettas, M. and Deléarde, R. and Kurtz, C. and Wendling, L.}
}
	
[17] Risser-Maroix, O., Kurtz, C. & Loménie, N. (2021)
Learning an adaptation function to assess image visual similarities,
In Proceedings of the IEEE International Conference on Image Processing -- ICIP 2021, pages 2498-2502, IEEE Computer Society.
Anchorage (Alaska, US). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{risser-maroix_ICIP_2021,
   title={Learning an adaptation function to assess image visual similarities},
   year={2021},
   booktitle={Proceedings of the IEEE International Conference on Image Processing -- ICIP 2021},
   month={September},
   address={Anchorage (Alaska, US)},
   pages={2498-2502},
   publisher={IEEE Computer Society},
   doi={https://doi.org/10.1109/ICIP42928.2021.9506129},
   author={Risser-Maroix, O. and Kurtz, C. and Loménie, N.}
}
	
[18] Chelali, M., Kurtz, C., Puissant, A. & Vincent, N. (2020)
Classification of spatially enriched pixel time series with convolutional neural networks,
In Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2020, pages 5310-5317, IEEE Computer Society.
Milano (Italia). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{chelali_ICPR_2020,
   title={Classification of spatially enriched pixel time series with convolutional neural networks},
   year={2020},
   booktitle={Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2020},
   month={January},
   address={Milano (Italia)},
   pages={5310-5317},
   publisher={IEEE Computer Society},
   doi={10.1109/ICPR48806.2021.9412892},
   author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[19] Chelali, M., Kurtz, C., Puissant, A. & Vincent, N. (2020)
From pixels to Random Walk based segments for image time series deep classification,
In Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2020, 12068:339-351, Springer.
Zhongshan (China). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{chelali_RW_ICPRAI_2020,
   title={From pixels to Random Walk based segments for image time series deep classification},
   year={2020},
   booktitle={Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2020},
   volume={12068},
   editor={Lu, Y.e.a.},
   month={October},
   address={Zhongshan (China)},
   pages={339-351},
   publisher={Springer},
   author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[20] Chelali, M., Kurtz, C., Puissant, A. & Vincent, N. (2020)
Image time series classification based on a planar spatio-temporal data representation,
In International Conference on Computer Vision Theory and Applications -- VISAPP 2020, pages 276-283, SCITEPRESS Digital Library.
Valletta (Malta). Short paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{chelali_VISAPP_2020,
   title={Image time series classification based on a planar spatio-temporal data representation},
   year={2020},
   booktitle={International Conference on Computer Vision Theory and Applications -- VISAPP 2020},
   month={March},
   address={Valletta (Malta)},
   pages={276-283},
   publisher={SCITEPRESS Digital Library},
   doi={10.5220/0008949202760283},
   author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[21] Chelali, M., Kurtz, C., Puissant, A. & Vincent, N. (2020)
Spatio-temporal stability analysis in Satellite Image Times Series,
In Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2020, 12068:484-499, Springer.
Zhongshan (China). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{chelali_TT_ICPRAI_2020,
   title={Spatio-temporal stability analysis in Satellite Image Times Series},
   year={2020},
   booktitle={Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2020},
   volume={12068},
   editor={Lu, Y.e.a.},
   month={October},
   address={Zhongshan (China)},
   pages={484-499},
   publisher={Springer},
   author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[22] Clément, M., Kurtz, C. & Wendling, L. (2020)
Enlacement and Interlacement Shape Descriptors,
In Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2020, 12068:525-537, Springer.
Zhongshan (China). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{clement_ICPRAI_2020,
   title={Enlacement and Interlacement Shape Descriptors},
   year={2020},
   booktitle={Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2020},
   volume={12068},
   editor={Lu, Y.e.a.},
   month={October},
   address={Zhongshan (China)},
   pages={525-537},
   publisher={Springer},
   author={Clément, M. and Kurtz, C. and Wendling, L.}
}
	
[23] Deléarde, R., Kurtz, C., Dejean, P. & Wendling, L. (2020)
Force Banner for the recognition of spatial relations,
In Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2020, pages 6065-6072, IEEE Computer Society.
Milano (Italia). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{delearde_ICPR_2020,
   title={Force Banner for the recognition of spatial relations},
   year={2020},
   booktitle={Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2020},
   month={January},
   address={Milano (Italia)},
   pages={6065-6072},
   publisher={IEEE Computer Society},
   doi={10.1109/ICPR48806.2021.9412316},
   author={Deléarde, R. and Kurtz, C. and Dejean, P. and Wendling, L.}
}
	
[24] Alhéritière, H., Amaïeur, W., Cloppet, F., Kurtz, C., Ogier, J. & Vincent, N. (2019)
Straight line reconstruction for fully materialized table extraction in degraded document images,
In Proceedings of the International Conference on Discrete Geometry for Computer Imagery -- DGCI 2019, 11414:317-329, Springer.
Paris (France). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{alheritiere_DGCI_2019,
   title={Straight line reconstruction for fully materialized table extraction in degraded document images},
   year={2019},
   booktitle={Proceedings of the International Conference on Discrete Geometry for Computer Imagery -- DGCI 2019},
   volume={11414},
   editor={Couprie, M.e.a.},
   month={March},
   address={Paris (France)},
   pages={317-329},
   publisher={Springer},
   doi={10.1007/978-3-030-14085-4\_25},
   author={Alhéritière, H. and Amaïeur, W. and Cloppet, F. and Kurtz, C. and Ogier, J. and Vincent, N.}
}
	
[25] Chelali, M., Kurtz, C., Puissant, A. & Vincent, N. (2019)
Urban land cover analysis from satellite image time series based on temporal stability,
In Proceedings of the IEEE Joint Urban Remote Sensing Event -- JURSE 2019, pages 1-4, IEEE Geoscience and Remote Sensing Society.
Vannes (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{chelali_JURSE_2019,
   title={Urban land cover analysis from satellite image time series based on temporal stability},
   year={2019},
   booktitle={Proceedings of the IEEE Joint Urban Remote Sensing Event -- JURSE 2019},
   month={May},
   address={Vannes (France)},
   pages={1-4},
   publisher={IEEE Geoscience and Remote Sensing Society},
   author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[26] Djiro, T., Kurtz, C. & Loménie, N. (2018)
Assessment of anti-tumor immune response in colorectal carcinomas from Whole Slide Images,
In Proceedings of the International Conference on Image Analysis and Recognition -- ICIAR 2018, 10882:1-10, Springer.
Póvoa de Varzim (Portugal). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{djiro_ICIAR_2018,
   title={Assessment of anti-tumor immune response in colorectal carcinomas from Whole Slide Images},
   year={2018},
   booktitle={Proceedings of the International Conference on Image Analysis and Recognition -- ICIAR 2018},
   volume={10882},
   editor={Campilho, A.e.a.},
   month={June},
   address={Póvoa de Varzim (Portugal)},
   pages={1-10},
   publisher={Springer},
   author={Djiro, T. and Kurtz, C. and Loménie, N.}
}
	
[27] Randrianasoa, T., Kurtz, C., Gançarski, P., Desjardin, E. & Passat, N. (2018)
Intrinsic Quality Analysis of Binary Partition Trees,
In Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2018, pages 114-119
Montréal (Canada).
[BibTeX BibTeX]
BibTeX :
@inproceedings{randrianasoa_ICPRAI_2018,
   title={Intrinsic Quality Analysis of Binary Partition Trees},
   year={2018},
   booktitle={Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2018},
   month={May},
   address={Montréal (Canada)},
   pages={114-119},
   author={Randrianasoa, T. and Kurtz, C. and Gançarski, P. and Desjardin, E. and Passat, N.}
}
	
[28] Alhéritière, H., Cloppet, F., Kurtz, C., Ogier, J. & Vincent, N. (2017)
A document straight line based segmentation for complex layout extraction,
In Proceedings of the IAPR International Conference on Document Analysis and Recognition -- ICDAR 2017, pages 1126-1131
Kyoto (Japan). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{alheritiere_ICDAR_2017,
   title={A document straight line based segmentation for complex layout extraction},
   year={2017},
   booktitle={Proceedings of the IAPR International Conference on Document Analysis and Recognition -- ICDAR 2017},
   month={November},
   address={Kyoto (Japan)},
   pages={1126-1131},
   doi={10.1109/ICDAR.2017.186},
   author={Alhéritière, H. and Cloppet, F. and Kurtz, C. and Ogier, J. and Vincent, N.}
}
	
[29] Clément, M., Coustaty, M., Kurtz, C. & Wendling, L. (2017)
Local Enlacement Histograms for Historical Drop Caps Style Recognition,
In Proceedings of the IAPR International Conference on Document Analysis and Recognition -- ICDAR 2017, pages 299-304
Kyoto (Japan). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{clement_ICDAR_2017,
   title={Local Enlacement Histograms for Historical Drop Caps Style Recognition},
   year={2017},
   booktitle={Proceedings of the IAPR International Conference on Document Analysis and Recognition -- ICDAR 2017},
   month={November},
   address={Kyoto (Japan)},
   pages={299-304},
   author={Clément, M. and Coustaty, M. and Kurtz, C. and Wendling, L.}
}
	
[30] Clément, M., Kurtz, C. & Wendling, L. (2017)
Fuzzy Directional Enlacement Landscapes,
In Proceedings of the International Conference on Discrete Geometry for Computer Imagery -- DGCI 2017, 10502:171-182, Springer.
Vienna (Austria). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{clement_DGCI_2017,
   title={Fuzzy Directional Enlacement Landscapes},
   year={2017},
   booktitle={Proceedings of the International Conference on Discrete Geometry for Computer Imagery -- DGCI 2017},
   volume={10502},
   editor={Kropatsch, W.e.a.},
   month={September},
   address={Vienna (Austria)},
   pages={171-182},
   publisher={Springer},
   author={Clément, M. and Kurtz, C. and Wendling, L.}
}
	
[31] Passat, N., Naegel, B. & Kurtz, C. (2017)
Implicit Component-Graph: A Discussion,
In Proceedings of the International Symposium on Mathematical Morphology -- ISMM 2017, 10225:215-226, Springer.
Fontainebleau (France). Long paper.
[BibTeX BibTeX] [URL pdf]
BibTeX :
@inproceedings{passat_ISMM_2017,
   title={Implicit Component-Graph: A Discussion},
   year={2017},
   booktitle={Proceedings of the International Symposium on Mathematical Morphology -- ISMM 2017},
   volume={10225},
   editor={Angulo, J.e.a.},
   month={May},
   address={Fontainebleau (France)},
   pages={215-226},
   publisher={Springer},
   author={Passat, N. and Naegel, B. and Kurtz, C.}
}
	
[32] Randrianasoa, T., Kurtz, C., Gançarski, P., Desjardin, E. & Passat, N. (2017)
Supervised evaluation of the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation purpose,
In Proceedings of the IEEE International Conference on Image Processing -- ICIP 2017, pages 3874-3878
Beijing (China).
[BibTeX BibTeX]
BibTeX :
@inproceedings{randrianasoa_ICIP_2017,
   title={Supervised evaluation of the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation purpose},
   year={2017},
   booktitle={Proceedings of the IEEE International Conference on Image Processing -- ICIP 2017},
   month={September},
   address={Beijing (China)},
   pages={3874-3878},
   author={Randrianasoa, T. and Kurtz, C. and Gançarski, P. and Desjardin, E. and Passat, N.}
}
	
[33] Clément, M., Kurtz, C. & Wendling, L. (2016)
Bags of Spatial Relations and Shapes Features for Structural Object Description,
In Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2016, pages 1995-2000, IEEE Computer Society.
Cancun (Mexico). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{clement_ICPR_2016,
   title={Bags of Spatial Relations and Shapes Features for Structural Object Description},
   year={2016},
   booktitle={Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2016},
   month={December},
   address={Cancun (Mexico)},
   pages={1995-2000},
   publisher={IEEE Computer Society},
   doi={10.1109/ICPR.2016.7899929},
   author={Clément, M. and Kurtz, C. and Wendling, L.}
}
	
[34] Alvarez Padilla, F., Grossiord, E., Romaniuk, B., Naegel, B., Kurtz, C., Talbot, H., Najman, L., Guillemot, L., Papathanassiou, D. & Passat, N. (2015)
Multicriteria 3D PET image segmentation,
In Proceedings of the International Conference on Image Processing Theory, Tools and Applications -- IPTA 2015, pages 346-351, IEEE Signal Processing Society.
Orléans (France). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{padilla_IPTA_2015,
   title={Multicriteria 3D PET image segmentation},
   year={2015},
   booktitle={Proceedings of the International Conference on Image Processing Theory, Tools and Applications -- IPTA 2015},
   month={November},
   address={Orléans (France)},
   pages={346-351},
   publisher={IEEE Signal Processing Society},
   doi={10.1109/IPTA.2015.7367162},
   author={Alvarez Padilla, F. and Grossiord, E. and Romaniuk, B. and Naegel, B. and Kurtz, C. and Talbot, H. and Najman, L. and Guillemot, L. and Papathanassiou, D. and Passat, N.}
}
	
[35] Clément, M., Garnier, M., Kurtz, C. & Wendling, L. (2015)
Color object recognition based on spatial relations between image layers,
In International Conference on Computer Vision Theory and Applications -- VISAPP 2015, pages 427-434, SCITEPRESS Digital Library.
Berlin (Germany). Short paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{clement_VISAPP_2015,
   title={Color object recognition based on spatial relations between image layers},
   year={2015},
   booktitle={International Conference on Computer Vision Theory and Applications -- VISAPP 2015},
   month={March},
   address={Berlin (Germany)},
   pages={427-434},
   publisher={SCITEPRESS Digital Library},
   doi={10.5220/0005291304270434},
   author={Clément, M. and Garnier, M. and Kurtz, C. and Wendling, L.}
}
	
[36] Kurtz, C., Idoux, P., Thangali, A., Cloppet, F., Beaulieu, C. & Rubin, D. (2015)
Semantic retrieval of radiological images with relevance feedback,
In Proceedings of the Multimodal Retrieval in the Medical Domain workshop -- MRMD@ECIR 2015, 9059:11-25, Springer.
Vienna (Austria). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{kurtz_MRMD_2015,
   title={Semantic retrieval of radiological images with relevance feedback},
   year={2015},
   booktitle={Proceedings of the Multimodal Retrieval in the Medical Domain workshop -- MRMD@ECIR 2015},
   volume={9059},
   editor={Müller, H.},
   month={April},
   address={Vienna (Austria)},
   pages={11-25},
   publisher={Springer},
   doi={10.1007/978-3-319-24471-6_2},
   author={Kurtz, C. and Idoux, P. and Thangali, A. and Cloppet, F. and Beaulieu, C. and Rubin, D.}
}
	
[37] Randrianasoa, T., Kurtz, C., Desjardin, E. & Passat, N. (2015)
Multi-image segmentation: A collaborative approach based on binary partition trees,
In Proceedings of the International Symposium on Mathematical Morphology -- ISMM 2015, 9082:253-264, Springer.
Reykjavik (Iceland). Long paper.
[BibTeX BibTeX] [DOI doi]
BibTeX :
@inproceedings{randrianasoa_ISMM_2015,
   title={Multi-image segmentation: A collaborative approach based on binary partition trees},
   year={2015},
   booktitle={Proceedings of the International Symposium on Mathematical Morphology -- ISMM 2015},
   volume={9082},
   editor={Benediktsson, J.e.a.},
   month={July},
   address={Reykjavik (Iceland)},
   pages={253-264},
   publisher={Springer},
   doi={10.1007/978-3-319-18720-4_22},
   author={Randrianasoa, T. and Kurtz, C. and Desjardin, E. and Passat, N.}
}
	
[38] Kurtz, C., Depeursinge, A., Beaulieu, C. & Rubin, D. (2014)
A semantic framework for the retrieval of similar radiological images based on medical annotations,
In Proceedings of the IEEE International Conference on Image Processing -- ICIP 2014, pages 2241-2245, IEEE Signal Processing Society.
Paris (France). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{kurtz_ICIP_2014,
   title={A semantic framework for the retrieval of similar radiological images based on medical annotations},
   year={2014},
   booktitle={Proceedings of the IEEE International Conference on Image Processing -- ICIP 2014},
   month={October},
   address={Paris (France)},
   pages={2241-2245},
   publisher={IEEE Signal Processing Society},
   doi={10.1109/ICIP.2014.7025454},
   author={Kurtz, C. and Depeursinge, A. and Beaulieu, C. and Rubin, D.}
}
	
[39] Kurtz, C., Naegel, B. & Passat, N. (2014)
Multivalued component-tree filtering,
In Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2014, pages 1008-1013, IEEE Computer Society.
Stockholm (Sweden). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{kurtz_ICPR_2014,
   title={Multivalued component-tree filtering},
   year={2014},
   booktitle={Proceedings of the IEEE International Conference on Pattern Recognition -- ICPR 2014},
   month={August},
   address={Stockholm (Sweden)},
   pages={1008-1013},
   publisher={IEEE Computer Society},
   doi={10.1109/ICPR.2014.183},
   author={Kurtz, C. and Naegel, B. and Passat, N.}
}
	
[40] Kurtz, C., Passat, N., Gançarski, P. & Puissant, A. (2012)
A histogram semantic-based distance for multiresolution image classification,
In Proceedings of the IEEE International Conference on Image Processing -- ICIP 2012, pages 1157-1160, IEEE Signal Processing Society.
Orlando (USA). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{kurtz_ICIP_2012,
   title={A histogram semantic-based distance for multiresolution image classification},
   year={2012},
   booktitle={Proceedings of the IEEE International Conference on Image Processing -- ICIP 2012},
   month={September},
   address={Orlando (USA)},
   pages={1157-1160},
   publisher={IEEE Signal Processing Society},
   doi={10.1109/ICIP.2012.6467070},
   author={Kurtz, C. and Passat, N. and Gançarski, P. and Puissant, A.}
}
	
[41] Kurtz, C., Puissant, A., Passat, N. & Gançarski, P. (2012)
Domain adaptation for the extraction of complex urban patterns from multiresolution satellite images,
In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium -- IGARSS 2012, pages 1773-1776, IEEE Geoscience and Remote Sensing Society.
Munich (Germany). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{kurtz_IGARSS_2012,
   title={Domain adaptation for the extraction of complex urban patterns from multiresolution satellite images},
   year={2012},
   booktitle={Proceedings of the IEEE International Geoscience and Remote Sensing Symposium -- IGARSS 2012},
   month={July},
   address={Munich (Germany)},
   pages={1773-1776},
   publisher={IEEE Geoscience and Remote Sensing Society},
   doi={10.1109/IGARSS.2012.6351172},
   author={Kurtz, C. and Puissant, A. and Passat, N. and Gançarski, P.}
}
	
[42] Kurtz, C., Passat, N., Puissant, A. & Gançarski, P. (2011)
Hierarchical segmentation of multiresolution remote sensing images,
In Proceedings of the International Symposium on Mathematical Morphology -- ISMM 2011, 6671:343-354, Springer.
Intra (Italy). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{kurtz_ISMM_2011,
   title={Hierarchical segmentation of multiresolution remote sensing images},
   year={2011},
   booktitle={Proceedings of the International Symposium on Mathematical Morphology -- ISMM 2011},
   volume={6671},
   editor={Soille, P. and Pesaresi, M. and Ouzounis, G.},
   month={July},
   address={Intra (Italy)},
   pages={343-354},
   publisher={Springer},
   doi={10.1007/978-3-642-21569-8_30},
   author={Kurtz, C. and Passat, N. and Puissant, A. and Gançarski, P.}
}
	
[43] Kurtz, C., Petitjean, F. & Gançarski, P. (2011)
A context-based approach for the classification of satellite image time series,
In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium -- IGARSS 2011, pages 495-498, IEEE Geoscience and Remote Sensing Society.
Vancouver (Canada). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{kurtz_IGARSS_2011,
   title={A context-based approach for the classification of satellite image time series},
   year={2011},
   booktitle={Proceedings of the IEEE International Geoscience and Remote Sensing Symposium -- IGARSS 2011},
   month={July},
   address={Vancouver (Canada)},
   pages={495-498},
   publisher={IEEE Geoscience and Remote Sensing Society},
   doi={10.1109/IGARSS.2011.6049173},
   author={Kurtz, C. and Petitjean, F. and Gançarski, P.}
}
	
[44] Kurtz, C., Puissant, A., Passat, N. & Gançarski, P. (2011)
An interactive approach for extraction of urban patterns from multisource images,
In Proceedings of the IEEE Joint Urban Remote Sensing Event -- JURSE 2011, pages 321-324, IEEE Geoscience and Remote Sensing Society.
Munich (Germany). Long paper.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{kurtz_JURSE_2011,
   title={An interactive approach for extraction of urban patterns from multisource images},
   year={2011},
   booktitle={Proceedings of the IEEE Joint Urban Remote Sensing Event -- JURSE 2011},
   month={April},
   address={Munich (Germany)},
   pages={321-324},
   publisher={IEEE Geoscience and Remote Sensing Society},
   doi={10.1109/JURSE.2011.5764784},
   author={Kurtz, C. and Puissant, A. and Passat, N. and Gançarski, P.}
}
	

D. Research Articles in Chapters or Books

[1] Kurtz, C. & Vincent, N. (2021)
Optimal Choices of Features in Image Analysis,
In Advances in Pattern Recognition and Artificial Intelligence, pages 161-182, World Scientific.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inbook{kurtzPRAI2021,
   title={Optimal Choices of Features in Image Analysis},
   year={2021},
   booktitle={Advances in Pattern Recognition and Artificial Intelligence},
   editor={Suen, C.Y.},
   pages={161-182},
   publisher={World Scientific},
   doi={10.1142/9789811239014_0010},
   author={Kurtz, C. and Vincent, N.}
}
	
[2] Vincent, N. & Kurtz, C. (Beugnet, M. & Bohet, B. (eds)). (2019)
Images Et Patrimoine Numérisé - Enjeux Et Nouveaux Usages,
Éditions Le Bord de l'eau.
[BibTeX BibTeX] [URL pdf]
BibTeX :
@book{udpn2019,
   title={Images Et Patrimoine Numérisé - Enjeux Et Nouveaux Usages},
   year={2019},
   editor={Beugnet, M. and Bohet, B.},
   publisher={Éditions Le Bord de l'eau},
   author={Vincent, N. and Kurtz, C.}
}
	

E. Abstracts in International Conference or Workshops Proceedings

[1] Kurtz, C., Stumpf, A., Malet, J., Gançarski, P., Puissant, A. & Passat, N. (2015)
Automated detection of landslides with a hierarchical multi-resolution image analysis approach,
In Proceedings of the European Geosciences Union General Assembly -- EGU 2015, Geophysical Research Abstracts.
Vienna (Austria). Abstract paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{kurtz_EGU_2015,
   title={Automated detection of landslides with a hierarchical multi-resolution image analysis approach},
   year={2015},
   booktitle={Proceedings of the European Geosciences Union General Assembly -- EGU 2015},
   month={April},
   address={Vienna (Austria)},
   publisher={Geophysical Research Abstracts},
   author={Kurtz, C. and Stumpf, A. and Malet, J. and Gançarski, P. and Puissant, A. and Passat, N.}
}
	
[2] Depeursinge, A., Kurtz, C., Napel, S., Beaulieu, C. & Rubin, D. (2014)
Texture-Based Computational Models of Biomedical Tissue in Radiological Images: Unveiling the Invisible,
In Proceedings of the 14th annual Symposium Biomedical Computation at Stanford -- BCATS 2014, Stanford Community.
Palo Alto (USA). Abstract paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{depeursinge_BCATS_2014,
   title={Texture-Based Computational Models of Biomedical Tissue in Radiological Images: Unveiling the Invisible},
   year={2014},
   booktitle={Proceedings of the 14th annual Symposium Biomedical Computation at Stanford -- BCATS 2014},
   month={January},
   address={Palo Alto (USA)},
   publisher={Stanford Community},
   author={Depeursinge, A. and Kurtz, C. and Napel, S. and Beaulieu, C. and Rubin, D.}
}
	
[3] Rubin, D., Willrett, D. & Kurtz, C. (2013)
ePAD: Enabling Routine Imaging Assessment of Cancer Treatment Response in the Clinical Workflow,
In Proceedings of the RSNA Scientific Annual Meeting -- RSNA 2013, Radiological Society of North America.
Chicago (USA). Abstract paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{rubin_RSNA_213,
   title={ePAD: Enabling Routine Imaging Assessment of Cancer Treatment Response in the Clinical Workflow},
   year={2013},
   booktitle={Proceedings of the RSNA Scientific Annual Meeting -- RSNA 2013},
   month={November},
   address={Chicago (USA)},
   publisher={Radiological Society of North America},
   author={Rubin, D. and Willrett, D. and Kurtz, C.}
}
	

F. Research Articles in National Conference or Workshops Proceedings

[1] Deléarde, R., Kurtz, C., Dejean, P. & Wendling, L. (2021)
Description et reconnaissance de relations spatiales avec le bandeau de forces,
In Proceedings of the Congrès des Jeunes Chercheurs en Vision par Ordinateur -- ORASIS 2021, pages 1-7
Toulouse (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{robin_ORASIS_2021,
   title={Description et reconnaissance de relations spatiales avec le bandeau de forces},
   year={2021},
   booktitle={Proceedings of the Congrès des Jeunes Chercheurs en Vision par Ordinateur -- ORASIS 2021},
   month={September},
   address={Toulouse (France)},
   pages={1-7},
   author={Deléarde, R. and Kurtz, C. and Dejean, P. and Wendling, L.}
}
	
[2] Risser-Maroix, O., Marzouki, A., Djeghim, H., Kurtz, C. & Loménie, N. (2021)
Fonction d'adaptation pour similarité visuelle,
In Proceedings of the Congrès des Jeunes Chercheurs en Vision par Ordinateur -- ORASIS 2021, pages 1-7
Toulouse (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{olivier_ORASIS_2021,
   title={Fonction d'adaptation pour similarité visuelle},
   year={2021},
   booktitle={Proceedings of the Congrès des Jeunes Chercheurs en Vision par Ordinateur -- ORASIS 2021},
   month={September},
   address={Toulouse (France)},
   pages={1-7},
   author={Risser-Maroix, O. and Marzouki, A. and Djeghim, H. and Kurtz, C. and Loménie, N.}
}
	
[3] Bourreau, M., Kurtz, C., Kieu, C. & Vincent, N. (2020)
Segmentation couleur d’un document par canaux dominants,
In Proceedings of the Colloque International Francophone sur l’Écrit et le Document -- SIFED 2020, pages 1-6
Online (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{mael_SIFED_2020,
   title={Segmentation couleur d’un document par canaux dominants},
   year={2020},
   booktitle={Proceedings of the Colloque International Francophone sur l’Écrit et le Document -- SIFED 2020},
   month={March},
   address={Online (France)},
   pages={1-6},
   author={Bourreau, M. and Kurtz, C. and Kieu, C. and Vincent, N.}
}
	
[4] Chelali, M., Kurtz, C., Puissant, A. & Vincent, N. (2020)
Classification de séries temporelles d’images basée sur une représentation planaire spatio-temporelle,
In Proceedings of the Atelier Apprentissage Profond: Théorie et Applications, Journées Francophones Extraction et Gestion des Connaissances (EGC 2020) -- APTA 2020, pages 25-36
Bruxelles (Belgique). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{chelali_APTA_2020,
   title={Classification de séries temporelles d’images basée sur une représentation planaire spatio-temporelle},
   year={2020},
   booktitle={Proceedings of the Atelier Apprentissage Profond: Théorie et Applications, Journées Francophones Extraction et Gestion des Connaissances (EGC 2020) -- APTA 2020},
   month={January},
   address={Bruxelles (Belgique)},
   pages={25-36},
   author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[5] Chelali, M., Kurtz, C., Puissant, A. & Vincent, N. (2020)
Des pixels aux segments pour la classification de séries temporelles d'images via des réseaux de neurones convolutionnels,
In Proceedings of the Congrès National sur la Reconnaissance des Formes et l'Intelligence Artificielle -- RFIA 2020, pages 1-7
Vannes (France). Long paper.
[BibTeX BibTeX] [URL pdf]
BibTeX :
@inproceedings{chelali_RFIA_2020,
   title={Des pixels aux segments pour la classification de séries temporelles d'images via des réseaux de neurones convolutionnels},
   year={2020},
   booktitle={Proceedings of the Congrès National sur la Reconnaissance des Formes et l'Intelligence Artificielle -- RFIA 2020},
   month={July},
   address={Vannes (France)},
   pages={1-7},
   author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[6] Clément, M., Kurtz, C. & Wendling, L. (2017)
Sacs de relations spatiales et de formes pour la reconnaissance d'images de scènes naturelles,
In Proceedings of the Congrès des Jeunes Chercheurs en Vision par Ordinateur -- ORASIS 2017, pages 1-7
Colleville-sur-Mer (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{clement_ORASIS_2017,
   title={Sacs de relations spatiales et de formes pour la reconnaissance d'images de scènes naturelles},
   year={2017},
   booktitle={Proceedings of the Congrès des Jeunes Chercheurs en Vision par Ordinateur -- ORASIS 2017},
   month={June},
   address={Colleville-sur-Mer (France)},
   pages={1-7},
   author={Clément, M. and Kurtz, C. and Wendling, L.}
}
	
[7] Randrianasoa, T., Kurtz, C., Desjardin, E. & Passat, N. (2017)
Réflexions sur l’évaluation supervisée de la qualité d’un arbre binaire de partitions d’image,
In Proceedings of the Atelier Fouille de Données Complexes, Journées Francophones Extraction et Gestion des Connaissances (EGC 2017) -- FDC 2017, pages 25-36
Grenoble (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{radrianasoa_FDC_2017,
   title={Réflexions sur l’évaluation supervisée de la qualité d’un arbre binaire de partitions d’image},
   year={2017},
   booktitle={Proceedings of the Atelier Fouille de Données Complexes, Journées Francophones Extraction et Gestion des Connaissances (EGC 2017) -- FDC 2017},
   month={January},
   address={Grenoble (France)},
   pages={25-36},
   author={Randrianasoa, T. and Kurtz, C. and Desjardin, E. and Passat, N.}
}
	
[8] Alhéritière, H., Kurtz, C., Cloppet, F. & Vincent, N. (2016)
Utilisation de la couleur pour l’extraction de tableaux dans des images de documents,
In Proceedings of the Colloque International Francophone sur l’Écrit et le Document -- CIFED 2016, pages 349-364
Toulouse (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{alheritiere_CIFED_2016,
   title={Utilisation de la couleur pour l’extraction de tableaux dans des images de documents},
   year={2016},
   booktitle={Proceedings of the Colloque International Francophone sur l’Écrit et le Document -- CIFED 2016},
   month={March},
   address={Toulouse (France)},
   pages={349-364},
   author={Alhéritière, H. and Kurtz, C. and Cloppet, F. and Vincent, N.}
}
	
[9] Clément, M., Kurtz, C. & Wendling, L. (2016)
Descripteurs directionnels d'enlacement et d'entrelacement entre objets,
In Proceedings of the Congrès National sur la Reconnaissance des Formes et l'Intelligence Artificielle -- RFIA 2016, pages 1-7
Clermont-Ferrand (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{clement_RFIA_2016,
   title={Descripteurs directionnels d'enlacement et d'entrelacement entre objets},
   year={2016},
   booktitle={Proceedings of the Congrès National sur la Reconnaissance des Formes et l'Intelligence Artificielle -- RFIA 2016},
   month={July},
   address={Clermont-Ferrand (France)},
   pages={1-7},
   author={Clément, M. and Kurtz, C. and Wendling, L.}
}
	
[10] Clément, M., Kurtz, C. & Wendling, L. (2015)
Descripteurs de relations spatiales entre régions structurelles pour la reconnaissance d'objets en couleurs,
In Proceedings of the Atelier Fouille de Données Complexes, Journées Francophones Extraction et Gestion des Connaissances (EGC 2015) -- FDC 2015, pages 25-36, Revue des Nouvelles Technologies de l'Information.
Luxembourg (Luxembourg). Long paper.
[BibTeX BibTeX] [URL pdf]
BibTeX :
@inproceedings{clement_FDC_2015,
   title={Descripteurs de relations spatiales entre régions structurelles pour la reconnaissance d'objets en couleurs},
   year={2015},
   booktitle={Proceedings of the Atelier Fouille de Données Complexes, Journées Francophones Extraction et Gestion des Connaissances (EGC 2015) -- FDC 2015},
   month={January},
   address={Luxembourg (Luxembourg)},
   pages={25-36},
   publisher={Revue des Nouvelles Technologies de l'Information},
   author={Clément, M. and Kurtz, C. and Wendling, L.}
}
	
[11] Kurtz, C. & Rubin, D. (2014)
Intégration de connaissances sémantiques pour la recherche d'images médicales similaires dans des bases de données,
In Proceedings of the Atelier Intégration de Connaissances au sein des Processus d'Analyse d'images, Congrès national sur la Reconnaissance de Formes et l'Intelligence Artificielle (RFIA 2014) -- ICOPA 2014, pages 1-7
Rouen (France). Long paper.
[BibTeX BibTeX] [URL pdf]
BibTeX :
@inproceedings{kurtz_ICOPA_2014,
   title={Intégration de connaissances sémantiques pour la recherche d'images médicales similaires dans des bases de données},
   year={2014},
   booktitle={Proceedings of the Atelier Intégration de Connaissances au sein des Processus d'Analyse d'images, Congrès national sur la Reconnaissance de Formes et l'Intelligence Artificielle (RFIA 2014) -- ICOPA 2014},
   month={July},
   address={Rouen (France)},
   pages={1-7},
   author={Kurtz, C. and Rubin, D.}
}
	
[12] Kurtz, C. & Rubin, D. (2014)
Utilisation de relations ontologiques pour la comparaison d'images décrites par des annotations sémantiques,
In Proceedings of the Conférence Internationale Francophone sur l'Extraction et la Gestion de Connaissance -- EGC 2014, pages 26-34, Revue des Nouvelles Technologies de l'Information.
Rennes (France). Short paper.
[BibTeX BibTeX] [URL pdf]
BibTeX :
@inproceedings{kurtz_EGC_2014,
   title={Utilisation de relations ontologiques pour la comparaison d'images décrites par des annotations sémantiques},
   year={2014},
   booktitle={Proceedings of the Conférence Internationale Francophone sur l'Extraction et la Gestion de Connaissance -- EGC 2014},
   month={January},
   address={Rennes (France)},
   pages={26-34},
   publisher={Revue des Nouvelles Technologies de l'Information},
   author={Kurtz, C. and Rubin, D.}
}
	
[13] Kurtz, C. (2012)
Une distance hiérarchique basée sur la sémantique pour la comparaison d'histogrammes nominaux,
In Proceedings of the Conférence Internationale Francophone sur l'Extraction et la Gestion de Connaissance -- EGC 2012, pages 77-88, Revue des Nouvelles Technologies de l'Information.
Bordeaux (France). Long paper.
[BibTeX BibTeX] [URL pdf]
BibTeX :
@inproceedings{kurtz_EGC_2012,
   title={Une distance hiérarchique basée sur la sémantique pour la comparaison d'histogrammes nominaux},
   year={2012},
   booktitle={Proceedings of the Conférence Internationale Francophone sur l'Extraction et la Gestion de Connaissance -- EGC 2012},
   month={January},
   address={Bordeaux (France)},
   pages={77-88},
   publisher={Revue des Nouvelles Technologies de l'Information},
   author={Kurtz, C.}
}
	
[14] Kurtz, C. (2011)
Classification non supervisée de données satellites multirésolution,
In Proceedings of the Atelier Fouille de Données Complexes, Journées Francophones Extraction et Gestion des Connaissances (EGC 2011) -- FDC 2011, pages 143-152, Revue des Nouvelles Technologies de l'Information.
Brest (France). Long paper.
[BibTeX BibTeX]
BibTeX :
@inproceedings{kurtz_FDC_2011,
   title={Classification non supervisée de données satellites multirésolution},
   year={2011},
   booktitle={Proceedings of the Atelier Fouille de Données Complexes, Journées Francophones Extraction et Gestion des Connaissances (EGC 2011) -- FDC 2011},
   month={January},
   address={Brest (France)},
   pages={143-152},
   publisher={Revue des Nouvelles Technologies de l'Information},
   author={Kurtz, C.}
}
	
[15] Kurtz, C. (2011)
Extraction de connaissances hiérarchisées à partir d'images multirésolutions : application à la télédétection,
In Proceedings of the Rencontres de la Société Francophone de Classification -- SFC 2011, pages 56-62
Orléans (France). Long paper.
[BibTeX BibTeX] [URL pdf]
BibTeX :
@inproceedings{kurtz_SFC_2011,
   title={Extraction de connaissances hiérarchisées à partir d'images multirésolutions : application à la télédétection},
   year={2011},
   booktitle={Proceedings of the Rencontres de la Société Francophone de Classification -- SFC 2011},
   month={October},
   address={Orléans (France)},
   pages={56-62},
   author={Kurtz, C.}
}
	

G. PhD Thesis

[1] Kurtz, C. (2012)
Approche collaborative segmentation-classification pour l'analyse descendante d'images multirésolutions,
Thesis defended at Université de Strasbourg (LSIIT UMR CNR/UdS 7005), Funding: French national grant (2009-2012).
[BibTeX BibTeX] [URL pdf]
BibTeX :
@phdthesis{kurtz_PHD_2012,
   title={Approche collaborative segmentation-classification pour l'analyse descendante d'images multirésolutions},
   year={2012},
   month={September},
   school={Université de Strasbourg (LSIIT UMR CNR/UdS 7005), Funding: French national grant (2009-2012)},
   author={Kurtz, C.}
}
	

Supervision of students

I have (had) the pleasure of working with the following people.
Sudents sleeping

Postdocs and Research engineers

  • Yuxing Chen
    Subject: Multimodal VQA for remote sensing
    Funding: ANR TAMMI
    Supervisors: S. Lobry, C. Kurtz, L. Wendling
    Period: 2024-2025, 12 months
  • Amine Marzouki
    Subject: Digital Histopathology and Micro Tumoral Environment Analysis and Exploration
    Funding: PRTK - AI-COLOPREDICT
    Supervisors: C. Kurtz, N. Loménie
    Period: 2022-2024, 20 months

  • Zografoula Vagena
    Subject: Integration of a priori knowledge to guide the supervision of the learning of visual representations in radiology
    Funding: Data Intelligence Institute of Paris (diiP)
    Supervisors: C. Kurtz, F. Cloppet
    Period: 2023, full-time
  • Zografoula Vagena
    Subject: Digital histopathology: patch-based semantic segmentation
    Funding: Data Intelligence Institute of Paris (diiP)
    Supervisors: C. Kurtz, N. Loménie
    Period: 2021, part-time

Ph.D. students

  • Hichem Boussaid (thesis in progress ⌛)
    Subject: Multimodal VQA for remote sensing
    University: Université Paris Cité
    Funding: ANR TAMMI
    Supervisors: S. Lobry, C. Kurtz, L. Wendling
    Period: 2023 - 2026
  • Logan Servant (thesis in progress ⌛)
    Subject: Sémantique et relations spatiales pour l'apprentissage de représentations
    University: Université Paris Cité
    Funding: Allocation MESR
    Supervisors: C. Kurtz, L. Wendling
    Period: 2023 - 2026
  • Jérôme De Chauveron (thesis in progress ⌛)
    Subject: Recognition of malignant lesions from smartphone acquisitions in the context of the detection of oral cancers in odontology
    University: Sorbonne Université
    Funding: ANRT CIFRE, in collaboration with ANALOGIES
    Supervisors: C. Kurtz, L. Wendling, J. Rochefort (APHP), G. Lescaille (APHP), Max Unger (Termel)
    Period: 2023 - 2026
  • Lazhar Bouacha (thesis in progress ⌛)
    Subject: Analysis and quantitative measurement of events from video streams of sports competitions
    University: Université Paris Cité
    Funding: ANRT CIFRE, in collaboration with CHAMP'S
    Supervisors: C. Kurtz, L. Wendling, Thierry Magnien (CHAMP'S)
    Period: 2023 - 2026
  • Xiaoyang Wei (thesis in progress ⌛)
    Subject: Combining visual and textual information for enhancing pathologic case retrieval systems in radiological practices
    University: Université Paris Cité
    Funding: China Scholarship Council (CSC)
    Supervisors: F. Cloppet, C. Kurtz
    Period: 2022 - 2025
  • Zhuxian Guo (thesis in progress ⌛)
    Subject: Digital Histopathology and Micro Tumoral Environment Analysis and Exploration
    University: Université de Paris
    Funding: Data Intelligence Institute of Paris (diiP)
    Supervisors: N. Loménie (doctoral advisor), C. Kurtz
    Period: 2021 - 2024
  • Thibault Sauron (thesis in progress ⌛)
    Subject: Search for similar pathological cases in radiological image databases
    University: Université de Paris
    Funding: Paris Region PhD2020, in collaboration with Philips Healthcare
    Supervisors: F. Cloppet (doctoral advisor), C. Kurtz
    Period: 2020 - 2022

  • Olivier Risser-Maroix (thesis defended! 🙏)
    Subject: Deep learning for irregularity detection and indexing in X-Ray Imaging
    University: Université de Paris
    Funding: ANRT CIFRE, in collaboration with Smiths Detection
    Supervisors: N. Loménie (doctoral advisor), C. Kurtz, N. Gadi (Smiths Detection)
    Period: 2020 - 2022
    Manuscript: [URL pdf]
  • Robin Deléarde (thesis defended! 🙏)
    Subject: Learning and modeling of spatial relationships for the semantic description of scenes and the prediction of risk situations
    University: Université de Paris
    Funding: ANRT CIFRE Défense, in collaboration with Magellium
    Supervisors: L. Wendling (doctoral advisor), C. Kurtz, P. Dejean (Magellium)
    Period: 2020 - 2022
    Manuscript: [URL pdf]
  • Mohamed Tayeb Chelali (thesis defended! 🙏)
    Subject: Prise en compte de l’information spatiale et temporelle pour l’analyse de séquences d’images
    University: Université Paris Descartes
    Funding: ANR TIMES
    Supervisors: C. Kurtz, A. Puissant, N. Vincent (doctoral advisor)
    Period: 2018 - 2021
    Manuscript: [URL pdf]
  • Héloïse Alhéritière (thesis defended! 🙏)
    Subject: Sécurisation des documents hybrides par une analyse physique des contenus
    University: Université Paris Descartes
    Funding: ANR SHADES
    Supervisors: N. Vincent (co-doctoral advisor), J.M. Ogier (co-doctoral advisor), F. Cloppet, C. Kurtz
    Period: 2015 - 2019
    Manuscript: [URL pdf]
  • Michaël Clément (thesis defended! 🙏)
    Subject: Modélisation et apprentissage de relations spatiales pour la reconnaissance et l'interprétation d'images
    University: Université Paris Descartes
    Funding: Allocation MESR
    Supervisors: L. Wendling (doctoral advisor), C. Kurtz
    Period: 2014 - 2017 (thesis defended on 26/09/2017!)
    Manuscript: [URL pdf]
  • Tianatahina Jimmy Francky Randrianasoa (thesis defended! 🙏)
    Subject: Hierarchical multi-feature image representation
    University: Université de Reims Champagne-Ardenne
    Funding: Allocation MESR
    Supervisors: N. Passat (doctoral advisor), E. Desjardin, C. Kurtz
    Period: 2014 - 2017 (thesis defended on 08/12/2017!)
    Manuscript: [URL pdf]

Master (M.Sc.) - Research internships

  • Fei Fei
    Cursus : Master Informatique VMI (Université Paris Cité)
    Subject: Identification of image circulation by AI in large collections of historical photographs
    Supervisors: D. Foliard, F. Cloppet, C. Kurtz
    Period: 2024, 6 months
  • Yanis Abdelouahad Kouadri
    Cursus : Master Informatique VMI (Université Paris Cité)
    Subject: Biomarker prediction from images of histological slides of cancerous tissues using modern AI techniques: comparisons of different neural architectures
    Supervisors: C. Kurtz, N. Loménie
    Period: 2024, 6 months

  • Hichem Boussaid
    Cursus : Master Informatique VMI (Université Paris Cité)
    Subject: Multimodal VQA for remote sensing
    Supervisors: S. Lobry, C. Kurtz, L. Wendling
    Period: 2023, 6 months
  • Logan Servant
    Cursus : Master Informatique VMI (Université Paris Cité)
    Subject: Sémantique et relations spatiales pour l'apprentissage de représentations
    Supervisors: C. Kurtz
    Period: 2023, 6 months
  • Houassini Hamdoun
    Cursus : École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)
    Subject: Mise à jour de SIG à partir de STIS
    Supervisors: C. Kurtz, N. Vincent
    Period: 2023, 6 months
  • Anton Emelchenkov
    Cursus: Master Informatique (Institut Polytechnique de Paris)
    Subject: Multimodal VQA for remote sensing
    Supervisors: S. Lobry, C. Kurtz, L. Wendling
    Period: 2022, 6 months
  • Pierre Davant
    Cursus: Master Informatique VMI (University of Paris, France)
    Subject: Analyse de documents d'identité à partir de vidéos mobiles
    Supervisors: C. Kurtz, N. Vincent
    Period: 2022, 6 months
  • Aurélie Ling
    Cursus: Master Informatique VMI (University of Paris, France)
    Subject: Détection de changements en imagerie de documents
    Supervisors: C. Kurtz, N. Vincent
    Period: 2022, 6 months
  • Zixuan Wang
    Cursus: Ecole Centrale de Nantes (France)
    Subject: Combining visual and textual information for enhancing medical image retrieval systems
    Funding: Diip project
    Supervisors: C. Kurtz, F. Cloppet
    Period: 2022, 6 months
  • Amine Marzouki
    Cursus: Master Informatique VMI (University of Paris, France)
    Subject: Semantic segmentation for digital pathology imaging
    Funding: PRTK - AI-COLOPREDICT
    Supervisors: C. Kurtz, N. Loménie
    Period: 2022, 10 months (apprentissage)
  • Zhuxian Guo
    Cursus: Ecole Centrale de Nantes (France)
    Subject: Digital Pathology: when AI meets with anatomo-pathology
    Funding: Diip project
    Supervisors: C. Kurtz, N. Loménie
    Period: 2021, 6 months
  • Guillaume Sérieys
    Cursus: Master BME (University Paris Descartes, France)
    Subject: Combining visual and textual information for enhancing image retrieval systems in radiological practices
    Funding: Diip project
    Supervisors: C. Kurtz, F. Cloppet
    Period: 2021, 6 months
  • Camilo Arguello
    Cursus: Master Informatique IMA (Sorbonne University, France)
    Subject: Smoothing of incomplete air pollution regions of interest from satellite observations
    Funding: Diip project
    Supervisors: L. Wendling, C. Kurtz, N. Vincent, G. Dufour (partnership with LISA lab)
    Period: 2021, 6 months
  • Lucas Colomines
    Cursus: Master Informatique VMI (University of Paris, France)
    Subject: Large image time series analysis for updating vineyard geographic databases
    Funding: Diip project
    Supervisors: C. Kurtz, M. Linardi, N. Vincent
    Period: 2021, 6 months
  • Oumayma Kada
    Cursus: Master Informatique VMI (University of Paris, France)
    Subject: Détection d'hologrammes
    Supervisors: C. Kurtz, N. Vincent
    Period: 2021, 6 months
  • Maxime Faure
    Cursus: Master Informatique IMA (Sorbonne University, France)
    Subject: Visual Spatial Question Answering
    Supervisors: S. Lobry, C. Kurtz, L. Wendling
    Period: 2021, 6 months
  • Mohamed-Hicham Leghettas
    Cursus: Master Informatique VMI (University of Paris, France)
    Subject: Étude et combinaison de critères de sélection de régions pour la segmentation faiblement supervisée
    Supervisors: R. Déléarde, C. Kurtz, L. Wendling
    Period: 2021, 6 months
  • Sébastien Gradit
    Cursus: Master Informatique IMA (Sorbonne University, France)
    Subject: Segmentation par apprentissage d'images médicales xSPECT
    Supervisors: C. Kurtz, N. Passat
    Period: 2020, 6 months
  • Mael Bourreau
    Cursus: Master Informatique IP (University of Paris, France)
    Subject: Segmentation en couches couleurs de documents
    Supervisors: C. Kurtz, N. Vincent
    Period: 2020, 5 months
  • Anis Acherar
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Automation of the interpretation of Western blot profiles for the diagnosis of toxoplasmosis
    Supervisors: C. Kurtz, N. Loménie, R. Piarroux (partnership with APHP-Pitié)
    Period: 2019, 5 months
  • Manal Hamzaoui
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Handwritten document image processing
    Supervisors: C. Kurtz, N. Vincent
    Period: 2019, 5 months
  • Ruiwen He
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Heterogeneous document image analysis
    Supervisors: C. Kurtz, N. Vincent
    Period: 2019, 5 months
  • Xueke Ma
    Cursus: Master BME (University Paris Descartes, France)
    Subject: Segmentation par apprentissage d'images médicales xSPECT
    Supervisors: C. Kurtz, N. Passat
    Period: 2019, 6 months
  • Walid Amaieur
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Extraction de tableaux dans une image de document
    Supervisors: Héloïse Alhéritière, C. Kurtz, F. Cloppet, N. Vincent
    Period: 2018, 4 months
  • Alexandre Yarbakhch
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Digital pathology for assessing auti-tumoral immune response
    Supervisors: N. Loménie, C. Kurtz
    Period: 2018, 4 months
  • Florian Cunat
    Cursus: Engineering degree in Health and Computer Science (ECE Paris)
    Subject: Digital pathology for assessing auti-tumoral immune response
    Supervisors: N. Loménie, C. Kurtz
    Period: 2018, 3 months
  • Mohamed Tayeb Chelali
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Spatio-temporal features in satellite image time series
    Supervisors: C. Kurtz, N. Vincent and L. Wendling
    Period: 2018, 4 months
  • Jordan Gonzalez
    Cursus: Master Informatique IMA (University Pierre and Marie Curie, France)
    Subject: Content-based image retrieval of multisequence MRI
    Supervisors: C. Kurtz, F. Cloppet and Laure Fournier (partnership with APHP-HEGP)
    Period: 2017, 6 months
  • Armand Tiede Djiro
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Développement d'une approche d'analyse d'images histopathologique pour évaluer la réponse immune anti-tumorale dans le cadre du traitement de cancers colorectaux chez la souris
    Supervisors: N. Loménie, C. Kurtz, L. Wendling, N. Mignet
    Period: 2017, 6 months
  • Raouf Aissa
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Analyse du mouvement dans une vidéo
    Supervisors: N. Vincent, C. Kurtz
    Period: 2017, 5 months
  • Lylia Yakouben
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Détection de signature dans une image de document
    Supervisors: Héloïse Alhéritière, C. Kurtz, F. Cloppet, N. Vincent
    Period: 2016, 4-5 months
  • Mara Poos
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Analyse de l’impact du contenu d’une vidéo sur le ressenti visuel
    Supervisors: N. Vincent, C. Kurtz
    Period: 2016, 4-5 months
  • Yanki Sesyilmaz
    Cursus: Master Informatique IMA (University Pierre and Marie Curie, France)
    Subject: Integrating relevance feedback in content-based image retrieval applications for medical imaging
    Supervisors: C. Kurtz, F. Cloppet and Laure Fournier (partnership with APHP-HEGP)
    Period: 2016, 6 months
  • Carlos Tor Díez
    Cursus: Engineering degree in Telecommunication (Universitat Politècnica de Catalunya, BarcelonaTech, Barcelona, Spain)
    Subject: Integrating relevance feedback in content-based image retrieval applications for medical imaging
    Supervisors: C. Kurtz, F. Cloppet (and partnership with Télécom ParisTech)
    Period: 2015, 5 months
  • Khaled S'hell
    Cursus: Engineering degree in Computer Science (École nationale d'ingénieurs de Tunis (ENIT))
    Subject: Analyse de l’impact du contenu d’une vidéo sur le ressenti visuel
    Supervisors: N. Vincent, C. Kurtz
    Period: 2015, 5 months
  • Héloïse Alhéritière
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Extraction de la structure d'un document digitalisé
    Supervisors: N. Vincent, F. Cloppet, C. Kurtz
    Period: 2015, 4 months
  • Alexandre Florentin
    Cursus: Master Informatique ILC (University of Strasbourg, France)
    Subject: Hierarchical extraction of urban patterns from remote sensing Images. Software development (Mustic - Orféo Tool Box)
    Supervisors: C. Kurtz, P. Gançarski
    Period: 2014-2015, 1 year
  • Paul-André Idoux
    Cursus: Engineering degree in Computer Science (EPITA Graduate School of Computer Science, Paris, France)
    Subject: Large-scale content-based image retrieval in medical imaging
    Supervisors: C. Kurtz, F. Cloppet
    Period: 2014, 6 months
  • Tianatahina Jimmy Francky Randrianasoa
    Cursus: Master Informatique (University of la Réunion, France)
    Subject: Approches hiérarchiques et gestion de l'incertitude pour l'analyse d'images de télédétection
    Supervisors: N. Passat, E. Desjardin, C. Kurtz
    Period: 2014, 6 months
  • Michaël Clément
    Cursus: Master Informatique IP (University Paris Descartes, France)
    Subject: Reconnaissance d'objets en couleur à partir d'histogrammes de force
    Supervisors: C. Kurtz, L. Wendling
    Period: 2014, 6 months
  • Marius-Valentin Grigore
    Cursus: Master Informatique ILC (University of Strasbourg, France)
    Subject: Software development (Mustic - Orféo Tool Box). Utilisation du Wrapping Java
    Supervisors: C. Kurtz, F. Petitjean, P. Gançarski
    Period: 2011-2012, 1 year

Licence (B.Sc.) - Training courses

  • Dana Yeo
    Cursus: Bachelor Degree in Computer Sciences (Stanford University, USA)
    Subject: Content-based image retrieval in medical imaging. Integration of semantic retrieval in the Java web-based BIMM platform
    Supervisors: C. Kurtz, D. L. Rubin
    Period: 2012-2013, 4 months
  • Marius-Valentin Grigore
    Cursus : Licence Professionnelle Informatique (University of Strasbourg, France)
    Subject : Intégration de la librairie Orféo Tool Box (Analyse d'images satellitaires) dans le logiciel Mustic. Utilisation du Wrapping Java
    Supervisors : C. Kurtz, F. Petitjean, P. Gançarski
    Period : 2009-2010, 8 months

Teaching

Administrative responsability

  • [Since 2022] Co-responsible (with L. Wendling) of the Parcours Vision et Machine Intelligente of Master Informatique at the UFR de Mathématique et d'Informatique, track FI - formation initiale
    This course trains professionals to master the processes of indexing and automated processing of the meaning of digital content. Another objective is to provide students with strong imaging skills with in-depth knowledge of theoretical and practical mechanisms. The training can be followed as initial training or as an apprenticeship with the CFA (responsibles: Nicolas Loménie and Sylvain Lobry).
  • [2014-2018] Responsible of the BSc (Hons) / DEST European Computing
    This course offers both a UK honours degree (BSc) in Computer Sciences from University of Brighton (UK) and an equivalent French qualification (DEST) in Informatique from IUT Paris Descartes (France). This is a fantastic opportunity to develop a diverse understanding of the world of European business and of the computing industry.

UoB           UPD

Teaching activity

[Since 2023] Université Paris Cité (France) @ UFR de Mathématique et d'Informatique

  • Bachelor Computer Sciences
    • Software engineering (with Sylvain Lobry)
  • Master Computer Sciences, track Vision et Machine Intelligente
    • Image analysis levels I and II
    • Pattern recognition (with Laurent Wendling)
    • Decision Support and deep learning (with Sylvain Lobry)
  • Master BioMedical Engineering (BME-Paris), major BioImaging
    • Computer programming (with Florence Cloppet)
    • Medical image analysis level II (ponctual sessions)

[2013-2023] Université Paris Cité (France) @ Institute of Technology (IUT)

  • BUT 1 Computer Sciences
    • Introduction to algorithms and programming
    • Data structures and fundamental algorithms
    • Object programming
  • BUT 2 Computer Sciences
    • Advanced algorithms (module responsible)
    • Introduction to digital image processing (module responsible)
    • Web programming - Server side (past)
    • Web programming - Rich client (past)

[2009-2012] University of Strasbourg (France) @ UFR de Mathématique et d'Informatique

  • Licence 1 Physics
    • Environnements Informatiques
  • Licence 2 Computer Sciences
    • Graphes et recherches opérationnelles
    • Architecture des ordinateurs
    • Bases de données 1
  • Licence 3 Computer Sciences
    • Systèmes distribués

My avatar

"Me" by the students : avatar designed by the DUT 2 Computer Sciences students (© 2018 PJS4 IUT Wars)

Academic service

  • [2020-2024] Member of the Commission Scientifique (CSS) MISTI (mathématiques, informatique, STIC, IA), INRAE (France)
  • [2015-2019] Nominated member of the CNU - B (Conseil National des Universités), Section 27 (France)

GitHub codes related to publications

Conferences and workshops program committees

  • International: ICASSP 2023, ICIP 2022, ICPR 2022, DAS 2022, IJCAI 2021, DGMM 2021, CBMS 2022, VISAPP 2021-2023, ICMV 2021, ICPRAI 2022, JURSE 2019-2023, MACLEAN 2022-2023, etc.
  • National: CNIA, EGC, ORASIS, CFPT, etc.

Journal referee

General journals

Bio/medical image analysis journals

Remote sensing image analysis journals