Camille Kurtz

About me

♞ Check out my academic ancestors (Mathematics Genealogy Project)

LIPADE           SIP           UP

Keywords

Image analysis Data sciences Pattern recognition Computer vision Image retrieval
Multimodal Semantic Mathematical morphology Remote sensing Medical Imaging Documents

Contact

@ E-mail
 camille.kurtz_at_u-paris_dot_fr

☏ Phone
 +33 (0)1.76.53.03.07


✉ Lab address
 LIPADE - EA2517, Groupe SIP
 UFR Mathématiques et Informatique (Office 814-H)
 Univ. Paris Cité
 45 rue des Saints Pères
 75270 Paris Cedex 06 (France)

✉ Teaching address
 IUT de Paris
 Dpt Informatique (Office B-2-7)
 143 Avenue de Versailles
 75016 Paris (France)

Research

Projects

I am involved (and I have been involved) in different research projects related to image analysis, pattern recognition and data sciences.

On going projects

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 : Member

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.

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.

Past projects

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

Link to a ranked list of Computer Science conferences.

My page on scopus and my page on DBLP:

scopus      DBLP


A. Research Articles in International Journals

[1] 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.}
}

B. Research Articles in National Journals

C. Research Articles in International Conference or Workshops Proceedings

[1] 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.}
}
[2] 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.}
}
[3] 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.}
}
[4] 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.}
}
[5] 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.}
}

D. Research Articles in Chapters or Books

E. Abstracts in International Conference or Workshops Proceedings

F. Research Articles in National Conference or Workshops Proceedings

[1] 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.}
}
[2] 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.}
}

G. PhD Thesis

Journal referee

General journals

Biomedical image analysis journals

Remote sensing image analysis journals

Communications

A. Invited Talks

[1] Kurtz, C. & Vincent, N. (2020)
Optimal Choices of Features in Image Analysis,
In Keynote talk at the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2020, Not published in proceedings.
online (China).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_ICPRAI_2020,
   title={Optimal Choices of Features in Image Analysis},
   year={2020},
   booktitle={Keynote talk at the International Conference on Pattern Recognition and Artificial Intelligence -- ICPRAI 2020},
   month={October},
   address={online (China)},
   publisher={Not published in proceedings},
   author={Kurtz, C. and Vincent, N.}
}
[2] Kurtz, C. (2015)
Semantic features for the automated retrieval of radiological images in medical databases,
In Invited talk at the workshop on Multimodal Retrieval in the Medical Domain (MRMD 2015) -- ECIR 2015, Not published in proceedings.
Vienna (Austria).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_MRMD_2015,
   title={Semantic features for the automated retrieval of radiological images in medical databases},
   year={2015},
   booktitle={Invited talk at the workshop on Multimodal Retrieval in the Medical Domain (MRMD 2015) -- ECIR 2015},
   month={March},
   address={Vienna (Austria)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[3] Kurtz, C. (2015)
Utilisation de descripteurs visuels et de relations ontologiques pour la comparaison d’images médicales décrites par des annotations sémantiques,
In Invited talk at the Journée du pôle Math-Stic@Paris 13, Big Data - Vision globale, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_BD_2015,
   title={Utilisation de descripteurs visuels et de relations ontologiques pour la comparaison d’images médicales décrites par des annotations sémantiques},
   year={2015},
   booktitle={Invited talk at the Journée du pôle Math-Stic@Paris 13, Big Data - Vision globale},
   month={March},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}

B. Oral Communications to Scientific Meetings

[1] Randrianasoa, T., Kurtz, C., Desjardin, E. & Passat, N. (2015)
Segmentation multi-image : approche collaborative basée sur les arbres binaires de partitions,
In 38ème journée ISS France, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{randrianasoa_ISSS_2015,
   title={Segmentation multi-image : approche collaborative basée sur les arbres binaires de partitions},
   year={2015},
   booktitle={38ème journée ISS France},
   month={January},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Randrianasoa, T. and Kurtz, C. and Desjardin, E. and Passat, N.}
}
[2] Kurtz, C. (2014)
Semantic features for the retrieval and the classification of radiological images,
In Journée GDR ISIS/STIC-Santé, Extraction de caractéristiques pour l'analyse d'images médicales, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_ISIS_2014,
   title={Semantic features for the retrieval and the classification of radiological 	images},
   year={2014},
   booktitle={Journée GDR ISIS/STIC-Santé, Extraction de caractéristiques pour 	l'analyse d'images médicales},
   month={January},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[3] Kurtz, C. (2012)
Interactive extraction of urban patterns from multisource images,
In Pléiades days at CNES workshop, Not published in proceedings.
Toulouse (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_CNES_2012,
   title={Interactive extraction of urban patterns from multisource images},
   year={2012},
   booktitle={Pléiades days at CNES workshop},
   month={March},
   address={Toulouse (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[4] Kurtz, C. (2012)
Une distance hiérarchique basée sur la sémantique pour la comparaison d'histogrammes nominaux,
In Journée du GDR I3, GT Fouille de Données, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_GDRI3_2012,
   title={Une distance hiérarchique basée sur la sémantique pour la comparaison 	d'histogrammes nominaux},
   year={2012},
   booktitle={Journée du GDR I3, GT Fouille de Données},
   month={June},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[5] Kurtz, C. (2011)
Extraction de connaissances hiérarchisées à partir d'images multirésolutions : application à la télédétection,
In Journée GT-EGC Fouille de Données Complexes et de Grands Graphes, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_FDCGG_2011,
   title={Extraction de connaissances hiérarchisées à partir d'images multirésolutions 	: application à la télédétection},
   year={2011},
   booktitle={Journée GT-EGC Fouille de Données Complexes et de Grands Graphes},
   month={June},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[6] Kurtz, C. (2011)
Extraction de formes urbaines à partir d'images satellites multirésolutions,
In Colloque Images et Villes -- Paris Diderot, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_CIV_2011,
   title={Extraction de formes urbaines à partir d'images satellites multirésolutions},
   year={2011},
   booktitle={Colloque Images et Villes -- Paris Diderot},
   month={September},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[7] Kurtz, C. (2010)
Multiresolution region-based clustering for urban analysis,
In Journées thématiques CNES-ORFEO, groupe GT3 cartographie, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_CNES_2011,
   title={Multiresolution region-based clustering for urban analysis},
   year={2010},
   booktitle={Journées thématiques CNES-ORFEO, groupe GT3 cartographie},
   month={December},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[8] Kurtz, C. (2009)
Analyse multiresolution d'images satellitaires : application à la classification de blocs urbains,
In Journées GDR I3/SIGMA-CASSINI Informations Géographiques et Observation de la Terre, Not published in proceedings.
Toulouse (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_SIGMA_2009,
   title={Analyse multiresolution d'images satellitaires : application à la 	classification de blocs urbains},
   year={2009},
   booktitle={Journées GDR I3/SIGMA-CASSINI Informations Géographiques et Observation 	de la Terre},
   month={January},
   address={Toulouse (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}

C. Seminars

[1] Kurtz, C. (2018)
Hierarchical image representations : construction, evaluation and examples of use for image analysis,
In Seminar at EPITA, laboratory LRDE, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_Paris_2018,
   title={Hierarchical image representations : construction, evaluation and examples of use for image analysis},
   year={2018},
   booktitle={Seminar at EPITA, laboratory LRDE},
   month={June},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[2] Kurtz, C. (2017)
Content-based medical image retrieval in radiological databases,
In Seminar at HEGP, laboratory of Radiology, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_Paris_2017,
   title={Content-based medical image retrieval in radiological databases},
   year={2017},
   booktitle={Seminar at HEGP, laboratory of Radiology},
   month={June},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[3] Kurtz, C. (2017)
Semantic image indexation and retrieval in medical databases for clinical decision support​,
In Seminar at Health Tech Lunch, Institut Informatique de gestion, HES-SO, Not published in proceedings.
Sierre (Switzerland).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_HES_2017,
   title={Semantic image indexation and retrieval in medical databases for clinical decision support​},
   year={2017},
   booktitle={Seminar at Health Tech Lunch, Institut Informatique de gestion, HES-SO},
   month={May},
   address={Sierre (Switzerland)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[4] Kurtz, C. (2015)
Approches multi-hiérarchiques pour l'analyse d'images de télédétection,
In Seminar at MATIS laboratory, IGN, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_IGN_2015,
   title={Approches multi-hiérarchiques pour l'analyse d'images de télédétection},
   year={2015},
   booktitle={Seminar at MATIS laboratory, IGN},
   month={April},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[5] Kurtz, C. (2015)
Semantic features for the automated retrieval of radiological images in medical databases,
In Seminar at IBIIS group, School of Medicine, Stanford University, Not published in proceedings.
Palo Alto (USA).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_STAN_2015,
   title={Semantic features for the automated retrieval of radiological images in medical databases},
   year={2015},
   booktitle={Seminar at IBIIS group, School of Medicine, Stanford University},
   month={July},
   address={Palo Alto (USA)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[6] Kurtz, C. (2014)
Recherche d'images des bases de données avec intégration de connaissances sémantiques : applications en Radiologie,
In Seminar at CReSTIC laboratory, Université Reims Champagne Ardenne, Not published in proceedings.
Reims (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_CRESTIC_2014,
   title={Recherche d'images des bases de données avec intégration de connaissances sémantiques : applications en Radiologie},
   year={2014},
   booktitle={Seminar at CReSTIC laboratory, Université Reims Champagne Ardenne},
   month={June},
   address={Reims (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[7] Kurtz, C. (2013)
Analyse et traitement automatique de médias visuels multisources : intégration de connaissances dans des approches basées régions,
In Seminar at LIPADE laboratory EA 2517, Université Paris Descartes, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_SIPLIPADE_2013,
   title={Analyse et traitement automatique de médias visuels multisources 	: intégration de connaissances dans des approches basées régions},
   year={2013},
   booktitle={Seminar at LIPADE laboratory EA 2517, Université Paris Descartes},
   month={March},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[8] Kurtz, C. (2013)
Integration of semantic features for the retrieval of CT images of the liver: Methodology and preliminary results,
In Seminar at QIL group, School of Medicine, Stanford University, Not published in proceedings.
Palo Alto (USA).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_STAN_2013,
   title={Integration of semantic features for the retrieval of CT images 	of the liver: Methodology and preliminary results},
   year={2013},
   booktitle={Seminar at QIL group, School of Medicine, Stanford University},
   month={July},
   address={Palo Alto (USA)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[9] Kurtz, C. (2013)
Semantic features for the retrieval and the classification of radiological images,
In Seminar at SIP meeting, LIPADE laboratory EA 2517, Université Paris Descartes, Not published in proceedings.
Paris (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_SIP_2013,
   title={Semantic features for the retrieval and the classification of radiological 	images},
   year={2013},
   booktitle={Seminar at SIP meeting, LIPADE laboratory EA 2517, Université Paris 	Descartes},
   month={December},
   address={Paris (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[10] Kurtz, C. (2012)
Approche collaborative segmentation-classification pour l'analyse descendante d'images multirésolutions,
In Seminar at IRISA laboratory UMR CNRS 6074, Not published in proceedings.
Vannes (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_IRISA_2012,
   title={Approche collaborative segmentation-classification pour l'analyse 	descendante d'images multirésolutions},
   year={2012},
   booktitle={Seminar at IRISA laboratory UMR CNRS 6074},
   month={September},
   address={Vannes (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[11] Kurtz, C. (2012)
Approche collaborative segmentation-classification pour l'analyse descendante d'images multirésolutions,
In Seminar at Gipsa-Lab laboratory UMR CNRS 5216, Not published in proceedings.
Grenoble (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_GIPSA_2012,
   title={Approche collaborative segmentation-classification pour l'analyse 	descendante d'images multirésolutions},
   year={2012},
   booktitle={Seminar at Gipsa-Lab laboratory UMR CNRS 5216},
   month={September},
   address={Grenoble (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[12] Kurtz, C. (2012)
Mining complex multiresolution remote sensing images,
In Seminar at Hubert Curien laboratory UMR CNRS 5516, Not published in proceedings.
Saint-Etienne (France).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_LAHC_2012,
   title={Mining complex multiresolution remote sensing images},
   year={2012},
   booktitle={Seminar at Hubert Curien laboratory UMR CNRS 5516},
   month={June},
   address={Saint-Etienne (France)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}
[13] Kurtz, C. (2011)
Extraction of complex urban patterns from multiresolution remote sensing images,
In Seminar at the European Commission, Joint Research Centre (JRC), Institute for the Protection and Security of the Citizen (IPSC), Not published in proceedings.
Ispra (Italia).
[BibTeX BibTeX]
BibTeX : 
@inproceedings{kurtz_JRC_2011,
   title={Extraction of complex urban patterns from multiresolution remote 	sensing images},
   year={2011},
   booktitle={Seminar at the European Commission, Joint Research Centre (JRC), 	Institute for the Protection and Security of the Citizen (IPSC)},
   month={December},
   address={Ispra (Italia)},
   publisher={Not published in proceedings},
   author={Kurtz, C.}
}

Teaching

My avatar

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

A. Teaching activity

[Since 2013] Université Paris Cité (France)

@ Institute of Technology (IUT)

  • DUT 1 Computer Sciences
    • M1102 : Introduction to algorithms and programming
    • M1103 : Data structures and fundamental algorithms
  • DUT 2 Computer Sciences
    • M3103 : Advanced algorithms (module responsible)
    • M3104 : Web programming - Server side
    • M4103C : Web programming - Rich client
    • M4105C : Introduction to digital image processing (module responsible)

@ UFR de Mathématique et d'Informatique

  • Master 2 Computer Sciences, major Image and Plurimedia
    • MMF3E31 : Pattern recognition (with Laurent Wendling)
  • Master 1 BioMedical Engineering (BME-Paris)
    • UE 1.10 : Computer programming (with Florence Cloppet)
  • Master 2 BioMedical Engineering (BME-Paris), major BioImaging
    • UE 3.10b : Medical image analysis level II

[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


B. Administrative responsability

  • [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

Students supervision

Sudents sleeping

I have (had) the pleasure of working with the following people:

Ph.D. students - Doctoral programme

  • 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 in progress ⌛)
    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
  • Robin Deléarde (thesis in progress ⌛)
    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
  • 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 internship

  • 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
  • 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
  • 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
  • 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

Engineering degree - Research internship

  • 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
  • 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
  • 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

Licence (B.Sc.) - Training course

  • 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