Camille KURTZ
Camille KURTZ
Professor of Computer Sciences, Université Paris Cité
Verified email at - Homepage
Cited by
Cited by
Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology
C Kurtz, N Passat, P Gancarski, A Puissant
Pattern Recognition 45 (2), 685-706, 2012
Spatio-temporal reasoning for the classification of satellite image time series
F Petitjean, C Kurtz, N Passat, P Gançarski
Pattern Recognition Letters 33 (13), 1805-1815, 2012
Hierarchical extraction of landslides from multiresolution remotely sensed optical images
C Kurtz, A Stumpf, JP Malet, P Gançarski, A Puissant, N Passat
ISPRS Journal of Photogrammetry and Remote Sensing 87, 122-136, 2014
Tree leaves extraction in natural images: Comparative study of preprocessing tools and segmentation methods
M Grand-Brochier, A Vacavant, G Cerutti, C Kurtz, J Weber, L Tougne
IEEE Transactions on Image Processing 24 (5), 1549-1560, 2015
On combining image-based and ontological semantic dissimilarities for medical image retrieval applications
C Kurtz, A Depeursinge, S Napel, CF Beaulieu, DL Rubin
Medical image analysis 18 (7), 1082-1100, 2014
Automated tracking of quantitative assessments of tumor burden in clinical trials
DL Rubin, D Willrett, MJ O'Connor, C Hage, C Kurtz, DA Moreira
Translational oncology 7 (1), 23-35, 2014
Predicting visual semantic descriptive terms from radiological image data: preliminary results with liver lesions in CT
A Depeursinge, C Kurtz, C Beaulieu, S Napel, D Rubin
IEEE transactions on medical imaging 33 (8), 1669-1676, 2014
A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations
C Kurtz, CF Beaulieu, S Napel, DL Rubin
Journal of biomedical informatics 49, 227-244, 2014
Learning spatial relations and shapes for structural object description and scene recognition
M Clément, C Kurtz, L Wendling
Pattern Recognition 84, 197-210, 2018
Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs
I Banerjee, C Kurtz, AE Devorah, B Do, DL Rubin, CF Beaulieu
Journal of biomedical informatics 84, 123-135, 2018
Connected filtering based on multivalued component-trees
C Kurtz, B Naegel, N Passat
IEEE Transactions on Image Processing 23 (12), 5152-5164, 2014
Multi-resolution region-based clustering for urban analysis
C Kurtz, N Passat, P Gançarski, A Puissant
International Journal of Remote Sensing 31 (22), 5941-5973, 2010
Directional enlacement histograms for the description of complex spatial configurations between objects
M Clément, A Poulenard, C Kurtz, L Wendling
IEEE transactions on pattern analysis and machine intelligence 39 (12), 2366 …, 2016
Binary partition tree construction from multiple features for image segmentation
JF Randrianasoa, C Kurtz, E Desjardin, N Passat
Pattern Recognition 84, 237-250, 2018
A hierarchical semantic-based distance for nominal histogram comparison
C Kurtz, P Gançarski, N Passat, A Puissant
Data & Knowledge Engineering 87, 206-225, 2013
A document straight line based segmentation for complex layout extraction
H Alhéritière, F Cloppet, C Kurtz, JM Ogier, N Vincent
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
Component-graph construction
N Passat, B Naegel, C Kurtz
Journal of Mathematical Imaging and Vision 61, 798-823, 2019
Supervised quality evaluation of binary partition trees for object segmentation
JF Randrianasoa, P Cettour-Janet, C Kurtz, E Desjardin, P Gançarski, ...
Pattern Recognition 111, 107667, 2021
Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation
JF Randrianasoa, C Kurtz, P Gançarski, E Desjardin, N Passat
2017 IEEE International Conference on Image Processing (ICIP), 3874-3878, 2017
Bags of spatial relations and shapes features for structural object description
M Clément, C Kurtz, L Wendling
2016 23rd International Conference on Pattern Recognition (ICPR), 1994-1999, 2016
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