Pierre-Henri Conze

123 papers A 1B 4C 1Misc 2Journal 75Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated multimodal severity assessment of diabetic retinopathy using ultra-widefield color fundus photography and clinical tabular data. Biomed. Signal Process. Control. Alireza Rezaei, Sarah Matta, Rachid Zeghlache, Pierre-Henri Conze, Capucine Lepicard, Pierre Deman, Laurent Borderie, Deborah Cosette, Sophie Bonnin, Aude Couturier, Béatrice Cochener, Mathieu Lamard, Mostafa El Habib Daho, Gwenolé Quellec
2026	J	`jnl`	JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge. IEEE Trans. Medical Imaging Yeganeh Madadi, Hina Raja, Koenraad A. Vermeer, Hans G. Lemij, Xiaoqin Huang, Eunjin Kim, Seunghoon Lee, Gitaek Kwon, Hyunwoo Kim, Jaeyoung Kim, Adrian Galdran, Miguel Ángel González Ballester, Dan Presil, Kristhian Aguilar, Victor Cavalcante, Celso B. Carvalho, Waldir Sabino da Silva Júnior, Mateus Oliveira, Hui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos, Tomasz Kubrak, Ángela Casado-García, Jónathan Heras, Marcos Ortega, Lucía Ramos, Philippe Zhang, Yihao Li, Jing Zhang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho, Madukuri Shaurya, Anumeha Varma, Monika Agrawal, Siamak Yousefi
2026	J	`jnl`	Leveraging distillation in transductive learning for improved medical image segmentation. Biomed. Signal Process. Control. Hicham Messaoudi, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze
2025	—	`conf`	Advancing Treatment Response Assessment of Hepatic Metastases Using AI-Driven Volumetric Analysis. ISBI Marwan Abbas, Gustavo Andrade-Miranda, Vincent Bourbonne, Vincent Jaouen, J. Bert, T. Aparicio, Dimitris Visvikis, Bogdan Badic, Pierre-Henri Conze
2025	J	`jnl`	Automatic future remnant segmentation in liver resection planning. Int. J. Comput. Assist. Radiol. Surg. Hicham Messaoudi, Marwan Abbas, Bogdan Badic, Douraied Ben Salem, Ahror Belaid, Pierre-Henri Conze
2025	J	`jnl`	Cross-Modal Tumor Segmentation Using Generative Blending Augmentation and Self-Training. IEEE Trans. Biomed. Eng. Guillaume Sallé, Gustavo Andrade-Miranda, Pierre-Henri Conze, Nicolas Boussion, Julien Bert, Dimitris Visvikis, Vincent Jaouen
2025	J	`jnl`	Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. CoRR Rachid Zeghlache, Ikram Brahim, Pierre-Henri Conze, Mathieu Lamard, Mohammed El Amine Lazouni, Elaouaber Zineb Aziza, Leila Ryma Lazouni, Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert, Lovre Antonio Budimir, Ivana Zadro Matovinovic, Donik Vrsnak, Sven Loncaric, Philippe Zhang, Weili Jiang, Yihao Li, Yiding Hao, Markus Frohmann, Patrick Binder, Marcel Huber, Taha Emre, Teresa Araújo, Marzieh Oghbaie, Hrvoje Bogunovic, Amerens A. Bekkers, Nina M. van Liebergen, Hugo J. Kuijf, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Alberto J. Beltrán-Carrero, Juan J. Gómez-Valverde, Javier Torresano-Rodríguez, Álvaro Caballero-Sastre, María J. Ledesma-Carbayo, Yosuke Yamagishi, Yi Ding, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Jessica Kächele, Sofiane Zehar, Karim Boukli Hacene, Thomas Monfort, Béatrice Cochener, Mostafa El Habib Daho, Anas-Alexis Benyoussef, Gwenolé Quellec
2025	J	`jnl`	Exploring learning transferability in deep segmentation of colorectal cancer liver metastases. Comput. Biol. Medicine Marwan Abbas, Bogdan Badic, Gustavo Andrade-Miranda, Vincent Bourbonne, Vincent Jaouen, Dimitris Visvikis, Pierre-Henri Conze
2025	J	`jnl`	Guidelines for cerebrovascular segmentation: Managing imperfect annotations in the context of semi-supervised learning. Comput. Medical Imaging Graph. Pierre Rougé, Pierre-Henri Conze, Nicolas Passat, Odyssée Merveille
2025	—	`conf`	Instance-Aware Deep Learning for Liver Metastasis Segmentation. ISBI Marwan Abbas, Gustavo Andrade-Miranda, Vincent Jaouen, Vincent Bourbonne, J. Bert, Dimitris Visvikis, Bogdan Badic, Pierre-Henri Conze
2025	J	`jnl`	L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction. Comput. Biol. Medicine Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Alireza Rezaei, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
2025	J	`jnl`	LabelProp: A semi-automatic segmentation tool for 3D medical images. J. Open Source Softw. Nathan Decaux, Pierre-Henri Conze, Juliette Ropars, Xinyan He, Frances T. Sheehan, Christelle Pons, Douraied Ben Salem, Sylvain Brochard, François Rousseau
2025	J	`jnl`	Trustworthy AI for stage IV non-small cell lung cancer: Automatic segmentation and uncertainty quantification. Comput. Medical Imaging Graph. Sacha Dedeken, Pierre-Henri Conze, Vera Damerjian Pieters, Olivier Gallinato, Jérôme Faure, Thierry Colin, Dimitris Visvikis
2025	—	`conf`	Veela Challenge - Vessel Extraction and Extrication for Liver Analysis. MLSP Tugçe Toprak, Ziya Ata Yazici, Ilkay Öksüz, Ilker Ozgur Koska, Pervin Bulucu, Naciye Sinem Gezer, Ufuk Besenk, A. Emre Kavur, Pierre-Henri Conze, Hazim Kemal Ekenel, Oguz Dicle, M. Alper Selver
2024	J	`jnl`	A review of deep learning-based information fusion techniques for multimodal medical image classification. Comput. Biol. Medicine Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec
2024	J	`jnl`	A review of deep learning-based information fusion techniques for multimodal medical image classification. CoRR Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec
2024	J	`jnl`	Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. CoRR Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
2024	J	`jnl`	Complex Residual Attention U-Net for Fast Ultrasound Imaging from a Single Plane-Wave Equivalent to Diverging Wave Imaging. Sensors Ahmed Bentaleb, Christophe Sintes, Pierre-Henri Conze, François Rousseau, Aziliz Guezou-Philippe, Chafiaa Hamitouche
2024	J	`jnl`	Contrastive image adaptation for acquisition shift reduction in medical imaging. Artif. Intell. Medicine Clément Hognon, Pierre-Henri Conze, Vincent Bourbonne, Olivier Gallinato, Thierry Colin, Vincent Jaouen, Dimitris Visvikis
2024	—	`book`	Contributions to medical image segmentation with artificial intelligence for decision support. (Contributions à la segmentation d'images médicales par intelligence artificielle pour l'aide à la décision). Pierre-Henri Conze
2024	J	`jnl`	DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis. CoRR Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Hugo Le Boité, Pierre Deman, Laurent Borderie, Hugang Ren, Niranchana Manivannan, Capucine Lepicard, Béatrice Cochener, Aude Couturier, Ramin Tadayoni, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec
2024	J	`jnl`	DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis. Artif. Intell. Medicine Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Hugo Le Boité, Pierre Deman, Laurent Borderie, Hugang Ren, Niranchana Manivannan, Capucine Lepicard, Béatrice Cochener, Aude Couturier, Ramin Tadayoni, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec
2024	J	`jnl`	Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging. CoRR Philippe Zhang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
2024	—	`conf`	Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-widefield Fundus Imaging. UWF4DR@MICCAI Philippe Zhang, Pierre-Henri Conze, Mathieu Lamard, Béatrice Cochener, Gwenolé Quellec, Mostafa El Habib Daho
2024	—	`conf`	Deep Vessel Segmentation with Joint Multi-Prior Encoding. ISBI Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2024	J	`jnl`	Deep vessel segmentation with joint multi-prior encoding. CoRR Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2024	—	`conf`	Detection and Classification of Glaucoma in the Justraigs Challenge: Achievements in Binary and Multilabel Classification. ISBI Philippe Zhang, Yihao Li, Jing Zhang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
2024	J	`jnl`	Dual-task kidney MR segmentation with transformers in autosomal-dominant polycystic kidney disease. Comput. Medical Imaging Graph. Pierre-Henri Conze, Gustavo Andrade-Miranda, Yannick Le Meur, Emilie Cornec-Le Gall, François Rousseau
2024	J	`jnl`	Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning. CoRR Pierre Rougé, Pierre-Henri Conze, Nicolas Passat, Odyssée Merveille
2024	J	`jnl`	Improving abdominal image segmentation with overcomplete shape priors. Comput. Medical Imaging Graph. Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2024	J	`jnl`	L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction. CoRR Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Alireza Rezaei, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
2024	—	`conf`	LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. MICCAI (5) Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Alireza Rezaei, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
2024	J	`jnl`	LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression. CoRR Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Alireza Rezaei, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
2024	—	`conf`	Learning Transferability in Deep Segmentation of Liver Metastases. ISBI Marwan Abbas, Gustavo Andrade-Miranda, Vincent Bourbonne, Dimitris Visvikis, Bogdan Badic, Pierre-Henri Conze
2024	—	`conf`	Multi-Modal PET/CT Fusion for Automated PD-L1 Status Prediction in Lung Cancer. ISBI Ronrick Da-Ano, Olena Tankyevych, Gustavo Andrade-Miranda, Pierre-Henri Conze, Catherine Cheze Le Rest, Dimitris Visvikis
2024	—	`conf`	One-Sided Unsupervised Medical Image Synthesis with Normalized Edge Consistency. ISBI Vincent Jaouen, Pierre-Henri Conze, Dimitris Visvikis
2024	J	`jnl`	Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation. CoRR Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2024	J	`jnl`	Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentation. CoRR Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri Conze
2023	—	`conf`	Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. MMAC@MICCAI Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
2023	J	`jnl`	Cross-dimensional transfer learning in medical image segmentation with deep learning. CoRR Hicham Messaoudi, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze
2023	J	`jnl`	Cross-dimensional transfer learning in medical image segmentation with deep learning. Medical Image Anal. Hicham Messaoudi, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze
2023	J	`jnl`	Cross-modal tumor segmentation using generative blending augmentation and self training. CoRR Guillaume Sallé, Pierre-Henri Conze, Julien Bert, Nicolas Boussion, Dimitris Visvikis, Vincent Jaouen
2023	—	`conf`	Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. OMIA@MICCAI Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Yapo Cedric Atse, Hugo Le Boité, Sophie Bonnin, Deborah Cosette, Pierre Deman, Laurent Borderie, Capucine Lepicard, Ramin Tadayoni, Béatrice Cochener, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec
2023	J	`jnl`	Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. CoRR Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, Yapo Cedric Atse, Hugo Le Boité, Sophie Bonnin, Deborah Cosette, Pierre Deman, Laurent Borderie, Capucine Lepicard, Ramin Tadayoni, Béatrice Cochener, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec
2023	—	`conf`	LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. MLMI@MICCAI (2) Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
2023	J	`jnl`	LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. CoRR Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
2023	—	`conf`	Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. PRIME@MICCAI Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
2023	J	`jnl`	Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. CoRR Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard
2023	J	`jnl`	Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology. Comput. Medical Imaging Graph. Gustavo Andrade-Miranda, Vincent Jaouen, Olena Tankyevych, Catherine Cheze Le Rest, Dimitris Visvikis, Pierre-Henri Conze
2023	—	`conf`	Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation. ISBI Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze
2023	J	`jnl`	Semi-automatic muscle segmentation in MR images using deep registration-based label propagation. Pattern Recognit. Nathan Decaux, Pierre-Henri Conze, Juliette Ropars, Xinyan He, Frances T. Sheehan, Christelle Pons, Douraied Ben Salem, Sylvain Brochard, François Rousseau
2022	J	`jnl`	A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation. J. Digit. Imaging Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub
2022	—	`conf`	Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases. MICCAI (3) Mohammad Mohaiminul Islam, Bogdan Badic, Thomas Aparicio, David Tougeron, Jean-Pierre Tasu, Dimitris Visvikis, Pierre-Henri Conze
2022	—	`conf`	Detection of Diabetic Retinopathy Using Longitudinal. OMIA@MICCAI Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Gwenolé Quellec, Mathieu Lamard
2022	J	`jnl`	Detection of diabetic retinopathy using longitudinal self-supervised learning. CoRR Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Gwenolé Quellec, Mathieu Lamard
2022	J	`jnl`	Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. Medical Image Anal. Jun Ma, Yao Zhang, Song Gu, Xingle An, Zhihe Wang, Cheng Ge, Congcong Wang, Fan Zhang, Yu Wang, Yinan Xu, Shuiping Gou, Franz Thaler, Christian Payer, Darko Stern, Edward G. A. Henderson, Dónal M. McSweeney, Andrew Green, Price Jackson, Lachlan McIntosh, Quoc-Cuong Nguyen, Abdul Qayyum, Pierre-Henri Conze, Ziyan Huang, Ziqi Zhou, Deng-Ping Fan, Huan Xiong, Guoqiang Dong, Qiongjie Zhu, Jian He, Xiaoping Yang
2022	J	`jnl`	Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors. CoRR Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar
2022	J	`jnl`	Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors. Medical Image Anal. Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar
2022	—	`conf`	Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading. OMIA@MICCAI Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Béatrice Cochener, Divi Cornec, Gwenolé Quellec
2022	J	`jnl`	Mapping the ocular surface from monocular videos with an application to dry eye disease grading. CoRR Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Béatrice Cochener, Divi Cornec, Gwenolé Quellec
2022	J	`jnl`	Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network. Artif. Intell. Medicine Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze
2022	J	`jnl`	Multimodal Information Fusion for Glaucoma and DR Classification. CoRR Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Hassan Al Hajj, Sophie Bonnin, Hugang Ren, Niranchana Manivannan, Stephanie Magazzeni, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec
2022	—	`conf`	Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification. OMIA@MICCAI Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Hassan Al Hajj, Sophie Bonnin, Hugang Ren, Niranchana Manivannan, Stephanie Magazzeni, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec
2022	B	`conf`	Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study. ICIP Gustavo Andrade-Miranda, Vincent Jaouen, Vincent Bourbonne, François Lucia, Dimitris Visvikis, Pierre-Henri Conze
2022	—	`conf`	Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. MIDOG/DRAC@MICCAI Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu, Yubo Tan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
2022	J	`jnl`	Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. CoRR Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu, Yubo Tan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
2022	B	`conf`	Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation. ICIP Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri Conze
2021	J	`jnl`	A new conditional region growing approach for microcalcification delineation in mammograms. Medical Biol. Eng. Comput. Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub
2021	J	`jnl`	Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. Artif. Intell. Medicine Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau
2021	J	`jnl`	CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver
2021	—	`conf`	Deep Active Learning for Dual-View Mammogram Analysis. MLMI@MICCAI Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Heng Zhang, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux
2021	J	`jnl`	ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis. Medical Image Anal. Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
2021	—	`conf`	Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. OMIA@MICCAI Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Pascale Massin, Mathieu Lamard, Gouenou Coatrieux, Béatrice Cochener
2021	—	`conf`	Multi-Structure Deep Segmentation With Shape Priors And Latent Adversarial Regularization. ISBI Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze
2021	J	`jnl`	Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization. CoRR Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze
2021	J	`jnl`	Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. CoRR Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar
2021	—	`conf`	Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. MICCAI (1) Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar
2021	J	`jnl`	Regularized directional representations for medical image registration. CoRR Vincent Jaouen, Pierre-Henri Conze, Guillaume Dardenne, Julien Bert, Dimitris Visvikis
2021	J	`jnl`	Towards improved breast mass detection using dual-view mammogram matching. Medical Image Anal. Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux
2021	—	`conf`	Two-Stage Multi-Scale Mass Segmentation From Full Mammograms. ISBI Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux
2020	C	`conf`	A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images. BIBE Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub
2020	J	`jnl`	Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. CoRR Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau
2020	J	`jnl`	Automatic detection of rare pathologies in fundus photographs using few-shot learning. Medical Image Anal. Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
2020	J	`jnl`	Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization. Medical Biol. Eng. Comput. Kamal Souadih, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze
2020	J	`jnl`	CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver
2020	—	`conf`	Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in Mr Images. ISBI Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze
2020	—	`conf`	Efficient Embedding Network for 3D Brain Tumor Segmentation. BrainLes@MICCAI (1) Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze
2020	J	`jnl`	Efficient embedding network for 3D brain tumor segmentation. CoRR Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze
2020	J	`jnl`	ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis. CoRR Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
2020	J	`jnl`	Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. Comput. Medical Imaging Graph. Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons
2020	J	`jnl`	Learning contextual superpixel similarity for consistent image segmentation. Multim. Tools Appl. Mahaman Sani Chaibou, Pierre-Henri Conze, Karim Kalti, Mohamed Ali Mahjoub, Basel Solaiman
2020	Misc	`conf`	Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices. ATSIP Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub
2020	J	`jnl`	Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network. CoRR Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze
2020	—	`conf`	Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching. MLMI@MICCAI Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux
2020	J	`jnl`	Two-stage breast mass detection and segmentation system towards automated high-resolution full mammogram analysis. CoRR Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux
2019	J	`jnl`	Automatic detection of multiple pathologies in fundus photographs using spin-off learning. CoRR Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
2019	J	`jnl`	CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. Medical Image Anal. Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Soumali Roychowdhury, Xiaowei Hu, Gabija Marsalkaite, Odysseas Zisimopoulos, Muneer Ahmad Dedmari, Fenqiang Zhao, Jonas Prellberg, Manish Sahu, Adrian Galdran, Teresa Araújo, Duc My Vo, Chandan Panda, Navdeep Dahiya, Satoshi Kondo, Zhengbing Bian, Gwenolé Quellec
2019	—	`conf`	Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms. EMBC Yutong Yan, Pierre-Henri Conze, Etienne Decencière, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux
2019	J	`jnl`	Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in MR images. CoRR Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze
2019	—	`conf`	Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability. ISBI Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Frances T. Sheehan, Sylvain Brochard
2019	J	`jnl`	Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. CoRR Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons
2019	J	`jnl`	Unsupervised learning-based long-term superpixel tracking. CoRR Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec
2019	J	`jnl`	Unsupervised learning-based long-term superpixel tracking. Image Vis. Comput. Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec
2018	J	`jnl`	Adaptive strategy for superpixel-based region-growing image segmentation. CoRR Mahaman Sani Chaibou, Pierre-Henri Conze, Karim Kalti, Basel Solaiman, Mohamed Ali Mahjoub
2018	Misc	`conf`	Long-term superpixel tracking using unsupervised learning and multi-step integration. ATSIP Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec
2018	J	`jnl`	Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks. Medical Image Anal. Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec
2018	—	`conf`	Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy data. ISBI A. Guerre, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec
2018	—	`conf`	Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenolé Quellec, Vincent Noblet, Fabrice Heitz
2017	J	`jnl`	Adaptive strategy for superpixel-based region-growing image segmentation. J. Electronic Imaging Mahaman Sani Chaibou, Pierre-Henri Conze, Karim Kalti, Basel Solaiman, Mohamed Ali Mahjoub
2017	—	`conf`	Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. ISBI Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux
2017	J	`jnl`	Monitoring tool usage in cataract surgery videos using boosted convolutional and recurrent neural networks. CoRR Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec
2017	J	`jnl`	Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. Int. J. Comput. Assist. Radiol. Surg. Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, Riccardo Memeo, Patrick Pessaux
2016	J	`jnl`	Multi-reference combinatorial strategy towards longer long-term dense motion estimation. Comput. Vis. Image Underst. Pierre-Henri Conze, Philippe Robert, Tomás Crivelli, Luce Morin
2016	—	`conf`	Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. ISBI Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux
2015	J	`jnl`	Robust Optical Flow Integration. IEEE Trans. Image Process. Tomás Crivelli, Matthieu Fradet, Pierre-Henri Conze, Philippe Robert, Patrick Pérez
2015	—	`conf`	Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. MLMI Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux
2014	—	`conf`	Dense Long-term Motion Estimation via Statistical Multi-step Flow. VISAPP (3) Pierre-Henri Conze, Philippe Robert, Tomás Crivelli, Luce Morin
2014	—	`—`	Long-term dense motion estimation and view synthesis quality assessment with application to joint stereo and motion processing. (Estimation de mouvement dense long-terme et évaluation de qualité de la synthèse de vues. Application à la coopération stéréo-mouvement). Pierre-Henri Conze
2013	B	`conf`	Dense motion estimation between distant frames: Combinatorial multi-step integration and statistical selection. ICIP Pierre-Henri Conze, Tomás Crivelli, Philippe Robert, Luce Morin
2012	—	`conf`	Disparity-compensated view synthesis for S3D content correction. SD&A Philippe Robert, Cédric Thébault, Pierre-Henri Conze
2012	B	`conf`	From optical flow to dense long term correspondences. ICIP Tomás Crivelli, Pierre-Henri Conze, Philippe Robert, Patrick Pérez
2012	A	`conf`	Multi-step flow fusion: towards accurate and dense correspondences in long video shots. BMVC Tomás Crivelli, Pierre-Henri Conze, Philippe Robert, Matthieu Fradet, Patrick Pérez
2012	—	`conf`	Objective view synthesis quality assessment. SD&A Pierre-Henri Conze, Philippe Robert, Luce Morin