Multi-step flow fusion: towards accurate and dense correspondences in long video shots. - Tomás Crivelli; Pierre-Henri Conze; Philippe Robert; Matthieu Fradet; Patrick Pérez (BMVC, 2012)

Objective view synthesis quality assessment. - Pierre-Henri Conze; Philippe Robert; Luce Morin (SD&A, 2012)

Disparity-compensated view synthesis for S3D content correction. - Philippe Robert; Cédric Thébault; Pierre-Henri Conze (SD&A, 2012)

From optical flow to dense long term correspondences. - Tomás Crivelli; Pierre-Henri Conze; Philippe Robert; Patrick Pérez (ICIP, 2012)

Dense motion estimation between distant frames: Combinatorial multi-step integration and statistical selection. - Pierre-Henri Conze; Tomás Crivelli; Philippe Robert; Luce Morin (ICIP, 2013)

Dense Long-term Motion Estimation via Statistical Multi-step Flow. - Pierre-Henri Conze; Philippe Robert; Tomás Crivelli; Luce Morin (VISAPP (3), 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 (2014)

Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. - Pierre-Henri Conze; François Rousseau 002; Vincent Noblet; Fabrice Heitz; Riccardo Memeo; Patrick Pessaux (MLMI, 2015)

Robust Optical Flow Integration. - Tomás Crivelli; Matthieu Fradet; Pierre-Henri Conze; Philippe Robert; Patrick Pérez (IEEE Trans. Image Process., 2015)

Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. - Pierre-Henri Conze; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Riccardo Memeo; Patrick Pessaux (ISBI, 2016)

Multi-reference combinatorial strategy towards longer long-term dense motion estimation. - Pierre-Henri Conze; Philippe Robert; Tomás Crivelli; Luce Morin (Comput. Vis. Image Underst., 2016)

Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. - Pierre-Henri Conze; Florian Tilquin; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Patrick Pessaux (ISBI, 2017)

Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. - Pierre-Henri Conze; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Vito de Blasi; Riccardo Memeo; Patrick Pessaux (Int. J. Comput. Assist. Radiol. Surg., 2017)

Monitoring tool usage in cataract surgery videos using boosted convolutional and recurrent neural networks. - Hassan Al Hajj; Mathieu Lamard; Pierre-Henri Conze; Béatrice Cochener; Gwenolé Quellec (CoRR, 2017)

Adaptive strategy for superpixel-based region-growing image segmentation. - Mahaman Sani Chaibou; Pierre-Henri Conze; Karim Kalti; Basel Solaiman; Mohamed Ali Mahjoub (J. Electronic Imaging, 2017)

Long-term superpixel tracking using unsupervised learning and multi-step integration. - Pierre-Henri Conze; Florian Tilquin; Mathieu Lamard; Fabrice Heitz; Gwenolé Quellec (ATSIP, 2018)

Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy data. - A. Guerre; Mathieu Lamard; Pierre-Henri Conze; Béatrice Cochener; Gwenolé Quellec (ISBI, 2018)

Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. - Florian Tilquin; Pierre-Henri Conze; Patrick Pessaux; Mathieu Lamard; Gwenolé Quellec; Vincent Noblet; Fabrice Heitz (Patch-MI@MICCAI, 2018)

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks. - Hassan Al Hajj; Mathieu Lamard; Pierre-Henri Conze; Béatrice Cochener; Gwenolé Quellec (Medical Image Anal., 2018)

Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms. - Yutong Yan; Pierre-Henri Conze; Etienne Decencière; Mathieu Lamard; Gwenolé Quellec; Béatrice Cochener; Gouenou Coatrieux (EMBC, 2019)

Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability. - Pierre-Henri Conze; Christelle Pons; Valérie Burdin; Frances T. Sheehan; Sylvain Brochard (ISBI, 2019)

Automatic detection of multiple pathologies in fundus photographs using spin-off learning. - Gwenolé Quellec; Mathieu Lamard; Pierre-Henri Conze; Pascale Massin; Béatrice Cochener (CoRR, 2019)

Unsupervised learning-based long-term superpixel tracking. - Pierre-Henri Conze; Florian Tilquin; Mathieu Lamard; Fabrice Heitz; Gwenolé Quellec (Image Vis. Comput., 2019)

CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. - Hassan Al Hajj; Mathieu Lamard; Pierre-Henri Conze; Soumali Roychowdhury; Xiaowei Hu 001; Gabija Marsalkaite; Odysseas Zisimopoulos; Muneer Ahmad Dedmari; Fenqiang Zhao; Jonas Prellberg; Manish Sahu; Adrian Galdran; et al. (Medical Image Anal., 2019)

Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices. - Asma Touil; Karim Kalti; Pierre-Henri Conze; Basel Solaiman; Mohamed Ali Mahjoub (ATSIP, 2020)

A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images. - Asma Touil; Karim Kalti; Pierre-Henri Conze; Basel Solaiman; Mohamed Ali Mahjoub (BIBE, 2020)

Efficient Embedding Network for 3D Brain Tumor Segmentation. - Hicham Messaoudi; Ahror Belaid; Mohamed Lamine Allaoui; Ahcene Zetout; Mohand Saïd Allili; Souhil Tliba; Douraied Ben Salem; Pierre-Henri Conze (BrainLes@MICCAI (1), 2020)

Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in Mr Images. - Arnaud Boutillon; Bhushan Borotikar; Valérie Burdin; Pierre-Henri Conze (ISBI, 2020)

Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching. - Yutong Yan; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Béatrice Cochener; Gouenou Coatrieux (MLMI@MICCAI, 2020)

Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. - Pierre-Henri Conze; Sylvain Brochard; Valérie Burdin; Frances T. Sheehan; Christelle Pons (Comput. Medical Imaging Graph., 2020)

Two-stage breast mass detection and segmentation system towards automated high-resolution full mammogram analysis. - Yutong Yan; Pierre-Henri Conze; Gwenolé Quellec; Mathieu Lamard; Béatrice Cochener; Gouenou Coatrieux (CoRR, 2020)

Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization. - Kamal Souadih; Ahror Belaid; Douraied Ben Salem; Pierre-Henri Conze (Medical Biol. Eng. Comput., 2020)

Automatic detection of rare pathologies in fundus photographs using few-shot learning. - Gwenolé Quellec; Mathieu Lamard; Pierre-Henri Conze; Pascale Massin; Béatrice Cochener (Medical Image Anal., 2020)

Learning contextual superpixel similarity for consistent image segmentation. - Mahaman Sani Chaibou; Pierre-Henri Conze; Karim Kalti; Mohamed Ali Mahjoub; Basel Solaiman (Multim. Tools Appl., 2020)

Multi-Structure Deep Segmentation With Shape Priors And Latent Adversarial Regularization. - Arnaud Boutillon; Bhushan Borotikar; Christelle Pons; Valérie Burdin; Pierre-Henri Conze (ISBI, 2021)

Two-Stage Multi-Scale Mass Segmentation From Full Mammograms. - Yutong Yan; Pierre-Henri Conze; Gwenolé Quellec; Mathieu Lamard; Béatrice Cochener; Gouenou Coatrieux (ISBI, 2021)

Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. - Arnaud Boutillon; Pierre-Henri Conze; Christelle Pons; Valérie Burdin; Bhushan Borotikar (MICCAI (1), 2021)

Deep Active Learning for Dual-View Mammogram Analysis. - Yutong Yan; Pierre-Henri Conze; Mathieu Lamard; Heng Zhang; Gwenolé Quellec; Béatrice Cochener; Gouenou Coatrieux (MLMI@MICCAI, 2021)

Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. - Yutong Yan; Pierre-Henri Conze; Gwenolé Quellec; Pascale Massin; Mathieu Lamard; Gouenou Coatrieux; Béatrice Cochener (OMIA@MICCAI, 2021)

Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. - Pierre-Henri Conze; Ali Emre Kavur; Emilie Cornec-Le Gall; Naciye Sinem Gezer; Yannick Le Meur; M. Alper Selver; François Rousseau 002 (Artif. Intell. Medicine, 2021)

Regularized directional representations for medical image registration. - Vincent Jaouen; Pierre-Henri Conze; Guillaume Dardenne; Julien Bert; Dimitris Visvikis (CoRR, 2021)

A new conditional region growing approach for microcalcification delineation in mammograms. - Asma Touil; Karim Kalti; Pierre-Henri Conze; Basel Solaiman; Mohamed Ali Mahjoub (Medical Biol. Eng. Comput., 2021)

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. - 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; et al. (Medical Image Anal., 2021)

ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis. - Gwenolé Quellec; Hassan Al Hajj; Mathieu Lamard; Pierre-Henri Conze; Pascale Massin; Béatrice Cochener (Medical Image Anal., 2021)

Towards improved breast mass detection using dual-view mammogram matching. - Yutong Yan; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Béatrice Cochener; Gouenou Coatrieux (Medical Image Anal., 2021)

CATARACTS. - Hassan Al Hajj; Mathieu Lamard; Pierre-Henri Conze; Béatrice Cochener; Gwenolé Quellec (IEEE DataPort, 2021)

Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study. - Gustavo Andrade-Miranda; Vincent Jaouen; Vincent Bourbonne; François Lucia; Dimitris Visvikis; Pierre-Henri Conze (ICIP, 2022)

Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation. - Amine Sadikine; Bogdan Badic; Jean-Pierre Tasu; Vincent Noblet; Dimitris Visvikis; Pierre-Henri Conze (ICIP, 2022)

Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading. - Ikram Brahim; Mathieu Lamard; Anas-Alexis Benyoussef; Pierre-Henri Conze; Béatrice Cochener; Divi Cornec; Gwenolé Quellec (OMIA@MICCAI, 2022)

Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases. - Mohammad Mohaiminul Islam; Bogdan Badic; Thomas Aparicio; David Tougeron; Jean-Pierre Tasu; Dimitris Visvikis; Pierre-Henri Conze (MICCAI (3), 2022)

Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification. - 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 (OMIA@MICCAI, 2022)

Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. - Yihao Li; Rachid Zeghlache; Ikram Brahim; Hui Xu; Yubo Tan; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Mostafa El Habib Daho (MIDOG/DRAC@MICCAI, 2022)

Detection of Diabetic Retinopathy Using Longitudinal. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Gwenolé Quellec; Mathieu Lamard (OMIA@MICCAI, 2022)

Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network. - Arnaud Boutillon; Bhushan Borotikar; Valérie Burdin; Pierre-Henri Conze (Artif. Intell. Medicine, 2022)

Detection of diabetic retinopathy using longitudinal self-supervised learning. - Rachid Zeghlache; Pierre-Henri Conze; Mostafa El Habib Daho; Ramin Tadayoni; Pascale Massin; Béatrice Cochener; Gwenolé Quellec; Mathieu Lamard (CoRR, 2022)

Multimodal Information Fusion for Glaucoma and DR Classification. - 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 (CoRR, 2022)

A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation. - Asma Touil; Karim Kalti; Pierre-Henri Conze; Basel Solaiman; Mohamed Ali Mahjoub (J. Digit. Imaging, 2022)

Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors. - Arnaud Boutillon; Pierre-Henri Conze; Christelle Pons; Valérie Burdin; Bhushan Borotikar (Medical Image Anal., 2022)

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. - Jun Ma 016; Yao Zhang 010; Song Gu; Xingle An; Zhihe Wang; Cheng Ge; Congcong Wang; Fan Zhang; Yu Wang; Yinan Xu 004; Shuiping Gou; Franz Thaler; et al. (Medical Image Anal., 2022)

Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation. - Amine Sadikine; Bogdan Badic; Jean-Pierre Tasu; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze (ISBI, 2023)

Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. - 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; et al. (OMIA@MICCAI, 2023)

Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. - Yihao Li; Philippe Zhang; Yubo Tan; Jing Zhang; Zhihan Wang; Weili Jiang; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Mostafa El Habib Daho (MMAC@MICCAI, 2023)

Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. - 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 (PRIME@MICCAI, 2023)

LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. - 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 (MLMI@MICCAI (2), 2023)

Cross-modal tumor segmentation using generative blending augmentation and self training. - Guillaume Sallé; Pierre-Henri Conze; Julien Bert; Nicolas Boussion; Dimitris Visvikis; Vincent Jaouen (CoRR, 2023)

Cross-dimensional transfer learning in medical image segmentation with deep learning. - Hicham Messaoudi; Ahror Belaid; Douraied Ben Salem; Pierre-Henri Conze (Medical Image Anal., 2023)

Semi-automatic muscle segmentation in MR images using deep registration-based label propagation. - Nathan Decaux; Pierre-Henri Conze; Juliette Ropars; Xinyan He; Frances T. Sheehan; Christelle Pons; Douraied Ben Salem; Sylvain Brochard; François Rousseau 002 (Pattern Recognit., 2023)

Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology. - Gustavo Andrade-Miranda; Vincent Jaouen; Olena Tankyevych; Catherine Cheze Le Rest; Dimitris Visvikis; Pierre-Henri Conze (Comput. Medical Imaging Graph., 2023)

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)

Learning Transferability in Deep Segmentation of Liver Metastases. - M. Abbas; Gustavo Andrade-Miranda; Vincent Bourbonne; Dimitris Visvikis; Bogdan Badic; Pierre-Henri Conze (ISBI, 2024)

Multi-Modal PET/CT Fusion for Automated PD-L1 Status Prediction in Lung Cancer. - Ronrick Da-Ano; Olena Tankyevych; Gustavo Andrade-Miranda; Pierre-Henri Conze; Catherine Cheze Le Rest; Dimitris Visvikis (ISBI, 2024)

One-Sided Unsupervised Medical Image Synthesis with Normalized Edge Consistency. - Vincent Jaouen; Pierre-Henri Conze; Dimitris Visvikis (ISBI, 2024)

Deep Vessel Segmentation with Joint Multi-Prior Encoding. - Amine Sadikine; Bogdan Badic; Enzo Ferrante; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze (ISBI, 2024)

Detection and Classification of Glaucoma in the Justraigs Challenge: Achievements in Binary and Multilabel Classification. - Philippe Zhang; Yihao Li; Jing Zhang; Weili Jiang; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Mostafa El Habib Daho (ISBI, 2024)

LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. - 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 (MICCAI (5), 2024)

Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-widefield Fundus Imaging. - Philippe Zhang; Pierre-Henri Conze; Mathieu Lamard; Béatrice Cochener; Gwenolé Quellec; Mostafa El Habib Daho (UWF4DR@MICCAI, 2024)

DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis. - 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; et al. (Artif. Intell. Medicine, 2024)

Contrastive image adaptation for acquisition shift reduction in medical imaging. - Clément Hognon; Pierre-Henri Conze; Vincent Bourbonne; Olivier Gallinato; Thierry Colin; Vincent Jaouen; Dimitris Visvikis (Artif. Intell. Medicine, 2024)

A review of deep learning-based information fusion techniques for multimodal medical image classification. - Yihao Li; Mostafa El Habib Daho; Pierre-Henri Conze; Rachid Zeghlache; Hugo Le Boité; Ramin Tadayoni; Béatrice Cochener; Mathieu Lamard; Gwenolé Quellec (Comput. Biol. Medicine, 2024)

Dual-task kidney MR segmentation with transformers in autosomal-dominant polycystic kidney disease. - Pierre-Henri Conze; Gustavo Andrade-Miranda; Yannick Le Meur; Emilie Cornec-Le Gall; François Rousseau 002 (Comput. Medical Imaging Graph., 2024)

Improving abdominal image segmentation with overcomplete shape priors. - Amine Sadikine; Bogdan Badic; Jean-Pierre Tasu; Vincent Noblet; Pascal Ballet; Dimitris Visvikis; Pierre-Henri Conze (Comput. Medical Imaging Graph., 2024)

Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging. - Philippe Zhang; Pierre-Henri Conze; Mathieu Lamard; Gwenolé Quellec; Mostafa El Habib Daho (CoRR, 2024)

Complex Residual Attention U-Net for Fast Ultrasound Imaging from a Single Plane-Wave Equivalent to Diverging Wave Imaging. - Ahmed Bentaleb; Christophe Sintes; Pierre-Henri Conze; François Rousseau 002; Aziliz Guezou-Philippe; Chafiaa Hamitouche (Sensors, 2024)

Advancing Treatment Response Assessment of Hepatic Metastases Using AI-Driven Volumetric Analysis. - M. Abbas; Gustavo Andrade-Miranda; Vincent Bourbonne; Vincent Jaouen; J. Bert; T. Aparicio; Dimitris Visvikis; Bogdan Badic; Pierre-Henri Conze (ISBI, 2025)

Instance-Aware Deep Learning for Liver Metastasis Segmentation. - M. Abbas; Gustavo Andrade-Miranda; Vincent Jaouen; Vincent Bourbonne; J. Bert; Dimitris Visvikis; Bogdan Badic; Pierre-Henri Conze (ISBI, 2025)

L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction. - 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 (Comput. Biol. Medicine, 2025)

Trustworthy AI for stage IV non-small cell lung cancer: Automatic segmentation and uncertainty quantification. - Sacha Dedeken; Pierre-Henri Conze; Vera Damerjian Pieters; Olivier Gallinato; Jérôme Faure; Thierry Colin; Dimitris Visvikis (Comput. Medical Imaging Graph., 2025)

Guidelines for cerebrovascular segmentation: Managing imperfect annotations in the context of semi-supervised learning. - Pierre Rougé; Pierre-Henri Conze; Nicolas Passat; Odyssée Merveille (Comput. Medical Imaging Graph., 2025)

Cross-Modal Tumor Segmentation Using Generative Blending Augmentation and Self-Training. - Guillaume Sallé; Gustavo Andrade-Miranda; Pierre-Henri Conze; Nicolas Boussion; Julien Bert; Dimitris Visvikis; Vincent Jaouen (IEEE Trans. Biomed. Eng., 2025)

Automatic future remnant segmentation in liver resection planning. - Hicham Messaoudi; Marwan Abbas; Bogdan Badic; Douraied Ben Salem; Ahror Belaid; Pierre-Henri Conze (Int. J. Comput. Assist. Radiol. Surg., 2025)

LabelProp: A semi-automatic segmentation tool for 3D medical images. - Nathan Decaux; Pierre-Henri Conze; Juliette Ropars; Xinyan He; Frances T. Sheehan; Christelle Pons; Douraied Ben Salem; Sylvain Brochard; François Rousseau 002 (J. Open Source Softw., 2025)

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. - 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; et al. (CoRR, 2025)

Leveraging distillation in transductive learning for improved medical image segmentation. - Hicham Messaoudi; Ahror Belaid; Douraied Ben Salem; Pierre-Henri Conze (Biomed. Signal Process. Control., 2026)