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2020 – today
- 2024
[b2]Pierre-Henri Conze:
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). Université de Bretagne Occidentale, France, 2024- [j29]Clément Hognon, Pierre-Henri Conze
, Vincent Bourbonne, Olivier Gallinato, Thierry Colin, Vincent Jaouen, Dimitris Visvikis:
Contrastive image adaptation for acquisition shift reduction in medical imaging. Artif. Intell. Medicine 148: 102747 (2024) - [j28]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:
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis. Artif. Intell. Medicine 149: 102803 (2024) - [j27]Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec:
A review of deep learning-based information fusion techniques for multimodal medical image classification. Comput. Biol. Medicine 177: 108635 (2024) - [j26]Pierre-Henri Conze, Gustavo Andrade-Miranda, Yannick Le Meur, Emilie Cornec-Le Gall, François Rousseau:
Dual-task kidney MR segmentation with transformers in autosomal-dominant polycystic kidney disease. Comput. Medical Imaging Graph. 113: 102349 (2024) - [j25]Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze:
Improving abdominal image segmentation with overcomplete shape priors. Comput. Medical Imaging Graph. 113: 102356 (2024) - [j24]Ahmed Bentaleb, Christophe Sintes, Pierre-Henri Conze, François Rousseau, Aziliz Guezou-Philippe, Chafiaa Hamitouche:
Complex Residual Attention U-Net for Fast Ultrasound Imaging from a Single Plane-Wave Equivalent to Diverging Wave Imaging. Sensors 24(16): 5111 (2024) - [c42]M. Abbas, Gustavo Andrade-Miranda, Vincent Bourbonne, Dimitris Visvikis, Bogdan Badic, Pierre-Henri Conze:
Learning Transferability in Deep Segmentation of Liver Metastases. ISBI 2024: 1-5 - [c41]Ronrick Da-Ano, Olena Tankyevych, Gustavo Andrade-Miranda, Pierre-Henri Conze, Catherine Cheze Le Rest, Dimitris Visvikis:
Multi-Modal PET/CT Fusion for Automated PD-L1 Status Prediction in Lung Cancer. ISBI 2024: 1-5 - [c40]Vincent Jaouen, Pierre-Henri Conze, Dimitris Visvikis:
One-Sided Unsupervised Medical Image Synthesis with Normalized Edge Consistency. ISBI 2024: 1-5 - [c39]Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze:
Deep Vessel Segmentation with Joint Multi-Prior Encoding. ISBI 2024: 1-5 - [c38]Philippe Zhang, Yihao Li, Jing Zhang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho:
Detection and Classification of Glaucoma in the Justraigs Challenge: Achievements in Binary and Multilabel Classification. ISBI 2024: 1-4 - [c37]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:
LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. MICCAI (5) 2024: 404-414 - [i35]Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho:
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. CoRR abs/2401.03615 (2024) - [i34]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:
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis. CoRR abs/2401.05137 (2024) - [i33]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:
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction. CoRR abs/2403.16272 (2024) - [i32]Pierre Rougé, Pierre-Henri Conze, Nicolas Passat, Odyssée Merveille:
Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning. CoRR abs/2404.01765 (2024) - [i31]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:
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression. CoRR abs/2404.07091 (2024) - [i30]Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec:
A review of deep learning-based information fusion techniques for multimodal medical image classification. CoRR abs/2404.15022 (2024) - [i29]Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze:
Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation. CoRR abs/2409.12333 (2024) - [i28]Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze:
Deep vessel segmentation with joint multi-prior encoding. CoRR abs/2409.12334 (2024) - [i27]Philippe Zhang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho:
Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging. CoRR abs/2409.12854 (2024) - [i26]Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri Conze:
Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentation. CoRR abs/2409.13001 (2024) - 2023
- [j23]Gustavo Andrade-Miranda, Vincent Jaouen, Olena Tankyevych, Catherine Cheze Le Rest, Dimitris Visvikis, Pierre-Henri Conze:
Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology. Comput. Medical Imaging Graph. 110: 102308 (2023) - [j22]Hicham Messaoudi, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze:
Cross-dimensional transfer learning in medical image segmentation with deep learning. Medical Image Anal. 88: 102868 (2023) - [j21]Nathan Decaux, Pierre-Henri Conze, Juliette Ropars, Xinyan He, Frances T. Sheehan, Christelle Pons, Douraied Ben Salem, Sylvain Brochard, François Rousseau:
Semi-automatic muscle segmentation in MR images using deep registration-based label propagation. Pattern Recognit. 140: 109529 (2023) - [c36]Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze:
Scale-Specific Auxiliary Multi-Task Contrastive Learning for Deep Liver Vessel Segmentation. ISBI 2023: 1-5 - [c35]Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho:
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction. MMAC@MICCAI 2023: 1-17 - [c34]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:
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. PRIME@MICCAI 2023: 1-13 - [c33]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:
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. OMIA@MICCAI 2023: 11-20 - [c32]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:
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. MLMI@MICCAI (2) 2023: 22-32 - [i25]Guillaume Sallé, Pierre-Henri Conze, Julien Bert, Nicolas Boussion, Dimitris Visvikis, Vincent Jaouen:
Cross-modal tumor segmentation using generative blending augmentation and self training. CoRR abs/2304.01705 (2023) - [i24]Hicham Messaoudi, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze:
Cross-dimensional transfer learning in medical image segmentation with deep learning. CoRR abs/2307.15872 (2023) - [i23]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:
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. CoRR abs/2310.01912 (2023) - [i22]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:
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. CoRR abs/2310.10420 (2023) - [i21]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:
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. CoRR abs/2310.10431 (2023) - 2022
- [j20]Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze:
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network. Artif. Intell. Medicine 132: 102364 (2022) - [j19]Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub:
A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation. J. Digit. Imaging 35(6): 1560-1575 (2022) - [j18]Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar:
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. 81: 102556 (2022) - [j17]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:
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. Medical Image Anal. 82: 102616 (2022) - [c31]Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu, Vincent Noblet, Dimitris Visvikis, Pierre-Henri Conze:
Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation. ICIP 2022: 586-590 - [c30]Gustavo Andrade-Miranda, Vincent Jaouen, Vincent Bourbonne, François Lucia, Dimitris Visvikis, Pierre-Henri Conze:
Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study. ICIP 2022: 1336-1340 - [c29]Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Gwenolé Quellec, Mathieu Lamard:
Detection of Diabetic Retinopathy Using Longitudinal. OMIA@MICCAI 2022: 43-52 - [c28]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:
Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification. OMIA@MICCAI 2022: 53-62 - [c27]Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Béatrice Cochener, Divi Cornec, Gwenolé Quellec:
Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading. OMIA@MICCAI 2022: 63-72 - [c26]Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu, Yubo Tan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho:
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. MIDOG/DRAC@MICCAI 2022: 146-160 - [c25]Mohammad Mohaiminul Islam, Bogdan Badic, Thomas Aparicio, David Tougeron, Jean-Pierre Tasu, Dimitris Visvikis, Pierre-Henri Conze:
Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases. MICCAI (3) 2022: 482-491 - [i20]Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar:
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors. CoRR abs/2207.13502 (2022) - [i19]Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Béatrice Cochener, Divi Cornec, Gwenolé Quellec:
Mapping the ocular surface from monocular videos with an application to dry eye disease grading. CoRR abs/2209.00886 (2022) - [i18]Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Gwenolé Quellec, Mathieu Lamard:
Detection of diabetic retinopathy using longitudinal self-supervised learning. CoRR abs/2209.00915 (2022) - [i17]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:
Multimodal Information Fusion for Glaucoma and DR Classification. CoRR abs/2209.00979 (2022) - [i16]Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu, Yubo Tan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho:
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy. CoRR abs/2211.11509 (2022) - 2021
- [j16]Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau:
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. Artif. Intell. Medicine 117: 102109 (2021) - [j15]Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub:
A new conditional region growing approach for microcalcification delineation in mammograms. Medical Biol. Eng. Comput. 59(9): 1795-1814 (2021) - [j14]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:
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - [j13]Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux:
Towards improved breast mass detection using dual-view mammogram matching. Medical Image Anal. 71: 102083 (2021) - [j12]Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener:
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis. Medical Image Anal. 72: 102118 (2021) - [c24]Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze:
Multi-Structure Deep Segmentation With Shape Priors And Latent Adversarial Regularization. ISBI 2021: 999-1002 - [c23]Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux:
Two-Stage Multi-Scale Mass Segmentation From Full Mammograms. ISBI 2021: 1628-1631 - [c22]Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Pascale Massin, Mathieu Lamard, Gouenou Coatrieux, Béatrice Cochener:
Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. OMIA@MICCAI 2021: 11-20 - [c21]Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Heng Zhang, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux:
Deep Active Learning for Dual-View Mammogram Analysis. MLMI@MICCAI 2021: 180-189 - [c20]Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar:
Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. MICCAI (1) 2021: 239-249 - [d1]Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec:
CATARACTS. IEEE DataPort, 2021
- [i15]Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze:
Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization. CoRR abs/2101.10173 (2021) - [i14]Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar:
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. CoRR abs/2105.10310 (2021) - [i13]Vincent Jaouen, Pierre-Henri Conze, Guillaume Dardenne, Julien Bert, Dimitris Visvikis:
Regularized directional representations for medical image registration. CoRR abs/2111.15509 (2021) - 2020
- [j11]Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons:
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. Comput. Medical Imaging Graph. 83: 101733 (2020) - [j10]Kamal Souadih, Ahror Belaid, Douraied Ben Salem, Pierre-Henri Conze:
Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization. Medical Biol. Eng. Comput. 58(2): 291-306 (2020) - [j9]Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener:
Automatic detection of rare pathologies in fundus photographs using few-shot learning. Medical Image Anal. 61: 101660 (2020) - [j8]Mahaman Sani Chaibou, Pierre-Henri Conze, Karim Kalti, Mohamed Ali Mahjoub, Basel Solaiman:
Learning contextual superpixel similarity for consistent image segmentation. Multim. Tools Appl. 79(3-4): 2601-2627 (2020) - [c19]Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub:
Morphological-based microcalcification detection using adaptive thresholding and structural similarity indices. ATSIP 2020: 1-6 - [c18]Asma Touil, Karim Kalti, Pierre-Henri Conze, Basel Solaiman, Mohamed Ali Mahjoub:
A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images. BIBE 2020: 777-784 - [c17]Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze:
Efficient Embedding Network for 3D Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 252-262 - [c16]Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze:
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in Mr Images. ISBI 2020: 1164-1167 - [c15]Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux:
Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching. MLMI@MICCAI 2020: 312-321 - [i12]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:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - [i11]Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau:
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. CoRR abs/2001.09521 (2020) - [i10]Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux:
Two-stage breast mass detection and segmentation system towards automated high-resolution full mammogram analysis. CoRR abs/2002.12079 (2020) - [i9]Gwenolé Quellec, Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener:
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis. CoRR abs/2008.05731 (2020) - [i8]Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze:
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network. CoRR abs/2009.07092 (2020) - [i7]Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze:
Efficient embedding network for 3D brain tumor segmentation. CoRR abs/2011.11052 (2020)
2010 – 2019
- 2019
- [j7]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Unsupervised learning-based long-term superpixel tracking. Image Vis. Comput. 89: 289-301 (2019) - [j6]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:
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. Medical Image Anal. 52: 24-41 (2019) - [c14]Yutong Yan, Pierre-Henri Conze, Etienne Decencière, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux:
Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms. EMBC 2019: 6738-6741 - [c13]Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Frances T. Sheehan, Sylvain Brochard:
Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability. ISBI 2019: 36-39 - [i6]Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons:
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. CoRR abs/1901.01620 (2019) - [i5]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Unsupervised learning-based long-term superpixel tracking. CoRR abs/1902.09596 (2019) - [i4]Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener:
Automatic detection of multiple pathologies in fundus photographs using spin-off learning. CoRR abs/1907.09449 (2019) - [i3]Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze:
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in MR images. CoRR abs/1910.08963 (2019) - 2018
- [j5]Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec:
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks. Medical Image Anal. 47: 203-218 (2018) - [c12]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Long-term superpixel tracking using unsupervised learning and multi-step integration. ATSIP 2018: 1-6 - [c11]A. Guerre, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec:
Optical flow estimation in ocular endoscopy videos using flownet on simulated endoscopy data. ISBI 2018: 1463-1466 - [c10]Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenolé Quellec, Vincent Noblet, Fabrice Heitz:
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI 2018: 39-47 - [i2]Mahaman Sani Chaibou, Pierre-Henri Conze, Karim Kalti, Basel Solaiman, Mohamed Ali Mahjoub:
Adaptive strategy for superpixel-based region-growing image segmentation. CoRR abs/1803.06541 (2018) - 2017
- [j4]Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, Riccardo Memeo, Patrick Pessaux:
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. Int. J. Comput. Assist. Radiol. Surg. 12(2): 223-233 (2017) - [j3]Mahaman Sani Chaibou, Pierre-Henri Conze, Karim Kalti, Basel Solaiman, Mohamed Ali Mahjoub:
Adaptive strategy for superpixel-based region-growing image segmentation. J. Electronic Imaging 26(6): 61605 (2017) - [c9]Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux:
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. ISBI 2017: 490-493 - [i1]Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Béatrice Cochener, Gwenolé Quellec:
Monitoring tool usage in cataract surgery videos using boosted convolutional and recurrent neural networks. CoRR abs/1710.01559 (2017) - 2016
- [j2]Pierre-Henri Conze, Philippe Robert, Tomás Crivelli, Luce Morin:
Multi-reference combinatorial strategy towards longer long-term dense motion estimation. Comput. Vis. Image Underst. 150: 66-80 (2016) - [c8]Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux:
Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. ISBI 2016: 416-419 - 2015
- [j1]Tomás Crivelli, Matthieu Fradet, Pierre-Henri Conze, Philippe Robert, Patrick Pérez:
Robust Optical Flow Integration. IEEE Trans. Image Process. 24(1): 484-498 (2015) - [c7]Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux:
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. MLMI 2015: 212-219 - 2014
- [b1]Pierre-Henri Conze:
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). INSA de Rennes, France, 2014 - [c6]Pierre-Henri Conze, Philippe Robert, Tomás Crivelli, Luce Morin:
Dense Long-term Motion Estimation via Statistical Multi-step Flow. VISAPP (3) 2014: 545-554 - 2013
- [c5]Pierre-Henri Conze, Tomás Crivelli, Philippe Robert, Luce Morin:
Dense motion estimation between distant frames: Combinatorial multi-step integration and statistical selection. ICIP 2013: 3860-3864 - 2012
- [c4]Tomás Crivelli, Pierre-Henri Conze, Philippe Robert, Matthieu Fradet, Patrick Pérez:
Multi-step flow fusion: towards accurate and dense correspondences in long video shots. BMVC 2012: 1-12 - [c3]Pierre-Henri Conze, Philippe Robert, Luce Morin:
Objective view synthesis quality assessment. SD&A 2012: 82881M - [c2]Philippe Robert, Cédric Thébault, Pierre-Henri Conze:
Disparity-compensated view synthesis for S3D content correction. SD&A 2012: 82882F - [c1]Tomás Crivelli, Pierre-Henri Conze, Philippe Robert, Patrick Pérez:
From optical flow to dense long term correspondences. ICIP 2012: 61-64
Coauthor Index
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