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Pierre-Henri Conze
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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
Contrastive image adaptation for acquisition shift reduction in medical imaging. Artif. Intell. Medicine 148: 102747 (2024) - [j28]Mostafa El Habib Daho
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
A review of deep learning-based information fusion techniques for multimodal medical image classification. Comput. Biol. Medicine 177: 108635 (2024) - [j26]Pierre-Henri Conze
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
Improving abdominal image segmentation with overcomplete shape priors. Comput. Medical Imaging Graph. 113: 102356 (2024) - [j24]Ahmed Bentaleb
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
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
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
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
Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology. Comput. Medical Imaging Graph. 110: 102308 (2023) - [j22]Hicham Messaoudi
Cross-dimensional transfer learning in medical image segmentation with deep learning. Medical Image Anal. 88: 102868 (2023) - [j21]Nathan Decaux
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
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation. PRIME@MICCAI 2023: 1-13 - [c33]Mostafa El Habib Daho
Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images. OMIA@MICCAI 2023: 11-20 - [c32]Rachid Zeghlache
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
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
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
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. Medical Image Anal. 82: 102616 (2022) - [c31]Amine Sadikine
Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel Segmentation. ICIP 2022: 586-590 - [c30]Gustavo Andrade-Miranda
Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor Segmentation: A Comparative Study. ICIP 2022: 1336-1340 - [c29]Rachid Zeghlache
Detection of Diabetic Retinopathy Using Longitudinal. OMIA@MICCAI 2022: 43-52 - [c28]Yihao Li, Mostafa El Habib Daho
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
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
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
Detection of diabetic retinopathy using longitudinal self-supervised learning. CoRR abs/2209.00915 (2022) - [i17]Yihao Li, Mostafa El Habib Daho
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
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
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - [j13]Yutong Yan
Towards improved breast mass detection using dual-view mammogram matching. Medical Image Anal. 71: 102083 (2021) - [j12]Gwenolé Quellec
ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis. Medical Image Anal. 72: 102118 (2021) - [c24]Arnaud Boutillon
Multi-Structure Deep Segmentation With Shape Priors And Latent Adversarial Regularization. ISBI 2021: 999-1002 - [c23]Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec
Two-Stage Multi-Scale Mass Segmentation From Full Mammograms. ISBI 2021: 1628-1631 - [c22]Yutong Yan
Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning. OMIA@MICCAI 2021: 11-20 - [c21]Yutong Yan
Deep Active Learning for Dual-View Mammogram Analysis. MLMI@MICCAI 2021: 180-189 - [c20]Arnaud Boutillon
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
Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization. CoRR abs/2101.10173 (2021) - [i14]Arnaud Boutillon
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
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
Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization. Medical Biol. Eng. Comput. 58(2): 291-306 (2020) - [j9]Gwenolé Quellec
Automatic detection of rare pathologies in fundus photographs using few-shot learning. Medical Image Anal. 61: 101660 (2020) - [j8]Mahaman Sani Chaibou
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
Efficient Embedding Network for 3D Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 252-262 - [c16]Arnaud Boutillon
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in Mr Images. ISBI 2020: 1164-1167 - [c15]Yutong Yan
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
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
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. Medical Image Anal. 52: 24-41 (2019) - [c14]Yutong Yan, Pierre-Henri Conze, Etienne Decencière
Cascaded multi-scale convolutional encoder-decoders for breast mass segmentation in high-resolution mammograms. EMBC 2019: 6738-6741 - [c13]Pierre-Henri Conze, Christelle Pons
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
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
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
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
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
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
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
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
Robust Optical Flow Integration. IEEE Trans. Image Process. 24(1): 484-498 (2015) - [c7]Pierre-Henri Conze, François Rousseau
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
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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