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2020 – today
- 2023
[j56]Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz:
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. Medical Image Anal. 83: 102670 (2023)- [j55]Mélanie Gaillochet
, Christian Desrosiers, Hervé Lombaert:
Active learning for medical image segmentation with stochastic batches. Medical Image Anal. 90: 102958 (2023) - [j54]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation. Medical Image Anal. 90: 102974 (2023) - [j53]Xuan Li, Christian Desrosiers, Xue (Steve) Liu:
Deep Neural Forest for Out-of-Distribution Detection of Skin Lesion Images. IEEE J. Biomed. Health Informatics 27(1): 157-165 (2023) - [j52]Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
CAT: Constrained Adversarial Training for Anatomically-Plausible Semi-Supervised Segmentation. IEEE Trans. Medical Imaging 42(8): 2146-2161 (2023) - [j51]Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Shape-Aware Joint Distribution Alignment for Cross-Domain Image Segmentation. IEEE Trans. Medical Imaging 42(8): 2338-2347 (2023) - [c73]Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz:
Harmonizing Flows: Unsupervised MR Harmonization Based on Normalizing Flows. IPMI 2023: 347-359 - [c72]Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation. IPMI 2023: 717-729 - [c71]Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger:
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID. WACV 2023: 1624-1633 - [c70]David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers:
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow. WACV 2023: 2125-2126 - [p2]Pierre-Marc Jodoin, Nicolas Duchateau, Christian Desrosiers:
From Machine Learning to Deep Learning. AI and Big Data in Cardiology 2023: 35-56 - [i57]Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation. CoRR abs/2301.06624 (2023) - [i56]Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
Active learning for medical image segmentation with stochastic batches. CoRR abs/2301.07670 (2023) - [i55]Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz:
Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows. CoRR abs/2301.11551 (2023) - [i54]Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers:
TFS-ViT: Token-Level Feature Stylization for Domain Generalization. CoRR abs/2303.15698 (2023) - [i53]Antoine Théberge, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin:
What Matters in Reinforcement Learning for Tractography. CoRR abs/2305.09041 (2023) - [i52]Bach Ngoc Kim, José Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation. CoRR abs/2305.13756 (2023) - [i51]Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz:
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. CoRR abs/2307.05707 (2023) - [i50]Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers:
ClusT3: Information Invariant Test-Time Training. CoRR abs/2310.12345 (2023) - 2022
- [j50]Koffi Kossi, Stéphane Coulombe, Christian Desrosiers, Ghyslain Gagnon:
No-Reference Video Quality Assessment Using Distortion Learning and Temporal Attention. IEEE Access 10: 41010-41022 (2022) - [j49]Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi:
Deep radiomic signature with immune cell markers predicts the survival of glioma patients. Neurocomputing 469: 366-375 (2022) - [j48]Jinhua Liu, Zhiming Cui, Christian Desrosiers, Shuyi Lu, Yuanfeng Zhou:
Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation. Medical Image Anal. 81: 102567 (2022) - [j47]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 864-876 (2022) - [j46]Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews:
Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets. IEEE Trans. Medical Imaging 41(4): 836-845 (2022) - [j45]Ahmad Chaddad, Lama Hassan, Christian Desrosiers:
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images. IEEE Trans. Neural Networks Learn. Syst. 33(1): 3-11 (2022) - [c69]Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou:
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning. CVPR 2022: 9099-9108 - [c68]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Constrained deep networks: Lagrangian optimization via Log-barrier extensions. EUSIPCO 2022: 962-966 - [c67]Xuan Li, Christian Desrosiers, Xue Liu:
Symmetric Contrastive Loss for Out-of-Distribution Skin Lesion Detection. ISBI 2022: 1-5 - [c66]Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert:
TAAL: Test-Time Augmentation for Active Learning in Medical Image Segmentation. DALI@MICCAI 2022: 43-53 - [c65]Jinhua Liu, Christian Desrosiers, Yuanfeng Zhou:
Semi-supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints. MICCAI (8) 2022: 140-150 - [c64]Yujie Li, Benying Tan, Shuxue Ding, Christian Desrosiers, Ahmad Chaddad:
Symmetry Structured Analysis Sparse Coding for Key Frame Extraction. ML4CS (1) 2022: 568-585 - [r2]Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis:
Trust Your Neighbors: A Comprehensive Survey of Neighborhood-Based Methods for Recommender Systems. Recommender Systems Handbook 2022: 39-89 - [i49]Jizong Peng, Ping Wang, Marco Pedersoli, Christian Desrosiers:
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation. CoRR abs/2202.02371 (2022) - [i48]Ahmad Chaddad, Lama Hassan, Christian Desrosiers:
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images. CoRR abs/2206.01903 (2022) - [i47]Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi:
Deep radiomic signature with immune cell markers predicts the survival of glioma patients. CoRR abs/2206.04349 (2022) - [i46]David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers:
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow. CoRR abs/2210.11389 (2022) - [i45]Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger:
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID. CoRR abs/2211.03626 (2022) - 2021
- [j44]Guangshun Wei, Long Ma, Chen Wang, Christian Desrosiers, Yuanfeng Zhou:
Multi-Task Joint Learning of 3D Keypoint Saliency and Correspondence Estimation. Comput. Aided Des. 141: 103105 (2021) - [j43]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. Medical Image Anal. 67: 101851 (2021) - [j42]Antoine Théberge, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin:
Track-to-Learn: A general framework for tractography with deep reinforcement learning. Medical Image Anal. 72: 102093 (2021) - [j41]Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Self-paced and self-consistent co-training for semi-supervised image segmentation. Medical Image Anal. 73: 102146 (2021) - [j40]Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Realistic image normalization for multi-Domain segmentation. Medical Image Anal. 74: 102191 (2021) - [j39]Ahmad Chaddad, Paul Sargos, Christian Desrosiers:
Modeling Texture in Deep 3D CNN for Survival Analysis. IEEE J. Biomed. Health Informatics 25(7): 2454-2462 (2021) - [j38]Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images. IEEE Trans. Medical Imaging 40(7): 1737-1749 (2021) - [c63]Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin:
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. BMVC 2021: 375 - [c62]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
Teach Me to Segment with Mixed Supervision: Confident Students Become Masters. IPMI 2021: 517-529 - [c61]Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Context-Aware Virtual Adversarial Training for Anatomically-Plausible Segmentation. MICCAI (1) 2021: 304-314 - [c60]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images. MICCAI (7) 2021: 650-659 - [c59]Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli:
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels. NeurIPS 2021: 16686-16699 - [c58]Hussein Chouman, Petar Djukic, Christine Tremblay, Christian Desrosiers:
Forecasting Lightpath QoT with Deep Neural Networks. OFC 2021: 1-3 - [i44]Jizong Peng, Marco Pedersoli, Christian Desrosiers:
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization. CoRR abs/2103.04813 (2021) - [i43]Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William M. Wells III, Matthew Toews:
Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets. CoRR abs/2103.06966 (2021) - [i42]Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Context-aware virtual adversarial training for anatomically-plausible segmentation. CoRR abs/2107.05532 (2021) - [i41]Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli:
Self-Paced Contrastive Learning for Semi-supervisedMedical Image Segmentation with Meta-labels. CoRR abs/2107.13741 (2021) - [i40]Benoit Anctil-Robitaille, Antoine Théberge, Pierre-Marc Jodoin, Maxime Descoteaux, Christian Desrosiers, Hervé Lombaert:
Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging. CoRR abs/2108.04135 (2021) - [i39]Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis:
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems. CoRR abs/2109.04584 (2021) - [i38]Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz:
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. CoRR abs/2109.10902 (2021) - [i37]Jizong Peng, Christian Desrosiers, Marco Pedersoli:
Diversified Multi-prototype Representation for Semi-supervised Segmentation. CoRR abs/2111.08651 (2021) - 2020
- [j37]Ahmad Chaddad, Michael J. Kucharczyk, Christian Desrosiers, Idowu Paul Okuwobi, Yousef Katib, Mingli Zhang, Saima Rathore, Paul Sargos, Tamim Niazi:
Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer. IEEE Access 8: 167767-167778 (2020) - [j36]Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. 79: 101660 (2020) - [j35]Jinhua Liu, Christian Desrosiers, Yuanfeng Zhou:
Att-MoE: Attention-based Mixture of Experts for nuclear and cytoplasmic segmentation. Neurocomputing 411: 139-148 (2020) - [j34]Jin-Gong Jia, Yuanfeng Zhou, Xing-Wei Hao, Feng Li, Christian Desrosiers, Cai-ming Zhang:
Two-Stream Temporal Convolutional Networks for Skeleton-Based Human Action Recognition. J. Comput. Sci. Technol. 35(3): 538-550 (2020) - [j33]Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Mark G. Vangel, Jacques A. de Guise, Christian Desrosiers, William M. Wells III, Matthew Toews:
Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives. NeuroImage 204 (2020) - [j32]Mingli Zhang, Christian Desrosiers, Yuhong Guo, Budhachandra S. Khundrakpam, Noor Al-Sharif, Gregory Kiar, Pedro A. Valdés-Sosa, Jean-Baptiste Poline, Alan C. Evans:
Brain status modeling with non-negative projective dictionary learning. NeuroImage 206 (2020) - [j31]Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
Discretely-constrained deep network for weakly supervised segmentation. Neural Networks 130: 297-308 (2020) - [j30]Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers:
Deep co-training for semi-supervised image segmentation. Pattern Recognit. 107: 107269 (2020) - [j29]Kaveh Kamali, Ali Akbar Akbari, Christian Desrosiers, Alireza Akbarzadeh, Martin J.-D. Otis, Johannes C. Ayena:
Low-Rank and Sparse Recovery of Human Gait Data. Sensors 20(16): 4525 (2020) - [j28]Luc Trudeau, Stéphane Coulombe, Christian Desrosiers:
Multi-level rate-constrained successive elimination algorithm tailored to suboptimal motion estimation in HEVC. Signal Process. Image Commun. 81 (2020) - [c57]Kaveh Kamali, Ilian A. Bonev, Christian Desrosiers:
Real-time Motion Planning for Robotic Teleoperation Using Dynamic-goal Deep Reinforcement Learning. CRV 2020: 182-189 - [c56]Ran He, Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Spectral Graph Transformer Networks for Brain Surface Parcellation. ISBI 2020: 372-376 - [c55]Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Adversarial Normalization for Multi Domain Image Segmentation. ISBI 2020: 849-853 - [c54]Xuan Li, Yuchen Lu, Christian Desrosiers, Xue Liu:
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest. MLMI@MICCAI 2020: 91-100 - [c53]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation. UNSURE/GRAIL@MICCAI 2020: 152-163 - [c52]Jizong Peng, Marco Pedersoli, Christian Desrosiers:
Mutual information deep regularization for semi-supervised segmentation. MIDL 2020: 601-613 - [i36]Xuan Li, Yuchen Lu, Christian Desrosiers, Xue Liu:
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest. CoRR abs/2003.09365 (2020) - [i35]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation. CoRR abs/2004.00074 (2020) - [i34]Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Manifold-Aware CycleGAN for High Resolution Structural-to-DTI Synthesis. CoRR abs/2004.00173 (2020) - [i33]Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Realistic Image Normalization for Multi-Domain Segmentation. CoRR abs/2009.14024 (2020) - [i32]Jie Mei, Christian Desrosiers, Johannes Frasnelli:
Machine learning for the diagnosis of Parkinson's disease: A systematic review. CoRR abs/2010.06101 (2020) - [i31]Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Self-paced and self-consistent co-training for semi-supervised image segmentation. CoRR abs/2011.00325 (2020) - [i30]Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin:
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. CoRR abs/2011.12835 (2020) - [i29]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
Teach me to segment with mixed supervision: Confident students become masters. CoRR abs/2012.08051 (2020)
2010 – 2019
- 2019
- [j27]Ahmad Chaddad, Christian Desrosiers, Bassam Abdulkarim, Tamim Niazi:
Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features. IEEE Access 7: 75976-75984 (2019) - [j26]Ahmad Chaddad, Matthew Toews, Christian Desrosiers, Tamim Niazi:
Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks. IEEE Access 7: 97242-97252 (2019) - [j25]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation. Medical Image Anal. 54: 297-305 (2019) - [j24]Mohamed Mhiri, Christian Desrosiers, Mohamed Cheriet:
Word spotting and recognition via a joint deep embedding of image and text. Pattern Recognit. 88: 312-320 (2019) - [j23]Kuldeep Kumar, Kaleem Siddiqi, Christian Desrosiers:
White matter fiber analysis using kernel dictionary learning and sparsity priors. Pattern Recognit. 95: 83-95 (2019) - [j22]Mingli Zhang, Christian Desrosiers:
High-quality Image Restoration Using Low-Rank Patch Regularization and Global Structure Sparsity. IEEE Trans. Image Process. 28(2): 868-879 (2019) - [j21]Ahmad Chaddad, Paul Daniel, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim:
Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time. IEEE J. Biomed. Health Informatics 23(2): 795-804 (2019) - [j20]Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed:
HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. IEEE Trans. Medical Imaging 38(5): 1116-1126 (2019) - [j19]Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen:
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38(9): 2219-2230 (2019) - [c51]Fodil Belghait, Alain April, Pavel Hamet, Johanne Tremblay, Christian Desrosiers:
A Large-scale and Extensible Platform for Precision Medicine Research. PDH 2019: 47-54 - [c50]Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques A. de Guise, William M. Wells III, Matthew Toews:
Analyzing Brain Morphology on the Bag-of-Features Manifold. IPMI 2019: 45-56 - [c49]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Adaptive Graph Convolution Pooling for Brain Surface Analysis. IPMI 2019: 86-98 - [c48]Ahmad Chaddad, Mingli Zhang, Christian Desrosiers, Tamim Niazi:
Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma. RNO-AI@MICCAI 2019: 36-43 - [c47]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. MIDL 2019: 285-296 - [i28]Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers:
Deep Co-Training for Semi-Supervised Image Segmentation. CoRR abs/1903.11233 (2019) - [i27]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Log-barrier constrained CNNs. CoRR abs/1904.04205 (2019) - [i26]Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
Discretely-constrained deep network for weakly supervised segmentation. CoRR abs/1908.05770 (2019) - [i25]Arnab Kumar Mondal, Aniket Agarwal, Jose Dolz, Christian Desrosiers:
Revisiting CycleGAN for semi-supervised segmentation. CoRR abs/1908.11569 (2019) - [i24]Bach Ngoc Kim, Christian Desrosiers, Jose Dolz, Pierre-Marc Jodoin:
Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation. CoRR abs/1909.04087 (2019) - [i23]Xuan Li, Yuchen Lu, Peng Xu, Jizong Peng, Christian Desrosiers, Xue Liu:
Boosting Image Recognition with Non-differentiable Constraints. CoRR abs/1910.00736 (2019) - [i22]Jizong Peng, Christian Desrosiers, Marco Pedersoli:
Information based Deep Clustering: An experimental study. CoRR abs/1910.01665 (2019) - [i21]Ahmad Chaddad, Saima Rathore, Mingli Zhang, Christian Desrosiers, Tamim Niazi:
Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. CoRR abs/1911.06687 (2019) - [i20]Ran He, Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Spectral Graph Transformer Networks for Brain Surface Parcellation. CoRR abs/1911.10118 (2019) - [i19]Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis. CoRR abs/1911.10129 (2019) - [i18]Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Adversarial normalization for multi domain image segmentation. CoRR abs/1912.00993 (2019) - 2018
- [j18]Ahmad Chaddad, Christian Desrosiers, Tamim Niazi:
Deep Radiomic Analysis of MRI Related to Alzheimer's Disease. IEEE Access 6: 58213-58221 (2018) - [j17]Mingli Zhang, Christian Desrosiers:
Structure preserving image denoising based on low-rank reconstruction and gradient histograms. Comput. Vis. Image Underst. 171: 48-60 (2018) - [j16]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. NeuroImage 170: 456-470 (2018) - [j15]Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero, Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, D. Louis Collins, Sarah H. Ying, Chiadi U. Onyike, Jerry L. Prince:
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. NeuroImage 183: 150-172 (2018)