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Liste des publications de "Desrosiers, Christian"Nombre de documents archivés : 177. 2024
Chaddad, Ahmad, Wu, Yihang et Desrosiers, Christian.
2024.
« Federated learning for healthcare applications ».
IEEE Internet of Things Journal, vol. 11, nº 5.
pp. 7339-7358.
Noori, Mehrdad, Cheraghalikhani, Milad, Bahri, Ali, Vargas Hakim, Gustavo A., Osowiechi, David, Ben Ayed, Ismail et Desrosiers, Christian.
2024.
« TFS-ViT: Token-level feature stylization for domain generalization ».
Pattern Recognition, vol. 149.
Théberge, Antoine, Desrosiers, Christian, Boré, Arnaud, Descoteaux, Maxime et Jodoin, Pierre-Marc.
2024.
« What matters in reinforcement learning for tractography ».
Medical Image Analysis, vol. 93.
2023
Beizaee, Farzad, Bona, Michele, Desrosiers, Christian, Dolz, Jose et Lodygensky, Gregory.
2023.
« Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks ».
Scientific Reports, vol. 13, nº 1.
Beizaee, Farzad, Desrosiers, Christian, Lodygensky, Gregory A. et Dolz, Jose.
2023.
« Harmonizing flows: Unsupervised MR harmonization based on normalizing flows ».
In Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023)
Coll. « Lecture Notes in Computer Science », vol. 13939.
pp. 347-359.
Springer.
Chaddad, Ahmad, Tan, Guina, Liang, Xiaojuan, Hassan, Lama, Rathore, Saima, Desrosiers, Christian, Katib, Yousef et Niazi, Tamim.
2023.
« Advancements in MRI-based radiomics and artificial intelligence for prostate cancer: A comprehensive review and future prospects ».
Cancers, vol. 15, nº 15.
Gaillochet, Mélanie, Desrosiers, Christian et Lombaert, Hervé.
2023.
« Active learning for medical image segmentation with stochastic batches ».
Medical Image Analysis, vol. 90.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2023.
« Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation ».
Medical Image Analysis, vol. 90.
Hakim, Gustavo A. Vargas, Osowiechi, David, Noori, Mehrdad, Cheraghalikhani, Milad, Bahri, Ali, Ben Ayed, Ismail et Desrosiers, Christian.
2023.
« ClusT3: Information invariant test-time training ».
In IEEE/CVF International Conference on Computer Vision (ICCV) (Paris, France, Oct. 01-06, 2023)
pp. 6113-6122.
Institute of Electrical and Electronics Engineers Inc..
Kim, Bach Ngoc, Dolz, Jose, Jodoin, Pierre-Marc et Desrosiers, Christian.
2023.
« Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation ».
In Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023)
Coll. « Lecture Notes in Computer Science », vol. 13939.
pp. 717-729.
Springer.
Li, Xuan, Desrosiers, Christian et Liu, Xue.
2023.
« Deep neural forest for out-of-distribution detection of skin lesion images ».
IEEE Journal of Biomedical and Health Informatics, vol. 27, nº 1.
pp. 157-165.
Li, Yujie, Tan, Benying, Ding, Shuxue, Desrosiers, Christian et Chaddad, Ahmad.
2023.
« Symmetry structured analysis sparse coding for key frame extraction ».
In Machine Learning for Cyber Security : 4th International Conference, ML4CS (Guangzhou, China, Dec. 02-04, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13655.
pp. 568-585.
Springer Science and Business Media.
Liu, Bingyuan, Desrosiers, Christian, Ben Ayed, Ismail et Dolz, Jose.
2023.
« Segmentation with mixed supervision: Confidence maximization helps knowledge distillation ».
Medical Image Analysis, vol. 83.
Liu, Jinhua, Desrosiers, Christian, Yu, Dexin et Zhou, Yuanfeng.
2023.
« Semi-supervised medical image segmentation using cross-style consistency with shape-aware and local context constraints ».
IEEE Transactions on Medical Imaging.
Mekhazni, Djebril, Dufau, Maximilien, Desrosiers, Christian, Pedersoli, Marco et Granger, Eric.
2023.
« Camera alignment and weighted contrastive learning for domain adaptation in video person ReID ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 1624-1633.
Institute of Electrical and Electronics Engineers Inc..
Osowiechi, David, Vargas Hakim, Gustavo A., Noori, Mehrdad, Cheraghalikhani, Milad, Ayed, Ismail Ben et Desrosiers, Christian.
2023.
« TTTFlow: Unsupervised Test-Time Training with Normalizing Flow ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 2125-2133.
Institute of Electrical and Electronics Engineers Inc..
Tremblay, Christine, Mahmoudialami, Ali, Ngani Sigue, Philippe Alain, Pei, Yinqing, Côté, David, Boertjes, David, Demeter, Dacian et Desrosiers, Christian.
2023.
« Detection and root cause analysis of performance degradation in optical networks using machine learning ».
In 49th European Conference on Optical Communications (ECOC) (Glasgow, Scotland, Oct. 01-05, 2023)
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuan-Feng, Zhang, Cai-Ming et Desrosiers, Christian.
2023.
« CAT: Constrained adversarial training for anatomically-plausible semi-supervised segmentation ».
IEEE Transactions on Medical Imaging, vol. 42, nº 8.
pp. 2146-2161.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuan-Feng, Zhang, Cai-Ming et Desrosiers, Christian.
2023.
« Shape-aware joint distribution alignment for cross-domain image segmentation ».
IEEE Transactions on Medical Imaging, vol. 42, nº 8.
pp. 2338-2347.
Yousefi, Somaiieh, Chouman, Hussein, Djukic, Petar, Golaghazadeh, Firouzeh, Tremblay, Christine et Desrosiers, Christian.
2023.
« Forecasting lightpath quality of transmission and implementing uncertainty in the forecast models ».
Journal of Lightwave Technology, vol. 41, nº 15.
pp. 4871-4881. 2022
Chaddad, Ahmad, Daniel, Paul, Zhang, Mingli, Rathore, Saima, Sargos, Paul, Desrosiers, Christian et Niazi, Tamim.
2022.
« Deep radiomic signature with immune cell markers predicts the survival of glioma patients ».
Neurocomputing, vol. 469.
pp. 366-375.
Chaddad, Ahmad, Hassan, Lama et Desrosiers, Christian.
2022.
« Deep radiomic analysis for predicting coronavirus disease 2019 in computerized tomography and X-ray images ».
IEEE Transactions on Neural Networks and Learning Systems, vol. 33, nº 1.
pp. 3-11.
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, Wells, William et Toews, Matthew.
2022.
« Efficient pairwise neuroimage analysis using the soft jaccard index and 3D keypoint sets ».
IEEE Transactions on Medical Imaging, vol. 41, nº 4.
pp. 836-845.
Gaillochet, Mélanie, Desrosiers, Christian et Lombaert, Hervé.
2022.
« TAAL: Test-time augmentation for active learning in medical image segmentation ».
In Data Augmentation, Labelling, and Imperfections : Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 22, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13567.
pp. 43-53.
Springer.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2022.
« Learnable pooling in graph convolutional networks for brain surface analysis ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, nº 2.
pp. 864-876.
Kervadec, H., Dolz, J., Yuan, J., Desrosiers, C., Granger, E. et Ben Ayed, I..
2022.
« Constrained deep networks: Lagrangian optimization via Log-barrier extensions ».
In 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022)
pp. 962-966.
European Signal Processing Conference, EUSIPCO.
Kossi, Koffi, Coulombe, Stéphane, Desrosiers, Christian et Gagnon, Ghyslain.
2022.
« No-reference video quality assessment using distortion learning and temporal attention ».
IEEE Access, vol. 10.
pp. 41010-41022.
Li, Xuan, Desrosiers, Christian et Liu, Xue.
2022.
« Symmetric contrastive loss for out-of-distribution skin lesion detection ».
In 19th IEEE International Symposium on Biomedical Imaging (ISBI) (Kolkata, India, Mar. 28-31, 2022)
IEEE Computer Society.
Liu, Jinhua, Cui, Zhiming, Desrosiers, Christian, Lu, Shuyi et Zhou, Yuanfeng.
2022.
« Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation ».
Medical Image Analysis, vol. 81.
Liu, Jinhua, Desrosiers, Christian et Zhou, Yuanfeng.
2022.
« Semi-supervised medical image segmentation using cross-model pseudo-supervision with shape awareness and local context constraints ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings VIII (Singapore, Singapore, Sept. 18-22, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13438.
pp. 140-150.
Springer Science and Business Media Deutschland GmbH.
Nikolakopoulos, Athanasios N., Ning, Xia, Desrosiers, Christian et Karypis, George.
2022.
« Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems ».
In
Recommender systems handbook.
Third edition.
pp. 39-89. Springer US. Pei, Yinqing, Côté, David, Sigue, Philippe Alain Ngani, Mahmoudialami, Ali, Tremblay, Christine et Desrosiers, Christian (inventeurs) 18 octobre 2022. « Identifying root causes of network service degradation ». Ciena Corporation (titulaire(s)). Brevet américain US 11,477,070.
Yazdanpanah, M., Rahman, A. A., Chaudhary, M., Desrosiers, C., Havaei, M., Belilovsky, E. et Kahou, S. E..
2022.
« Revisiting learnable affines for batch norm in few-shot transfer learning ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
pp. 9099-99108.
Piscataway, NJ, USA : IEEE. 2021
Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Herve.
2021.
« Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis ».
In Computational Diffusion MRI : International MICCAI Workshop 2020 (Lima, Peru - En ligne, Oct. 08, 2020)
Coll. « Mathematics and Visualization »
pp. 213-224.
Springer Science and Business Media.
Chaddad, Ahmad, Hassan, Lama et Desrosiers, Christian.
2021.
« Deep CNN models for predicting COVID-19 in CT and X-ray images ».
Journal of medical imaging, vol. 8, nº suppl. 1.
Chaddad, Ahmad, Li, Jiali, Lu, Qizong, Li, Yujie, Okuwobi, Idowu Paul, Tanougast, Camel, Desrosiers, Christian et Niazi, Tamim.
2021.
« Can autism be diagnosed with artificial intelligence? A narrative review ».
Diagnostics, vol. 11, nº 11.
Chaddad, Ahmad, Sargos, Paul et Desrosiers, Christian.
2021.
« Modeling texture in deep 3D CNN for survival analysis ».
IEEE Journal of Biomedical and Health Informatics, vol. 25, nº 7.
pp. 2454-2462.
Chouman, Hussein, Djukic, Petar, Tremblay, Christine et Desrosiers, Christian.
2021.
« Forecasting lightpath QoT with deep neural networks ».
In Optical Fiber Communications Conference and Exhibition (OFC) - Proceedings (San Francisco, CA, USA, June 06-10, 2021)
IEEE.
Delisle, Pierre-Luc, Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Herve.
2021.
« Realistic image normalization for multi-Domain segmentation ».
Medical Image Analysis, vol. 74.
Dolz, Jose, Desrosiers, Christian et Ben Ayed, Ismail.
2021.
« Teach me to segment with mixed supervision: Confident students become masters ».
In 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, Virtual, Online, 28 June 2021 - 30 June 2021 (En ligne, June 28-20, 2021)
Coll. « Lecture Notes in Computer Science », vol. 12729.
pp. 517-529.
Springer.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2021.
« SegRecon : Learning joint brain surface reconstruction and segmentation from images ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 : 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII (Strasbourg, France, Sept. 27-Oct. 01, 2021)
Coll. « Lecture Notes in Computer Science », vol. 12907.
pp. 650-659.
Springer Science and Business Media.
Kervadec, Hoel, Bouchtiba, Jihene, Desrosiers, Christian, Granger, Eric, Dolz, José et Ben Ayed, Ismail.
2021.
« Boundary loss for highly unbalanced segmentation ».
Medical Image Analysis, vol. 67.
Kim, Bach Ngoc, Dolz, Jose, Desrosiers, Christian et Jodoin, Pierre-Marc.
2021.
« Privacy preserving for medical image analysis via non-linear deformation proxy ».
In 32nd British Machine Vision Conference, BMVC (Online, Nov. 22-25, 2021)
British Machine Vision Association, BMVA.
Kim, Bach Ngoc, Dolz, Jose, Jodoin, Pierre-Marc et Desrosiers, Christian.
2021.
« Privacy-net: An adversarial approach for identity-obfuscated segmentation of medical images ».
IEEE Transactions on Medical Imaging, vol. 40, nº 7.
pp. 1737-1749.
Mei, Jie, Desrosiers, Christian et Frasnelli, Johannes.
2021.
« Machine learning for the diagnosis of parkinson's disease: A review of literature ».
Frontiers in Aging Neuroscience, vol. 13.
Mei, Jie, Tremblay, Cecilia, Stikov, Nikola, Desrosiers, Christian et Frasnelli, Johannes.
2021.
« Differentiation of Parkinson's disease and non-Parkinsonian olfactory dysfunction with structural MRI data ».
In Medical Imaging : Image Processing : Progress in Biomedical Optics and Imaging (En ligne, Feb. 15-19, 2021)
Coll. « Proceedings of SPIE », vol. 11597.
SPIE.
Peng, Jizong, Wang, Ping, Desrosiers, Christian et Pedersoli, Marco.
2021.
« Self-paced contrastive learning for semi-supervised medical image segmentation with meta-labels ».
In Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (En ligne, Dec. 06-14, 2021)
pp. 16686-16699.
Neural information processing systems foundation.
Theberge, Antoine, Desrosiers, Christian, Descoteaux, Maxime et Jodoin, Pierre-Marc.
2021.
« Track-to-Learn: A general framework for tractography with deep reinforcement learning ».
Medical Image Analysis, vol. 72.
Trudeau, Luc, Coulombe, Stéphane et Desrosiers, Christian (inventeurs) 9 mars 2021. « Methods and systems for determining motion vectors in a motion estimation process of a video encoder ». École de technologie supérieure (titulaire(s)). Brevet américain US 10,944,986.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuanfeng, Zhang, Caiming et Desrosiers, Christian.
2021.
« Context-aware virtual adversarial training for anatomically-plausible segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I (Strasbourg, France, Sept. 27-Oct. 01, 2021)
Coll. « Lecture Notes in Computer Science », vol. 12901.
pp. 304-314.
Springer Science and Business Media Deutschland GmbH.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuanfeng, Zhang, Caiming et Desrosiers, Christian.
2021.
« Self-paced and self-consistent co-training for semi-supervised image segmentation ».
Medical Image Analysis, vol. 73.
Wei, Guangshun, Ma, Long, Wang, Chen, Desrosiers, Christian et Zhou, YuanFeng.
2021.
« Multi-task joint learning of 3D keypoint saliency and correspondence estimation ».
CAD Computer Aided Design, vol. 141.
Yaméogo, Banti Laure Mathilde, Charlton, Douglas W., Doucet, David, Desrosiers, Christian, O' Sullivan, Maurice et Tremblay, Christine.
25 janvier 2021.
« Detecting Performance Degradation in Fiber-Optic Cables ».
[Article de recherche]. Substance ÉTS.
Yaméogo, Banti Laure Mathilde, Charlton, Douglas W., Doucet, David, Desrosiers, Christian, O' Sullivan, Maurice et Tremblay, Christine.
25 janvier 2021.
« Détection de dégradations de performance dans les câbles de fibre optique ».
[Article de recherche]. Substance ÉTS.
2020
Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Hervé.
2020.
« Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis ».
In MICCAI 2020 Workshop on Computational Diffusion MRI (En ligne, Oct. 08, 2020)
Chaddad, A., Zhang, M., Desrosiers, C. et Niazi, T..
2020.
« Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma ».
In 1st International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, October 13, 2019 - October 13, (Shenzen, China, Oct. 13, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11991.
pp. 36-43.
Springer.
Chaddad, Ahmad, Kucharczyk, Michael J., Desrosiers, Christian, Okuwobi, Idowu Paul, Katib, Yousef, Zhang, Mingli, Rathore, Saima, Sargos, Paul et Niazi, Tamim.
2020.
« Deep radiomic analysis to predict gleason score in prostate cancer ».
IEEE Access, vol. 8.
pp. 167767-167778.
Chauvin, Laurent, Kumar, Kuldeep, Wachinger, Christian, Vangel, Marc, de Guise, Jacques, Desrosiers, Christian, Wells, William et Toews, Matthew.
2020.
« Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives ».
NeuroImage, vol. 204.
Delisle, Pierre-Luc, Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Hervé.
2020.
« Adversarial normalization for multi domain image segmentation ».
In IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020)
pp. 849-853.
IEEE.
Dolz, Jose, Desrosiers, Christian, Wang, Li, Yuan, Jing, Shen, Dinggang et Ben Ayed, Ismail.
2020.
« Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation ».
Computerized Medical Imaging and Graphics, vol. 79.
Golaghazadeh, Firouzeh, Djukic, Petar, Tremblay, Christine et Desrosiers, Christian.
2020.
« Forecasting SNR margins has low-complexity ».
In Proceedings OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF) (Washington, DC, USA, July 13-16, 2020)
OSA - The Optical Society.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Hervé.
2020.
« Graph domain adaptation for alignment-invariant brain surface segmentation ».
In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis : Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, (Lima, Peru, Oct. 08, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12443.
pp. 152-163.
Springer.
Jia, Jin-Gong, Zhou, Yuan-Feng, Hao, Xing-Wei, Li, Feng, Desrosiers, Christian et Zhang, Cai-Ming.
2020.
« Two-stream temporal convolutional networks for skeleton-based human action recognition ».
计算机科学技术学报 = Journal of Computer Science and Technology, vol. 35, nº 3.
pp. 538-550.
Kamali, Kaveh, Akbari, Ali Akbar, Desrosiers, Christian, Akbarzadeh, Alireza, Otis, Martin J. D. et Ayena, Johannes C..
2020.
« Low-rank and sparse recovery of human gait data ».
Sensors, vol. 20, nº 16.
Kamali, Kaveh, Bonev, Ilian A. et Desrosiers, Christian.
2020.
« Real-time motion planning for robotic teleoperation using dynamic-goal deep reinforcement learning ».
In 17th Conference on Computer and Robot Vision (CRV) (Ottawa, ON, Canada, May 13, 2020 - May 15, 2020)
pp. 182-189.
Institute of Electrical and Electronics Engineers Inc..
Liu, Jinhua, Desrosiers, Christian et Zhou, Yuanfeng.
2020.
« Att-MoE: Attention-based Mixture of Experts for nuclear and cytoplasmic segmentation ».
Neurocomputing, vol. 411.
pp. 139-148.
Mezni, Ameni, Charlton, Douglas W., Tremblay, Christine et Desrosiers, Christian.
2020.
« Deep learning for multi-step performance prediction in operational optical networks ».
In Conference on Lasers and Electro-Optics (CLEO) (San Jose, CA, USA, May 10-15, 2020)
IEEE.
Peng, Jizong, Estrada, Guillermo, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Deep co-training for semi-supervised image segmentation ».
Pattern Recognition, vol. 107.
Peng, Jizong, Kervadec, Hoel, Dolz, Jose, Ben Ayed, Ismail, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Discretely-constrained deep network for weakly supervised segmentation ».
Neural Networks, vol. 130.
pp. 297-308.
Peng, Jizong, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Mutual information deep regularization for semi-supervised segmentation ».
In Proceedings of the Third Conference on Medical Imaging with Deep Learning (Montreal, QC, Canada, July 06-08, 2020)
Coll. « Proceedings of Machine Learning Research », vol. 121.
pp. 601-613.
PMLR.
Ran, He, Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2020.
« Spectral graph transformer networks for brain surface parcellation ».
In IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020)
pp. 372-376.
Piscataway, NJ, USA : IEEE.
Trudeau, Luc, Coulombe, Stéphane et Desrosiers, Christian.
2020.
« Multi-level rate-constrained successive elimination algorithm tailored to suboptimal motion estimation in HEVC ».
Signal Processing : Image Communication, vol. 81.
Yaméogo, Banti Laure M., Charlton, Douglas W., Doucet, David, Desrosiers, Christian, O' Sullivan, Maurice et Tremblay, Christine.
2020.
« Trends in optical span loss detected using the time series decomposition method ».
Journal of Lightwave Technology, vol. 38, nº 18.
pp. 5026-5035.
Zhang, Mingli, Desrosiers, Christian, Guo, Yuhong, Khundrakpam, Budhachandra, Al-Sharif, Noor, Kiar, Greg, Valdes-Sosa, Pedro, Poline, Jean-Baptiste et Evans, Alan.
2020.
« Brain status modeling with non-negative projective dictionary learning ».
NeuroImage, vol. 206.
2019
Belghait, Fodil, April, Alain, Hamet, Pavel, Tremblay, Johanne et Desrosiers, Christian.
2019.
« A large-scale and extensible platform for precision medicine research ».
In 9th International Conference on Digital Public Health (DPH) (Marseille, France, Nov. 20-23, 2019)
Coll. « ACM International Conference Proceeding Series »
pp. 47-54.
Association for Computing Machinery. Ben Ayed, Ismail, Desrosiers, Christian et Dolz, Jose. 2019. « Tutorial : Weakly supervised CNN segmentation: Models and optimization ». Communication lors de la conférence : Medical Image Computing and Computer Assisted Intervention (MICCAI) (Shenzen, China, Oct. 13-17, 2019).
Chaddad, Ahmad, Daniel, Paul, Desrosiers, Christian, Toews, Matthew et Abdulkarim, Bassam.
2019.
« Novel radiomic features based on joint intensity matrices for predicting glioblastoma patient survival time ».
IEEE Journal of Biomedical and Health Informatics, vol. 23, nº 2.
pp. 795-804.
Chaddad, Ahmad, Daniel, Paul, Sabri, Siham, Desrosiers, Christian et Abdulkarim, Bassam.
2019.
« Integration of radiomic and multi-omic analyses predicts survival of newly diagnosed IDH1 wild-type glioblastoma ».
Cancers, vol. 11, nº 8.
Chaddad, Ahmad, Desrosiers, Christian, Abdulkarim, Bassam et Niazi, Tamim.
2019.
« Predicting the gene status and survival outcome of lower grade glioma patients with multimodal MRI features ».
IEEE Access, vol. 7.
pp. 75976-75984.
Chaddad, Ahmad, Toews, Matthew, Desrosiers, Christian et Niazi, Tamim.
2019.
« Deep radiomic analysis based on modeling information flow in convolutional neural networks ».
IEEE Access, vol. 7.
pp. 97242-97252.
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, De Guise, Jacques, Wells, William et Toews, Matthew.
2019.
« Analyzing brain morphology on the bag-of-features manifold ».
In Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11492.
pp. 45-56.
Springer Verlag.
Cheng, Jing Dong, Sun, Qiu Le, Zhang, Jian Xin, Desrosiers, Christian, Liu, Bin, Lu, Jian et Zhang, Qiang.
2019.
« Deep high-order supervised hashing ».
Optik, vol. 180.
pp. 847-857.
Dolz, Jose, Ben Ayed, Ismail et Desrosiers, Christian.
2019.
« Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities ».
In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I (Granada, Spain, Sept. 16, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11383.
pp. 271-282.
Cham, Switzerland : Springer.
Dolz, Jose, Desrosiers, Christian et Ben Ayed, Ismail.
2019.
« IVD-Net: intervertebral disc localization and segmentation in MRI with a multi-modal UNet ».
In Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjonction with MICCAI 2018. Revised Selected Papers (Granada, Spain, Sept. 16, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11397.
pp. 130-143.
Springer Verlag.
Dolz, Jose, Gopinath, Karthik, Yuan, Jing, Lombaert, Herve, Desrosiers, Christian et Ben Ayed, Ismail.
2019.
« HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation ».
IEEE Transactions on Medical Imaging, vol. 38, nº 5.
pp. 1116-1126.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2019.
« Adaptive graph convolution pooling for brain surface analysis ».
In Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11492.
pp. 86-98.
Springer Verlag.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2019.
« Graph convolutions on spectral embeddings for cortical surface parcellation ».
Medical Image Analysis, vol. 54.
pp. 297-305.
Kervadec, Hoel, Bouchtiba, Jihene, Desrosiers, Christian, Granger, Eric, Dolz, Jose et Ben Ayed, Ismail.
2019.
« Boundary loss for highly unbalanced segmentation ».
In Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (PMLR) (London, England, July 08-10, 2019)
Coll. « Proceedings of Machine Learning Research », vol. 102.
pp. 285-296.
PMLR.
Kumar, Kuldeep, Siddiqi, Kaleem et Desrosiers, Christian.
2019.
« White matter fiber analysis using kernel dictionary learning and sparsity priors ».
Pattern Recognition, vol. 95.
pp. 83-95.
Mhiri, Mohamed, Desrosiers, Christian et Cheriet, Mohamed.
2019.
« Word spotting and recognition via a joint deep embedding of image and text ».
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« Eye-on-hand calibration method for cable-driven parallel robots ».
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« Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge ».
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« High-quality image restoration using low-rank patch regularization and global structure sparsity ».
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« Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images ».
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« Deep radiomic analysis of MRI related to Alzheimer's disease ».
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« Diffusion Orientation Histograms (DOH) for diffusion weighted image analysis ».
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« Isointense infant brain segmentation with a hyper-dense connected convolutional neural network ».
In IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (Washington, DC, USA, Apr. 04-07, 2018)
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« 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study ».
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« Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ».
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« Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI ».
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« Multi-modal brain fingerprinting: A manifold approximation based framework ».
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« Providing sustainable scientific writing support for graduate engineering students by creating a local scientific learning community ».
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« Promoting good scientific communication habits by leveraging the community of practice within a single research group ».
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« Hierarchical representation learning using spherical k-means for segmentation-free word spotting ».
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« Convolutional pyramid of bidirectional character sequences for the recognition of handwritten words ».
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« Brain status prediction with non-negative projective dictionary learning ».
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« DC-SegNet: a discretely constrained deep network for weakly supervised segmentation ».
In 32nd Conference on Neural Information Processing Systems (NIPS 2018) - Medical Imaging Meets NIPS Workshop (MED-NEURIPS 2018) (Montreal, QC, Canada, Dec. 08, 2018)
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« Cost-based search ordering for rate-constrained motion estimation applied to HEVC ».
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« Structure preserving image denoising based on low-rank reconstruction and gradient histograms ».
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« Atlas-based reconstruction of high performance brain MR data ».
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« Wearable devices for classification of inadequate posture at work using neural networks ».
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« Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder ».
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« Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age ».
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« Predicting survival time of lung cancer patients using radiomic analysis ».
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« DOPE: distributed optimization for pairwise energies ».
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« Unbiased shape compactness for segmentation ».
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« Esophagus segmentation in CT via 3D fully convolutional neural network and random walk ».
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« Classifications of multispectral colorectal cancer tissues using convolution neural network ».
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« Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis ».
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« Fiberprint: Human Brain Wiring Shows Unique Fingerprint ».
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« White matter fiber segmentation using functional varifolds ».
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« Automatic evaluation of vessel diameter variation from 2D X-ray angiography ».
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« Footnote-based document image classification using 1D convolutional neural networks and histograms ».
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« Query-by-example word spotting using multiscale features and classification in the space of representation differences ».
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« Image denoising based on sparse representation and gradient histogram ».
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« Multispectral texture analysis of histopathological abnormalities in colorectal tissues ».
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« A sparse coding approach for the efficient representation and segmentation of white matter fibers ».
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« Spatially constrained sparse regression for the data-driven discovery of neuroimaging biomarkers ».
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« A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences ».
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« Sub-partition reuse for fast optimal motion estimation in HEVC successive elimination algorithms ».
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« Robust MRI reconstruction via re-weighted total variation and non-local sparse regression ».
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« Medical image super-resolution with non-local embedding sparse representation and improved IBP ».
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« A weighted total variation approach for the atlas-based reconstruction of brain MR data ».
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« LRI: a low rank approach to non-local sparse representation for image interpolation ».
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« The layered architecture recovery as a quadratic assignment problem ».
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« A machine learning approach to automate facial expressions from physical activity ».
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« A sparse coding method for semi-supervised segmentation with multi-class histogram constraints ».
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« Brain fiber clustering using non-negative kernelized matching pursuit ».
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« Hierarchical segmentation and tracking of coronary arteries in 2D X-ray angiography sequences ».
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« A comprehensive survey of neighborhood-based recommendation methods ».
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« Contextual anomaly detection using log-linear tensor factorization ».
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« An adaptive search ordering for rate-constrained successive elimination algorithms ».
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« Effective document image deblurring via gradient histogram preservation ».
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« A fast and adaptive random walks approach for the unsupervised segmentation of natural images ».
In 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014)
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« An unsupervised random walk approach for the segmentation of brain MRI ».
In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (Beijing, China, Apr. 29 - May 2, 2014)
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« Automated generation of conjectures on forbidden subgraph characterization ».
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« Rate distortion-based motion estimation search ordering for rate-constrained successive elimination algorithms ».
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« The layered architecture revisited: Is it an optimization problem? ».
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« Vessel Walker: Coronary Arteries Segmentation Using Random Walks And Hessian-Based Vesselness Filter ».
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Hadida, Jonathan, Desrosiers, Christian et Duong, Luc.
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« Stochastic 3D motion compensation of coronary arteries from monoplane angiograms ».
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« Combining Laplacian eigenmaps and vesselness filters for vessel segmentation in X-ray angiography ».
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« A random walk approach for multiatlas-based segmentation ».
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« Atlas-based segmentation of brain magnetic resonance imaging using random walks ».
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« Image segmentation using random-walks on the histogram ».
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« Improving constrained pattern mining with first-fail-based heuristics ».
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« A Comprehensive Survey of Neighborhood-based Recommendation Methods ».
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« Intensity-based hierarchical clustering in CT-scans : application to interactive segmentation in cardiology ».
In Medical Imaging : Visualization, Image-Guided Procedures, and Modeling (Lake Buena Vista, FL, USA, Feb. 13-15, 2011)
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« A novel approach to compute similarities and its application to item recommendation ».
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« Enhancing link-based similarity through the use of non-numerical labels and prior information ».
In Proceedings of the Eighth Workshop on Mining and Learning with Graphs (Washington, D.C., USA, July 24-25, 2010)
pp. 26-33.
New York, NY, USA : Association for Computing Machinery. |
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