Christian Desrosiers
Orcid: 0000-0002-9162-9650
According to our database1,
Christian Desrosiers
authored at least 164 papers
between 2007 and 2024.
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Bibliography
2024
Semi-Supervised Medical Image Segmentation Using Cross-Style Consistency With Shape-Aware and Local Context Constraints.
IEEE Trans. Medical Imaging, April, 2024
Improvement Of Audiovisual Quality Estimation Using A Nonlinear Autoregressive Exogenous Neural Network And Bitstream Parameters.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation.
Medical Image Anal., December, 2023
Medical Image Anal., December, 2023
IEEE Trans. Medical Imaging, 2023
CAT: Constrained Adversarial Training for Anatomically-Plausible Semi-Supervised Segmentation.
IEEE Trans. Medical Imaging, 2023
IEEE J. Biomed. Health Informatics, 2023
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation.
Medical Image Anal., 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023
2022
Trust Your Neighbors: A Comprehensive Survey of Neighborhood-Based Methods for Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images.
IEEE Trans. Neural Networks Learn. Syst., 2022
Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation.
Medical Image Anal., 2022
Deep radiomic signature with immune cell markers predicts the survival of glioma patients.
Neurocomputing, 2022
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation.
CoRR, 2022
No-Reference Video Quality Assessment Using Distortion Learning and Temporal Attention.
IEEE Access, 2022
Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022
Semi-supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images.
IEEE Trans. Medical Imaging, 2021
IEEE J. Biomed. Health Informatics, 2021
Medical Image Anal., 2021
Track-to-Learn: A general framework for tractography with deep reinforcement learning.
Medical Image Anal., 2021
Medical Image Anal., 2021
CoRR, 2021
CoRR, 2021
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems.
CoRR, 2021
CoRR, 2021
Self-Paced Contrastive Learning for Semi-supervisedMedical Image Segmentation with Meta-labels.
CoRR, 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization.
CoRR, 2021
Comput. Aided Des., 2021
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Differentiation of Parkinson's disease and non-Parkinsonian olfactory dysfunction with structural MRI data.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Multi-level rate-constrained successive elimination algorithm tailored to suboptimal motion estimation in HEVC.
Signal Process. Image Commun., 2020
Neural Networks, 2020
NeuroImage, 2020
Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives.
NeuroImage, 2020
Two-Stream Temporal Convolutional Networks for Skeleton-Based Human Action Recognition.
J. Comput. Sci. Technol., 2020
Att-MoE: Attention-based Mixture of Experts for nuclear and cytoplasmic segmentation.
Neurocomputing, 2020
CoRR, 2020
Comput. Medical Imaging Graph., 2020
IEEE Access, 2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Real-time Motion Planning for Robotic Teleoperation Using Dynamic-goal Deep Reinforcement Learning.
Proceedings of the 17th Conference on Computer and Robot Vision, 2020
2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time.
IEEE J. Biomed. Health Informatics, 2019
High-quality Image Restoration Using Low-Rank Patch Regularization and Global Structure Sparsity.
IEEE Trans. Image Process., 2019
Pattern Recognit., 2019
Pattern Recognit., 2019
Medical Image Anal., 2019
CoRR, 2019
Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma.
CoRR, 2019
CoRR, 2019
Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks.
IEEE Access, 2019
Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features.
IEEE Access, 2019
Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma.
Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 9th International Conference on Digital Public Health, 2019
2018
IEEE Trans. Broadcast., 2018
Convolutional pyramid of bidirectional character sequences for the recognition of handwritten words.
Pattern Recognit. Lett., 2018
Hierarchical representation learning using spherical k-means for segmentation-free word spotting.
Pattern Recognit. Lett., 2018
Pattern Recognit., 2018
NeuroImage, 2018
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.
NeuroImage, 2018
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.
NeuroImage, 2018
Structure preserving image denoising based on low-rank reconstruction and gradient histograms.
Comput. Vis. Image Underst., 2018
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning.
CoRR, 2018
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.
CoRR, 2018
CoRR, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Isointense infant brain segmentation with a hyper-dense connected convolutional neural network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Wearable Devices for Classification of Inadequate Posture at Work Using Neural Networks.
Sensors, 2017
Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis.
NeuroImage, 2017
IET Image Process., 2017
HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation.
CoRR, 2017
Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI.
CoRR, 2017
A 3D fully convolutional neural network and a random walker to segment the esophagus in CT.
CoRR, 2017
Int. J. Comput. Assist. Radiol. Surg., 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Footnote-based document image classification using 1D convolutional neural networks and histograms.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Query-by-example word spotting using multiscale features and classification in the space of representation differences.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Effective compressive sensing via reweighted total variation and weighted nuclear norm regularization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences.
Comput. Biol. Medicine, 2016
Robust MRI reconstruction via re-weighted total variation and non-local sparse regression.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016
GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
A sparse coding approach for the efficient representation and segmentation of white matter fibers.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
A weighted total variation approach for the atlas-based reconstruction of brain MR data.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Sub-partition reuse for fast optimal motion estimation in HEVC successive elimination algorithms.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Multispectral texture analysis of histopathological abnormalities in colorectal tissues.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Medical image super-resolution with non-local embedding sparse representation and improved IBP.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Proceedings of the Recommender Systems Handbook, 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Hierarchical segmentation and tracking of coronary arteries in 2D X-ray Angiography sequences.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
A sparse coding method for semi-supervised segmentation with multi-class histogram constraints.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the Software Architecture - 9th European Conference, 2015
2014
Discret. Appl. Math., 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
A Fast and Adaptive Random Walks Approach for the Unsupervised Segmentation of Natural Images.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Rate distortion-based motion estimation search ordering for rate-constrained successive elimination algorithms.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
The Layered Architecture revisited: Is it an Optimization Problem?
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013
Vesselwalker: Coronary arteries segmentation using random walks and hessian-based vesselness filter.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012
Combining Laplacian eigenmaps and vesselness filters for vessel segmentation in X-ray angiography.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012
2011
Proceedings of the Recommender Systems Handbook, 2011
Data Min. Knowl. Discov., 2011
Intensity-based hierarchical clustering in CT-scans: application to interactive segmentation in cardiology.
Proceedings of the Medical Imaging 2011: Visualization, 2011
2010
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010
Enhancing link-based similarity through the use of non-numerical labels and prior information.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010
2009
Using heuristics to find minimal unsatisfiable subformulas in satisfiability problems.
J. Comb. Optim., 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
2008
2007
Proceedings of the Mining and Learning with Graphs, 2007