Christian Desrosiers

According to our database1, Christian Desrosiers authored at least 121 papers between 2007 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images.
IEEE Trans. Medical Imaging, 2021

Track-to-Learn: A general framework for tractography with deep reinforcement learning.
Medical Image Anal., 2021

Boundary loss for highly unbalanced segmentation.
Medical Image Anal., 2021

Context-aware virtual adversarial training for anatomically-plausible segmentation.
CoRR, 2021

Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets.
CoRR, 2021

Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization.
CoRR, 2021

Teach Me to Segment with Mixed Supervision: Confident Students Become Masters.
Proceedings of the Information Processing in Medical Imaging, 2021

2020
Multi-level rate-constrained successive elimination algorithm tailored to suboptimal motion estimation in HEVC.
Signal Process. Image Commun., 2020

Low-Rank and Sparse Recovery of Human Gait Data.
Sensors, 2020

Deep co-training for semi-supervised image segmentation.
Pattern Recognit., 2020

Discretely-constrained deep network for weakly supervised segmentation.
Neural Networks, 2020

Brain status modeling with non-negative projective dictionary learning.
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

Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy.
CoRR, 2020

Self-paced and self-consistent co-training for semi-supervised image segmentation.
CoRR, 2020

Machine learning for the diagnosis of Parkinson's disease: A systematic review.
CoRR, 2020

Realistic Image Normalization for Multi-Domain Segmentation.
CoRR, 2020

Manifold-Aware CycleGAN for High Resolution Structural-to-DTI Synthesis.
CoRR, 2020

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation.
Comput. Medical Imaging Graph., 2020

Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer.
IEEE Access, 2020

Mutual information deep regularization for semi-supervised segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Spectral Graph Transformer Networks for Brain Surface Parcellation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Adversarial Normalization for Multi Domain Image Segmentation.
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

HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation.
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

Word spotting and recognition via a joint deep embedding of image and text.
Pattern Recognit., 2019

White matter fiber analysis using kernel dictionary learning and sparsity priors.
Pattern Recognit., 2019

Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation.
Medical Image Anal., 2019

Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis.
CoRR, 2019

Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma.
CoRR, 2019

Information based Deep Clustering: An experimental study.
CoRR, 2019

Boosting Image Recognition with Non-differentiable Constraints.
CoRR, 2019

Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation.
CoRR, 2019

Revisiting CycleGAN for semi-supervised segmentation.
CoRR, 2019

Log-barrier constrained CNNs.
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

Adaptive Graph Convolution Pooling for Brain Surface Analysis.
Proceedings of the Information Processing in Medical Imaging, 2019

Analyzing Brain Morphology on the Bag-of-Features Manifold.
Proceedings of the Information Processing in Medical Imaging, 2019

A Large-scale and Extensible Platform for Precision Medicine Research.
Proceedings of the 9th International Conference on Digital Public Health, 2019

2018
Cost-Based Search Ordering for Rate-Constrained Motion Estimation Applied to HEVC.
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

Atlas-based reconstruction of high performance brain MR data.
Pattern Recognit., 2018

Multi-modal brain fingerprinting: A manifold approximation based framework.
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

Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data.
CoRR, 2018

Deep Radiomic Analysis of MRI Related to Alzheimer's Disease.
IEEE Access, 2018

Brain Status Prediction with Non-negative Projective Dictionary Learning.
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

Image denoising based on sparse representation and gradient histogram.
IET Image Process., 2017

Modeling Information Flow Through Deep Neural Networks.
CoRR, 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

Automatic evaluation of vessel diameter variation from 2D X-ray angiography.
Int. J. Comput. Assist. Radiol. Surg., 2017

White Matter Fiber Segmentation Using Functional Varifolds.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Unbiased Shape Compactness for Segmentation.
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

Image completion with global structure and weighted nuclear norm regularization.
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

DOPE: Distributed Optimization for Pairwise Energies.
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

Phenotypic characterization of glioblastoma identified through shape descriptors.
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

Local discriminative characterization of MRI for Alzheimer's disease.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

LRI: A low rank approach to non-local sparse representation for image interpolation.
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
A Comprehensive Survey of Neighborhood-Based Recommendation Methods.
Proceedings of the Recommender Systems Handbook, 2015

Contextual Anomaly Detection Using Log-Linear Tensor Factorization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Brain Fiber Clustering Using Non-negative Kernelized Matching Pursuit.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Effective document image deblurring via gradient histogram preservation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

An adaptive search ordering for rate-constrained successive elimination algorithms.
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

Unsupervised segmentation using dynamic superpixel random walks.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

The Layered Architecture Recovery as a Quadratic Assignment Problem.
Proceedings of the Software Architecture - 9th European Conference, 2015

2014
Automated generation of conjectures on forbidden subgraph characterization.
Discret. Appl. Math., 2014

An unsupervised random walk approach for the segmentation of brain MRI.
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
Image segmentation using random-walks on the histogram.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Stochastic 3D Motion Compensation of Coronary Arteries from Monoplane Angiograms.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

A random walk approach for multiatlas-based segmentation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Atlas-based segmentation of brain magnetic resonance imaging using random walks.
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
A Comprehensive Survey of Neighborhood-based Recommendation Methods.
Proceedings of the Recommender Systems Handbook, 2011

Improving constrained pattern mining with first-fail-based heuristics.
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
A Novel Approach to Compute Similarities and Its Application to Item Recommendation.
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

Within-Network Classification Using Local Structure Similarity.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008
Efficient algorithms for finding critical subgraphs.
Discret. Appl. Math., 2008

2007
Improving Frequent Subgraph Mining in the Presence of Symmetry.
Proceedings of the Mining and Learning with Graphs, 2007


  Loading...