Error diffusion with blue-noise properties for midtones. - Pierre-Marc Jodoin; Victor Ostromoukhov (Color Imaging: Device-Independent Color, Color Hardcopy, and Applications, 2002)

Hatching by example: a statistical approach. - Pierre-Marc Jodoin; Emric Epstein; Martin Granger-Piché; Victor Ostromoukhov (NPAR, 2002)

Halftoning over a hexagonal grid. - Pierre-Marc Jodoin; Victor Ostromoukhov (Color Imaging: Processing, Hardcopy, and Applications, 2003)

Unsupervised motion detection using a markovian temporal model with global spatial constraints. - Pierre-Marc Jodoin; Max Mignotte (ICIP, 2004)

An energy-basfd framework using global spatial constraints for the stereo correspondence problem. - Pierre-Marc Jodoin; Max Mignotte (ICIP, 2004)

Fast hierarchical importance sampling with blue noise properties. - Victor Ostromoukhov; Charles Donohue; Pierre-Marc Jodoin (ACM Trans. Graph., 2004)

Unsupervised Markovian Segmentation on Graphics Hardware. - Pierre-Marc Jodoin; Jean-François St-Amour; Max Mignotte (ICAPR (2), 2005)

Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware. - Pierre-Marc Jodoin; Max Mignotte; Jean-François St-Amour (ICIAP, 2005)

Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues. - Pierre-Marc Jodoin; Max Mignotte (ICIAR, 2005)

Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure. - Pierre-Marc Jodoin; Christophe Rosenberger; Max Mignotte (BMVC, 2006)

Background Subtraction Framework Based on Local Spatial Distributions. - Pierre-Marc Jodoin; Max Mignotte; Janusz Konrad (ICIAR (1), 2006)

Light and Fast Statistical Motion Detection Method Based on Ergodic Model. - Pierre-Marc Jodoin; Max Mignotte; Janusz Konrad (ICIP, 2006)

Markovian segmentation and parameter estimation on graphics hardware. - Pierre-Marc Jodoin; Max Mignotte (J. Electronic Imaging, 2006)

Statistical Background Subtraction Using Spatial Cues. - Pierre-Marc Jodoin; Max Mignotte; Janusz Konrad (IEEE Trans. Circuits Syst. Video Technol., 2007)

Segmentation Framework Based on Label Field Fusion. - Pierre-Marc Jodoin; Max Mignotte; Christophe Rosenberger (IEEE Trans. Image Process., 2007)

Abnormal behavior detection and behavior matching for networked cameras. - Erhan Baki Ermis; Venkatesh Saligrama; Pierre-Marc Jodoin; Janusz Konrad (ICDSC, 2008)

Modeling background activity for behavior subtraction. - Pierre-Marc Jodoin; Janusz Konrad; Venkatesh Saligrama (ICDSC, 2008)

Motion segmentation and abnormal behavior detection via behavior clustering. - Erhan Baki Ermis; Venkatesh Saligrama; Pierre-Marc Jodoin; Janusz Konrad (ICIP, 2008)

Motion detection with an unstable camera. - Pierre-Marc Jodoin; Janusz Konrad; Venkatesh Saligrama; Vincent Veilleux-Gaboury (ICIP, 2008)

Markovian method for 2D, 3D and 4D segmentation of MRI. - Pierre-Marc Jodoin; Alain Lalande; Yvon Voisin; Olivier Bouchot; Eric Steinmetz (ICIP, 2008)

Motion detection with false discovery rate control. - J. Mike McHugh; Janusz Konrad; Venkatesh Saligrama; Pierre-Marc Jodoin; David A. Castañón (ICIP, 2008)

Review and evaluation of commonly-implemented background subtraction algorithms. - Yannick Benezeth; Pierre-Marc Jodoin; Bruno Emile; Hélène Laurent; Christophe Rosenberger (ICPR, 2008)

Abnormal events detection based on spatio-temporal co-occurences. - Yannick Benezeth; Pierre-Marc Jodoin; Venkatesh Saligrama; Christophe Rosenberger (CVPR, 2009)

Unsupervised camera network structure estimation based on activity. - Pierre Clarot; Erhan Baki Ermis; Pierre-Marc Jodoin; Venkatesh Saligrama (ICDSC, 2009)

Implicit Active-Contouring with MRF. - Pierre-Marc Jodoin; Venkatesh Saligrama; Janusz Konrad (ICIAR, 2009)

Optical-flow based on an edge-avoidance procedure. - Pierre-Marc Jodoin; Max Mignotte (Comput. Vis. Image Underst., 2009)

Foreground-Adaptive Background Subtraction. - J. Mike McHugh; Janusz Konrad; Venkatesh Saligrama; Pierre-Marc Jodoin (IEEE Signal Process. Lett., 2009)

Camera-projector matching using an unstructured video stream. - Marc-Antoine Drouin; Pierre-Marc Jodoin; Julien Prémont (CVPR Workshops, 2010)

Human Detection with a Multi-sensors Stereovision System. - Yannick Benezeth; Pierre-Marc Jodoin; Bruno Emile; Hélène Laurent; Christophe Rosenberger (ICISP, 2010)

Search Strategies for Image Multi-distortion Estimation. - André-Louis Caron; Pierre-Marc Jodoin; Christophe Charrier (ICPR, 2010)

Comparative study of background subtraction algorithms. - Yannick Benezeth; Pierre-Marc Jodoin; Bruno Emile; Hélène Laurent; Christophe Rosenberger (J. Electronic Imaging, 2010)

Video Anomaly Identification. - Venkatesh Saligrama; Janusz Konrad; Pierre-Marc Jodoin (IEEE Signal Process. Mag., 2010)

Activity Based Matching in Distributed Camera Networks. - Erhan Baki Ermis; Pierre Clarot; Pierre-Marc Jodoin; Venkatesh Saligrama (IEEE Trans. Image Process., 2010)

Abnormality detection using low-level co-occurring events. - Yannick Benezeth; Pierre-Marc Jodoin; Venkatesh Saligrama (Pattern Recognit. Lett., 2011)

Image Multidistortion Estimation. - André-Louis Caron; Pierre-Marc Jodoin (IEEE Trans. Image Process., 2011)

Real-Time Activity Search of Surveillance Video. - Greg Castañón; Venkatesh Saligrama; André-Louis Caron; Pierre-Marc Jodoin (AVSS, 2012)

Changedetection.net: A new change detection benchmark dataset. - Nil Goyette; Pierre-Marc Jodoin; Fatih Porikli; Janusz Konrad; Prakash Ishwar (CVPR Workshops, 2012)

Stereoscopic reconfiguration for 3D displays. - Jean-Christophe Houde; Pierre-Marc Jodoin; François Deschênes (SD&A, 2012)

Exploratory search of long surveillance videos. - Gregory D. Castañón; André-Louis Caron; Venkatesh Saligrama; Pierre-Marc Jodoin (ACM Multimedia, 2012)

3D segmentation of abdominal aorta from CT-scan and MR images. - Anthony Adam Duquette; Pierre-Marc Jodoin; Olivier Bouchot; Alain Lalande (Comput. Medical Imaging Graph., 2012)

Camera-projector matching using unstructured video. - Marc-Antoine Drouin; Pierre-Marc Jodoin; Julien Prémont (Mach. Vis. Appl., 2012)

Behavior Subtraction. - Pierre-Marc Jodoin; Venkatesh Saligrama; Janusz Konrad (IEEE Trans. Image Process., 2012)

Meta-tracking for video scene understanding. - Pierre-Marc Jodoin; Yannick Benezeth; Yi Wang 025 (AVSS, 2013)

Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration. - Guo-Rong Cai; Pierre-Marc Jodoin; Shao-Zi Li; Yun-Dong Wu; Song-Zhi Su; Zhenkun Huang (Signal Process., 2013)

CDnet 2014: An Expanded Change Detection Benchmark Dataset. - Yi Wang 025; Pierre-Marc Jodoin; Fatih Murat Porikli; Janusz Konrad; Yannick Benezeth; Prakash Ishwar (CVPR Workshops, 2014)

Lying-pose detection with training dataset expansion. - Daoxun Xia; Songzhi Su; Shaozi Li; Pierre-Marc Jodoin (ICIP, 2014)

Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification. - Mohammad Havaei; Pierre-Marc Jodoin; Hugo Larochelle (ICPR, 2014)

A Novel Video Dataset for Change Detection Benchmarking. - Nil Goyette; Pierre-Marc Jodoin; Fatih Murat Porikli; Janusz Konrad; Prakash Ishwar (IEEE Trans. Image Process., 2014)

Nonlinear Background Filter to Improve Pedestrian Detection. - Yi Wang 025; Sébastien Piérard; Song-Zhi Su; Pierre-Marc Jodoin (ICIAP Workshops, 2015)

Traffic analysis without motion features. - Zhiming Luo; Pierre-Marc Jodoin; Shao-Zi Li; Song-Zhi Su (ICIP, 2015)

A Convolutional Neural Network Approach to Brain Tumor Segmentation. - Mohammad Havaei; Francis Dutil; Chris Pal; Hugo Larochelle; Pierre-Marc Jodoin (Brainles@MICCAI, 2015)

A new compression format for fiber tracking datasets. - Caroline Presseau; Pierre-Marc Jodoin; Jean-Christophe Houde; Maxime Descoteaux (NeuroImage, 2015)

High-speed transition patterns for video projection, 3D reconstruction, and copyright protection. - Jonathan Boisvert; Marc-Antoine Drouin; Pierre-Marc Jodoin (Pattern Recognit., 2015)

Machine learning and pattern recognition models in change detection. - Djamel Bouchaffra; Mohamed Cheriet; Pierre-Marc Jodoin; Diane M. Beck (Pattern Recognit., 2015)

Signal processing and learning methods for 3D semantic analysis. - Yue Gao 002; Rongrong Ji; Xinbo Gao 001; Pierre-Marc Jodoin (Signal Process., 2015)

Novel Graph Cuts Method for Multi-Frame Super-Resolution. - Dongxiao Zhang; Pierre-Marc Jodoin; Cuihua Li; Yun-Dong Wu; Guo-Rong Cai (IEEE Signal Process. Lett., 2015)

Left-Ventricle Segmentation of SPECT Images of Rats. - Pierre-Marc Jodoin; Fredy Pinheiro; Alexandra Oudot; Alain Lalande (IEEE Trans. Biomed. Eng., 2015)

Within-brain classification for brain tumor segmentation. - Mohammad Havaei; Hugo Larochelle; Philippe Poulin; Pierre-Marc Jodoin (Int. J. Comput. Assist. Radiol. Surg., 2016)

Deep learning trends for focal brain pathology segmentation in MRI. - Mohammad Havaei; Nicolas Guizard; Hugo Larochelle; Pierre-Marc Jodoin (CoRR, 2016)

CBDF: Compressed Binary Discriminative Feature. - Li-Chuan Geng; Pierre-Marc Jodoin; Song-Zhi Su; Shao-Zi Li (Neurocomputing, 2016)

Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes. - Greg Castañón; Mohamed A. Elgharib; Venkatesh Saligrama; Pierre-Marc Jodoin (IEEE Trans. Circuits Syst. Video Technol., 2016)

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. - Olivier Bernard 001; Johan G. Bosch; Brecht Heyde; Martino Alessandrini; Daniel Barbosa 001; Sorina Camarasu-Pop; Frederic Cervenansky; Sébastien Valette; Oana Mirea; Michel Bernier; Pierre-Marc Jodoin; Jaime Santo Domingos; et al. (IEEE Trans. Medical Imaging, 2016)

Deep Learning Trends for Focal Brain Pathology Segmentation in MRI. - Mohammad Havaei; Nicolas Guizard; Hugo Larochelle; Pierre-Marc Jodoin (Machine Learning for Health Informatics, 2016)

Non-local Deep Features for Salient Object Detection. - Zhiming Luo; Akshaya Kumar Mishra; Andrew Achkar; Justin A. Eichel; Shaozi Li; Pierre-Marc Jodoin (CVPR, 2017)

GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation. - Clément Zotti; Zhiming Luo; Olivier Humbert; Alain Lalande; Pierre-Marc Jodoin (STACOM@MICCAI, 2017)

Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images. - Michaël Bernier; Pierre-Marc Jodoin; Olivier Humbert; Alain Lalande (Comput. Medical Imaging Graph., 2017)

Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation. - Clément Zotti; Zhiming Luo; Alain Lalande; Olivier Humbert; Pierre-Marc Jodoin (CoRR, 2017)

Brain tumor segmentation with Deep Neural Networks. - Mohammad Havaei; Axel Davy; David Warde-Farley; Antoine Biard; Aaron C. Courville; Yoshua Bengio; Chris Pal; Pierre-Marc Jodoin; Hugo Larochelle (Medical Image Anal., 2017)

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. - Oskar Maier; Bjoern H. Menze; Janina von der Gablentz; Levin Häni; Mattias P. Heinrich; Matthias Liebrand; Stefan Winzeck; Abdul Basit 007; Paul Bentley; Liang Chen 018; Daan Christiaens; Francis Dutil; et al. (Medical Image Anal., 2017)

Interactive deep learning method for segmenting moving objects. - Yi Wang 025; Zhiming Luo; Pierre-Marc Jodoin (Pattern Recognit. Lett., 2017)

Improving pedestrian detection using motion-guided filtering. - Yi Wang 025; Sébastien Piérard; Song-Zhi Su; Pierre-Marc Jodoin (Pattern Recognit. Lett., 2017)

Extensive Benchmark and Survey of Modeling Methods for Scene Background Initialization. - Pierre-Marc Jodoin; Lucia Maddalena 001; Alfredo Petrosino; Yi Wang 025 (IEEE Trans. Image Process., 2017)

Traffic Analytics With Low-Frame-Rate Videos. - Zhiming Luo; Pierre-Marc Jodoin; Song-Zhi Su; Shao-Zi Li; Hugo Larochelle (IEEE Trans. Circuits Syst. Video Technol., 2018)

MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization. - Zhiming Luo; Frederic Branchaud-Charron; Carl Lemaire; Janusz Konrad; Shaozi Li; Akshaya Mishra; Andrew Achkar; Justin A. Eichel; Pierre-Marc Jodoin (IEEE Trans. Image Process., 2018)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

Spectral Metric for Dataset Complexity Assessment. - Frederic Branchaud-Charron; Andrew Achkar; Pierre-Marc Jodoin (CVPR, 2019)

Structured Pruning of Neural Networks With Budget-Aware Regularization. - Carl Lemaire; Andrew Achkar; Pierre-Marc Jodoin (CVPR, 2019)

Cardiac MRI Segmentation with Strong Anatomical Guarantees. - Nathan Painchaud; Youssef Skandarani; Thierry Judge; Olivier Bernard 001; Alain Lalande; Pierre-Marc Jodoin (MICCAI (2), 2019)

Tractography and machine learning: Current state and open challenges. - Philippe Poulin; Daniel Jörgens; Pierre-Marc Jodoin; Maxime Descoteaux (CoRR, 2019)

Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation. - Bach Ngoc Kim; Christian Desrosiers; Jose Dolz; Pierre-Marc Jodoin (CoRR, 2019)

Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation. - Clément Zotti; Zhiming Luo; Alain Lalande; Pierre-Marc Jodoin (IEEE J. Biomed. Health Informatics, 2019)

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. - Sarah Leclerc; Erik Smistad; João Pedrosa; Andreas Østvik; Frederic Cervenansky; Florian Espinosa; Torvald Espeland; Erik Andreas Rye Berg; Pierre-Marc Jodoin; Thomas Grenier; Carole Lartizien; Jan D'hooge; et al. (IEEE Trans. Medical Imaging, 2019)

Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone. - Audrey Duran; Pierre-Marc Jodoin; Carole Lartizien (MIDL, 2020)

Understanding Alzheimer disease's structural connectivity through explainable AI. - Achraf Essemlali; Etienne St-Onge; Maxime Descoteaux; Pierre-Marc Jodoin (MIDL, 2020)

LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. - Sarah Leclerc; Erik Smistad; Andreas Østvik; Frederic Cervenansky; Florian Espinosa; Torvald Espeland; Erik Andreas Rye Berg; Thomas Grenier; Carole Lartizien; Pierre-Marc Jodoin; Lasse Løvstakken; Olivier Bernard 001 (CoRR, 2020)

On the effectiveness of GAN generated cardiac MRIs for segmentation. - Youssef Skandarani; Nathan Painchaud; Pierre-Marc Jodoin; Alain Lalande (CoRR, 2020)

The Representation Theory of Neural Networks. - Marco Antonio Armenta; Pierre-Marc Jodoin (CoRR, 2020)

Tractography filtering using autoencoders. - Jon Haitz Legarreta; Laurent Petit; François Rheault; Guillaume Theaud; Carl Lemaire; Maxime Descoteaux; Pierre-Marc Jodoin (CoRR, 2020)

Neural Teleportation. - Marco Antonio Armenta; Thierry Judge; Nathan Painchaud; Youssef Skandarani; Carl Lemaire; Gabriel Gibeau Sanchez; Philippe Spino; Pierre-Marc Jodoin (CoRR, 2020)

Cardiac Segmentation With Strong Anatomical Guarantees. - Nathan Painchaud; Youssef Skandarani; Thierry Judge; Olivier Bernard 001; Alain Lalande; Pierre-Marc Jodoin (IEEE Trans. Medical Imaging, 2020)

Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. - Bach Ngoc Kim; Jose Dolz; Christian Desrosiers; Pierre-Marc Jodoin (BMVC, 2021)

Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts? - Youssef Skandarani; Pierre-Marc Jodoin; Alain Lalande (Algorithms, 2021)

Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging. - Benoit Anctil-Robitaille; Antoine Théberge; Pierre-Marc Jodoin; Maxime Descoteaux; Christian Desrosiers; Hervé Lombaert (CoRR, 2021)

Filtering in tractography using autoencoders (FINTA). - Jon Haitz Legarreta; Laurent Petit; François Rheault; Guillaume Theaud; Carl Lemaire; Maxime Descoteaux; Pierre-Marc Jodoin (Medical Image Anal., 2021)

Track-to-Learn: A general framework for tractography with deep reinforcement learning. - Antoine Théberge; Christian Desrosiers; Maxime Descoteaux; Pierre-Marc Jodoin (Medical Image Anal., 2021)

Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images. - Bach Ngoc Kim; Jose Dolz; Pierre-Marc Jodoin; Christian Desrosiers (IEEE Trans. Medical Imaging, 2021)

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. - Thierry Judge; Olivier Bernard 001; Mihaela Porumb; Agisilaos Chartsias; Arian Beqiri; Pierre-Marc Jodoin (MICCAI (8), 2022)

Clustering in Tractography Using Autoencoders (CINTA). - Jon Haitz Legarreta; Laurent Petit; Pierre-Marc Jodoin; Maxime Descoteaux (CDMRI@MICCAI, 2022)

Generative sampling in tractography using autoencoders (GESTA). - Jon Haitz Legarreta; Laurent Petit; Pierre-Marc Jodoin; Maxime Descoteaux (CoRR, 2022)

FIESTA: Autoencoders for accurate fiber segmentation in tractography. - Félix Dumais; Jon Haitz Legarreta; Carl Lemaire; Philippe Poulin; François Rheault; Laurent Petit; Maxime Descoteaux; Pierre-Marc Jodoin (CoRR, 2022)

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. - Audrey Duran; Gaspard Dussert; Olivier Rouvière; Tristan Jaouen; Pierre-Marc Jodoin; Carole Lartizien (Medical Image Anal., 2022)

Echocardiography Segmentation With Enforced Temporal Consistency. - Nathan Painchaud; Nicolas Duchateau; Olivier Bernard 001; Pierre-Marc Jodoin (IEEE Trans. Medical Imaging, 2022)

From Machine Learning to Deep Learning. - Pierre-Marc Jodoin; Nicolas Duchateau; Christian Desrosiers (AI and Big Data in Cardiology, 2023)

Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use? - Hang Jung Ling; Nathan Painchaud; Pierre-Yves Courand; Pierre-Marc Jodoin; Damien Garcia; Olivier Bernard 001 (FIMH, 2023)

Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation. - Bach Ngoc Kim; Jose Dolz; Pierre-Marc Jodoin; Christian Desrosiers (IPMI, 2023)

Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation. - Thierry Judge; Olivier Bernard 001; Woo-Jin Cho Kim; Alberto Gómez 002; Agisilaos Chartsias; Pierre-Marc Jodoin (MICCAI (3), 2023)

What Matters in Reinforcement Learning for Tractography. - Antoine Théberge; Christian Desrosiers; Maxime Descoteaux; Pierre-Marc Jodoin (CoRR, 2023)

Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering. - Daniel Jörgens; Pierre-Marc Jodoin; Maxime Descoteaux; Rodrigo Moreno (CoRR, 2023)

GANs for Medical Image Synthesis: An Empirical Study. - Youssef Skandarani; Pierre-Marc Jodoin; Alain Lalande (J. Imaging, 2023)

Generative Sampling in Bundle Tractography using Autoencoders (GESTA). - Jon Haitz Legarreta; Laurent Petit; Pierre-Marc Jodoin; Maxime Descoteaux (Medical Image Anal., 2023)

FIESTA: Autoencoders for accurate fiber segmentation in tractography. - Félix Dumais; Jon Haitz Legarreta; Carl Lemaire; Philippe Poulin; François Rheault; Laurent Petit; Muhamed Barakovic; Stefano Magon; Maxime Descoteaux; Pierre-Marc Jodoin (NeuroImage, 2023)

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning. - Arnaud Judge; Thierry Judge; Nicolas Duchateau; Roman A. Sandler; Joseph Z. Sokol; Olivier Bernard 001; Pierre-Marc Jodoin (MICCAI (9), 2024)

TractOracle: Towards an Anatomically-Informed Reward Function for RL-Based Tractography. - Antoine Théberge; Maxime Descoteaux; Pierre-Marc Jodoin (MICCAI (2), 2024)

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification. - Nathan Painchaud; Pierre-Yves Courand; Pierre-Marc Jodoin; Nicolas Duchateau; Olivier Bernard 001 (CoRR, 2024)

What matters in reinforcement learning for tractography. - Antoine Théberge; Christian Desrosiers; Arnaud Boré; Maxime Descoteaux; Pierre-Marc Jodoin (Medical Image Anal., 2024)

Exploring the robustness of TractOracle methods in RL-based tractography. - Jeremi Levesque; Antoine Théberge; Maxime Descoteaux; Pierre-Marc Jodoin (Medical Image Anal., 2025)

Uncertainty Propagation for Echocardiography Clinical Metric Estimation via Contour Sampling. - Thierry Judge; Olivier Bernard 001; Woo-Jin Cho Kim; Alberto Gómez 002; Arian Beqiri; Agisilaos Chartsias; Pierre-Marc Jodoin (CoRR, 2025)

ComBAT Harmonization for diffusion MRI: Challenges and Best Practices. - Pierre-Marc Jodoin; Manon Edde; Gabriel Girard; Félix Dumais; Guillaume Theaud; Matthieu Dumont; Jean-Christophe Houde; Yoan David; Maxime Descoteaux (CoRR, 2025)