Pierre-Marc Jodoin

Orcid: 0000-0002-6038-5753

According to our database1, Pierre-Marc Jodoin authored at least 113 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
TractOracle: towards an anatomically-informed reward function for RL-based tractography.
CoRR, 2024

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification.
CoRR, 2024

2023
FIESTA: Autoencoders for accurate fiber segmentation in tractography.
NeuroImage, October, 2023

Generative Sampling in Bundle Tractography using Autoencoders (GESTA).
Medical Image Anal., April, 2023

GANs for Medical Image Synthesis: An Empirical Study.
J. Imaging, 2023

Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering.
CoRR, 2023

What Matters in Reinforcement Learning for Tractography.
CoRR, 2023

Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2023

Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

From Machine Learning to Deep Learning.
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023

2022
Echocardiography Segmentation With Enforced Temporal Consistency.
IEEE Trans. Medical Imaging, 2022

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans.
Medical Image Anal., 2022

FIESTA: Autoencoders for accurate fiber segmentation in tractography.
CoRR, 2022

Generative sampling in tractography using autoencoders (GESTA).
CoRR, 2022

Clustering in Tractography Using Autoencoders (CINTA).
Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Filtering in tractography using autoencoders (FINTA).
Medical Image Anal., 2021

Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging.
CoRR, 2021

Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?
Algorithms, 2021

Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Cardiac Segmentation With Strong Anatomical Guarantees.
IEEE Trans. Medical Imaging, 2020

Neural Teleportation.
CoRR, 2020

Tractography filtering using autoencoders.
CoRR, 2020

The Representation Theory of Neural Networks.
CoRR, 2020

On the effectiveness of GAN generated cardiac MRIs for segmentation.
CoRR, 2020

LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography.
CoRR, 2020

Understanding Alzheimer disease's structural connectivity through explainable AI.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography.
IEEE Trans. Medical Imaging, 2019

Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation.
IEEE J. Biomed. Health Informatics, 2019

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

Tractography and machine learning: Current state and open challenges.
CoRR, 2019

Cardiac MRI Segmentation with Strong Anatomical Guarantees.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Structured Pruning of Neural Networks With Budget-Aware Regularization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Spectral Metric for Dataset Complexity Assessment.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018

MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization.
IEEE Trans. Image Process., 2018

Traffic Analytics With Low-Frame-Rate Videos.
IEEE Trans. Circuits Syst. Video Technol., 2018

2017
Extensive Benchmark and Survey of Modeling Methods for Scene Background Initialization.
IEEE Trans. Image Process., 2017

Improving pedestrian detection using motion-guided filtering.
Pattern Recognit. Lett., 2017

Interactive deep learning method for segmenting moving objects.
Pattern Recognit. Lett., 2017

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.
Medical Image Anal., 2017

Brain tumor segmentation with Deep Neural Networks.
Medical Image Anal., 2017

Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation.
CoRR, 2017

Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images.
Comput. Medical Imaging Graph., 2017

GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Non-local Deep Features for Salient Object Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Deep Learning Trends for Focal Brain Pathology Segmentation in MRI.
Proceedings of the Machine Learning for Health Informatics, 2016

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography.
IEEE Trans. Medical Imaging, 2016

Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes.
IEEE Trans. Circuits Syst. Video Technol., 2016

CBDF: Compressed Binary Discriminative Feature.
Neurocomputing, 2016

Deep learning trends for focal brain pathology segmentation in MRI.
CoRR, 2016

Within-brain classification for brain tumor segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2016

2015
Left-Ventricle Segmentation of SPECT Images of Rats.
IEEE Trans. Biomed. Eng., 2015

Novel Graph Cuts Method for Multi-Frame Super-Resolution.
IEEE Signal Process. Lett., 2015

Signal processing and learning methods for 3D semantic analysis.
Signal Process., 2015

Machine learning and pattern recognition models in change detection.
Pattern Recognit., 2015

High-speed transition patterns for video projection, 3D reconstruction, and copyright protection.
Pattern Recognit., 2015

A new compression format for fiber tracking datasets.
NeuroImage, 2015

A Convolutional Neural Network Approach to Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Traffic analysis without motion features.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Nonlinear Background Filter to Improve Pedestrian Detection.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015

2014
A Novel Video Dataset for Change Detection Benchmarking.
IEEE Trans. Image Process., 2014

Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Lying-pose detection with training dataset expansion.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

CDnet 2014: An Expanded Change Detection Benchmark Dataset.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration.
Signal Process., 2013

Meta-tracking for video scene understanding.
Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012
Behavior Subtraction.
IEEE Trans. Image Process., 2012

Camera-projector matching using unstructured video.
Mach. Vis. Appl., 2012

3D segmentation of abdominal aorta from CT-scan and MR images.
Comput. Medical Imaging Graph., 2012

Exploratory search of long surveillance videos.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Stereoscopic reconfiguration for 3D displays.
Proceedings of the Stereoscopic Displays and Applications XXIII, 2012

Changedetection.net: A new change detection benchmark dataset.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Real-Time Activity Search of Surveillance Video.
Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

2011
Image Multidistortion Estimation.
IEEE Trans. Image Process., 2011

Abnormality detection using low-level co-occurring events.
Pattern Recognit. Lett., 2011

2010
Activity Based Matching in Distributed Camera Networks.
IEEE Trans. Image Process., 2010

Video Anomaly Identification.
IEEE Signal Process. Mag., 2010

Comparative study of background subtraction algorithms.
J. Electronic Imaging, 2010

Search Strategies for Image Multi-distortion Estimation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Human Detection with a Multi-sensors Stereovision System.
Proceedings of the Image and Signal Processing, 4th International Conference, 2010

Camera-projector matching using an unstructured video stream.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Foreground-Adaptive Background Subtraction.
IEEE Signal Process. Lett., 2009

Optical-flow based on an edge-avoidance procedure.
Comput. Vis. Image Underst., 2009

Implicit Active-Contouring with MRF.
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

Unsupervised camera network structure estimation based on activity.
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

Abnormal events detection based on spatio-temporal co-occurences.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Review and evaluation of commonly-implemented background subtraction algorithms.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Motion detection with false discovery rate control.
Proceedings of the International Conference on Image Processing, 2008

Markovian method for 2D, 3D and 4D segmentation of MRI.
Proceedings of the International Conference on Image Processing, 2008

Motion detection with an unstable camera.
Proceedings of the International Conference on Image Processing, 2008

Motion segmentation and abnormal behavior detection via behavior clustering.
Proceedings of the International Conference on Image Processing, 2008

Modeling background activity for behavior subtraction.
Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

Abnormal behavior detection and behavior matching for networked cameras.
Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

2007
Segmentation Framework Based on Label Field Fusion.
IEEE Trans. Image Process., 2007

Statistical Background Subtraction Using Spatial Cues.
IEEE Trans. Circuits Syst. Video Technol., 2007

2006
Markovian segmentation and parameter estimation on graphics hardware.
J. Electronic Imaging, 2006

Light and Fast Statistical Motion Detection Method Based on Ergodic Model.
Proceedings of the International Conference on Image Processing, 2006

Background Subtraction Framework Based on Local Spatial Distributions.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure.
Proceedings of the British Machine Vision Conference 2006, 2006

2005
Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues.
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware.
Proceedings of the Image Analysis and Processing, 2005

Unsupervised Markovian Segmentation on Graphics Hardware.
Proceedings of the Pattern Recognition and Image Analysis, 2005

2004
Fast hierarchical importance sampling with blue noise properties.
ACM Trans. Graph., 2004

An energy-basfd framework using global spatial constraints for the stereo correspondence problem.
Proceedings of the 2004 International Conference on Image Processing, 2004

Unsupervised motion detection using a markovian temporal model with global spatial constraints.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
Halftoning over a hexagonal grid.
Proceedings of the Color Imaging VIII: Processing, Hardcopy, and Applications, Santa Clara, 2003

2002
Hatching by example: a statistical approach.
Proceedings of the 2nd International Symposium on Non-Photorealistic Animation and Rendering, 2002

Error diffusion with blue-noise properties for midtones.
Proceedings of the Color Imaging: Device-Independent Color, 2002


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