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Colloque annuel de l'axe d'imagerie du Centre de recherche du CHUS.
September 2024
Les hauts et les bas de l'IA médicale : entre promesses et réalité
Colloque annuel de l'OTIMROEMQ
Mai 2024
Avancements de la recherche en analyse échocardiographique par l’IA
Image Processing and Medical Imaging (IPMI) conf.
June 2023
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation
CREATIS monthly seminars, Lyon, France
October 2022
MLOps or the Modern Way of Developing Deep Learning Software
CREATIS monthly seminars, Lyon, France
September 2022
Theory and Applications of Spectral Clustering
CREATIS monthly seminars, Lyon, France
November 2022
Starting up a business in medical imaging: A survival kit.
Deep learning for medical imaging school 2022, Montreal, Canada
July 2022
Introduction to machine learning Part 1 and Part 2
Deep learning for medical imaging school 2022, Montreal, Canada
July 2022
Basics in deep learning, part 1.
Deep learning for medical imaging school 2022, Montreal, Canada
July 2022
Variational Autoencoder : Making it Work.
Neuro-Show 2, Sherbrooke, Canada
August 2022
L'IA et la médecine. Neuro-Show 2
Deep learning for medical imaging school 2021 (Virtual ed.)
April 2021
Variational Autoencoder : Making it Work.
Deep learning for medical imaging school 2021 (Virtual ed.)
April 2021
Basics in deep learning, part 1.
Imeka webinar, Canada
July 2020
AI: What’s under the hood? Why & how does it work?
NeuroCiné, Sherbrooke, Canada
September 2019
exMachina : IA entre fiction et réalité
Deep learning medical imaging school (https://
deepimaging2019.sciencesconf.org/resource/page/id/1), Lyon, France
April 2019
Advanced concepts in deep learning. Deep learning medical imaging school
Deep learning for medical imaging, Spring School
April 2019
Basics of deep learning
Montreal AI Symposium
September 2019
Cardiac MRI Segmentation with Strong Anatomical Guarantees
MICCAI ACDC Challenge
September 2017
Opening talk and results of the challenge
Université de Lyon
May 2017
""Recent advances at the VITALab :
solving video analytic and medical imaging problems
trough deep learning methods""
Ecole de technologies superieures, Montreal
July 2017
""Recent advances at the VITALab :
solving video analytic and medical imaging problems
trough deep learning methods""
CVPR MIO-TCD Challenge
July 2017
Opening talk and results of the challenge
ICPR Scene background modeling workshop
December 2016
Opening talk and results of the challenge
IEEE CVPR Change detection workshop
June 2014
Opening talk and results of the challenge
Workshop Centre de recherche sur les environnements intelligents
May 2014
Mot d'ouverture
Défis et perspectives de la surveillance vidéo et de lanalyse dimages par drones
Conference on Computer vision robot, Montreal,
March 2014
Video surveillance and UAV's: challenges and future works" (Invited Talk)
Centre de recherche en informatique de Montréal (CRIM)
Arpil 2013
Video Analytics: Extracting High-Level Information Based on Low-level Image Features.
Workshop du Centre de recherche sur les environnements intelligents, Sherbrooke
May 2013
Digital Imagery Applied to Intelligent Environments
Jimei University, Jimei China
October 2014
The western world in 30 minutes
Xiamen University, Xiamen China
September 2014
Meta-Tracking for Video Scene Understanding.
Université de Liège, Liège
June 2014
Video Analytics: Extracting High-Level Information Based on Low-level Image Features
Xiamen University, Xiamen China
October 2014
Graph-cut and its applications in Computer vision
Otto-von-Guericke University, Margdegurg Germany
July 2012
Tutorial on Spectral clustering
Otto-von-Guericke University, Margdegurg Germany
July 2012
Video Analytics: Extracting High-Level Information Based on Low-level Image Features
National Research Council, Ottawa
February 2012
ChangeDetection.net: a Novel Dataset for Change Detection Benchmarking
École polytechnique de Montréal
January 2012
From Bits to Content a Different Approach to Video Analytics
Warner Brothers inc, Montreal
June 2012
L'imagerie numérique au département d'informatique de l'Université de Sherbrooke
IEEE CVPR Change detection workshop, Rhode Island USA
June 2012
Opening talk and results of the challenge. (Plenary session)
IEEE Conference on Intelligent Computing and Intelligent Systems, Guangzhou China
November 2011
From Bits to Content a Different Approach to Video Analytics (Plenary session)
Chinese Academy of Science, Shenzhen China
November 2011
From Bits to Content a Different Approach to Video Analytics
Xiamen University, Xiamen China
November 2011
From Bits to Content a Different Approach to Video Analytics
