Colloque REPARTI 2021: Wednesday, June 16, 2021, 9h00 – 11h00, on Zoom.*

Colloque REPARTI 2021: Wednesday, June 16, 2021, 9h00 – 11h00, on Zoom.*

A keynote presentation, followed by a series of short presentations, offered by researchers and students from the member institutions of REPARTI, will allow you to learn more about the research projects and initiatives carried out by REPARTI members. Here is the detailed program which includes the titles of all of the presentations:

Colloque REPARTI 2021 Program

*To obtain the Zoom meeting web link, please contact:
Annette.Schwerdtfeger@gel.ulaval.ca

REPARTI Webinar: Catherine Laporte, April 22, 2021, 12:00 – 1:00 p.m.

REPARTI Webinar:  Ultrasound imaging: let’s talk

Catherine Laporte
Laboratoire de traitement de l’information en santé (LATIS)
École de technologie supérieure (ÉTS)

April 22, 2021, 12:00 – 1:00 p.m.

Abstract

Ultrasound imaging is the fastest growing commercial sector in the medical imaging industry. Non-invasive and highly versatile, ultrasound also allows real-time imaging and is becoming increasingly portable and affordable, which paves the way for a growing number of new applications and users. However, ultrasound images remain difficult to interpret and acquire. My research aims to make ultrasound imaging easier to use for new applications and new users. This presentation will provide an overview of different aspects of my work that are related to this general objective, with an emphasis on my work applied to the study of articulatory phonetics.

The presentation will be given in English and the slides will be in French.

Catherine Laporte is a professor of electrical engineering at École de technologie supérieure since 2010. Her expertise lies in the area of medical image analysis, with a special focus on ultrasound imaging. Her current research aims at improving the usability of ultrasound imaging for new users and new applications. Previously, she obtained her M. Eng. and Ph.D. in computer engineering at McGill University’s Centre for Intelligent Machines, supervised by T. Arbel, and her B. Eng. degree at Polytechnique Montréal.

Zoom Meeting
To obtain the Zoom meeting web link, please contact:
Annette.Schwerdtfeger@gel.ulaval.ca

REPARTI Webinar: Jean-François Lalonde, March 29, 2021, 12:00 – 1:00 p.m.

REPARTI Webinar:  Understanding the world behind the image

Jean-François Lalonde
Laboratoire de Vision et Systèmes Numériques (LVSN)
Dép. de génie électrique et de génie informatique, Université Laval

March 29, 2021, 12:00 – 1:00 p.m.

Abstract

Images are formed through a series of interactions between light, surfaces in the scene (according to their geometry and reflectance) and, ultimately, the camera. Accurate physical models of these interactions exist, but have seen limited applicability in real-world conditions, outside the lab. Because of this, a large fraction of computer vision research treats images as 2D pixel arrays without regard to how they were formed.

In this talk, I instead advocate for the idea of reasoning about the real world behind the image and explicitly consider these light-geometry-camera interactions. To do so, we propose algorithms that understand the 3D geometry, lighting, surface reflectance, and even the camera itself from images. The key idea is to combine physics-based models and machine learning techniques in order to better model, understand, and recreate the richness of our visual world.

The presentation will be given in French and the slides will be in English.

Jean-François Lalonde, Ph.D., is an Associate Professor in the Faculty of Science and Engineering at Université Laval, in the Department of Electrical and Computer Engineering. He is a member of the Institute Intelligence and Data (IID), the Big Data Research Center (CRDM), and the Research Center on Vision, Robotics and Machine Intelligence (CeRVIM) at Université Laval. Previously, he was a Post-Doctoral Associate at Disney Research, Pittsburgh. He received a Ph.D. in Robotics from Carnegie Mellon University in 2011. His thesis, titled Understanding and Recreating Appearance under Natural Illumination, won the CMU School of Computer Science Distinguished Dissertation Award. His research interests lie at the intersection of computer vision, computer graphics, and machine learning.  In particular, he is interested in exploring how physics-based models and data-driven machine learning techniques can be unified to better understand, model, interpret, and recreate the richness of our visual world. His group has captured and published the largest datasets of indoor and outdoor high dynamic range illumination images, freely available for research. He is actively involved in bringing research ideas to commercial products, as demonstrated by his several patents, technology transfers with large companies such as Adobe and Facebook, and involvement with startups including Geomagical Labs (San Francisco, acquired by IKEA) and TandemLaunch (Montreal).

Zoom Meeting
To obtain the Zoom meeting web link, please contact:
Annette.Schwerdtfeger@gel.ulaval.ca

REPARTI Webinar: Maxime Descoteaux, February 16, 2021, 12:00 – 1:00 p.m.

REPARTI Webinar:  A journey on your brain highways:  diffusion MRI and connectomics of the future

Maxime Descoteaux
Sherbrooke Connectivity Imaging Lab (http://scil.usherbrooke.ca/)
Dép. d’informatique, Université de Sherbrooke

February 16, 2021, 12:00 – 1:00 p.m.

Abstract

Diffusion magnetic resonance imaging is based on the Brownian motion of the water molecules in biological tissue. In this talk, I will briefly present diffusion imaging for the purpose of quantifying the integrity of white matter and its connectivity via tractography. I will present in a didactic manner the “connectome”, its importance for neurosciences and brain diseases, so that all REPARTI members will be able to learn something. I will share some personal contributions to the field and give you my vision of the future for connectome imaging in a quantitative and multimodal way.

Your highways are working hard! (connectome metabolism in an Alzheimer’s person)

The presentation will be given in French and the slides will be in English.

Maxime DESCOTEAUX, PhD is a Professor in Computer Science since 2009 in the Faculty of Science of Sherbrooke University. He is the founder and director of the Sherbrooke Connectivity Imaging Laboratory (SCIL) (http://scil.usherbrooke.ca/).  His research focuses on brain connectivity from state-of-the-art diffusion MRI acquisition, reconstruction, tractography, processing and visualization. The aim of the SCIL is to better understand structural connectivity, develop novel tractography algorithms, validate them and use them for human brain mapping and connectomics applications. Maxime Descoteaux was a post-doctoral fellow at NeuroSpin under the supervision of Cyril Poupon and Denis Le Bihan. He also obtained a PhD in Computer Science at INRIA Sophia Antipolis – Mediterranée, supervised by R. Deriche after completing a M.Sc under the supervision of K. Siddiqi in Computer Science at the Center for Intelligent Machines, McGill University, where he also obtained a B.Sc, graduating from the joint honors Mathematics and Computer Science program. Professor Descoteaux holds the USherbrooke Institutional Research Chair in NeuroInformatics. He has been cited more than 8500+ times and has 110+ journal publications, according to google scholar.

Zoom Meeting
To obtain the Zoom meeting web link, please contact:
Annette.Schwerdtfeger@gel.ulaval.ca

REPARTI Workshop 2020

The REPARTI Workshop 2020 (May 26, 2020 at Université Laval), was cancelled due to the current pandemic.

REPARTI Workshop 2019

The morning session included an invited talk given by Prof. John McPhee, University of Waterloo. The afternoon session was devoted to a poster session including 35 posters and 2 demos presenting research results from each of the research themes of REPARTI.

REPARTI Workshop 2019 Program