Liste des lauréats

Concours Été 2023

Sandrine Bédard, Génie biomédical, Polytechnique Montréal

Contrast-agnostic segmentation of the spinal cord using deep learning

2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, Canada, du 3 au 8 juin 2023

Superviseur: Julien Cohen-Adad

Renaud Bernatchez, Département de biochimie, de microbiologie et de bio-informatique, Université Laval

Crowdsourcing a rich dataset for the development of new neuroscience image analysis tools

International Conference On Nanoscopy, Jena, Germany, du 4 au 6 septembre 2023

Superviseur.e.s: Flavie Lavoie-Cardinal & Audrey Durand

Shawn Manuel, Département de psychiatrie et d’addictologie, Université de Montréal

Quantifying High Level Representations Using Verbal Reports and Natural Language Processing

Computational Psychiatry Conference, Dublin, Ireland, du 6 au 8 juillet 2023

Superviseur: Vincent Taschereau-Dumouchel

Charlotte Maschke, Integrated Program in Neuroscience, McGill University

Outcome prediction after cardiac arrest using machine learning and network dynamics of resting state eeg

Computing in Cardiology 2023, Atlanta, Georgia, USA, du 1er au 4 octobre 2023

Superviseur.e: Stefanie Blain-Moraes & Karim Jerbi

Filip Milisav, Integrated Program in Neuroscience, McGill University

Hierarchical modularity optimizes memory capacity near criticality in echo state networks

NetSci 2023 (International School and Conference on Network Science), Vienna, Austria, du 10 au 14 juillet 2023

Superviseur: Bratislav Misic

Quentin Moreau, Département de psychiatrie et d’addictologie, Université de Montréal

Transcranial random-noise stimulation in human-machine social interactions

Joint Action Meeting (JAM), Budapest, Hungary, du 10 au 12 juillet 2023

Superviseur: Guillaume Dumas

Concours Automne 2022/Hiver 2023

Jonathan Cornford, Department of Neurology and Neurosurgery, McGill University

Exploring learning in neural networks with brain-inspired geometries

Neuroscience 2022, San Diego, USA, November 12-16, 2022

Superviseur: Richard Blake

Naga Karthik Enamundram, Institut de génie biomédical, Polytechnique Montréal

Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?

Neural Information Processing Systems, New Orleans, USA, November 29-December, 2022

Superviseur.e.s: Julien Cohen Adad & Farida Cheriet

Daniel Levenstein, Department of Neurology and Neurosurgery, McGill University

A predictive learning model for autonomously generated replay in the hippocampus

Neuroscience 2022, San Diego, USA, November 12-16, 2022

Superviseurs: Richard Blake & Adrien Peyrache

Sarthak Mittal, Département d’informatique et de recherche opérationnelle, Université de Montréal

Is a Modular Architecture Enough?

Neural Information Processing Systems, New Orleans, USA, November 28 – December 9, 2022

Superviseurs: Guillaume Lajoie & Yoshua Bengio

Concours été 2022

Frédéric Beaupré, Département de biochimie, de microbiologie et de bio-informatique, Université Laval

Detection and localization of synaptic anomalies using deep learning and super-resolution STED microscopy

Optics and Photonics in Medicine and Biology: Exploring the Role of Machine Learning in the Future of Biophotonics (Gordon Research Seminar), Lewiston, USA, July 9-10, 2022

Superviseur.e.s: Christian Gagné & Flavie Lavoie-Cardinal

Nikhil Bhagwat, Department of Neurology and Neurosurgery, McGill University

Assessment of brain-age prediction on longitudinal structural MR imaging data

Organization for Human Brain Mapping annual meeting (OHBM), Glasgow, Scotland, June 19-23, 2022

Superviseur: Jean-Baptiste Poline

Anthony Bilodeau, Département de biochimie, de microbiologie et de bio-informatique, Université Laval

Microscopy analysis neural network to solve detection, enumeration, and segmentation from image-level annotations

Optics and Photonics in Medicine and Biology: Exploring the Role of Machine Learning in the Future of Biophotonic (Gordon Research Seminar), Lewiston, USA, July 9-10, 2022

Superviseur.e.s: Flavie Lavoie-Cardinal & Audrey Durand

Catherine Bouchard, Département de génie électrique et de génie informatique, Université Laval

Generative Adversarial Network Assisted Super-Resolution Imaging

Optics and Photonics in Medicine and Biology: Exploring the Role of Machine Learning in the Future of Biophotonic (Gordon Research Seminar), Lewiston, USA, July 9-10, 2022

Superviseur.e.s:Christian Gagné & Flavie Lavoie-Cardinal
(Subvention déclinée par la lauréate)

Joshua Durso-Finley, Department of Electrical and Computer Engineering, McGill University

Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI

Medical Imaging with Deep Learning (MIDL), Zurich, Switzerland, July 6-8, 2022

Superviseure: Tal Arbel

Naga Karthik Enamundram, Génie biomédical, Polytechnique Montréal

Automatic segmentation of hyperintense lesions in acute spinal cord injury from T2-weighted MRI scans

Quebec Bio-Imaging Network Scientific Day 2022, Sherbrooke, Canada, June 2, 2022

Superviseur: Julien Cohen-Adad

Ziqi Hao, Medicine, McGill University

Deep Learning for Brain Extraction from a Small and Diverse Dataset of Primate MRI

Organization for Human Brain Mapping annual meeting (OHBM), Glasgow, Scotland, June 19-23, 2022

Superviseur: Amir Shmuel

Dongyan Lin, Integrated Program in Neuroscience, McGill University

Heterogeneous Representations of Variables in Task-Optimized DRL Agents Depend on Task-Relevance

The 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2022), Providence, RI, USA, June 8-11, 2022

Superviseur: Blake Richards

Laura Suarez, Neurology and neurosurgery, McGill University

Conn2res: a toolbox for connectome-based reservoir computing

Organization for Human Brain Mapping annual meeting (OHBM), Glasgow, Scotland, June 19-23, 2022

Superviseurs: Bratislav Misic & Guillaume Lajoie

Concours Hiver 2020

Anthony G.X. Chen, Computer Science, McGill University
From Neuroscience to Artificially Intelligent Systems (NAISys) Conference. Cold Spring Harbor Laboratory. NY, USA. March 24-28, 2020.
Superviseurs: Blake Richards & Joelle Pineau
(Subvention déclinée par le lauréat) 

Raymond Chua, Computer Science, McGill University
From Neuroscience to Artificially Intelligent Systems (NAISys) Conference, Cold Spring Harbor Laboratory. NY, USA. March 24-28, 2020.
Superviseur.e.s: Doina Precup & Blake Richards
(Subvention déclinée par le lauréat) 

Victor Geadah, Département de Mathématiques et de statistique, Université de Montréal
Computational and Systems Neuroscience (Cosyne) 2020. Denver, CO, USA. February 27- March 1, 2020,
Superviseur: Guillaume Lajoie
(Subvention déclinée par le lauréat) 

Samuel Laferriere Cyr, Département d'informatique et de recherche opérationnelle, Université de Montréal
From Neuroscience to Artificially Intelligent Systems (NAISys), Cold Spring Harbor Laboratory. NY, USA. March 24-28, 2020.
Superviseurs: Guillaume Lajoie et Blake Richards
(Subvention déclinée par le lauréat) 

 Ardavan Salehi Nobandegani, Psychology, McGill University
34th AAAI Conference on Artificial Intelligence (AAAI 2020). NY, USA. February 7-12, 2020.
Superviseur: Thomas R. Shultz

Olivier Vincent, Institut de génie biomédical, Polytechnique Montréal
7th Spinal Cord MRI Workshop, University College London. London, United Kingdom. January 20-21, 2020.
Superviseur.e.s: Julien Cohen-Adad & Sarah Lippé