Assistant professor qualification, Conseil National des Universités (CNU), 2025-2029
Sections 27 (Computer science) and 61 (Computer engineering, automation and signal processing)
Postdoctoral researcher, CREATIS (INSA Lyon), Nov. 2024 - Present
Subject: Multimodal learning on graphs and clinical data for pulmonary embolism risk stratification models
Supervisors: Odyssée Merveille, Johannes Lutzeyer, Thomas Lampert
Research Engineer, CREATIS (INSA Lyon), June-Aug. 2024
Objective: Finalizing a research paper started during my thesis.
Ph.D. in Computer Science (Joint Ph.D.), Université de Sherbrooke / INSA Lyon, Sept. 2020 - May 2024
Mention: Summa cum laude
Subject: Deep manifold learning for improved high blood pressure characterization using echocardiography
Supervisors: Pierre-Marc Jodoin, Olivier Bernard, Nicolas Duchateau
Links to thesis manuscript: Savoir UdeS | HAL Theses
M.Sc. in Computer Science, Université de Sherbrooke, May 2019 -
Subject: Segmentation of MRI and ultrasound cardiac medical images with anatomical guarantees
Supervisor: Pierre-Marc Jodoin
Invited student researcher, CREATIS, May-July 2019
Subject: Generalizing an anatomically-consistent segmentation method, first developed for cardiac cine-MRI, to echocardiography
Supervisor: Olivier Bernard
B.Sc. in Computer Science, Université de Sherbrooke, 2016-2019
Mention: Valedictorian
Best Doctoral Thesis Award - Medicine and Health Sciences, April 2025
Université de Sherbrooke
Annual award in each of the three major research areas: Natural sciences and engineering, health sciences and arts, and humanities and social sciences.
Honor roll, October 2024
Université de Sherbrooke, Faculty of Science
Annual honor roll for graduate students at the Faculty of Science.
Scientific distinction, December 2023
INSA Lyon
One (1) of 18 annual distinctions.
Louis-Berlinguet “Relève étoile” Award, April 2023
Fonds de Recherche - Nature et Technologies (FRQNT)
One (1) award a month across Quebec for high-quality, high-impact publications by young researchers in/from Quebec.
Gérard-Houdeville award, 2019
Université de Sherbrooke, Department of Computer Science
Undergraduate valedictorian for the B.Sc. in computer science.
Thesis funding by competitive examination, 2022-2023
LabEx PRIMES
52 thesis funded out of 100+ submitted proposals.
Doctoral training scholarship, 2021-2025
Fonds de Recherche - Nature et Technologies (FRQNT)
5th out of 31 candidates across Quebec that year.
Canada Graduate Scholarship – Doctorate (CGS D), 2021-2024
Natural Sciences and Engineering Research Council of Canada (NSERC)
39th out of 160 candidates across Canada that year.
Scholarship for Doctoral level study, 2020-2022
Fondation Arbour
10% acceptance rate for this one-year private scholarship (2020-2021), renewable once (2021-2022).
R3D Conseil inc. scholarship, Nov. 2020
Université de Sherbrooke, Department of Computer Science
One (1) scholarship awarded each year by the Department of Computer Science.
Master’s training scholarship, 2019-2021
Fonds de Recherche - Nature et Technologies (FRQNT)
1st out of 17 candidates across Quebec that year.
Alexander Graham Bell Canada Graduate Scholarship - Master’s (CGS M), 2019-2020
Natural Sciences and Engineering Research Council of Canada (NSERC)
30% acceptance rate.
N. Painchaud, P.-Y. Courand, P.-M. Jodoin, N. Duchateau, and O. Bernard, "Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification," IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 72, no. 10, pp. 1388-1400, Oct. 2025.
M. Armenta, T. Judge, N. Painchaud, Y. Skandarani, C. Lemaire, G. G. Sanchez, P. Spino, and P.-M. Jodoin, "Neural Teleportation," Mathematics, vol. 11, no. 2, pp. 480, Jan. 2023.
N. Painchaud, N. Duchateau, O. Bernard, and P.-M. Jodoin, "Echocardiography Segmentation With Enforced Temporal Consistency," IEEE Transactions on Medical Imaging, vol. 41, no. 10, pp. 2867–2878, Oct. 2022.
N. Painchaud, Y. Skandarani, T. Judge, O. Bernard, A. Lalande, and P.-M. Jodoin, "Cardiac Segmentation with Strong Anatomical Guarantees," IEEE Transactions on Medical Imaging, vol. 39, no. 11, pp. 3703–3713, Nov. 2020.
N. Painchaud, P.-Y. Courand, P.-M. Jodoin, N. Duchateau, and O. Bernard, "Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification," presented at Medical Imaging with Deep Learning (MIDL), 2024.
H. J. Ling, N. Painchaud, P.-Y. Courand, P.-M. Jodoin, D. Garcia, and O. Bernard, "Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?," in proc. Functional Imaging and Modeling of the Heart (FIMH), 2023, pp. 245-254.
Y. Skandarani, N. Painchaud, P.-M. Jodoin, and A. Lalande, "On the effectiveness of GAN generated cardiac MRIs for segmentation," presented at Medical Imaging with Deep Learning (MIDL), 2020.
N. Painchaud, Y. Skandarani, T. Judge, O. Bernard, A. Lalande, and P.-M. Jodoin, "Cardiac MRI Segmentation with Strong Anatomical Guarantees," in proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019, pp. 632–640.
Reviewer for top-tier journals in artificial intelligence and medical imaging:
Lecture at DLMI 2025, Villeurbanne (France)
Tutorial at IABM 2025, Nice (France)
National Conference Oral Presentation at Multimodal Learning and Information Fusion Meet-up of the GdR IASIS, 4th edition, Paris (France)
PhD Thesis Defense at Université de Sherbrooke / INSA Lyon, Villeurbanne (France)
Tutorial at CLUB des développeurs, Lyon (France)
Seminar at Philips Research Paris, Suresnes (France)