CV

• Education
• Scholarships & Awards
• Publications
  • Journal Papers
  • Conference Papers
• Reviews
• Talks
• Teaching
  • Seasonal Schools
  • Teaching Assistant
• Work Experience
• Service and Volunteer Work

Education

• 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

• B.Sc. in Computer Science, Université de Sherbrooke, 2016-2019
  Mention: Valedictorian

Professional Research Experience

• Postdoctoral researcher, CREATIS (INSA Lyon) / LIX (École polytechnique) / ICube (Université de Strasbourg), 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.

• 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

Scholarships & Awards

• 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.

• 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.

• Canada Graduate Scholarships – Michael Smith Foreign Study Supplements (CGS-MSFSS), 2019
  Natural Sciences and Engineering Research Council of Canada (NSERC)
  50% acceptance rate within the CGS M laureates.

• Gérard-Houdeville award, 2019
  Université de Sherbrooke, Department of Computer Science
  Undergraduate valedictorian for the B.Sc. in computer science.

Publications

Journal Papers

Neural Teleportation

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.

Echocardiography Segmentation With Enforced Temporal Consistency

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.

Cardiac Segmentation with Strong Anatomical Guarantees

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.

Conference Papers

Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?

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.

On the effectiveness of GAN generated cardiac MRIs for segmentation

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.

Cardiac MRI Segmentation with Strong Anatomical Guarantees

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.

Reviews

Reviewer for top-tier journals in artificial intelligence and medical imaging:

• IEEE Transactions on Pattern Analysis and Machine Intelligence
• IEEE Transactions on Medical Imaging
• Artificial Intelligence in Medicine
• IEEE Transactions on Biomedical Engineering
• IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
• Scientific Reports

Talks

Good Coding Practices in Deep Learning for Medical Imaging Projects

March 19, 2025

Tutorial at IABM 2025, Nice (France)

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification

October 02, 2024

Scientific Paper Presentation at Multimodal Learning and Information Fusion Meet-up of the GdR IASIS, 4th edition, Paris (France)

Deep manifold learning for improved high blood pressure characterization using echocardiography

May 06, 2024

PhD Thesis Defense at Université de Sherbrooke / INSA Lyon, Villeurbanne (France)

Turbocharge Machine Learning application development with Lightning and Hydra

March 14, 2023

Tutorial at CLUB des développeurs, Lyon (France)

Teaching

Seasonal Schools

Deep Learning for Medical Imaging (DLMI)

Teaching Assistant

Data structures

Compilers and interpreters

Analysis and programming

Concurrent processes and parallelism

Neural networks

Functional programming

Exploitation of relational and OO databases

Service and Volunteer Work

• Volunteer for the conference, Colloque Français d’Intelligence Artificielle en Imagerie Biomédicale (IABM), March 2025
  Duties included: Administrative and manual labor during the conférence, such as: setting up the venue, greeting attendees, etc.

• Volunteer for the conference, Functional Imaging and Modeling of the Heart (FIMH), June 2023
  Duties included: Administrative and manual labor during the conférence, such as: recording of keynote and oral presentations, setting up the venue, greeting attendees, etc.

• Organizer of a doctoral symposium for Ph.D. students, CREATIS, 2022
  Duties included: Communication with the participants (call for presentations, etc.), preparing the schedule, preparing the location and material (checking material for the presentations, testing auditorium setup, etc.), and coordinating the presentations on the day of

• Scholarships applications support, Université de Sherbrooke, 2021-2022
  Duties included: Helping graduate students prepare their scholarships applications

• Medical imaging student committee, Université de Sherbooke, 2020-2021
  Duties included: Organizing events for the community of graduate students in medical imaging

• Student representative for promotional events, Université de Sherbrooke, 2018-2021
  Duties included: Recruitment of prospective students