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.
CV
Education
Ph.D. in Computer Science (Joint Ph.D.), Université de Sherbrooke / INSA Lyon, 2020-2024
Subject: Deep manifold learning for improved high blood pressure characterization using echocardiography
Supervisors: Pierre-Marc Jodoin, Olivier Bernard, Nicolas Duchateau
Link to thesis manuscript | Link to thesis defense recordingM.Sc. in Computer Science, Université de Sherbrooke, 2019-
Subject: Segmentation of MRI and ultrasound cardiac medical images with anatomical guarantees
Supervisor: Pierre-Marc JodoinB.Sc. in Computer Science, Université de Sherbrooke, 2016-2019
Work Experience
Postdoctoral researcher, CREATIS (INSA Lyon) / LIX (École polytechnique) / ICube (Université de Strasbourg), 2024-
Subject: Multimodal learning on graphs and clinical data for pulmonary embolism risk stratification models Supervisors: Odyssée Merveille, Johannes Lutzeyer, Thomas LampertInvited student researcher, CREATIS, Summer 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 ScienceScientific distinction, December 2023
INSA LyonLouis-Berlinguet “Relève étoile” Award, April 2023
Fonds de Recherche - Nature et Technologies (FRQNT)Canada Graduate Scholarship – Doctorate (CGS D), 2021-2024
Natural Sciences and Engineering Research Council of Canada (NSERC)Doctoral training scholarship, 2021-2025
Fonds de Recherche - Nature et Technologies (FRQNT)Hydro-Québec merit scholarship (declined), 2021-2024
Université de SherbrookeScholarship for Doctoral level study, 2020-2022
Fondation ArbourR3D Conseil inc. scholarship, 2020
Université de Sherbrooke, Department of Computer ScienceAlexander Graham Bell Canada Graduate Scholarship - Master’s (CGS M), 2019-2020
Natural Sciences and Engineering Research Council of Canada (NSERC)Master’s training scholarship, 2019-2021
Fonds de Recherche - Nature et Technologies (FRQNT)Graduate studies merit scholarship (declined), 2019-2021
Université de SherbrookeCanada Graduate Scholarships – Michael Smith Foreign Study Supplements (CGS-MSFSS), 2019
Natural Sciences and Engineering Research Council of Canada (NSERC)Gérard-Houdeville award, 2019
Université de Sherbrooke, Department of Computer Science
Publications
Journal Papers
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
Teaching
Teaching Assistant
Service and Volunteer Work
Scientific committee, Deep Learning for Medical Imaging School (DLMI), 2021-
Partner institutions: CREATIS, Université de Sherbrooke, École de technologie supérieure (ETS)
Duties included: Deciding on the program of the school, preparing administrative and scientific content (video tutorials, interactive exercises, etc.), organizing and moderating hands-on sessionsVolunteer 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 ofScholarships applications support, Université de Sherbrooke, 2021-2022
Duties included: Helping graduate students prepare their scholarships applicationsMedical imaging student committee, Université de Sherbooke, 2020-2021
Duties included: Organizing events for the community of graduate students in medical imagingStudent representative for promotional events, Université de Sherbrooke, 2018-2021
Duties included: Recruitment of prospective students