Marc-Antoine Fortin

Om

Researcher currently working in Machine Learning applied to medical imaging as part of the 180N consortium (Work Package 5: Machine Learning). In this project, we are trying to develop novel Deep Learning (DL) techniques to identify, segment and classify lymphoma lesions.

My PhD project, also performed at NTNU (2021-), focused on developing novel segmentation techniques and neuroimaging at Ultra-High Field MRI (UHF-MRI) for SpinoCerebellar Ataxias as part of the SCAIFIELD consortium.

I have a Master degree in Medical Radiation Physics from McGill University (2019-2021) where I worked on developing a novel technique to indirectly map oxygen levels in tumor environment with quantitative MRI. My bachelor degree in Physics was obtained from Université de Montréal (2016-2019).

Publikasjoner

2025

Fortin, Marc-Antoine; Kristoffersen, Anne Louise; Larsen, Michael Staff; Lamalle, Laurent; Stirnberg, Rüdiger; Goa, Pål Erik. (2025) GOUHFI: A novel contrast- and resolution-agnostic segmentation tool for ultra-high-field MRI. Imaging Neuroscience
Vitenskapelig artikkel
Fortin, Marc-Antoine; Stirnberg, Rüdiger; Völzke, Yannik; Lamalle, Laurent; Pracht, Eberhard; Löwen, Daniel. (2025) MPRAGE<inf>like</inf>: A novel approach to generate T1w images from multi-contrast gradient echo images for brain segmentation. Magnetic Resonance in Medicine
Vitenskapelig artikkel

Tidsskriftspublikasjoner

Fortin, Marc-Antoine; Kristoffersen, Anne Louise; Larsen, Michael Staff; Lamalle, Laurent; Stirnberg, Rüdiger; Goa, Pål Erik. (2025) GOUHFI: A novel contrast- and resolution-agnostic segmentation tool for ultra-high-field MRI. Imaging Neuroscience
Vitenskapelig artikkel
Fortin, Marc-Antoine; Stirnberg, Rüdiger; Völzke, Yannik; Lamalle, Laurent; Pracht, Eberhard; Löwen, Daniel. (2025) MPRAGE<inf>like</inf>: A novel approach to generate T1w images from multi-contrast gradient echo images for brain segmentation. Magnetic Resonance in Medicine
Vitenskapelig artikkel

Formidling

Pint of Science Norway - Invited Speaker

Talk entitled ”Synthetic is the new real: A new paradigm for segmentation of brain MRI images” on AI applications in medical imaging. Presentation aimed at making research accessible to a broad audience. May 2025.

2025

Poster

Kristoffersen, Anne Louise; Unsgård, Runa Geirmundsdatter; Fortin, Marc-Antoine; Kvålsgard, Ingrid Gylterud; Stige, Kjersti Eline; Doan, Thanh Pierre. (2025) Can qMRI Be Utilized for Diagnosis of Parkinson's Disease at 7T?. 41st Annual Scientific Meeting , Marseille 2025-10-08 - 2025-10-10

2024

Poster

Fortin, Marc-Antoine; Stirnberg, Rudiger; Völzke, Yannik; Lamalle, Laurent; Pracht, Eberhard; Löwen, Daniel. (2024) Novel synthetic MPRAGE like contrast from Multi-Parameter Mapping at 7T. ISMRM 2024 , Singapore 2024-05-04 - 2024-05-09
Poster

Fortin, Marc-Antoine; Stirnberg, Rudiger; Völzke, Yannik; Lamalle, Laurent; Pracht, Eberhard; Löwen, Daniel. (2024) High quality brain segmentation from synthetic MPRAGE images at 7T MRI. ISMRM 2024 , Singapore 2024-05-04 - 2024-05-09
Poster

Kristoffersen, Anne Louise; Fortin, Marc-Antoine; Lysheim, Eivind; Unsgård, Runa Geirmundsdatter; Stige, Kjersti Eline; Berntsen, Erik Magnus. (2024) Comparing Brain Structure Volumes in Parkinson’s Disease Patients and Healthy Controls from Automatic Segmentations at 7T MRI. ESMRMB 2024-10-02 - 2024-10-05

2023

Poster

Fortin, Marc-Antoine; Völzke, Yannik; Stirnberg, Rudiger; Sherif, Siya; Lamalle, Laurent; Stöcker, Tony. (2023) High quality brain segmentation from multi-parameter mapping at Ultra-High Field MRI. ISMRM 2023 , Toronto 2023-06-03 - 2023-06-08

Språkvelger

Marc-Antoine Fortin