Publications
MEDomicsLab publications are curated for lab-specific outputs. For a broader view of Martin Vallières’ work, see Google Scholar.
2026
Medical Image Analysis with Machine Learning (MEDiml): Strategies for Simpler Radiomics
Mahdi Loutfi, Simon Provost, Elodie Gillard, Moustafa Amine Bezzahi, Alexander Chum, Ben Coull-Neveu, Juan Duran, Mariem Kallel, Hakima Laribi, Olivier Lefebvre, Nicolas Longchamps, Thanh-Tri Nguyen, Steven Ravary, Ouael Nedjem Eddine Sahbi, Jérémy Dana, Martin Vallières
arXiv
DIGOM: Disentangled Interaction Graphs for Outcome prediction in Multimodal healthcare
Hakima Laribi, Olivier Lefebvre, Dan Poenaru, Martin Vallières
arXiv
Every Edge Needs a Quote: Building a Quote-Grounded Knowledge Graph of Healthcare Software Adoption with Language-Model Agents
Juan Duran, Arthur Tobler, Martin Vallières
arXiv
Reference Manual of MEDiml
Mahdi Loutfi, Simon Provost, Elodie Gillard, Moustafa Amine Bezzahi, Alexander Chum, Ben Coull-Neveu, Juan Duran, Mariem Kallel, Hakima Laribi, Olivier Lefebvre, Nicolas Longchamps, Thanh-Tri Nguyen, Steven Ravary, Ouael Nedjem Eddine Sahbi, Jérémy Dana, Martin Vallières
arXiv
Diagnosing Low-Confidence Patient Profiles via Localized Harmful Covariate Shift Detection
Olivier Lefebvre, Hakima Laribi, Dan Poenaru, Martin Vallières
arXiv
An Agentic Framework for Interrogatable and Interpretable Survival Analysis
Juan Duran, Shirin A. Enger, Martin Vallières
Radiotherapy and Oncology (CARO ASM 2026)
Predictive performance precision analysis in medicine: identification of low-confidence predictions at patient and profile levels (MED3pa I)
Olivier Lefebvre, Ludmila Amriou, Lyna Hiba Chikouche, Martin Vallières
Journal of the American Medical Informatics Association (JAMIA)
Optimizing renal mass histology prediction with artificial intelligence using handcrafted radiomics
Teodora Boblea Podasca, Mahdi Loutfi, Marc-Antoine Blais, Marie-Lou Gadoury-Campbell, Stéphanie Boulet, Martin Vallières, Patrick O. Richard
World Journal of Urology
2024
Multi-task Bayesian Model Combining FDG-PET/CT Imaging and Clinical Data for Interpretable High-Grade Prostate Cancer Prognosis (Journal Article)
Maxence Larose, Nicolas Raymond, Martin Vallières
Nature Scientific Reports
Synthetic Data for Accessible Learning in Healthcare: Improving Mortality Prediction with Longitudinal Data (Preprint)
Hakima Laribi, Nicolas Raymond, Martin Vallières
Research Square
Leveraging patients’ longitudinal data to improve the Hospital One-year Mortality Risk
Hakima Laribi, Nicolas Raymond, Martin Vallières
medRxiv
Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling
Mahdi Loutfi, Teodora Boblea Podasca, Martin Vallières
arXiv
Development of Error Passing Network for Optimizing the Prediction of VO2 peak in Childhood Acute Leukemia Survivors
Nicolas Raymond, Hakima Laribi, Mehdi Mitiche, Martin Vallières
Proceedings of Machine Learning Research
Multi-task Bayesian Model Combining FDG-PET/CT Imaging and Clinical Data for Interpretable High-Grade Prostate Cancer Prognosis (Preprint)
Maxence Larose, Nicolas Raymond, Martin Vallières
medRxiv
2022
Machine learning strategies to predict late adverse effects in childhood acute lymphoblastic leukemia survivors
Nicolas Raymond, Hakima Laribi, Mehdi Mitiche, Martin Vallières
arXiv
Graph Attention Network for Prostate Cancer Lymph Node Invasion Prediction
Maxence Larose, Nicolas Raymond, Martin Vallières
Quebec Bioimaging Network 2022