Publications
MEDomicsLab publications are curated for lab-specific outputs. For a broader view of Martin Vallières’ work, see Google Scholar.
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
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
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
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
Graph Attention Network for Prostate Cancer Lymph Node Invasion Prediction
Maxence Larose, Nicolas Raymond, Martin Vallières
Quebec Bioimaging Network 2022
Machine learning strategies to predict late adverse effects in childhood acute lymphoblastic leukemia survivors
Nicolas Raymond, Hakima Laribi, Mehdi Mitiche, Martin Vallières
arXiv