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null Martin Vallières, PhD

Investigator, RI-MUHC

Cancer Research Program

Associate Professor, Gerald Bronfman Department of Oncology, Faculty of Medicine and Health Sciences, McGill University, McGill University

 

Keywords

medical image analysis • machine learning • graph neural networks • federated learning

Selected Publications

Click on Pubmed to see my current publications list

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.” Radiology vol. 295,2 (2020): 328-338. doi:10.1148/radiol.2020191145. PMID: 32154773.

  • A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities. Vallières M, Freeman CR, Skamene SR, El Naqa I. Phys Med Biol. 2015 Jul 21;60(14):5471-96. doi: 10.1088/0031-9155/60/14/5471. Epub 2015 Jun 29. PMID: 26119045.

  • Leveraging patients' longitudinal data to improve the Hospital One-year Mortality Risk. Laribi H., Raymond N., Taseen R., Poenaru D., Vallières M., Health information science and systems vol. 13,1 23. 4 Mar. 2025, doi:10.1007/s13755-024-00332-4. PMID: 40051409.

  • An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication. Morin, Olivier et al. Nature cancer vol. 2,7 (2021): 709-722. doi:10.1038/s43018-021-00236-2. PMID: 35121948.

  • Development of Error Passing Network for Optimizing the Prediction of VO2 peak in Childhood Acute Leukemia Survivors. Nicolas Raymond N., Laribi H., Caru M., Mitiche M., Marcil V., Krajinovic M., Curnier D., Sinnett D., Vallières M., Proceedings of the fifth Conference on Health, Inference, and Learning, PMLR 248:506-521.