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The MEDomics UdeS research laboratory, led by Professor Martin Vallières at the Université de Sherbrooke, has been focused on the creation of predictive models in health informatics since its founding in 2020.
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Martin Vallières, Ph. D.
Martin Vallières is an assistant professor in the Department of Computer Science at the Université de Sherbrooke since 2020.
Martin Vallières’ profile
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Latest News
News : Publication of the article “ Electric Power Fuse Identification With Deep Learning ”.
Congratulations to Maxence Larose and Martin Vallières for the publication of their paper entitled « Electric Power Fuse Identification With Deep Learning » in IEEE Transactions on Industrial Informatics. Article can be found at : https://ieeexplore.
Simon Giard-Leroux
,
Guillaume Cléroux
,
Shreyas Sunil Kulkarni
,
Martin Vallières
Last updated on 2025-03-03
1 min read
News : Publication of the article “ Multi-task Bayesian Model Combining FDG-PET/CT Imaging and Clinical Data for Interpretable High-Grade Prostate Cancer Prognosis ”.
Congratulations to Maxence Larose and Martin Vallières for the publication of their paper entitled « Multi-task Bayesian Model Combining FDG-PET/CT Imaging and Clinical Data for Interpretable High-Grade Prostate Cancer Prognosis » in Nature Scientific Reports.
Maxence Larose
,
Nicolas Raymond
,
Martin Vallières
Last updated on 2025-03-03
1 min read
News: Mahdi Ait Lhaj Loutfi successfully defended his thesis!
Congratulations to Mahdi Ait Lhaj Loutfi for having successfully completed his thesis defense with the mention of excellence! The members of the laboratory gathered at the restaurant Pizzicato, and then at Sher-Mont for a bowling game to celebrate his success.
Mahdi Ait Lhaj Loutfi
Last updated on 2025-03-03
1 min read
News : Publication of the article “ Leveraging patients’ longitudinal data to improve the Hospital One-year Mortality Risk ” on arXiv.
Congratulations to Hakima Laribi and Martin Vallières for the publication of their paper entitled « Leveraging patients’ longitudinal data to improve the Hospital One-year Mortality Risk » to medRXiv.Currently under revision by Health Information Science and Systems, the authors also deposited their work on the medRXiv platform to accelerate the sharing of their research results with the scientific community.
Hakima Laribi
,
Nicolas Raymond
,
Martin Vallières
Last updated on 2025-03-03
1 min read
News : Publication of the article “ Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling ” on arXiv.
Congratulations to Mahdi Ait Lhaj Loutfi and Martin Vallières for the publication of their paper entitled « Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling » to arXiv.
Mahdi Ait Lhaj Loutfi
,
Teodora Boblea Podasca
,
Martin Vallières
Last updated on 2025-03-03
1 min read
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Upcoming and Recent Events
Thesis Defense: Analyzing the complexity of radiomics: Approaches for simplified modeling
Mahdi Ait Lhaj Loutfi’s Thesis Defense
2024-08-20 10:00 — 12:00
Local D4-2011, Faculté des sciences, Université de Sherbrooke
Mahdi Ait Lhaj Loutfi
Thesis Defense: Renal tumors classification using magnetic resonance imaging in a multitasking learning context.
Alexandre Ayotte’s Thesis Defense
2023-04-20 14:00 — 16:00
Local D4-2011, Faculté des sciences, Université de Sherbrooke
Alexandre Ayotte
Thesis Defense: Machine learning strategies to predict late adverse effects in childhood acute lymphoblastic leukemia survivors
Nicolas Raymond’s Thesis Defense
2022-12-09 14:00 — 16:00
Local D4-2011, Faculté des sciences, Université de Sherbrooke
Nicolas Raymond
Thesis Defense: Electric Power Fuse Identification with Deep Learning
Simon Giard-Leroux’s Thesis Defense
2022-09-09 14:00 — 16:00
Local D4-2011, Faculté des sciences, Université de Sherbrooke
Simon Giard-Leroux
Event: Departure dinner in Clarisse's honor!
Several members of the laboratory met at the Siboire on August 12 in honor of the end of the internship of Clarisse Cheng who came to spend her summer in Quebec with us.
2022-08-12
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