Centre Hospitalier Universitaire de Sherbrooke
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.
2024 · 255 Zit.
Speech Recognition for Medical Dictation: Overview in Quebec and Systematic Review
Thomas G. Poder, Jean‐François Fisette, Véronique Déry
2018 · 27 Zit.
CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data
Louis Mullie, Jonathan Afilalo, Patrick Archambault et al.
2023 · 17 Zit.
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Maximilian Zenk, Ujjwal Baid, Sarthak Pati et al.
2025 · 7 Zit.
A Practical Roadmap to Implementing Deep Learning Segmentation in the Clinical Neuroimaging Research Workflow
Marco Pérez Cáceres, Alexandre Gauvin, Félix Dumais et al.
2024 · 2 Zit.
Consent: radiologists' dilemma about contrast media.
Lucie Brazeau-Lamontagne, Georges A. Legault
1993 · 1 Zit.
Ability of AI detection tools and humans to accurately identify different forms of AI-generated written content
Adam Cheng, Yiqun Lin, Gabriel Reedy et al.
2025 · 1 Zit.
Additional file 1 of Ability of AI detection tools and humans to accurately identify different forms of AI-generated written content
Adam Cheng, Yiqun Lin, Gabriel Reedy et al.
2025 · 0 Zit.
Additional file 1 of Ability of AI detection tools and humans to accurately identify different forms of AI-generated written content
Adam Cheng, Yiqun Lin, Gabriel Reedy et al.
2025 · 0 Zit.
Biobanque québécoise de la COVID-19 (BQC19), a COVID-19 biobank to support Canadian health research
Mehrnoosh Doroudchi, Simon Rousseau, Daniel Auld et al.
2025 · 0 Zit.
Optimizing renal mass histology prediction with artificial intelligence using handcrafted radiomics
Teodora Boblea Podasca, Mahdi Ait Lhaj Loutfi, Marc-Antoine Blais et al.
2026 · 0 Zit.