Muni Venkata Naga Karthik Enamundram, Jan Valošek, Andrew C. Smith, Dario Pfyffer, Simon Schading-Sassenhausen, Lynn Farner, Kenneth A. Weber, Patrick Freund et Julien Cohen-Adad
Article de revue
(2024)
 Document en libre accès chez l'éditeur officiel |
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Département: |
Institut de génie biomédical
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Centre de recherche: |
NeuroPoly - Laboratoire de Recherche en Neuroimagerie
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Organismes subventionnaires: |
Canada Research Chair in Quantitative Magnetic Resonance Imaging, Canadian Institutes of Health Research, Canada Foundation for Innovation, Fonds de Recherche du Québec-Santé, Natural Sciences and Engineering Research Council of Canada, Canada First Research Excellence Fund (IVADO and TransMedTech), Courtois NeuroMod project, Quebec BioImaging Network, INSPIRED (Spinal Research, United Kingdom; Wings for Life, Austria; Craig H. Neilsen Foundation, United States), Mila-Tech Transfer Funding Program, Association Française contreles Myopathies, Institut pour la Recherche sur la Moelle épinière et l’Encéphale, National Institutes of Health Eunice Kennedy Shriver National Institute of Child Health and Development, Fonds de Recherche du Québec Nature and Technologie (FRQNT) Doctoral Training Scholarship (B2X), FRQNT Strategic Clusters Program, Centre UNIQUE–Union Neurosciences & Artificial Intelligence–Quebec, European Union’s Horizon Europe research and innovation program, Ministry of Health of the Czech Republic, National Institutes of Health, Boettcher Foundation’s Webb-Waring Biomedical Research Program, Swiss National Science Foundation
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Numéro de subvention: |
CRC-2020-00179, PJT-190258, 32454, 34824, 322736, 324636, RGPIN-2019-07244, 5886, 35450, R03HD094577, 2020-RS4-265502, 101107932, NU22-04-00024, K01HD106928, R01NS128478, K23NS104211, L30NS108301, R01NS128478, 32003B_204934, P500PM_214211, R01NS109450
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URL de PolyPublie: |
https://publications.polymtl.ca/59871/
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Titre de la revue: |
Radiology Artificial Intelligence
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Maison d'édition: |
Radiological Society of North America
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DOI: |
10.1148/ryai.240005
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URL officielle: |
https://doi.org/10.1148/ryai.240005
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Date du dépôt: |
19 nov. 2024 11:21
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Dernière modification: |
20 août 2025 11:25
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Citer en APA 7: |
Enamundram, M. V. N. K., Valošek, J., Smith, A. C., Pfyffer, D., Schading-Sassenhausen, S., Farner, L., Weber, K. A., Freund, P., & Cohen-Adad, J. (2024). SCIseg: Automatic Segmentation of Intramedullary Lesions in Spinal Cord Injury on T2-weighted MRI Scans. Radiology Artificial Intelligence, 3 pages. https://doi.org/10.1148/ryai.240005
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