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SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury

Muni Venkata Naga Karthik Enamundram, Jan Valošek, Lynn Farner, Dario Pfyffer, Simon Schading, Anna Lebret, Gergely Dávid, Andrew C. Smith, Kenneth A. Weber, Maryam Seif, Patrick Freund and Julien Cohen-Adad

Paper (2024)

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Department: Department of Electrical Engineering
PolyPublie URL: https://publications.polymtl.ca/62695/
Conference Title: 3rd International Workshop on Applications of Medical Artificial Intelligence (AMAI 2024/MICCAI 2024)
Conference Location: Marrakesh, Morocco
Conference Date(s): 2024-10-06
Journal Title: Lecture notes in computer science
Publisher: Springer Science+Business Media
DOI: 10.1007/978-3-031-82007-6_19
Official URL: https://doi.org/10.1007/978-3-031-82007-6_19
Date Deposited: 14 Feb 2025 09:49
Last Modified: 20 Aug 2025 11:26
Cite in APA 7: Enamundram, M. V. N. K., Valošek, J., Farner, L., Pfyffer, D., Schading, S., Lebret, A., Dávid, G., Smith, A. C., Weber, K. A., Seif, M., Freund, P., & Cohen-Adad, J. (2024, October). SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury [Paper]. 3rd International Workshop on Applications of Medical Artificial Intelligence (AMAI 2024/MICCAI 2024), Marrakesh, Morocco. Published in Lecture notes in computer science. https://doi.org/10.1007/978-3-031-82007-6_19

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