Matej Gazda, Peter Drotar, Liset Vazquez Romaguera and Samuel Kadoury
Paper (2023)
An external link is available for this itemDepartment: | Department of Computer Engineering and Software Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/56081/ |
Conference Title: | 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023) |
Conference Location: | Cartagena, Colombia |
Conference Date(s): | 2023-04-18 - 2023-04-21 |
Publisher: | IEEE |
DOI: | 10.1109/isbi53787.2023.10230732 |
Official URL: | https://doi.org/10.1109/isbi53787.2023.10230732 |
Date Deposited: | 02 Nov 2023 15:35 |
Last Modified: | 25 Sep 2024 16:47 |
Cite in APA 7: | Gazda, M., Drotar, P., Romaguera, L. V., & Kadoury, S. (2023, April). End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction [Paper]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). https://doi.org/10.1109/isbi53787.2023.10230732 |
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