Matej Gazda, Peter Drotár, Liset Vazquez Romaguera and Samuel Kadoury
Paper (2023)
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| Department: | Department of Computer Engineering and Software Engineering |
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| ISBN: | 9781665473590 |
| 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: | 08 Apr 2025 14:40 |
| Cite in APA 7: | Gazda, M., Drotár, P., Vazquez Romaguera, L., & 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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