Brice Rauby, Paul Xing, Jonathan Porée, Maxime Gasse and Jean Provost
Article (2025)
An external link is available for this item
| Department: | Department of Engineering Physics |
|---|---|
| Funders: | Canadian Institutes of Health Research, Institut de Valorisation des Données, NSERC, Canada Foundation for Innovation |
| Grant number: | 452530, RGPIN-2020-06786, 38095 |
| PolyPublie URL: | https://publications.polymtl.ca/63449/ |
| Journal Title: | IEEE Transactions on Image Processing (vol. 34) |
| Publisher: | Institute of Electrical and Electronics Engineers |
| DOI: | 10.1109/tip.2025.3552198 |
| Official URL: | https://doi.org/10.1109/tip.2025.3552198 |
| Date Deposited: | 25 Mar 2025 10:14 |
| Last Modified: | 01 May 2025 01:40 |
| Cite in APA 7: | Rauby, B., Xing, P., Porée, J., Gasse, M., & Provost, J. (2025). Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy. IEEE Transactions on Image Processing, 34, 2367-2378. https://doi.org/10.1109/tip.2025.3552198 |
|---|---|
Statistics
Dimensions
Repository Staff Only
|
View Item |
