Mohammadhossein Askari Hemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria
and Jean Pierre David
Paper (2019)
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| Additional Information: | Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13-17, 2019 |
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| Department: | Department of Electrical Engineering |
| Research Center: |
GR2M - Microelectronics and Microsystems Research Group NeuroPoly - Laboratoire de Recherche en Neuroimagerie |
| PolyPublie URL: | https://publications.polymtl.ca/44445/ |
| Conference Title: | 1st International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019) |
| Conference Location: | Shenzhen, China |
| Conference Date(s): | 2019-10-17 |
| Publisher: | Springer |
| DOI: | 10.1007/978-3-030-33642-4_13 |
| Official URL: | https://doi.org/10.1007/978-3-030-33642-4_13 |
| Date Deposited: | 18 Apr 2023 15:01 |
| Last Modified: | 21 Mar 2025 16:16 |
| Cite in APA 7: | Askari Hemmat, M., Honari, S., Rouhier, L., Perone, C. S., Cohen-Adad, J., Savaria, Y., & David, J. P. (2019, October). U-net fixed-point quantization for medical image segmentation [Paper]. 1st International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019), Shenzhen, China. https://doi.org/10.1007/978-3-030-33642-4_13 |
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