Shashank Tripathi, Seyed Hossein Nozadi, Mahsa Shakeri and Samuel Kadoury
Paper (2017)
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| Additional Information: | MedICAL Laboratory |
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| Department: | Department of Computer Engineering and Software Engineering |
| Research Center: | Other |
| ISBN: | 9781509011728 |
| PolyPublie URL: | https://publications.polymtl.ca/38424/ |
| Conference Title: | 14th IEEE International Symposium on Biomedical Imaging (ISBI 2017) |
| Conference Location: | Melbourne, Australia |
| Conference Date(s): | 2017-04-18 - 2017-04-21 |
| Publisher: | IEEE |
| DOI: | 10.1109/isbi.2017.7950682 |
| Official URL: | https://doi.org/10.1109/isbi.2017.7950682 |
| Date Deposited: | 18 Apr 2023 15:05 |
| Last Modified: | 25 Sep 2024 16:22 |
| Cite in APA 7: | Tripathi, S., Nozadi, S. H., Shakeri, M., & Kadoury, S. (2017, April). Sub-cortical shape morphology and voxel-based features for Alzheimer's disease classification [Paper]. 14th IEEE International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia. https://doi.org/10.1109/isbi.2017.7950682 |
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