Mahsa Shakeri, Hervé Lombaert
, Shashank Tripathi and Samuel Kadoury
Paper (2016)
An external link is available for this item
| Additional Information: | Held in conjunction with MICCAI 2016 |
|---|---|
| Department: | Department of Computer Engineering and Software Engineering |
| ISBN: | 9783319512365 |
| PolyPublie URL: | https://publications.polymtl.ca/36723/ |
| Conference Title: | 1st International Workshop on Spectral and Shape Analysis in Medical Imaging (SeSAMI 2016) |
| Conference Location: | Athens, Greece |
| Conference Date(s): | 2016-10-21 |
| Publisher: | Springer |
| DOI: | 10.1007/978-3-319-51237-2_2 |
| Official URL: | https://doi.org/10.1007/978-3-319-51237-2_2 |
| Date Deposited: | 18 Apr 2023 15:06 |
| Last Modified: | 08 Apr 2025 12:21 |
| Cite in APA 7: | Shakeri, M., Lombaert, H., Tripathi, S., & Kadoury, S. (2016, October). Deep spectral-based shape features for Alzheimers disease classification [Paper]. 1st International Workshop on Spectral and Shape Analysis in Medical Imaging (SeSAMI 2016), Athens, Greece. https://doi.org/10.1007/978-3-319-51237-2_2 |
|---|---|
Statistics
Dimensions
Repository Staff Only
|
View Item |
