Mahsa Shakeri, Hervé Lombaert, Shashank Tripathi and Samuel Kadoury
Paper (2016)
An external link is available for this itemAdditional Information: | Held in conjunction with MICCAI 2016 |
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Department: | Department of Computer Engineering and Software Engineering |
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: | 25 Sep 2024 16:20 |
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 |
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