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Benjamin S. C. Wade
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2010 – 2019
- 2019
- [c7]David S. Lee, Ashish Sahib
, Benjamin S. C. Wade
Multimodal Data Registration for Brain Structural Association Networks. MICCAI (2) 2019: 373-381 - 2018
- [c6]Emily L. Dennis, Elisabeth A. Wilde, Mary R. Newsome, Randall S. Scheibel, Maya Troyanskaya, Carmen Velez, Benjamin S. C. Wade
ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts. ISBI 2018: 1386-1389 - 2017
- [j1]Benjamin S. C. Wade, Shantanu H. Joshi, Boris A. Gutman
Machine learning on high dimensional shape data from subcortical brain surfaces: A comparison of feature selection and classification methods. Pattern Recognit. 63: 731-739 (2017) - [c5]Benjamin S. C. Wade
Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms. ISBI 2017: 502-506 - 2015
- [c4]Benjamin S. C. Wade
Random forest classification of depression status based on subcortical brain morphometry following electroconvulsive therapy. ISBI 2015: 92-96 - [c3]Benjamin S. C. Wade
Mapping abnormal subcortical brain morphometry in an elderly HIV+ cohort. ISBI 2015: 971-975 - [c2]Benjamin S. C. Wade
Subcortical shape and volume abnormalities in an elderly HIV+ cohort. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171S - [c1]Benjamin S. C. Wade
Machine Learning on High Dimensional Shape Data from Subcortical Brain Surfaces: A Comparison of Feature Selection and Classification Methods. MLMI 2015: 36-43
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