Brandalyn C. Riedel

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 5

Top Topics

Transfer Learning

Graph Theoretical

Top Venues

MLCN/RNO-AI@MICCAI

Publications

Ling-Li Zeng, Christopher R. K. Ching, Zvart Abaryan, Sophia I. Thomopoulos, Kai Gao, Alyssa H. Zhu, Anjanibhargavi Ragothaman, Faisal Rashid, Marc Harrison, Lauren E. Salminen, Brandalyn C. Riedel, Neda Jahanshad, Dewen Hu, Paul M. Thompson
A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport. MLCN/RNO-AI@MICCAI (2020)
Brandalyn C. Riedel, Neda Jahanshad, Paul M. Thompson
Graph theoretical approaches towards understanding differences in frontoparietal and default mode networks in Autism. ISBI (2017)
Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Matthew D. Sacchet, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson
Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model. MICCAI (3) (2017)
Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson
Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model. CoRR (2017)
Dajiang Zhu, Neda Jahanshad, Brandalyn C. Riedel, Liang Zhan, Joshua Faskowitz, Gautam Prasad, Paul M. Thompson
Population learning of structural connectivity by white matter encoding and decoding. ISBI (2016)