Brandalyn C. Riedel

According to our database, Brandalyn C. Riedel authored at least 5 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport.

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

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2017

Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model.

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

CoRR, 2017

Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Graph theoretical approaches towards understanding differences in frontoparietal and default mode networks in Autism.

Brandalyn C. Riedel, Neda Jahanshad, Paul M. Thompson

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Population learning of structural connectivity by white matter encoding and decoding.

Dajiang Zhu, Neda Jahanshad, Brandalyn C. Riedel, Liang Zhan, Joshua Faskowitz, Gautam Prasad, Paul M. Thompson

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016