Anjanibhargavi Ragothaman

According to our database, Anjanibhargavi Ragothaman authored at least 3 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

A comparison of network definitions for detecting sex differences in brain connectivity using Support Vector Machines.

George W. Hafzalla, Anjanibhargavi Ragothaman, Joshua Faskowitz, Neda Jahanshad, Katie L. McMahon, Greig I. de Zubicaray, Margaret J. Wright, Meredith N. Braskie, Gautam Prasad, Paul M. Thompson

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

2016

Effects of EPI distortion correction pipelines on the connectome in Parkinson's Disease.

Justin Galvis, Adam Mezher, Anjanibhargavi Ragothaman, Julio Villalon-Reina, P. Thomas Fletcher, Paul M. Thompson, Gautam Prasad

Proceedings of the Medical Imaging 2016: Image Processing, 2016