Anjanibhargavi Ragothaman

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 3

Top Topics

Distortion Correction

Deformable Registration

Transfer Learning

Brain Connectivity

Top Venues

MLCN/RNO-AI@MICCAI

Medical Imaging: Image Processing

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)
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
A comparison of network definitions for detecting sex differences in brain connectivity using Support Vector Machines. ISBI (2017)
Justin Galvis, Adam Mezher, Anjanibhargavi Ragothaman, Julio Villalon-Reina, P. Thomas Fletcher, Paul M. Thompson, Gautam Prasad
Effects of EPI distortion correction pipelines on the connectome in Parkinson's Disease. Medical Imaging: Image Processing (2016)