Robust Automated Thalamic Nuclei Segmentation using a Multi-planar Cascaded Convolutional Neural Network. - Mohammed S. Majdi; Mahesh Bharath Keerthivasan; Brian K. Rutt; Natalie M. Zahr; Jeffrey J. Rodríguez; Manojkumar Saranathan (CoRR, 2019)

A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images. - Lavanya Umapathy; Mahesh Bharath Keerthivasan; Jean-Philippe Galons; Wyatt Unger; Diego R. Martín; Maria I. Altbach; Ali Bilgin (CoRR, 2020)

A Contrast Synthesized Thalamic Nuclei Segmentation Scheme using Convolutional Neural Networks. - Lavanya Umapathy; Mahesh Bharath Keerthivasan; Natalie M. Zahr; Ali Bilgin; Manojkumar Saranathan (CoRR, 2020)

Convolutional Neural Network Based Frameworks for Fast Automatic Segmentation of Thalamic Nuclei from Native and Synthesized Contrast Structural MRI. - Lavanya Umapathy; Mahesh Bharath Keerthivasan; Natalie M. Zahr; Ali Bilgin; Manojkumar Saranathan (Neuroinformatics, 2022)

FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging. - Radhika Tibrewala; Tarun Dutt; Angela Tong; Luke Ginocchio; Mahesh Bharath Keerthivasan; Steven H. Baete; Sumit Chopra; Yvonne W. Lui; Daniel K. Sodickson; Hersh Chandarana; Patricia M. Johnson (CoRR, 2023)

Preliminary Experience with Three Alternative Motion Sensors for 0.55 Tesla MR Imaging. - Radhika Tibrewala; Douglas Brantner; Ryan Brown; Leanna Pancoast; Mahesh Bharath Keerthivasan; Mary Bruno; Kai Tobias Block; Bruno Madore; Daniel K. Sodickson; Christopher M. Collins 002 (Sensors, 2024)