Subhash Tummala

According to our database, Subhash Tummala authored at least 3 papers between 2017 and 2019.

Collaborative distances:

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

2019

Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis.

Tanuja Chitnis, Bonnie I. Glanz, Cindy Gonzalez, Brian C. Healy, Taylor J. Saraceno, Neda Sattarnezhad, Camilo Diaz-Cruz, Mariann Polgar-Turcsanyi, Subhash Tummala, Rohit Bakshi, Vikram Bajaj, David Ben Shimol, Nikhil Bikhchandani, Alexander W. Blocker, Joshua Burkart, Raphael Cendrillon, Michael P. Cusack, Emre Demiralp, Sarel Kobus Jooste, Alaa Kharbouch, Amy A. Lee, Joseph Lehar, Manway Liu, Swaminathan Mahadevan, Mark Murphy, Linda C. Norton, Tushar Anil Parlikar, Anupam Pathak, Ali Shoeb, Erin Soderberg, Philip Stephens, Aaron H. Stoertz, Florence Thng, Kashyap R. Tumkur, Hongsheng Wang, Jane Rhodes, Richard A. Rudick, Richard M. Ransohoff, Glenn A. Phillips, Effie Bruzik, William J. Marks, Howard L. Weiner, Thomas M. Snyder

npj Digit. Medicine, 2019

2018

Automatic spinal cord localization, robust to MRI contrasts using global curve optimization.

Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, Michael G. Fehlings, Rohit Bakshi, Subhash Tummala, Vincent Auclair, Donald G. McLaren, Virginie Callot, Julien Cohen-Adad, Michaël Sdika

Medical Image Anal., 2018

2017

OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization.

Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, Michael G. Fehlings, Rohit Bakshi, Subhash Tummala, Vincent Auclair, Donald G. McLaren, Virginie Callot, Michaël Sdika, Julien Cohen-Adad

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