Kristin Murtha

According to our database, Kristin Murtha authored at least 3 papers between 2021 and 2023.

Collaborative distances:

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

2023

ModelArray: An R package for statistical analysis of fixel-wise data.

Chenying Zhao, Tinashe M. Tapera, Joëlle Bagautdinova, Josiane Bourque, Sydney Covitz, Raquel E. Gur, Ruben C. Gur, Bart Larsen, Kahini Mehta, Steven L. Meisler, Kristin Murtha, John Muschelli, David R. Roalf, Valerie J. Sydnor, Alessandra M. Valcarcel, Russell T. Shinohara, Matthew Cieslak, Theodore D. Satterthwaite

NeuroImage, May, 2023

2022

Curation of BIDS (CuBIDS): A workflow and software package for streamlining reproducible curation of large BIDS datasets.

Sydney Covitz, Tinashe M. Tapera, Azeez Adebimpe, Aaron Alexander-Bloch, Maxwell A. Bertolero, Eric Feczko, Alexandre R. Franco, Raquel E. Gur, Ruben C. Gur, Timothy Hendrickson, Audrey Houghton, Kahini Mehta, Kristin Murtha, Anders Perrone, Tim Robert-Fitzgerald, Jenna M. Schabdach, Russell T. Shinohara, Jacob W. Vogel, Chenying Zhao, Damien A. Fair, Michael P. Milham, Matthew Cieslak, Theodore D. Satterthwaite

NeuroImage, 2022

2021

FlywheelTools: Data Curation and Manipulation on the Flywheel Platform.

Tinashe M. Tapera, Matthew Cieslak, Max Bertolero, Azeez Adebimpe, Geoffrey Karl Aguirre, Ellyn R. Butler, Philip A. Cook, Diego Davila, Mark A. Elliott, Sophia Linguiti, Kristin Murtha, William Tackett, John A. Detre, Theodore D. Satterthwaite

Frontiers Neuroinformatics, 2021