NiTransforms: A Python tool to read, represent, manipulate, and apply $n$-dimensional spatial transforms
Year: 2021
Type: software
Abstract: A Python package to access a cacophony of neuroimaging file formats representing spatio-temporal, linear-and-nonlinear transformations.
Authors: Goncalves, Mathias, Markiewicz, Christopher J., Moia, Stefano, Waller, Lea, Pinsard, Basile, Banús, Jaume, Visconti di Oleggio Castello, Matteo, Marabotto, Julien, Ma, Feilong, Nielson, Dylan, Cluce, Jon, Shain, Cory, Ghosh, Satrajit, Poldrack, Russell A., Esteban, Oscar
Institutions: Stanford University, Basque Center on Cognition, Brain and Language, Charité – Universitätsmedizin Berlin, Université de Montréal, University of California, Berkeley, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Dartmouth College, National Institute of Mental Health, Child Mind Institute, Harvard University, McGovern Institute for Brain Research, Massachusetts Institute of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6931553657