Frederique Boonstra

According to our database, Frederique Boonstra authored at least 2 papers between 2021 and 2025.

Collaborative distances:

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

2025

From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancement.

Xinyi Wang, Michael Barnett, Frederique Boonstra, Yael Barnett, Mariano Cabezas, Arkiev D'Souza, Matthew C. Kiernan, Kain Kyle, Meng Law, Lynette Masters, Zihao Tang, Stephen Tisch, Sicong Tu, Anneke van der Walt, Dongang Wang, Fernando Calamante, Weidong Cai, Chenyu Wang

CoRR, August, 2025

2021

Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities.

Thijs Dhollander, Adam Clemente, Mervyn Singh, Frederique Boonstra, Oren Civier, Juan Dominguez Duque, Natalia Egorova, Peter Enticott, Ian Fuelscher, Sanuji Gajamange, Sila Genc, Elie Gottlieb, Christian Hyde, Phoebe Imms, Claire E. Kelly, Melissa Kirkovski, Scott C. Kolbe, Xiaoyun Liang, Atul Malhotra, Remika Mito, Govinda R. Poudel, Tim J. Silk, David N. Vaughan, Julien Zanin, David Raffelt, Karen Caeyenberghs

NeuroImage, 2021