Arkiev D'Souza

According to our database, Arkiev D'Souza authored at least 5 papers between 2022 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

2024

Fibre Population-guided Pre-training for 3D Spatial Super-Resolution on Multimodal Brain Diffusion MR Imaging.

Zihao Tang, Xinyi Wang, Mariano Cabezas, Arkiev D'Souza, Michael Barnett, Fernando Calamante, Weidong Cai, Chenyu Wang

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging.

Sheng Chen, Zihao Tang, Mariano Cabezas, Xinyi Wang, Arkiev D'Souza, Michael Barnett, Fernando Calamante, Weidong Cai, Chenyu Wang

Proceedings of the Neural Information Processing - 31st International Conference, 2024

2023

Hippocampal Neuronal Integrity and Functional Connectivity Within the Default Mode Network in Mild Cognitive Impairment: A Multimodal Investigation.

Marilena M. Demayo, Jinglei Lv, Shantel L. Duffy, Arkiev D'Souza, Loren Mowszowski, Sharon L. Naismith, Fernando Calamante

Brain Connect., April, 2023

2022

Diffusion MRI Fibre Orientation Distribution Inpainting.

Zihao Tang, Xinyi Wang, Mariano Cabezas, Arkiev D'Souza, Fernando Calamante, Dongnan Liu, Michael Barnett, Chenyu Wang, Tom Weidong Cai

Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022