Tobias Goodwin-Allcock

According to our database, Tobias Goodwin-Allcock authored at least 3 papers between 2022 and 2023.

Collaborative distances:

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

2023

Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols.

Tobias Goodwin-Allcock, Ting Gong, Robert J. Gray, Parashkev Nachev, Hui Zhang

CoRR, 2023

2022

How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?

Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang

CoRR, 2022

How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation?

Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang

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