Matt G. Hall

Orcid: 0000-0002-9530-5477

According to our database1, Matt G. Hall authored at least 14 papers between 2007 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases.
Neuroinformatics, 2021

Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding.
NeuroImage, 2021

2020
Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique.
NeuroImage, 2020

Disimpy: A massively parallel Monte Carlo simulator for generating diffusion-weighted MRI data in Python.
J. Open Source Softw., 2020

2017
Sustainable computational science: the ReScience initiative.
PeerJ Comput. Sci., 2017

Machine learning based compartment models with permeability for white matter microstructure imaging.
NeuroImage, 2017

2014
Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2012
Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison.
NeuroImage, 2012

2010
Orientationally invariant indices of axon diameter and density from diffusion MRI.
NeuroImage, 2010

High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
Convergence and Parameter Choice for Monte-Carlo Simulations of Diffusion MRI.
IEEE Trans. Medical Imaging, 2009

Two-Compartment Models of the Diffusion MR Signal in Brain White Matter.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Active Imaging with Dual Spin-Echo Diffusion MRI.
Proceedings of the Information Processing in Medical Imaging, 2009

2007
Exploiting peak anisotropy for tracking through complex structures.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007


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