7 citations · 7 across the 2 of their papers we have counts for
4 papers
Microstructure estimation from diffusion-MRI: Compartmentalized models in permeable cellular tissue
Rémy Gardier, Juan Luis Villarreal Haro, Erick J Canales-Rodrıguez +4
Diffusion-weighted magnetic resonance imaging (DW-MRI) is used to characterize brain tissue microstructure employing tissue-specific biophysical models. A current limitation, howev…
Model-Informed Machine Learning for Multi-component T2 Relaxometry
Thomas Yu, Erick Jorge Canales Rodriguez, Marco Pizzolato +9
Recovering the T2 distribution from multi-echo T2 magnetic resonance (MR) signals is challenging but has high potential as it provides biomarkers characterizing the tissue micro-st…
Robust Monte-Carlo Simulations in Diffusion-MRI: Effect of the substrate complexity and parameter choice on the reproducibility of results
Jonathan Rafael-Patino, David Romascano, Alonso Ramirez-Manzanares +3
Monte-Carlo Diffusion Simulations (MCDS) have been used extensively as a ground truth tool for the validation of microstructure models for Diffusion-Weighted MRI. However, methodol…
Efficient sampling and robust 3D diffusion magnetic resonance imaging signal reconstruction
Alice P. Bates, Zubair Khalid, Jason D. McEwen +3
This paper presents novel single and multi-shell sampling schemes for diffusion MRI. In diffusion MRI, it is paramount that the number of samples is as small as possible in order t…