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20102025
most citedGenerative models of the human connectome

347 citations · 1.3k across the 70 of their papers we have counts for

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physics.med-ph2023★ 13 cited

Estimating axon radius using diffusion-relaxation MRI: calibrating a surface-based relaxation model with histology

Muhamed Barakovic, Marco Pizzolato, Chantal M. W. Tax +7

Axon radius is a potential biomarker for brain diseases and a crucial tissue microstructure parameter that determines the speed of action potentials. Diffusion MRI (dMRI) allows no…

physics.med-ph2020★ 5 cited

X-ray imaging detector for radiological applications in the harsh environments of low-income countries

Mario A. Chavarria, Matthias Huser, Sebastien Blanc +9

This paper describes the development of a novel medical Xray imaging system adapted to the needs and constraints of low and middle income countries. The developed system is based o…

physics.med-ph2020

A Signal Peak Separation Index for axisymmetric B-tensor encoding

Gaëtan Rensonnet, Jonathan Rafael-Patiño, Benoît Macq +3

Diffusion-weighted MRI (DW-MRI) has recently seen a rising interest in planar, spherical and general B-tensor encodings. Some of these sequences have aided traditional linear encod…

physics.med-ph2020★ 7 cited

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…

physics.med-ph2019

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…

physics.med-ph2014★ 77 cited

Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and spatial regularization

Erick J. Canales-Rodríguez, Alessandro Daducci, Stamatios N. Sotiropoulos +11

Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-matter fiber orientations from diffusion MRI data. However, while some of these methods assum…