18 citations · 38 across the 6 of their papers we have counts for
6 papers
Pore size estimation in axon-mimicking microfibres with diffusion-relaxation MRI
Erick J. Canales-Rodríguez, Marco Pizzolato, Feng-Lei Zhou +5
Purpose: This study aims to evaluate two distinct approaches for fibre radius estimation using diffusion-relaxation MRI data acquired in biomimetic microfibre phantoms that mimic h…
GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis
Po-Jui Lu, Benjamin Odry, Muhamed Barakovic +9
Objective: Identifying disability-related brain changes is important for multiple sclerosis (MS) patients. Currently, there is no clear understanding about which pathological featu…
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…
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic +15
Distributional shift, or the mismatch between training and deployment data, is a significant obstacle to the usage of machine learning in high-stakes industrial applications, such…
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
Julia Wolleb, Robin Sandkühler, Florentin Bieder +7
The limited availability of large image datasets, mainly due to data privacy and differences in acquisition protocols or hardware, is a significant issue in the development of accu…
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…