activity
20202024
most citedUnveiling Normative Trajectories of Lifespan Brain Maturation Using Quantitative MRI

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2024★ 2 cited

Unveiling Normative Trajectories of Lifespan Brain Maturation Using Quantitative MRI

Xinjie Chen, Mario Ocampo-Pineda, Po-Jui Lu +17

Background: Brain maturation and aging involve significant microstructural changes, resulting in functional and cognitive alterations. Quantitative MRI (qMRI) can measure this evol…

eess.IV2023

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…

cs.CV2021

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…

stat.AP2021★ 2 cited

Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis

Konstantina Chalkou, Ewout Steyerberg, Patrick Bossuyt +7

Prognosis on the occurrence of relapses in individuals with Relapsing-Remitting Multiple Sclerosis (RRMS), the most common subtype of Multiple Sclerosis (MS), could support individ…

cs.LG2020

Longitudinal modeling of MS patient trajectories improves predictions of disability progression

Edward De Brouwer, Thijs Becker, Yves Moreau +38

Research in Multiple Sclerosis (MS) has recently focused on extracting knowledge from real-world clinical data sources. This type of data is more abundant than data produced during…