Ghent University Academic Bibliography

Your filters: cql: author="De Brouwer, Edward" or (type any "bookEditor issueEditor" and editor="De Brouwer, Edward")

Add to list
- Journal Article
- A1
- open access
Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening

Sofie Aerts, Lorin Werthen-Brabants (UGent) , Hamza Khan, Diana L. Giraldo, Edward De Brouwer, Lotte Geys, Veronica Popescu, Jan Sijbers, Henry C. Woodruff, Tom Dhaene (UGent) , et al.

(2026) FRONTIERS IN IMMUNOLOGY. 17.
Add to list
- Journal Article
- A1
- open access
Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis

Hamza Khan, Henry C. Woodruff, Diana L. Giraldo, Lorin Werthen-Brabants (UGent) , Shruti Atul Mali, Sina Amirrajab, Edward De Brouwer, Veronica Popescu, Bart Van Wijmeersch, Oliver Gerlach, et al.

(2025) FRONTIERS IN NEUROSCIENCE. 19.
Add to list
- Journal Article
- A1
- open access
Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data

Ashkan Pirmani, Edward De Brouwer, Ádám Arany, Martijn Oldenhof, Antoine Passemiers, Axel Faes, Tomas Kalincik, Serkan Ozakbas, Riadh Gouider, Barbara Willekens, et al.

(2025) NPJ DIGITAL MEDICINE. 8(1).
Add to list
- Journal Article
- A2
- open access
Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study

Edward De Brouwer, Thijs Becker, Lorin Werthen-Brabants (UGent) , Pieter Dewulf, Dimitrios Iliadis (UGent) , Cathérine Dekeyser (UGent) , Guy Laureys (UGent) , Bart Van Wijmeersch, Veronica Popescu, Tom Dhaene (UGent) , et al.

(2024) PLOS DIGITAL HEALTH. 3(7).
Add to list
- Miscellaneous
Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study

Edward De Brouwer, Thijs Becker, Lorin Werthen-Brabants (UGent) , Pieter Dewulf, Dimitrios Iliadis (UGent) , Cathérine Dekeyser (UGent) , Guy Laureys (UGent) , Bart Van Wijmeersch, Veronica Popescu, Tom Dhaene (UGent) , et al.

(2022) MedRXiv.

Academic Bibliography

Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening

Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis

Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data

Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study

Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study

Contents

Support

Contact