Lorin Brabants-Werthen
Gent, VLG, Belgium
Last Updated: 09/26/2026
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Found 8 publications
Data-driven hypothesis discovery from disease trajectories in multiple sclerosis.
Journal: Frontiers in immunology
Published: December 01, 2025
Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening.
Journal: Frontiers in immunology
Published: May 09, 2025
Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis.
Journal: Frontiers in neuroscience
Published: May 02, 2025
Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation Using Recursive Spiking Neural Networks.
Journal: IEEE transactions on bio-medical engineering
Published: March 03, 2025
The role of trustworthy and reliable AI for multiple sclerosis.
Journal: Frontiers in digital health
Published: October 08, 2024
Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study.
Journal: PLOS digital health
Published: June 29, 2023
Convolutional Neural Networks for Apnea Detection from Smartphone Audio Signals: Effect of Window Size.
Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Published: September 10, 2022
Split BiRNN for real-time activity recognition using radar and deep learning.
Journal: Scientific reports
Published: November 03, 2021
Showing 1-8 of 8
Last Updated: 09/26/2026