Lorin Werthen-Brabants

Lorin Werthen-Brabants

he/him

Postdoctoral researcher at imec - IDLab - Ghent University.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles (7)

Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation using Recursive Spiking Neural Networks

Published in IEEE Transactions on Biomedical Engineering, 2024

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Recommended citation: Lorin Werthen-Brabants, Yolanda Castillo-Escario, Willemijn Groenendaal, Raimon Jan{\'e}, Tom Dhaene, Dirk Deschrijver, "Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation using Recursive Spiking Neural Networks." IEEE Transactions on Biomedical Engineering, 2024.

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

Published in PLOS Digital Health, 2024

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Recommended citation: Edward De, Thijs Becker, Lorin Werthen-Brabants, Pieter Dewulf, Dimitrios Iliadis, Cathérine Dekeyser, Guy Laureys, Bart Van, Veronica Popescu, Tom Dhaene, Dirk Deschrijver, Willem Waegeman, Bernard De, Michiel Stock, Dana Horakova, Francesco Patti, Guillermo Izquierdo, Sara Eichau, Marc Girard, Alexandre Prat, Alessandra Lugaresi, Pierre Grammond, Tomas Kalincik, Raed Alroughani, Francois Grand’Maison, Olga Skibina, Murat Terzi, Jeannette Lechner-Scott, Oliver Gerlach, Samia Khoury, Elisabetta Cartechini, Vincent Van, Maria Sà, Bianca Weinstock-Guttman, Yolanda Blanco, Radek Ampapa, Daniele Spitaleri, Claudio Solaro, Davide Maimone, Aysun Soysal, Gerardo Iuliano, Riadh Gouider, Tamara Castillo-Triviño, José Sánchez-Menoyo, Guy Laureys, Anneke Walt, Jiwon Oh, Eduardo Aguera-Morales, Ayse Altintas, Abdullah Al-Asmi, Koen Gans, Yara Fragoso, Tunde Csepany, Suzanne Hodgkinson, Norma Deri, Talal Al-Harbi, Bruce Taylor, Orla Gray, Patrice Lalive, Csilla Rozsa, Chris McGuigan, Allan Kermode, Angel Sempere, Simu Mihaela, Magdolna Simo, Todd Hardy, Danny Decoo, Stella Hughes, Nikolaos Grigoriadis, Attila Sas, Norbert Vella, Yves Moreau, Liesbet Peeters, "Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study." PLOS Digital Health, 2024.
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Conference Papers (7)

Towards Trustworthy Neural Networks for Certification by Analysis–Fuel Tank Flammability Reduction System

Published in the proceedings of FrontUQ2024, Workshop on Frontiers of Uncertainty Quantification, 2024

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Recommended citation: P Van, C Onur, I Jojic, Arash Heidari, Sebastian Rojas, Lorin Werthen-Brabants, Ivo Couckuyt, "Towards Trustworthy Neural Networks for Certification by Analysis--Fuel Tank Flammability Reduction System." In the proceedings of FrontUQ2024, Workshop on Frontiers of Uncertainty Quantification, 2024.

Convolutional Neural Networks for Apnea Detection from Smartphone Audio Signals: Effect of Window Size

Published in the proceedings of 2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp$mathsemicolon$ Biology Society (EMBC), 2022

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Recommended citation: Yolanda Castillo-Escario, Lorin Werthen-Brabants, Willemijn Groenendaal, Dirk Deschrijver, Raimon Jane, "Convolutional Neural Networks for Apnea Detection from Smartphone Audio Signals: Effect of Window Size." In the proceedings of 2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp$mathsemicolon$ Biology Society (EMBC), 2022.
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