Research Explorer

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Researcher

Lorin Werthen-Brabants

Awards & Distinctions

18 Results

2025

Deep learning-based event counting for apnea-hypopnea index estimation using recursive spiking neural networks

Lorin Werthen-BrabantsYolanda Castillo-EscarioWillemijn GroenendaalRaimon JaneTom DhaeneDirk Deschrijver

A1 Journal Article in IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Leveraging Hand-Crafted Radiomics on Multicenter FLAIR MRI for Predicting Disability Progression in People with Multiple Sclerosis

Hamza KhanHenry C WoodruffDiana L. GiraldoLorin Werthen-BrabantsShruti Atul MaliSina AmirrajabEdward De BrouwerVeronica PopescuBart Van WijmeerschOliver Gerlach et al.

The role of trustworthy and reliable AI for multiple sclerosis

Lorin Werthen-BrabantsTom DhaeneDirk Deschrijver

A2 Journal Article in FRONTIERS IN DIGITAL HEALTH

2024

Data-driven surrogate modeling for the flammability reduction system

Arash HeidariLorin Werthen-BrabantsTom DhaeneIvo CouckuytC. OnurP. Van GilsI. Jojic

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

Edward De BrouwerThijs BeckerLorin Werthen-BrabantsPieter DewulfDimitrios IliadisCathérine DekeyserGuy LaureysBart Van WijmeerschVeronica PopescuTom Dhaene et al.

A2 Journal Article in PLOS DIGITAL HEALTH

Optimized data transmission for radar-based edge-cloud human activity recognition via quantization

Victor TuytteArash HeidariLorin Werthen-BrabantsTom DhaeneIvo Couckuyt

Optimizing memory footprint for radar-based human activity recognition on resource-constrained devices

Arash HeidariLorin Werthen-BrabantsTom DhaeneIvo Couckuyt

Towards trustworthy neural networks for certification by analysis : fuel tank flammability reduction system

P. Van GilsC. OnurI. JojicArash HeidariSebastian Rojas GonzalezLorin Werthen-BrabantsIvo Couckuyt

2023

Open-set patient activity recognition with radar sensors and deep learning

Geethika BhavanasiLorin Werthen-BrabantsTom DhaeneIvo Couckuyt

A1 Journal Article in IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

Quantifying uncertainty and improving reliability of time-series based deep learning models

Lorin Werthen-BrabantsDirk DeschrijverTom Dhaene

Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction

Lorin Werthen-BrabantsTom DhaeneDirk Deschrijver

A1 Journal Article in ELECTRONICS LETTERS

2022

Convolutional neural networks for apnea detection from smartphone audio signals : effect of window size

Yolanda Castillo-EscarioLorin Werthen-BrabantsWillemijn GroenendaalDirk DeschrijverRaimon Jane

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

Edward De BrouwerThijs BeckerLorin Werthen-BrabantsPieter DewulfDimitrios IliadisCathérine DekeyserGuy LaureysBart Van WijmeerschVeronica PopescuTom Dhaene et al.

Patient activity recognition using radar sensors and machine learning

Geethika BhavanasiLorin Werthen-BrabantsTom DhaeneIvo Couckuyt

A1 Journal Article in NEURAL COMPUTING & APPLICATIONS

Quantifying uncertainty in real time with split BiRNN for radar human activity recognition

Lorin Werthen-BrabantsGeethika BhavanasiIvo CouckuytTom DhaeneDirk Deschrijver

Split BiRNN for real-time activity recognition using radar and deep learning

Lorin Werthen-BrabantsGeethika BhavanasiIvo CouckuytTom DhaeneDirk Deschrijver

A1 Journal Article in SCIENTIFIC REPORTS

Tailoring radar-based patient monitoring models to real-life needs using utility maximization

Louis Vincent-De SlooverLorin Werthen-BrabantsGeethika BhavanasiTom DhaeneIvo Couckuyt

Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning

Lorin Werthen-BrabantsTom DhaeneDirk Deschrijver

A1 Journal Article in ENERGY AND BUILDINGS