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Onderzoeker
Lorin Werthen-Brabants
Profiel
Projecten
Publicaties & datasets
Activiteiten
Prijzen & Erkenningen
Octrooien
20
Resultaten
2025
Deep learning-based event counting for apnea-hypopnea index estimation using recursive spiking neural networks
Lorin Werthen-Brabants
Yolanda Castillo-Escario
Willemijn Groenendaal
Raimon Jane
Tom Dhaene
Dirk Deschrijver
A1
Artikel in een tijdschrift
in
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
2025
Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability progression in people with multiple sclerosis
Hamza Khan
Henry C Woodruff
Diana L. Giraldo
Lorin Werthen-Brabants
Shruti Atul Mali
Sina Amirrajab
Edward De Brouwer
Veronica Popescu
Bart Van Wijmeersch
Oliver Gerlach
et al.
Preprint
2025
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
Shruti Atul Mali
Sina Amirrajab
Edward De Brouwer
Veronica Popescu
Bart Van Wijmeersch
Oliver Gerlach
et al.
A1
Artikel in een tijdschrift
in
FRONTIERS IN NEUROSCIENCE
2025
The role of trustworthy and reliable AI for multiple sclerosis
Lorin Werthen-Brabants
Tom Dhaene
Dirk Deschrijver
A2
Artikel in een tijdschrift
in
FRONTIERS IN DIGITAL HEALTH
2025
Towards trustworthy surrogate models for augmenting certification : fuel tank flammability reduction system
Arash Heidari
Lorin Werthen-Brabants
Sebastian Rojas Gonzalez
Ivo Couckuyt
Onur Can Gülenç
Pieter Van Gils
Ivana Jojic
Redactioneel materiaal
2025
2024
Data-driven surrogate modeling for the flammability reduction system
Arash Heidari
Lorin Werthen-Brabants
Tom Dhaene
Ivo Couckuyt
C. Onur
P. Van Gils
I. Jojic
P1
Conferentie
2024
Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study
Edward De Brouwer
Thijs Becker
Lorin Werthen-Brabants
Pieter Dewulf
Dimitrios Iliadis
Cathérine Dekeyser
Guy Laureys
Bart Van Wijmeersch
Veronica Popescu
Tom Dhaene
et al.
A2
Artikel in een tijdschrift
in
PLOS DIGITAL HEALTH
2024
Optimized data transmission for radar-based edge-cloud human activity recognition via quantization
Victor Tuytte
Arash Heidari
Lorin Werthen-Brabants
Tom Dhaene
Ivo Couckuyt
P1
Conferentie
2024
Optimizing memory footprint for radar-based human activity recognition on resource-constrained devices
Arash Heidari
Lorin Werthen-Brabants
Tom Dhaene
Ivo Couckuyt
P1
Conferentie
2024
Towards trustworthy neural networks for certification by analysis : fuel tank flammability reduction system
P. Van Gils
C. Onur
I. Jojic
Arash Heidari
Sebastian Rojas Gonzalez
Lorin Werthen-Brabants
Ivo Couckuyt
C3
Conferentie
2024
2023
Open-set patient activity recognition with radar sensors and deep learning
Geethika Bhavanasi
Lorin Werthen-Brabants
Tom Dhaene
Ivo Couckuyt
A1
Artikel in een tijdschrift
in
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2023
Quantifying uncertainty and improving reliability of time-series based deep learning models
Lorin Werthen-Brabants
Dirk Deschrijver
Tom Dhaene
Proefschrift
2023
Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction
Lorin Werthen-Brabants
Tom Dhaene
Dirk Deschrijver
A1
Artikel in een tijdschrift
in
ELECTRONICS LETTERS
2023
2022
Convolutional neural networks for apnea detection from smartphone audio signals : effect of window size
Yolanda Castillo-Escario
Lorin Werthen-Brabants
Willemijn Groenendaal
Dirk Deschrijver
Raimon Jane
C1
Conferentie
2022
Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study
Edward De Brouwer
Thijs Becker
Lorin Werthen-Brabants
Pieter Dewulf
Dimitrios Iliadis
Cathérine Dekeyser
Guy Laureys
Bart Van Wijmeersch
Veronica Popescu
Tom Dhaene
et al.
Preprint
2022
Patient activity recognition using radar sensors and machine learning
Geethika Bhavanasi
Lorin Werthen-Brabants
Tom Dhaene
Ivo Couckuyt
A1
Artikel in een tijdschrift
in
NEURAL COMPUTING & APPLICATIONS
2022
Quantifying uncertainty in real time with split BiRNN for radar human activity recognition
Lorin Werthen-Brabants
Geethika Bhavanasi
Ivo Couckuyt
Tom Dhaene
Dirk Deschrijver
P1
Conferentie
2022
Split BiRNN for real-time activity recognition using radar and deep learning
Lorin Werthen-Brabants
Geethika Bhavanasi
Ivo Couckuyt
Tom Dhaene
Dirk Deschrijver
A1
Artikel in een tijdschrift
in
SCIENTIFIC REPORTS
2022
Tailoring radar-based patient monitoring models to real-life needs using utility maximization
Louis Vincent-De Sloover
Lorin Werthen-Brabants
Geethika Bhavanasi
Tom Dhaene
Ivo Couckuyt
P1
Conferentie
2022
Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning
Lorin Werthen-Brabants
Tom Dhaene
Dirk Deschrijver
A1
Artikel in een tijdschrift
in
ENERGY AND BUILDINGS
2022