Ghent University Academic Bibliography

Journal Article
A2
open access

The role of trustworthy and reliable AI for multiple sclerosis

Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2025) FRONTIERS IN DIGITAL HEALTH. 7.

Journal Article
A1
open access

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

Lorin Werthen-Brabants (UGent) , Yolanda Castillo-Escario, Willemijn Groenendaal, Raimon Jane, Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2025) IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 72(4). p.1306-1315

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Interpretable machine learning models for COPD ease of breathing estimation

Thomas Kok (UGent) , John Morales, Dirk Deschrijver (UGent) , Dolores Blanco-Almazan, Willemijn Groenendaal, David Ruttens, Christophe Smeets, Vojkan Mihajlovic, Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2025) MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING. 63(5). p.1481-1495

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Journal Article
A1
open access

KARMA : kernel-aided rational macromodeling of noisy electrical frequency response data

Thijs Ullrick (UGent) , Dirk Deschrijver (UGent) , Wim Bogaerts (UGent) and Tom Dhaene (UGent)

(2025) IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES.

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Conference Paper
P1
open access

Bayesian optimization of microwave filters : a physics-informed approach using the Szegö kernel

Yens Lindemans (UGent) , Thijs Ullrick (UGent) , Ivo Couckuyt (UGent) , Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2025) 2025 IEEE 29TH WORKSHOP ON SIGNAL AND POWER INTEGRITY, SPI. In IEEE Workshop on Signal and Power Integrity p.1-4

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Augmentation-free longitudinal modeling through structuring whitened embeddings

Karel Fonteyn (UGent) , Lennert Bontinck (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2025) IEEE ACCESS. 13. p.159950-159960

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Journal Article
A1
open access

Spectral bayesian optimization using a physics-informed rational Szego kernel for microwave design

Yens Lindemans (UGent) , Thijs Ullrick (UGent) , Ivo Couckuyt (UGent) , Tim Pattyn (UGent) , Dirk Deschrijver (UGent) , Dries Vande Ginste (UGent) and Tom Dhaene (UGent)

(2025) IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY. 15(9). p.1836-1846

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Wavelength-tunable equivalent circuit models for SPICE-based photonic-electronic co-simulation

Thijs Ullrick (UGent) , Dirk Deschrijver (UGent) , Domenico Spina (UGent) , Wim Bogaerts (UGent) and Tom Dhaene (UGent)

(2025) JOURNAL OF COMPUTATIONAL ELECTRONICS. 25(1).

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Conference Paper
C1
open access

CSD-AFNet : computationally efficient atrial fibrillation classification from ECGs using 2D causal strided dilated convolutions

Lennert Bontinck (UGent) , Aranka Steyaert (UGent) , Hongbing Chen (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2025) 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). p.1-7

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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).

Academic Bibliography

The role of trustworthy and reliable AI for multiple sclerosis

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

Interpretable machine learning models for COPD ease of breathing estimation

KARMA : kernel-aided rational macromodeling of noisy electrical frequency response data

Bayesian optimization of microwave filters : a physics-informed approach using the Szegö kernel

Augmentation-free longitudinal modeling through structuring whitened embeddings

Spectral bayesian optimization using a physics-informed rational Szego kernel for microwave design

Wavelength-tunable equivalent circuit models for SPICE-based photonic-electronic co-simulation

CSD-AFNet : computationally efficient atrial fibrillation classification from ECGs using 2D causal strided dilated convolutions

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

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