Ghent University Academic Bibliography

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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.
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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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- A1
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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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- P1
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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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- A1
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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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- P1
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Modeling microwave S-parameters using frequency-scaled rational Gaussian process kernels

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

(2024) 2024 IEEE 33RD CONFERENCE ON ELECTRICAL PERFORMANCE OF ELECTRONIC PACKAGING AND SYSTEMS, EPEPS 2024. In IEEE Conference on Electrical Performance of Electronic Packaging and Systems
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ECGencode : compact and computationally efficient deep learning feature encoder for ECG signals

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

(2024) EXPERT SYSTEMS WITH APPLICATIONS. 255(Part C).

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

Modeling microwave S-parameters using frequency-scaled rational Gaussian process kernels

ECGencode : compact and computationally efficient deep learning feature encoder for ECG signals

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