Ghent University Academic Bibliography

Your filters: cql: author="Groenendaal, Willemijn" or (type any "bookEditor issueEditor" and editor="Groenendaal, Wi...

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

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

(2022) 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). p.666-669
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Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning

Tom Van Steenkiste, Willemijn Groenendaal, Pauline Dreesen, Seulki Lee, Susie Klerkx, Ruben de Francisco, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2020) IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 24(9). p.2589-2598
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Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks

Tom Van Steenkiste, Willemijn Groenendaal, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2019) IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 23(6). p.2354-2364

Academic Bibliography

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

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

Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning

Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks

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