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Sensors (Basel, Switzerland)|November 11, 2022
Automated Firmware Generation for Compressive Sensing on Heterogeneous HardwareRens Baeyens, Joachim Denil, Jan Steckel, et al.
Plos Computational Biology|December 20, 2019
Avoidance of non-localizable obstacles in echolocating bats: A robotic modelCarl Bou Mansour, Elijah Koreman, Jan Steckel, et al.
Elife|August 3, 2016
Place recognition using batlike sonarDieter Vanderelst, Jan Steckel, Andre Boen, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 8, 2020
Bioinspired sonar reflectors as guiding beacons for autonomous navigationRalph Simon, Stefan Rupitsch, Markus Baumann, et al.
The Journal of Experimental Biology|January 24, 2018
Low-cost synchronization of high-speed audio and video recordings in bio-acoustic experimentsDennis Laurijssen, Erik Verreycken, Inga Geipel, et al.
Communications Biology|November 11, 2021
Bio-acoustic tracking and localization using heterogeneous, scalable microphone arraysErik Verreycken, Ralph Simon, Brandt Quirk-Royal, et al.
European Journal of Cardiovascular Nursing|February 17, 2025
Exploring patient, informal caregiver, and nurse experiences with home-based hospital-level care for decompensated heart failure: a mixed-methods studyRinske Lubbers-Wolterink, Harmieke van Os-Medendorp, Wouter Jansen Klomp, et al.
IEEE Journal of Biomedical and Health Informatics|October 27, 2021
Comprehensive Analysis System for Automated Respiratory Cycle Segmentation and Crackle Peak DetectionIan McLane, Eline Lauwers, Toon Stas, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Compressed Sensing of Acoustic Cardiopulmonary Signals Using a CNN-based Reconstruction MethodRens Baeyens, Domenico Ragusa, Toon Stas, et al.
Plos Computational Biology|December 16, 2021
Acoustic traits of bat-pollinated flowers compared to flowers of other pollination syndromes and their echo-based classification using convolutional neural networksRalph Simon, Karol Bakunowski, Angel Eduardo Reyes-Vasques, et al.
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