Projects per year
Organisation profile
Introduction / mission
Clinical relevance is our commitment, achieved through close collaboration with selected clinical/industrial partners and advisors.
Organisational profile
The Biomedical Diagnostics (BM/d) Research Laboratory develops algorithms for the interpretation of biomedical signals and data acquired with a variety of sensors, ranging from ultrasound and magnetic resonance imaging, up to electrophysiological and photoplethysmographic recording. The lab positions itself on the edge between data-driven and physics-driven analysis through a continuous effort towards understanding the application domain and modeling the full measurement chain: (patho)physiological sources, sensing physics, and signal acquisition. To this end, research is carried out in tight collaboration with our clinical and industrial partners. The main application areas are oncology, cardiovascular, gynecology-perinatology, sleep, perioperative care, neurology, and neuromuscular research. The lab is chaired by Prof. Mischi, supported by a multidisciplinary team integrating expertise in modeling (Dr. Turco), Bayesian inference (Dr. Vullings), and machine learning (Dr. van Sloun), image analysis (Dr. Zinger), signal processing (Dr. Peri).
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Collaborations and top research areas from the last five years
Profiles
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Jaap van der Aar
- Electrical Engineering, Signal Processing Systems - Doctoral Candidate
- Eindhoven MedTech Innovation Center - Doctoral Candidate
- Electrical Engineering, Biomedical Diagnostics Lab
Person: Prom. : doctoral candidate (PhD)
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Ronald M. Aarts
- Electrical Engineering, Biomedical Diagnostics Lab
- Electrical Engineering, Center for Care & Cure Technology Eindhoven (C3Te)
- Electrical Engineering, Signal Processing Systems - Full Professor
- Eindhoven MedTech Innovation Center - Full Professor
Person: HGL : Professor, HGL : Professor
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Tom H.G.F. Bakkes, MSc
- Electrical Engineering, Biomedical Diagnostics Lab
- Electrical Engineering, Center for Care & Cure Technology Eindhoven (C3Te)
- Electrical Engineering, Signal Processing Systems - Doctoral Candidate
- Eindhoven MedTech Innovation Center - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
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FORSEE: Video monitoring for early signaling of adverse events
van Esch, R., Bergmans, J. W. M., van Esch, R., Cramer, I., Verstappen, C., van der Hagen, D., Montenij, L., Verstappen, C., Hommerson, S., van 't Veer, M., Stuijk, S., Kloeze, C., Zinger, S., Dekker, L. R. C., Kaandorp, T., Wang, W., Sammali, F. & Zinger, S.
1/06/20 → 31/05/25
Project: Research direct
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Light Cognition Attention Perception IEIS GA860613
de Kort, Y. A. W., de Kort, Y. A. W., Smolders, K. C. H. J., Schlangen, L. J. M., Haans, A., Overeem, S., Schrijnemakers, L. R. R., Gecer, E., Verhoef, V. T. R. & Jedon, R.
1/03/20 → 29/02/24
Project: Research direct
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BRUM TTW 17878:Body-woRn Ultrasound sensing platform for advanced non-invasive patient Monitoring in peri-operative and critical care
Mischi, M., Suriani, I., Dinis Fernandes, C., de Boer, E. & van der Hagen, D.
15/02/20 → 14/09/25
Project: Research direct
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A dilated inception CNN-LSTM network for fetal heart rate estimation
Fotiadou, E., van Sloun, R. J. G., van Laar, J. O. E. H. & Vullings, R., Apr 2021, In: Physiological Measurement. 42, 4, 045007.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
A hybrid DCNN-SVM model for classifying neonatal sleep and wake states based on facial expressions in video
Awais, M., Long, X., Yin, B., Abbasi, S. F., Akbarzadeh, S., Lu, C., Wang, X., Wang, L., Zhang, J., Dudink, J. & Chen, W., May 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 5, p. 1441-1449 9 p., 9405399.Research output: Contribution to journal › Article › Academic › peer-review
1 Citation (Scopus) -
A Model-Based Approach to Synthetic Data Set Generation for Patient-Ventilator Waveforms for Machine Learning and Educational Use
Diepen, A. V., Bakkes, T. H. G. F., de Bie, A. J. R., Turco, S., Bouwman, R. A., Woerlee, P. H. & Mischi, M., 29 Mar 2021, In: arXiv. 2021, 19 p., 2103.15684.Research output: Contribution to journal › Article › Academic
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Prizes
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Best Poster Award 2017 in New Directions - Contrast Ultrasound
Wildeboer, Rogier R. (Recipient), 20 Jan 2017
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Poster Award 2018 in New Directions - Contrast Ultrasound
Wildeboer, Rogier R. (Recipient), 19 Jan 2018
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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The generalized finite amplitude insert substitution method for estimation of the ultrasound parameter of nonlinearity
Anastasiia Panfilova (Speaker), Xufei Chen (Speaker), Ruud J.G. van Sloun (Speaker), Hessel Wijkstra (Speaker), Oleg Sapozhnikov (Speaker) & Massimo Mischi (Speaker)
8 Dec 2020Activity: Talk or presentation types › Contributed talk › Scientific
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Annual IEEE EMBS Benelux Chapter Symposium
Anouk van Diepen (Participant)
28 Nov 2019Activity: Participating in or organising an event types › Conference › Scientific
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National Day on Biomedical Engineering: Artificial Intelligence in Medicine
Anouk van Diepen (Participant)
28 Nov 2019 → 29 Nov 2019Activity: Participating in or organising an event types › Conference › Scientific
Press/Media
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Intelligent Lung Ultrasound Provides Crucial Support for COVID-19 Testing Within Minutes
3/06/21
1 item of Media coverage
Press/Media: Expert Comment
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Somnoloog: 'Apparaten die je slaap meten, zijn maar beperkt betrouwbaar'
8/05/21
1 Media contribution
Press/Media: Expert Comment
Student theses
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Adversarial deep learning in super resolution ultrasound
Author: Jeukendrup, K., 31 Jan 2019Supervisor: van Sloun, R. (Supervisor 1)
Student thesis: Master
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Applying Neural Networks to Predict SAR in Hyperthermia Treatment Planning
Author: Van de Vorst, D., 7 Dec 2020Supervisor: van Sloun, R. J. (Supervisor 1) & Paulides, M. M. (. (Supervisor 2)
Student thesis: Master
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Estimation of acoustical coefficient of nonlinearity
Author: Zeng, Y., 24 May 2018Supervisor: Mischi, M. (Supervisor 1) & Wijkstra, H. (Supervisor 2)
Student thesis: Master