Projects per year
Organization 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).
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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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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Tom H.G.F. Bakkes, MSc
- Electrical Engineering, Biomedical Diagnostics Lab
- Electrical Engineering, Center for Care & Cure Technology Eindhoven
- Eindhoven MedTech Innovation Center - University Researcher
Person: Prom. : doctoral candidate (PhD), OWP : University Teacher / Researcher
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Maretha Bester, MSc
- Electrical Engineering, Center for Care & Cure Technology Eindhoven
- Electrical Engineering, Biomedical Diagnostics Lab
- Eindhoven MedTech Innovation Center - Doctoral Candidate
- Electrical Engineering, Signal Processing Systems - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
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LSH-TKI 01-003-2021-B005 BECA: BEating Cardiac Arrest
Vullings, R., Hup, G., Vullings, R. & van der Hagen, D.
1/04/22 → 31/03/25
Project: Research direct
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FORSEE: Video monitoring for early signaling of adverse events
van Esch, R. J. C., Bergmans, J. W. M., van Esch, R. J. C., 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., Wang, W., Sammali, F. & Zinger, S.
1/06/20 → 31/05/25
Project: Research direct
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LightCap: Light, Cognition, Attention, Perception (LightCap)
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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A deep-learning approach to assess respiratory effort with a chest-worn accelerometer during sleep
Schipper, F., van Sloun, R. J. G., Grassi, A., Overeem, S. & Fonseca, P., May 2023, In: Biomedical Signal Processing and Control. 83, 12 p., 104726.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Downloads (Pure) -
A Review of Machine Learning Applications for the Proton Magnetic Resonance Spectroscopy Workflow
Sande, D. M. J. V. D., Merkofer, J. P., Amirrajab, S., Veta, M., Sloun, R. J. G. V., Versluis, M. J., Jansen, J. F. A., Brink, J. S. V. D. & Breeuwer, M., 16 May 2023, In: arXiv. 2023, 2305.0962.Research output: Contribution to journal › Article › Professional
File -
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Huijben, I. A. M., Kool, W., Paulus, M. B. & van Sloun, R. J. G., 1 Feb 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 2, p. 1353-1371 19 p., 9729603.Research output: Contribution to journal › Article › Academic › peer-review
1 Citation (Scopus)
Datasets
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A Potential Multimodal Test for Clinical Assessment of Visual Attention in Neurological Disorders
Barone, V. (Creator), van Dijk, J. P. (Creator), Debeij-van Hall, M. H. J. A. (Creator) & van Putten, M. J. A. M. (Creator), SAGE Journals, 3 Oct 2022
Dataset
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Study protocol training for life: a stepped wedge cluster randomized trial about emergency obstetric simulation-based training in a low-income country
van Tetering, A. A. C. (Contributor), van Meurs, A. (Contributor), Ntuyo, P. (Contributor), van der Hout-van der Jagt, M. B. (Contributor), Mulders, L. G. M. (Contributor), Nolens, B. (Contributor), Namagambe, I. (Contributor), Nakimuli, A. (Contributor), Byamugisha, J. (Contributor) & Oei, S. G. (Contributor), Figshare, 29 Jul 2020
DOI: 10.6084/m9.figshare.c.5076031
Dataset
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Changes in leg cycling muscle synergies after training augmented by functional electrical stimulation in subacute stroke survivors: a pilot study
Ambrosini, E. (Creator), Parati, M. (Creator), Peri, E. (Creator), De Marchis, C. (Contributor), Nava, C. (Creator), Pedrocchi, A. (Creator), Ferriero, G. (Creator) & Ferrante, S. (Creator), Figshare, 28 Feb 2020
DOI: 10.6084/m9.figshare.c.4874835
Dataset
Prizes
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Best Poster Award 2017 in New Directions - Contrast Ultrasound
Wildeboer, Rogier (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 (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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Eindhoven University of Technology Reports Findings in Networks (Shear-Wave Particle-Velocity Estimation and Enhancement Using a Multi-Resolution Convolutional Neural Network)
Xufei Chen, Massimo Mischi, Ruud J.G. van Sloun & Nishith Chennakeshava
4/05/23
1 item of Media coverage
Press/Media: Expert Comment
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Researchers from Eindhoven University of Technology Report on Findings in Machine Learning (A Review of the Gumbel-max Trick and Its Extensions for Discrete Stochasticity In Machine Learning)
1/03/23
1 item of Media coverage
Press/Media: Expert Comment
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Reports Outline Machine Learning Study Findings from ShanghaiTech University (Novel Multichannel Entropy Features and Machine Learning for Early Assessment of Pregnancy Progression Using Electrohysterography)
31/01/23
1 item of Media coverage
Press/Media: Expert Comment
Impacts
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Cardiology
Ruud J.G. van Sloun (Researcher), Pieter J.A. Harpe (Researcher), Noortje A.M. Bax (Content manager), Daniëlle van der Hagen (Content manager) & Rianne Sanders (Content manager)
Impact: Research Topic/Theme (at group level)
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Neurology
Rob M.C. Mestrom (Researcher), Sveta Zinger (Researcher), Noortje A.M. Bax (Content manager), Daniëlle van der Hagen (Content manager) & Rianne Sanders (Content manager)
Impact: Research Topic/Theme (at group level)
File -
Perinatology
Rik Vullings (Researcher), Carola van Pul (Researcher), Noortje A.M. Bax (Content manager), Daniëlle van der Hagen (Content manager) & Rianne Sanders (Content manager)
Impact: Research Topic/Theme (at group level)
File
Student theses
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Active Subsampling using Deep Generative Models by maximizing Expected Information Gain
Author: van de Camp, K. C. E., 22 Jun 2022Supervisor: van Sloun, R. J. G. (Supervisor 1) & Guerreiro Tomé Antunes, D. J. (Supervisor 2)
Student thesis: Master
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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. G. (Supervisor 1) & Paulides, M. M. (Supervisor 2)
Student thesis: Master