Research Output 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, 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).
Fingerprint Dive into the research topics where Biomedical Diagnostics Lab is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Prostatic Neoplasms
Medicine & Life Sciences
Electrocardiography
Engineering & Materials Science
Ultrasonography
Medicine & Life Sciences
Ultrasonics
Engineering & Materials Science
Monitoring
Engineering & Materials Science
Sleep
Medicine & Life Sciences
Fetal Heart Rate
Medicine & Life Sciences
Photoplethysmography
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Ronald M. Aarts
- Department of Electrical Engineering, Signal Processing Systems - Full Professor
- Department of Electrical Engineering, Biomedical Diagnostics Lab
- Department of Electrical Engineering, Center for Care & Cure Technology Eindhoven
Person: HGL : Professor
Tom H.G.F. Bakkes, MSc
- Department of Electrical Engineering, Signal Processing Systems - Doctoral Candidate
- Department of Electrical Engineering, Biomedical Diagnostics Lab
- Department of Electrical Engineering, Center for Care & Cure Technology Eindhoven
Person: Prom. : doctoral candidate (PhD)
Research Output 2000 2020
Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods
Wildeboer, R. R., van Sloun, R. J. G., Wijkstra, H. & Mischi, M., Jun 2020, In : Computer Methods and Programs in Biomedicine. 189, 15 p., 105316.Research output: Contribution to journal › Review article › Academic › peer-review
Artificial Intelligence
Artificial intelligence
Prostatic Neoplasms
Learning
Imaging techniques
Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs
Sun, Y., Kommers, D., Tan, T., Wang, W., Long, X., Shan, C., van Pul, C., Aarts, R. M., Andriessen, P. & de With, P. H. N., 2020, SPIE Medical Imaging. SPIEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics
Wildeboer, R. R., Mannaerts, C. K., van Sloun, R. J. G., Budäus, L., Tilki, D., Wijkstra, H., Salomon, G. & Mischi, M., Feb 2020, In : European Radiology. 30, 2, p. 806-815 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
Elasticity Imaging Techniques
Prostatic Neoplasms
Prostatectomy
ROC Curve
Area Under Curve
Prizes
The Netherlands
Eindhoven
Radiology
Cancer
National Archives
Best Poster Award 2017 in New Directions - Contrast Ultrasound
Rogier Wildeboer (Recipient), 20 Jan 2017
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Best Poster Award 2018 in New Directions - Contrast Ultrasound
Rogier Wildeboer (Recipient), 19 Jan 2018
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Activities 2002 2019
National Day on Biomedical Engineering: Artificial Intelligence in Medicine
Anouk van Diepen (Participant)28 Nov 2019 → 29 Nov 2019
Activity: Participating in or organising an event types › Conference › Scientific
Annual IEEE EMBS Benelux Chapter Symposium
Anouk van Diepen (Participant)28 Nov 2019
Activity: Participating in or organising an event types › Conference › Scientific
2019 IEEE International Ultrasonics Symposium, IUS 2019
Rogier R. Wildeboer (Participant)6 Oct 2019 → 9 Oct 2019
Activity: Participating in or organising an event types › Conference › Scientific
Press / Media
AI help for better diagnosis and treatment of prostate cancer
11/12/19
1 item of Media coverage
Press/Media: Expert Comment
Best poster award for Yizhou Huang at NCBME 2019
Yizhou Huang, Simona Turco & Massimo Mischi
29/11/19
1 Media contribution
Press/Media: Research
Detecting Sleep Apnea in Your Own Bed: Eindhoven University of Technology
Sebastiaan Overeem & Gabriele Papini
27/11/19
1 item of Media coverage
Press/Media: Expert Comment
Student theses
Adversarial deep learning in super resolution ultrasound
Author: Jeukendrup, K., 31 Jan 2019Supervisor: van Sloun, R. (Supervisor 1)
Student thesis: Master
Estimation of acoustical coefficient of nonlinearity
Author: Zeng, Y., 24 May 2018Supervisor: Mischi, M. (Supervisor 1) & Wijkstra, H. (Supervisor 2)
Student thesis: Master
Machine learning for classification of uterine activity during IVF cycles
Author: Bakkes, T., 13 Dec 2018Supervisor: Mischi, M. (Supervisor 1), Sammali, F. (Supervisor 2) & Schoot, B. (Supervisor 2)
Student thesis: Master