Onderzoeksoutput per jaar
Organisatieprofiel
Introductie / missie
Developing methods and applications for medical imaging, to improve clinical care.
Highlighted phrase
Supporting clinicians with image analysis
Over de organisatie
Imaging is a crucial element of all stages of medical care: from screening, diagnosis, prognosis and treatment, to the monitoring of therapy. With the increasing size and complexity of images, automated image analysis is an indispensible support for clinicians. Moreover, it opens novel ways to improve care.
We contribute to this rapidly growing field by developing new concepts for medical image analysis as well as applications that support clinicians in their decision making, ultimately aiming for safer and better care.
Our group investigates image analysis on methodological topics as registration, quantification, crowdsourcing and machine learning. In close contact with industry and hospitals, we contribute to the field of image analysis for oncology, cardiology, neurology and histopathology as well as the field of high-field MRI acquisition and RF safety.
We provide courses on the topic of Medical Image Analysis in both the Bachelor's and the Master's curriculum (both BME and ME programs). In cooperation with the University Medical Center Utrecht we offer a joint master in Medical Imaging.
Netwerk
Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.
Profielen
Samaneh Abbasi-Sureshjani
- Faculteit Biomedische Technologie, Medical Image Analysis - Onderzoeker, Promovendus
Persoon: Prom. : Promovendus, OWP : Docent / Onderzoeker
Yasmina Al Khalil
- Faculteit Biomedische Technologie, Medical Image Analysis - Promovendus
Persoon: Prom. : Promovendus
Sina Amirrajab
- Faculteit Biomedische Technologie, Medical Image Analysis - Promovendus
Persoon: Prom. : Promovendus
Onderzoeksoutput 1977 2019
A deep learning method for image-based subject-specific local SAR assessment
Meliadò, E. F., Raaijmakers, A. J. E., Sbrizzi, A., Steensma, B. R., Maspero, M., Savenije, M. H. F., Luijten, P. R. & van den Berg, C. A. T., 4 sep 2019, In : Magnetic Resonance in Medicine.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open Access
Learning
Computer Simulation
Safety
Uncertainty
Prostate
Approximation of a pipeline of unsupervised retina image analysis methods with a CNN
Heslinga, F., Pluim, J., Dasht Bozorg, B., Berendschot, T., Houben, A. J. H. M., Henry, R. M. A. & Veta, M., 1 mrt 2019, Image Processing: SPIE Medical Imaging, 2019, San Diego, California, United States. Angelini, E. D. & Landman, B. A. (redactie). Bellingham: SPIE, 7 blz. 109491N. (Proceedings of SPIE; vol. 10949)Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Biomarkers
Image analysis
Pipelines
Neural networks
Medical problems
A survey of crowdsourcing in medical image analysis
Ørting, S., Doyle, A., Hirth, M., van Hilten, A., Inel, O., Madan, C. R., Mavridis, P., Spiers, H. & Cheplygina, V., 25 feb 2019, In : arXiv. 12 blz., 1902.09159Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic
Open Access
Bestand
Image analysis
Astrophysics
Medical imaging
Metadata
Learning algorithms
Prijzen
Achievement for having a profile with more information
Seb Harrevelt (Ontvanger), 1 feb 2019
Prijs: Anders › Overig › Populair
profiles
Activiteiten 2006 2019
Reached an uncanny level of Pure Profile editing
Seb Harrevelt (Ontvanger)1 feb 2019
Activiteit: Types andere activiteiten › Overige › Populair
The European Alliance of Medical and Biological Engineering and Science (EAMBES) (Externe organisatie)
Bart M. ter Haar Romeny (Lid)2012
Activiteit: Types lidmaatschap › Lidmaatschap van commissie › Wetenschappelijk
ICT Innovatieplatform Brain & Cognition (Externe organisatie)
Bart M. ter Haar Romeny (Lid)2010 → 2013
Activiteit: Types lidmaatschap › Lidmaatschap van raad › Professioneel
Pers/media
AI can segment white-matter hyperintensities on MRI
22/04/19
1 item van media-aandacht
Pers / media: Vakinhoudelijk commentaar
Crowdsourcing for Medical Image Analysis wins Lorentz-eScience workshop competition ...
7/08/17
1 item van media-aandacht
Pers / media: Vakinhoudelijk commentaar
A randomized controlled trial of an image-guided system versus manual marking in the alignment of toric intraocular lenses in cataract surgery
2/06/17
1 item van media-aandacht
Pers / media: Vakinhoudelijk commentaar
Impacts
Brain Image Analysis
Cardiovascular Image Analysis
Crowdsourcing for Medical Image Analysis
Scripties/masterproeven
A computational biology framework: a data analysis tool to support biomedical engineers in their research
Auteur: Beishuizen, T., 29 nov 2018Begeleider: Bosnacki, D. (Afstudeerdocent 1), Cheplygina, V. (Afstudeerdocent 2), Hilbers, P. (Afstudeerdocent 2), Fletcher, G. (Afstudeerdocent 2) & Vanschoren, J. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Analyzing the relation between brain lesions and short association fibers using diffusion MRI
Auteur: Kamps, J., jun 2017Begeleider: Sepasian, N. (Afstudeerdocent 1), Fuster, A. (Afstudeerdocent 2) & Pluim, J. (Afstudeerdocent 2)
Scriptie/masterproef: Master
Automated spinous process segmentation in X-ray images using convolutional neural networks
Auteur: Roodhorst, S., 17 dec 2018Begeleider: Pluim, J. (Afstudeerdocent 1) & Walsum, van, T. (Externe persoon) (Externe coach)
Scriptie/masterproef: Master