• Groene Loper, Building 15, Gemini-South 2.106, Secretary Rina van Dijck-Postma

    5612 AZ Eindhoven

    Nederland

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.

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 tijdschriftTijdschriftartikelAcademicpeer 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/CongresprocedureConferentiebijdrageAcademicpeer 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., 1902.09159

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademic

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: AndersOverigPopulair

MVPP

Seb Harrevelt (Ontvanger), 1 feb 2019

Prijs: AndersOverigPopulair

profiles

Activiteiten 2006 2019

Reached an uncanny level of Pure Profile editing

Seb Harrevelt (Ontvanger)
1 feb 2019

Activiteit: Types andere activiteitenOverigePopulair

The European Alliance of Medical and Biological Engineering and Science (EAMBES) (Externe organisatie)

Bart M. ter Haar Romeny (Lid)
2012

Activiteit: Types lidmaatschapLidmaatschap van commissieWetenschappelijk

ICT Innovatieplatform Brain & Cognition (Externe organisatie)

Bart M. ter Haar Romeny (Lid)
20102013

Activiteit: Types lidmaatschapLidmaatschap van raadProfessioneel

Impacts

Brain Image Analysis

Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Content manager), Sylvia van Beek - Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Cardiovascular Image Analysis

Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Content manager), Sylvia van Beek - Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Crowdsourcing for Medical Image Analysis

Josien P.W. Pluim (Content manager), Rina van Dijck - Postma (Administratieve ondersteuning), Sylvia van Beek - Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager)

Impact: Research Topic/Theme (at group level)

Scripties/masterproeven

A computational biology framework: a data analysis tool to support biomedical engineers in their research

Auteur: Beishuizen, T., 29 nov 2018

Begeleider: 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 2017

Begeleider: 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 2018

Begeleider: Pluim, J. (Afstudeerdocent 1) & Walsum, van, T. (Externe persoon) (Externe coach)

Scriptie/masterproef: Master