• 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.

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Medical Image Analysis actief is. Deze onderwerplabels komen uit het werk van de leden van deze organisatie. Samen vormen ze een unieke vingerafdruk.

  • Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.

    Onderzoeksoutput

    Accelerating implant RF safety assessment using a low-rank inverse update method

    Stijnman, P. R. S., Tokaya, J. P., van Gemert, J., Luijten, P. R., Pluim, J. P. W., Brink, W. M., Remis, R. F., van den Berg, C. A. T. & Raaijmakers, A. J. E., 1 mei 2020, In : Magnetic Resonance in Medicine. 83, 5, blz. 1796-1809 14 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
    Bestand
  • 10 Downloads (Pure)

    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., 1 feb 2020, In : Magnetic Resonance in Medicine. 83, 2, blz. 695-711 17 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
    Bestand
  • 1 Citaat (Scopus)
    10 Downloads (Pure)

    A systematic approach to evaluate practice-based process- and outcome data applied to the treatment of neovascular age-related macular degeneration

    van der Reis, M. I., Elshout, M., Berendschot, T. T. J. M., de Jong-Hesse, Y., Webers, C. A. B. & Schouten, J. S. A. G., 9 jan 2020, In : BMC Ophthalmology. 20, 1, 10 blz., 21.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
    Bestand
    4 Downloads (Pure)

    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

  • Activiteiten

    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

    3D medical image segmentation with labeled and unlabeled data using autoencoders

    Auteur: Sital, C., 28 nov 2019

    Begeleider: Raaijmakers, A. (Afstudeerdocent 1), Weese, J. (Externe persoon) (Externe coach) & Brosch, T. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master

    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