Medical Image Analysis

  • AddressShow on map

    Groene Loper, Building 15, Gemini-South 2.106, Secretary Erica Jansen

    5612 AZ Eindhoven

    Netherlands

Organization profile

Introduction / mission

Developing methods and applications for medical imaging, to improve clinical care.

Highlighted phrase

Supporting clinicians with image analysis

Organisational profile

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.

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):

  • SDG 3 - Good Health and Well-being

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Network

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  • Brain Image Analysis

    Josien P.W. Pluim (Content manager), Sylvia van Beek-Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager) & Erica Jansen (Content manager)

    Impact: Research Topic/Theme (at group level)

  • Cardiovascular Image Analysis

    Josien P.W. Pluim (Content manager), Sylvia van Beek-Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager) & Erica Jansen (Content manager)

    Impact: Research Topic/Theme (at group level)

  • Deep Learning for Image-Guided Therapies

    Josien P.W. Pluim (Content manager), Sylvia van Beek-Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager) & Erica Jansen (Content manager)

    Impact: Research Topic/Theme (at group level)