Medical Image Analysis groupThe
Medical Image Analysis Group, led by Prof. Josien Pluim, aims to create solutions that help
support diagnosis, prognosis and image-guided treatment in clinical care. The group's research
includes applied as well as methodological innovations to advance analysis of medical
images. The research has a strong focus on machine and deep learning. The group is internationally competitive in the field of medical imaging.
The current faculty of the group cover a range of research areas, including image analysis and
quantification for cardiology, neurology and oncology. More specifically, the group is known for its
work in the field of computational pathology. Another a strong line is on MR image
analysis and RF safety through collaborations with Philips and with the University Medical Center
Utrecht. A third key focus is on AI-based image guidance of therapies (radiotherapy with the novel MR-linac
system, robot-assisted surgery).
Continued advancement of methodology is crucial and all faculty work on methodological innovation
in parallel to their applied focus. Examples include deep learning methods for image synthesis and
deformable image registration.
The group is involved in
EAISI, TU/e's cross-departmental institute for Artificial Intelligence, and in
several national and international AI consortia. Research is performed in direct collaboration with
clinical partners. Furthermore, industrial partners closely participate in a large percentage of the
projects.
The educational curriculum of the group concerns machine learning and medical imaging at the
bachelor and master level for students of the
Department of Biomedical Engineering. Moreover, a
joint master track in medical imaging was initiated together with the Center for Image Sciences at
the University Medical Center Utrecht.
Collaborations and opportunitiesThe medical imaging field in the Netherlands is extensive and internationally leading. The Medical
Image Analysis group at TU/e is positioned well within the Dutch landscape, with good connections
to the other groups. We are a partner in large national research consortia, but also participate in
various international networks.
In the Department of Biomedical Engineering, imaging and AI are topics of common interest across
research groups, as for instance in ultrasound imaging and systems biology. Within TU/e,
collaborations exist with the Department of Electrical Engineering, on for example neuroimaging,
and with the Department of Mathematics and Computer Science, on methodological advancements
of AI.