SICSA Medical Image Analysis Workshop

Date(s) - 27/03/2015
All Day

Queen Mother Building

This one-day workshop on Medical Image Analysis forms part of a series of events organised in the SICSA Medical Imaging and Sensing in Computing Theme. Anyone with an interest in medical image analysis research from whatever perspective, be it technical, clinical, or biological, is welcome to participate. The workshop is FREE but please register in advance to secure your place. Lunch and coffee will be provided.

Event page:

Eventbrite link for registration is:

The workshop will include contributed oral and poster presentations, as well as invited talks. We invite submission of abstracts from those interested in presenting. We will aim to accept as many submissions as possible to promote discussion and collaboration. However, we reserve the right to make selections given space and time constraints and the desire for a varied, high-quality programme.

We encourage contributions from researchers in academia or industry working on medical image analysis or in related areas such as medical imaging, machine learning, data science, health informatics, or bioimage informatics. In addition to presentations describing well-developed research results, we encourage descriptions of work-in-progress, research challenges, positions on emerging topics, and system demonstrations. In particular, PhD students are encouraged to submit and to take this opportunity to  present their work, receive feedback and forge collaborations.

Topics of relevance include but are not limited to:

All modalities: MRI, fMRI, PET, ultrasound, OCT, light microscopy etc.
Analysis of images of cells, tissue, organs, whole-body
Multimodal and multiscale image analysis
Segmentation, registration, detection and recognition
Motion analysis and tracking
Machine learning and data mining for medical image analysis
Modelling linked image and non-image data (clinical, genetic, etc.)
Computer-aided radiology, pathology, surgery
Interactive annotation of medical images
Validation of medical image analysis algorithms and software, crowd sourcing
Knowledge discovery (elucidating disease mechanisms, disease subtypes etc.)

A submitted abstract should be 1-page in length with one additional page allowed for references. Please follow the Submission Guidelines on the website: A book of abstracts will be made available to workshop participants on the day as well as on the website.


Submission deadline: 27 February

Notification: 5 March


Shazia Akbar, Andrew McNeil, Jianguo Zhang, Manuel Trucco, Stephen McKenna, from the University of Dundee.


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