Call for Participation
Call for Papers
Authors are invited to submit original and unpublished research and application papers addressing all areas of biomedical visual information processing. Submissions are invited in the form of full papers (between 8 and 12 pages) and short papers to be presented in a poster session (between 6 and 8 pages).
We would like to particularly encourage papers demonstrating applications of the current state-of-the-art, e.g. papers critically evaluating methods’ limitations will be especially welcomed. A writing style which would make the papers easily accessible to colleagues in the medical and health sectors is to be particularly encouraged.
After review the full papers will be allocated to either oral or poster sessions, depending on the profile of the accepted papers to ensure thematically balanced sessions.
The authors of all the poster papers will have one minute to promote their paper during a podium pitch session. The authors of all the accepted papers including oral and poster presentation will also be encouraged to participate in the software demonstration session.
Short papers (between 2 and 6 pages) describing original software packages are also invited. The described software should be presented during the dedicated software demonstration session.
In recognition that colleagues working in the commercial sector are not always at a liberty to disclose the technical details of their work, we have proposed a special paper submission category where the focus is on software demonstrations, i.e. functionality and not necessarily technical details.
As a picture is worth a thousand words, workshop participants will be able to see software functionalities and possibly given an opportunity to interact with that software.
The authors of all the software demonstration papers will have one minute to promote their paper during a podium pitch session.
The organisers would hope that a fair number of these software demonstrations will be from a commercial sector. Unfortunately, the organisers will not be able to provide any hardware required for software demonstrations.
Suggested topics include, but are not limited to:
- Biomedical Computer Vision
- Applications of Machine Learning
- Deep Learning Methodologies
- Learning with Limited Data
- Big Data
- Reference Datasets
- Data Acquisition and Synthesis
- Image Segmentation, Registration and Recognition
- Detection and Tracking
- Multimodal Data Analysis
- Workflow Analysis
- Microscopy Image Analysis
- Human Machine Interfaces
- Treatment Planning and Monitoring
- Computer Aided Diagnosis and Surgery
- Health and Wellbeing Monitoring
- Portable Health
- Patient Management