Submission site: https://cmt3.research.microsoft.com/IMIC2016
- Tammy Riklin Raviv, The Department of Electrical and Computer Engineering, Ben-Gurion University
- Steve Pieper, Isomics, Inc., Surgical Planning Lab
- Yi Gao, Departments of Biomedical Informatics, Computer Science, and Applied Mathematics. Stony Brook University
- Bjoern Menze, TU Munchen
- Tina Kapur, Brigham and Women's Hospital, Surgical Planning Lab
- Jim Miller
- Sarah Frisken
- Guillaume Pernelle
- Andre Mastmeyer
- Moti Friman
- Sylvain Bouix
- Peter Savadjiev
- Andrey Fedorov
- Shiri Gordon
- Danna Gurari
- Mauricio Reyes
- Rudolph Pienaar
- Dan Blezek
- Mike Halle
- Liangjia Zhu
- Ivan Kolesov
- Yangming Ou
- Michael Wels
Paper Submission Process
Submissions will be carefully peer-reviewed by a selected group of researchers with extensive experience in IMIC. Workshop presentations are expected to represent a cross section of the best available research in this area. As this is an emerging field that has not been historically well-covered in the MICCAI literature, accepted submissions will set a precedent that can be expected to be widely discussed.
Note that the online submission system allows upload of supplementary files, so you may include a video, links to project information or online content, and/or a description of your live demo.
Materials from the workshop will be collated and made available via the InteractiveMedical.org web site as a record of the event and a resource to the field.
- Papers should be formatted using the LNCS style files.
- Papers should have 4-8 pages, but shorter papers accompanied by videos or live demonstrations will also be given full consideration.
- Submissions with video and/or proposing live demonstration will be given higher priority for oral presentation.
Submitted work has to be original, not identically submitted in parallel to other conferences or workshops. We accept papers that provide further detail on algorithms also validated in the MICCAI challenge workshops. We ask authors to reference the challenge contribution explicitly.
The review of the papers will be double-blind to the extent physically possible.
Submissions should be anonymous according to the MICCAI guidelines.
Previous MICCAI submissions
If desired authors can upload the MICCAI reviews and rebuttal to be considered by the workshop chairs.
Patent disclosure policy
The purpose of the workshop is to exchange ideas and methods to advance the state of medical care. Attendees
of the workshop and readers of the proceedings are expected to be able to implement and use the presented methods
in their own work.
Any restrictions on the usability of presented methods,
whether for commercial or for non-commercial applications, must be disclosed.
This information should be included in a separate section at the end of text in the final ('camera-ready') version of the manuscript, and it will be printed in the proceedings in order to help your readers to make informed decisions.
The Medical Image Computing literature traditionally favors fully-automated analysis algorithms that offer the potential high throughput, objective, and reproducible results for large data collections. However fully-automated techniques are not able to handle many time-critical tasks, nor can they handle tasks that require contextual or general knowledge not readily available in the images alone. This workshop addresses the topic of human interaction with algorithms for initialization, steering, quality control, and visualization for problem domains such as segmentation and registration, object detection, tracking. The workshop format encourages hands-on demonstrations to stimulate interaction between developers and the user community of clinicians, neuroscientists, and biologists. Attendees are encouraged to bring challenging real-world datasets and allow active experimentation with various tools on different data. In the call for participation in the workshop we ask for extended abstracts or short papers that are accompanied by live demos. Our focus will be on original methods and elegant implementations that establish a human-machine dialog. Evaluation will be based on productivity, accuracy, simplicity, and overall user experience.