Dear ImageJ developers and users,
Following the success of the first edition of the Workshop on BioImage Computing (BIC) at CVPR 2015, we organize the second edition of BIC in conjunction with ECCV 2016 (October), in Amsterdam, the Netherlands.
http://bioimagecomputing.com/The workshop aims to be of high interest both to bioimaging researchers looking for advanced computer vision solutions and to computer vision researchers looking for challenging bioimaging problems.
Paper Submission: 30 May 2016
Decision Notifications: 1 July 2016
Final Paper Deadline: 25 July 2016
Workshop: 8, 9, or 16th October 2016 (TBA)
Bioimage computing has known a tremendous development in recent years. State-of-the-art light microscopy (LM) can deliver 2D and 3D image sequences of living cells with unprecedented image quality and ever growing resolution in space and time. The emergence of novel diverse LM modalities has provided biologists with formidable means to explore cell mechanisms, embryogenesis, or neural development, to quote just a few fundamental biological issues. Electron microscopy (EM) supplies information on the cell structure down to the nanometer resolution. Correlating LM and EM to study life at the microscopic level, as well as animal behavior at the macroscopic level, is of paramount importance. In the face of huge data sets, amounting to multiple terabytes per volume or video, and exceedingly difficult analysis problems, state-of-the-art computer vision methods are required and need to be further developed.
This one-day workshop aims to bring the latest challenges in bioimage computing to the computer vision community members, allowing them to learn more about the specificities of bioimage computing and its current achievements. This includes important issues related to image modeling, denoising, super-resolution, multiscale segmentation, motion estimation, image registration, tracking, classification, event detection, topics which appertain to the computer vision field.
Topics of interest include but are not limited to:
- LM and EM image restoration and reconstruction
- Segmentation of subcellular objects, cells, and animals
- Dense motion estimation in 2D and 3D LM image sequences
- Diffusion computation
- 3D registration between bioimage stacks
- Multimodal image analysis (including correlative LM and EM)
- Tracking of particles, cells, and animals
- Automated behavior recognition
- Quantitative bioimaging
Papers should adhere to the ECCV 2016 proceedings style requirements (
http://www.eccv2016.org/submission/) and must be submitted online through the ECCV 2016 paper submission system. Submissions will be peer reviewed. Papers accepted and presented at the workshop will be published in the ECCV 2016 conference proceedings.
Workshop organizers:
Patrick Bouthemy (Inria)
Fred Hamprecht (HCI, University Heidelberg)
Erik Meijering (Erasmus University Medical Center)
Thierry Pecot (Inria)
Pietro Perona (Caltech)
Carter Rother (TU Dresden)
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