What is the submission deadline for ISBI 2016?

The paper submission deadline for ISBI 2016 (International Symposium on Biomedical Imaging) is 2015-11-02 (extended).

Where is ISBI 2016 held?

ISBI 2016 is held in Prague, Czech Republic.

When does ISBI 2016 take place?

ISBI 2016 takes place on 2016-04-13.

What is the ranking of ISBI?

ISBI is ranked QUALIS B1. These are categorical rankings maintained by the respective bodies (China Computer Federation, CORE Inc., and Brazilian CAPES).

Conference Information

ISBI 2016: International Symposium on Biomedical Imaging

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Submission Date:

2015-11-02 Extended

Notification Date:

2015-12-23

Conference Date:

2016-04-13

Location:

Prague, Czech Republic

Years:

13

QUALIS: b1 Viewed: 32424 Tracked: 6 Attend: 1

Call For Papers

ISBI 2016 (International Symposium on Biomedical Imaging) is a QUALIS B1 conference held in Prague, Czech Republic on 2016-04-13. The paper submission deadline is 2015-11-02 (extended). Acceptance notifications are sent on 2015-12-23.

The IEEE International Symposium on Biomedical Imaging (ISBI) is a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biomedical imaging, across all scales of observation. It fosters knowledge transfer among different imaging communities and contributes to an integrative approach to biomedical imaging.

ISBI is a joint initiative from the IEEE Signal Processing Society (SPS) and the IEEE Engineering in Medicine and Biology Society (EMBS). The 2016 meeting will include tutorials, and a scientific program composed of plenary talks, invited special sessions, challenges, as well as oral and poster presentations of peer-reviewed papers.

High-quality papers are requested containing original contributions to the topics of interest including image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological, and statistical modeling. Accepted 4-page regular papers will be published in the symposium proceedings published by IEEE and included in IEEE Xplore.

To encourage attendance by a broader audience of imaging scientists and offer additional presentation opportunities, ISBI 2016 will continue to propose a second track featuring posters selected from 1-page abstract submissions without subsequent archival publication.

Paper format

Papers are limited to 4 pages, with an additional $200 fee for up to 1 extra page. Four pages must contain technical content, figures, and references, while the 5th page may contain only references. This is the maximum number of pages that will be accepted, including all figures, tables, and references. Any documents that exceed the 5-page limit, or that have a 5th page containing anything other than references, will be rejected.

Instructions for authors

    Download the ISBI Manuscript templates. Templates will be available later
    Manuscripts are submitted online. The link will be available later
    Accepted papers MUST be presented by one of the authors in person, at the conference site, and according to the final schedule. Any paper accepted into the technical program but not presented on-site will be withdrawn from the official proceedings archived on IEEE Xplore. The presenter MUST register for the conference by the author registration deadline. Failure to register before this deadline will result in automatic withdrawal of the paper from the conference proceedings and program.
    An individual can be first author of at most two paper submissions. There is no limit on individuals being co-authors of paper submissions.
    At least one author on each paper MUST register at a non-student rate (i.e., a student presenter MUST register at a non-student rate IF no co-author of the presented paper is registered at a non-student rate).

Last updated by Dou Sun in 2015-10-24

Best Papers

Year	Best Papers
2020	Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data
2020	ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning
2020	Discovering Salient Anatomical Landmarks by Predicting Human Gaze

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