The CBMI 2019 conference adheres to the IEEE paper formatting guidelines. When preparing your submission, please follow the IEEE guidelines given by IEEE at the Manuscript Templates for Conference Proceedings.Page limits are (including all the contents, figures, tables, references, results, etc):
The Paper Submission System is now open. CBMI2019 is a multi-track submission system, allowing submissions for regular papers, short papers, demo papers, and special session papers. Please choose the appropriate type when submitting your papers.
Authors are invited to submit original papers to the regular sessions, or to one of two special sessions on “Medical Image Mining and Health” (MIME) and “Signals And Multimedia” (SAM).
Within the last decade we have observed the emergence of multimedia data analysis, indexing, and mining in many new domains, including medicine and personal health. For example, in the field of medical surgery interventional videos are nowadays recorded and stored in a long-term archive, in order to analyze and investigate them for post- procedural scenarios, such as operation documentation, surgical error analysis, as well as training and teaching surgery techniques. Similarly, in the field of health monitoring, input from various sensors is now used to supervise patients, supervise their health status, and mine potential health threats from their data, for example. Other relevant lines of research include analysis of medical images for diagnosis decision support, visual analytics for case understanding and causal analysis, multimedia analysis and multimodal interaction with social agents for basic care, video monitoring and multimedia fusion for remote management of patients. This special session aims to bring together researchers working on analysis, indexing, and mining of multimedia data in the field of medicine and health and provide them a venue for sharing novel ideas and discuss their most-recent works. Authors are invited to submit full length papers (6 pages in IEEE double-column format) via the submission site of CBMI 2019 to the “Special Session 1: Medical Image Mining and Health (MIME)” track. Each submission will be peer-reviewed by 2-3 PC members (single-blind).
SaM (Signals and Multimedia) is a special session at CBMI 2019 that aims to bring together researchers who use signals (of any kind) as a means to enrich multimedia data and support access. In our viewpoint, signals represent any form of metadata that accompanies multimedia content, such as locations with photos, annotations with video, etc. The SaM special session welcomes contributions relating to all aspects of signals and multimedia, and particularly from approaches that may leverage atypical types of information that augment how we use or think about indexing, browsing, managing, visualising and analysing multimedia data. Similarly, contributions are welcome from those who use biosignals (e.g. EEG, GSR, ECG, EOG, Eye-tracking, Facial Activity, etc) and other types of human-generated signals. Authors are invited to submit full length papers (4-6 pages in IEEE double-column format) via the submission site of CBMI 2019 to the “Special Session 2: Signals And Multimedia (SAM)” track. Each submission will be peer-reviewed by 2-3 PC members (single-blind).
Topics of interest include (but are not limited to):
Important Dates:
Topics of interest include (but are not limited to):
Important Dates:
© CBMI 2019 - 4-6 Sept 2019 - Dublin, Ireland