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).