CLIP 2021 provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data. Submissions related to applications already in use and evaluated by clinical users are particularly encouraged. We explicitly welcome novel techniques and applications that are looking at combining image analysis with clinical data mining and analytics, user studies, and other heterogeneous data.
Papers can be up to 10 pages. All submissions will be peer-reviewed by at least 3 members of the program committee. Reviewing is double-blind so authors have to prepare their manuscripts such that their identity cannot be derived from their submission. The selection of papers will be based on the significance of results, novelty, technical merit, relevance and clarity of presentation.
Electronic paper proceedings will be arranged. The papers will be published in a Springer Lecture Notes in Computer Science (LNCS) proceeding. LNCS is indexed by Scopus, ACM Digital Library, DBLP, Conference Proceedings Citation Index (part of Clarivate Analytics’ Web of Science), and others. More details about indexing can be found here.
Please use the LNCS templates available on the Springer web site to prepare your paper.
Please submit your paper to CLIP 2021 here.
|By submitting a paper the authors confirm that their work is original, unpublished, and not concurrently submitted to another conference or journal. In case of acceptance, at least one author has to register and present the paper at CLIP 2021.|
Contact: info (at) miccai-clip (dot) org