CLIP is about the effective translation of computational image-based techniques into the clinic filling the gaps between medical imaging, basic science and clinical applications. As it nowadays becomes more and more important for many clinical applications to base decisions not only on image data alone, a focus of CLIP is on the creation of holistic patient models. Here, image data such as radiologic images, microscopy images, and photographs is combined with non-image information such as ‘omics’ data (e.g. genomics, proteomics), life style data, demographics, EEG, and other to build a more complete picture of the individual patient and to subsequently provide better diagnosis and therapies.
Papers will be presented in a day long single track workshop starting with plenary sessions. The final program will consist of previously unpublished and contributed papers with substantial time allocated to discussion.
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.
Paper submission is possible until the deadline. Due to a problem with Springer OCS we switch to an e-mail-based submission this year.
The review process is double-blinded. Thus, anonymize your paper accordingly.
Please submit your manuscript by sending an e-mail to firstname.lastname@example.org. In case that you want to update your submission, just send the novel paper version to the above e-mail address before the deadline.
Best Paper Award
As in former years, one paper will be awarded the Best Paper Prize. Candidates will be pre-selected based on the review results. The final decision will be made by the audience of CLIP 2022.
By submitting a paper the authors confirm that their work is original, unpublished, and not concurrently submitted to another conference or journal.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 2022 either in person or virtually.
Contact: info (at) miccai-clip (dot) org