The SASHIMI 2022 workshop will accept 10-page method- and application-oriented papers (LNCS-Springer format, including references), more details below. Accepted papers will be published in a Lecture Notes in Computer Science volume published by Springer.
Deadline:Method-oriented paper: The main emphasis during the review process will be put on the novelty, correctness of the presented method, and proper validation of the results. The authors are expected to submit a full-length paper which will be (upon acceptance) included in the conference proceedings. Select “Method-oriented paper” as label when submitting on OCS.
Application-oriented paper: The main focus will be put on the novel application of an existing theoretical image synthesis method and the data which the given method is applied to. The data should be described in detail. For new data collected, the collection process should be described (experimental setup, device(s) used, image acquisition parameters, subjects/objects involved, instructions to annotators, methods for quality control). For existing datasets, citations, as well as descriptions if they are not publicly available, should be specified. If public, a link to a downloadable version of the dataset should be included. The authors are expected to submit a full-length paper which will be (upon acceptance) included in the conference proceedings. Select “Application-oriented paper” as label when submitting on OCS.