CALL FOR PAPERS: 4th Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI LABELS)
With the proliferation of data-intensive methods in the MICCAI community, large high-quality databases have become central to the development and effective evaluation of new techniques in this domain. It is therefore essential to the growth of this field that practices around the curation of these databases be communicated and discussed. To this end, we propose to hold a fourth edition of the LABELS workshop (https://www.miccailabels.org).
The goal of LABELS is to bring researchers together to share ideas and resources around the principled collection and annotation of biomedical data. The proposed workshop features a diverse program including keynote talks from world-renowned experts in this area, interactive sessions in which participants work together to form coherent positions on relevant issues, and paper submissions addressing any of the following topics
– Active learning
– Semi-supervised learning
– Domain Adaptation, Self-supervision, and Transfer Learning
– Data Augmentation
– Human Factors in Data Curation
– Verification and Validation of Labels
– Modeling Label Uncertainty
– Training and Evaluation in the Presence of Noise
– Open Data and Open Scientific Practices
Because data annotation and expert labelling is strongly grounded in practical considerations, we welcome not only research contributions, but also encourage submitters to share war stories and practical feedback on successful or insightfully unsuccessful data collection experiences in real world settings. We call for two types of contributions:
– Full papers, 8-10 pages which will be published as proceedings in Lecture Notes in Computer Science (http://www.springer.com/lncs), to be presented as oral presentations and/or posters.
– Abstracts, 1-2 pages covering recent published work, preliminary results and/or open problems, to be presented during short spotlight presentations and/or posters.
The reviewing process will be single blind. The format for paper/abstract submission is the same as the main conference. (Guidelines: http://www.miccai2019.org).
29 April 2019 – Submission website open
24 June 2019 – Deadline for papers (extended!)
7 July 2019 – Deadline for abstracts
22 June 2019 – Notification to authors
29 July 2019 – Camera-ready papers
13 or 17 October 2019 – Workshop day in Shenzhen, China
For more information, please check our website, https://www.miccailabels.org
– Raphael Sznitman, University of Bern, Switzerland
– Veronika Cheplygina, Eindhoven University of Technology (TU/e), The Netherlands
– Diana Mateus, Technische Universität München (TUM), Germany
– Emanuele Trucco, University of Dundee, Scotland
– Nicholas Heller, University of Minnesota, USA