Call For Papers for MICCAI 2023 MILLanD Workshop

[Jaylene Xue]

MILLanD 2023: 2nd Workshop on Medical Image Learning with noisy and Limited Data

To be held in-person with the 26th International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI 2023), Vancouver, Canada

About

This MICCAI workshop aims to investigate new approaches for developing real-world medical image applications based on imperfect and limited data. The workshop will provide an interdisciplinary forum that brings together machine learning scientists, biomedical engineers, and medical doctors to discuss challenges and limitations of current techniques and present new techniques for training models under imperfect and limited availability of medical data. Topics of interests include, but not limited to:

        •       Data annotation strategies, data augmentation strategies

        •       Approaches for automated medical image annotation/labeling

        •       Approaches for medical image augmentation/synthesis

        •       Approaches for learning noise invariant features 

        •       Learning with noisy/corrupted data or uncertain labels

        •       Optimal data and source selection for effective training 

        •       Weakly-supervised, semi-supervised, self-supervised learning

        •       Transfer learning strategies and modality-specific representation 

        •       Learning in real-world and open environment scenarios

        •       Zero-shot learning and one-shot learning

        •       New datasets and metrics to evaluate the above methods 

Important Dates

        •       June 25, 2023 Submission Deadline

        •       July 16, 2023 Acceptance Notification

        •       July 30, 2023 Camera-Ready Deadline

        •       October 8, 2023 Workshop Date

Websites 

        •       Workshop:  https://miccaimilland.wixsite.com/milland2023

        •       Submission: https://cmt3.research.microsoft.com/MILLanD2023

Submission Instructions 

        •       Extended Abstracts: Short papers (2-4 pages) describing new, previously, or concurrently published research or work-in-progress. Accepted papers will be published in the workshop webpage and presented as posters.

        •       Full Length Papers: Full length papers (max. 8 pages excluding references) describing new work that has not been previously published. Accepted papers will be presented as orals/posters and published with MICCAI Proceedings in the Springer LNCS Series. Please carefully read the Submission

Guidelines when preparing your submission.

Keynote Speakers

        •       Dr. Islem Rekik, Imperial College London

        •       Dr. Ulas Bagci, Northwestern University

Organizers  

        •       Dr. Zhiyun Xue (National Library of Medicine), 

        •       Dr. Sameer Antani (National Library of Medicine), 

        •       Dr. Ghada Zamzmi (National Library of Medicine), 

        •       Dr. Feng Yang (National Library of Medicine), 

        •       Dr. Sivaramakrishnan Rajaraman (National Library of Medicine), 

        •       Dr. Sharon Xiaolei Huang (Penn State University), 

        •       Dr. Marius George Linguraru (George Washington University)