MILLanD 2023: 2nd Workshop on Medical Image Learning with noisy and Limited Data Vancouver Convention Centre Vancouver, Canada, October 8-12, 2023 |
Conference website | https://miccaimilland.wixsite.com/milland2023 |
Submission link | https://easychair.org/conferences/?conf=milland2023 |
Submission deadline | June 25, 2023 |
Note (updated 06/20/2023): Please check the MILLanD 2023 workshop website (https://miccaimilland.wixsite.com/milland2023) for the correct paper submission site link.
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 special interest include, but are not limited to:
- Transfer learning and data augmentation
- Domain adaptation/generalization
- Zero-shot, few-shot, mid-shot, and many-shot training
- Weakly-supervised learning, semi-supervised, and human-in-the-loop (active) learning
- Self-supervised and unsupervised learning
- Learning in “long-tail” scenarios
- Learning with noisy/corrupted data or uncertain labels
- Optimal data and source selection for effective training
- Synthetic data for medical image analysis
- Approaches for semi-automated medical image annotation/labeling
- Novelty and drift detection to identify when more data needs to be labeled
- Methods to reduce modal biases and improve model fairness
- Methods to identify mislabeled images and improve data quality
- New datasets and metrics to evaluate the benefit of such methods
Submission Guidelines
We welcome short or full length papers:
Posters: We encourage the submissions of short papers (2-4 pages) describing new, previously, or concurrently published research or work-in-progress. The paper will be published in the workshop webpage and presented as posters.
Full papers: We encourage the submissions full length papers (8 pages excluding references) describing new work that has not been previously published. Accepted papers will be presented as orals and published with MICCAI Proceedings in the Springer LNCS Series.
- Please carefully read MICCAI Submission Guidelines when preparing your submission.
- The reviewing process is double-blind. Authors should avoid providing information that may identify them in the acknowledgments (e.g., grant IDs) or citations. Avoid providing links to websites that may identify any of the authors. Violation of any of these guidelines may lead to rejection without further review.
- The papers will be reviewed by at least three referees. All papers will be evaluated by external reviewers and area chairs.
- Authors of all accepted papers will be invited to present their work either as a poster or an oral.
- We strongly encourage authors to highlight the contribution of all authors in the paper.
- We strongly encourage authors to improve the reproducibility of their research along three directions: open data, open implementations, and appropriate evaluation design and reporting.
Paper template: Please use the most recent MICCAI2023 template.
Invited Speakers
- Islem Rekik, Ph.D., Imperial College London
- Ulas Bagci, Ph.D., Northwestern University
Committees
Organizing committee
- Zhiyun Xue, Ph.D., National Library of Medicine
- Sameer Antani, Ph.D., National Library of Medicine
- Ghada Zamzmi, Ph.D., National Library of Medicine
- Feng Yang, Ph.D., National Library of Medicine
- Sivaramakrishnan Rajaraman, Ph.D., National Library of Medicine
- Sharon Xiaolei Huang, Ph.D., Penn State University
- Marius George Linguraru, Ph.D., Children's National Hospital
Program Committee (ordered by last name)
- Amogh Adishesha, Penn State University
- Sayed Ahmed, Ph.D., Milwaukee School of Engineering
- Syed Anwar, Ph.D., Children's National Hospital
- Somenath Chakraborty, Ph.D., West Virginia University
- Kexin Ding, University of North Carolina at Charlotte
- Prasanth Ganesan, Ph.D., Stanford Cardiovascular Medicine
- Zhifan Gao, Ph.D., Sun Yat-sen University
- Alba García Seco de Herrera, Ph.D., University of Essex
- Peng Guo, Ph.D., Massachusetts General Hospital and Harvard Medical School
- Mustafa Hajij, Ph.D., University of San Francisco
- Zhifan Jiang, Ph.D., Children's National Hospital
- Alexandros Karargyris, Ph.D., IHU Strasbourg
- Eung-Joo Lee, Ph.D., Massachusetts General Hospital and Harvard Medical School
- Xiang Li, Ph.D., Massachusetts General Hospital and Harvard Medical School
- Sheng Lian, Ph.D., Fuzhou University
- Ismini Lourentzou, Ph.D., Virginia Tech University
- Haomiao Ni, Penn State University
- Anabik Pal, Ph.D., SRM University-AP
- Harshit Parmar, Ph.D., Texas Tech University
- Rahul Paul, Ph.D., Massachusetts General Hospital and Harvard Medical School
- Md Sirajus Salekin, Ph.D., Amazon
- Rory Sayres, Ph.D., Google
- Mennatullah Siam, Ph.D., York University
- Elena Sizikova, Ph.D., Food and Drug Administration
- Paolo Soda, Ph.D., University Campus Bio-Medico di Roma
- Bella Specktor, Hebrew University of Jerusalem
- Lihui Wang, Ph.D., Guizhou University
- Yuan Xue, Ph.D., Johns Hopkins University
- Miaomiao Zhang, Ph.D., Capital Normal University
- Qilong Zhangli, Rutgers University
Publication
Accepted papers will be included in joint proceedings of MICCAI 2023 satellite events published by Springer Nature in their Lecture Notes in Computer Science (LNCS) series.
Venue
The conference will be held in Vancouver Convention Centre Canada in conjunction with MICCAI 2023.
Contact
All questions about submissions should be emailed to zhiyun.xue@nih.gov