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Scope of the Workshop

Age-related macular degeneration, diabetic retinopathy, and glaucoma are the main causes of blindness in both developed and developing countries. The cost of blindness to society and individuals is huge, and many cases can be avoided by early intervention. Early and reliable diagnosis strategies and effective treatments are therefore a world priority. At the same time, there is mounting research on the retinal vasculature and neuro-retinal architecture as a source of biomarkers for several high-prevalence conditions like dementia, cardiovascular disease, and of course complications of diabetes.
Automatic and semi-automatic software tools for retinal image analysis are being used widely in retinal biomarkers research, and increasingly percolating into clinical practice. Significant challenges remain in terms of reliability and validation, number and type of conditions considered, multimodal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies, to mention a few. The workshop will address all these aspects and more, in the ideal interdisciplinary context of MICCAI.

Objectives

This workshop aims to bring together scientists, clinicians, and students from multiple disciplines in the growing ophthalmic image analysis community, such as electronic engineering, computer science, mathematics, and medicine, to discuss the latest advancements in the field.

Topics of interest include, but are not limited to

  • Computer-aided detection and diagnosis of disease
  • Image analysis of novel ophthalmic imaging modalities
  • Multimodal ophthalmic image analysis
  • Ophthalmic image atlases
  • Ophthalmic image analysis in animals
  • Registration of ophthalmic images, including multimodal
  • Segmentation of structures (e.g., vasculature, lesions, landmarks)
  • Combined analysis of images of the eye and other organs
  • Validation
  • Crowdsourcing

Special Issue @ BEOL

(a BMC journal by Springer Nature, latest IF =2.059) 
https://www.biomedcentral.com/collections/ophthimage

The submission opens now and the submission deadline is Dec 14, 2021. 

Original papers or extensions of accepted OMIA workshop papers are welcome!

The only difference from a NORMAL SUBMISSION is that you need to indicate this submission is part of the collection "Ophthalmic Image Analysis".


Important Dates

~Authors are recommended to submit a placeholder in the CMT system by Jun 15

~Allowed submission of rejected main-conference MICCAI papers [in this case, the authors should provide: (1) their original submission, (2) the reviews from the main conference submission, (3) a response to the reviewer comments, and a description of what has changed in the new submission, and (4) their new submission]

  • Jul 16  Jul 24  Notification of Paper Decisions
  • Jul 30    Camera-Ready papers due
  • Sep 27  OMIA8 Workshop
  • Dec 14   Submission deadline of OMIA special issue @ BEOL

Organization

Workshop Organizers (Alphabetic Order)

Huazhu Fu, Inception Institute of Artificial Intelligence (IIAI), United Arab Emirates, huazhufu@gmail.com
Mona K. Garvin, University of Iowa, U.S.A., mona-garvin@uiowa.edu
Tom MacGillivray, University of Edinburgh, U.K., T.J.MacGillivray@ed.ac.uk
Frank Yanwu Xu (also GAMMA contest), Baidu Inc., China, ywxu@ieee.org
Yalin Zheng, University of Liverpool, U.K., yalin.zheng@liverpool.ac.uk

Program Committee (Alphabetic Order) - to be updated

Min Chen, University of Pennsylvania
Geng Chen, Inception Institute of Artificial Intelligence
Deng-Ping Fan, Inception Institute of Artificial Intelligence
Dongxu Gao, University of Liverpool
Zaiwang Gu, Southern University of science and technology
Meijing Guo, ShanghaiTech University
Stephen Hogg, University of Dundee
Yan Hu, Southern University of Science and Technology
Baiying Lei, Shenzhen university
Xiaomeng Li, The Chinese University of Hong Kong
Huiying Liu, Institute for Infocomm Research
Dwarikanath Mahapatra, Inception Institute of Artificial Intelligence
Muthu Rama Krishnan Mookiah, University of Dundee
Emma Pead, University of Edinburgh
Mingkui Tan, South China University of Technology
Jui-Kai Wang, University of Iowa
Jiong Zhang, University of Southern California
Shihao Zhang, South China University of Technology
Tianyang Zhang, University of Birmingham
Yitian Zhao, Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences
Tao Zhou, Inception Institute of Artificial Intelligence
Yi Zhou, Inception Institute of Artificial Intelligence