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First workshop on artificial intelligence applied to retinal image analysis

To be held in conjunction with the Asian Conference on Computer Vision 2018

Perth, Australia, Sunday December 2, 2018 (afternoon session) (WP#9, Level 2 River View Room 5)


About the workshop

Medical imaging has now embraced AI methods based on deep learning (DL) approaches for medical image analytics. This has been especially true for retinal image analysis where large annotated datasets have been available for over 10 years. Recent studies starting in 2016 have demonstrated on par with human performance for diagnostic tasks such as screening for diabetic retinopathy and macular degeneration. Recently, in 2018, the FDA approved the first software device for retinal diagnostics. The goal of this workshop is to showcase recent developments in AI for retinal image analysis and as a follow up on recent meetings at ARVO 2018 and APTOS 2018, and to bring together practitioners from different horizons that are interested in the development and application of AI and deep learning techniques to retinal imaging, including specialists from machine learning, deep learning, computer vision, ophthalmology, optometry, retinal specialists from academia and industry. While the focus of this workshop is primarily on retinal image analytics, the workshop will also address other main causes of blindness, such as cataract and glaucoma. The workshop will include invited talks as well as oral and poster submissions.

Scope and topics of interest

Important dates


Submissions are be handled electronically via this AIRIA 2018 paper submission Website

Guidelines for paper submission

Proceedings publication

Accepted and presented papers will be published after the conference in Springer’s Lecture Notes in Computer Science

Workshop registration

To have your paper included in the proceedings at least one of the authors must be registered at a full registration rate and attend the workshop.

The workshop registration is via the main ACCV 2018 conference registration pages.

Workshop organization

Philippe Burlina (JHU, APL, CS, USA)

Neil Bressler (JHU/Wilmer Eye Institute, USA)

Mingguang He (University of Melbourne, Centre for Eye Research Australia)

Lily Peng (Google Research and Verily, USA)

Gavin Tan Siew Wei (SingHealth, SEI, Singapore)

Daniel Ting Shu Wei (SingHealth /SERI, Singapore)

Tien Y Wong (SingHealth /SERI, Singapore)

Technical committee

Gregory Hager (Director, Malone Center for Engineering in Healthcare, and Dept. of Computer Science and Director, Johns Hokins University, USA)

Jerry Prince, (Professor, Dept. of Electrical Engineering, Johns Hokins University, USA)

Adrian Galdran (ISTEC, Institute for Systems and Computer Engineering, Technology and Science, Portugal, and Ecole de Technologie Superieure, CA)

Philippe Burlina (APL/CS, Johns Hopkins University, USA)

Neil Bressler (Wilmer Eye INstitute, Johns Hopkins University, USA)

Delia Cabrera DeBuc (Bascom Palmer Eye Institute. University of Miami Miller School of Medicine, USA)

Jun Kong (Department of Ophthalmology, 4th Affiliated Hospital of China Medical University, Eye Hospital of China Medical University, China)

Lily Peng (Google Research and Verily, USA)

T. Y. Alvin Liu (JHU/Wilmer Eye Institute, USA)

Daniel Ting Shu Wei (SingHealth /SERI, Singapore)

Tien Y Wong (SingHealth /SERI, Singapore)



13:30-15:30: session 1: technical/oral papers

15:35-16:00: poster session

13:30-15:30: session 2: clinical/invited presentations

Note that there may be some last minute modifications of the schedule because of unforeseen changes in availability of our speakers etc.

Please check this program link closer to December 2nd to confirm times.

Speakers please come in advance of the workshop start time (15 mins) to upload your presentations slides.

All presentations are 15 minutes including 2 mins for Q/A. Duration strictly enforced.

Workshop registration opens at 8:30

Invited clinical speakers

Daniel Ting Shu Wei, MD, PhD, (SingHealth/SERI, Singapore). Title: "AI for Ophthalmology: Present adn Future"

Angus Turner, MD, PhD, (Lions Eye Institute, University of Western Australia, AU). Title: "The Application of AI for Indigenous Population and Tele-Health in Australia"

Gavin Tan, MD, (SingHealth/SERI, Singapore). Title: "Implementation of AI in the Singapore Integrated Diabetic Retinopathy Screening Program"

Stuart Keel, PhD, (Centre for Eye Research Australia, University of Melbourne, AU). Title: "AI for DR Screening in Australia"

Yogesan Kanagasingam, PhD, (The Australian Ehealth Research Center, Commonwealth Scientific and Industrial Research Organisation (CSIRO), AU). Title: "Deployment of AI-based screening for diabetic retinopathy in real-world primary care clinical settings"

David Andrews, PhD, MBA (exec) (Chief Executive Officer, The Royal Australian and New Zealand College of Ophthalmologists). Title: "How RANZCO is positioning for the impact of AI on patient management"

Delia Cabrera DeBuc, PhD, (Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, USA). Title: "Recent developments in retinal analysis for individuals with Alzheimer disease and potential AI applications"