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)
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.
AI-based automated and semi-automated diagnostics in retinal imaging including for diabetic retinopathy (DR), age-related macular degeneration (AMD), retinopathy of prematurity (ROP), ...
analysis of other ophthalmic conditions diagnostics (cataract, glaucoma, etc..)
fine grained severity grading
datasets and annotations tools and techniques for deep learning
validation methods
deployment of AI to actual clinical scenarios and challenges
generative methods
adversarial methods and implications
applications of AI to teleophthalmology
multi-modality applications of AI: OCT, fundus, FAF, hyperspectral, etc..
hardware and software systems and toolkits for AI-based retinal image analysis
Paper submission deadline: Oct 9 Sept 30
Notification of acceptance: Oct 19
Camera-ready deadline: Nov 2
AIRIA workshop: Dec 2
main conference dates: Dec 4-6
Submissions are be handled electronically via this AIRIA 2018 paper submission Website
Papers intended for preferred oral presentations to follow the same format as ACCV and a maximum of 14 pages and using LNCS format (see below) excluding pages for references
Papers for posters presentations to follow the Lecture Notes in Computer Science format with a recommended length of 4 pages and not to exceeed maximum length of 14 pages excluding references
Paper format should follow the guidelines for ACCV2018 paper submission including
Paper submission detailed instructions
Papers which go over page limits will be not be considered
See paper submission deadlines above
Accepted and presented papers will be published after the conference in Springer’s Lecture Notes in Computer Science
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.
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)
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)
SEE THE TENTATIVE PROGRAM HERE
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
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"