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Submissions open on 13 May 2023: CMT for OMIA-X @ MICCAI2023
Submit your 8+2 pages MICCAI format paper following the Submission instructions
Important dates are available Here
HDMI Lab is currently recruiting postdoctoral fellows, PhD students, and master's students in the fields of medical image processing and medical data processing. Interested individuals can contact Prof. Xu (xuyanwu@scut.edu.cn), the head of the lab, at any time. For more details, please refer here.
Join us at the MICCAI challenge for the STAGE organized by HDMI Lab in collaboration with Zhongshan Ophthalmic Center, Sun Yat-sen University. Registration is now open!
The challenge focuses on predicting functional information from ophthalmic structural images, specifically on predicting visual field defects in glaucoma based on 3D OCT images. We welcome participants from all backgrounds to compete in this exciting event.
For more information and to register, please visit: https://aistudio.baidu.com/aistudio/competition/detail/968/0/introduction
Don't miss out on this opportunity! Join the STAGE Challenge and showcase your skills in ophthalmic image analysis.
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
Crowd sourcing