2nd MICCAI Workshop on

Ophthalmic Medical Image Analysis

Important information

Please see the list of accepted papers in Program.


Fri 19th June                paper submission
Fri 17th July                 acceptance/rejection notification
Mon 3rd August           final versions of accepted papers
Mon 10 August            workshop program published
Fri, 9 October, AM      MW-OMIA2 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. MW-OMIA2 will address all these aspects and more, in the ideal interdisciplinary context of MICCAI.
MW-OMIA2 follows the successful first edition held within MICCAI 2014, Boston. We aim to provide a comprehensive cross-section of the research in the field, and to create a thriving discussion forum, promoting interdisciplinary research, and encouraging international collaborations in this increasingly active and important field.

 These include, but are not limited to the following.
●  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 and evaluation of software tools
●  Crowd sourcing

Retinal biomarkers studies for various conditions, eg, diabetes, cardiovascular, neurodegenerative