Open Science Research Excellence

ICORD 2021 : International Conference on Ophthalmology: Retinal Disorders

Amsterdam, The Netherlands
August 5 - 6, 2021

Conference Code: 21NL08ICORD

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICORD 2021 has teamed up with the Special Journal Issue on Ophthalmology: Retinal Disorders. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   September 30, 2020
Notification of Acceptance/Rejection   October 15, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   April 6, 2021
Conference Dates   August 5 - 6, 2021

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Information System for Early Diabetic Retinopathy Diagnostics Based on Multiscale Texture Gradient Method
L. S. Godlevsky, N. V. Kresyun, V. P. Martsenyuk, K. S. Shakun, T. V. Tatarchuk, K. O. Prybolovets, L. F. Kalinichenko, M. Karpinski, T. Gancarczyk
2) Multi-Layer Perceptron and Radial Basis Function Neural Network Models for Classification of Diabetic Retinopathy Disease Using Video-Oculography Signals
Ceren Kaya, Okan Erkaymaz, Orhan Ayar, Mahmut Özer
3) Automatic Method for Exudates and Hemorrhages Detection from Fundus Retinal Images
A. Biran, P. Sobhe Bidari, K. Raahemifar
4) Automatic Detection and Classification of Diabetic Retinopathy Using Retinal Fundus Images
A. Biran, P. Sobhe Bidari, A. Almazroe V. Lakshminarayanan, K. Raahemifar
5) Distinction between Manifestations of Diabetic Retinopathy and Dust Artifacts Using Three-Dimensional HSV Color Space
Naoto Suzuki
6) Online Optic Disk Segmentation Using Fractals
Srinivasan Aruchamy, Partha Bhattacharjee, Goutam Sanyal
7) Comparing SVM and Naïve Bayes Classifier for Automatic Microaneurysm Detections
A. Sopharak, B. Uyyanonvara, S. Barman
8) Automatic Microaneurysm Quantification for Diabetic Retinopathy Screening
A. Sopharak, B. Uyyanonvara, S. Barman
9) Predictions Using Data Mining and Case-based Reasoning: A Case Study for Retinopathy
Vimala Balakrishnan, Mohammad R. Shakouri, Hooman Hoodeh, Loo, Huck-Soo
10) Basic Research for Distinguishing Small Retinal Hemorrhages from Dust Artifact by using Hue, Lightness, and Saturation Color Space
Naoto Suzuki
11) Optic Disc Detection by Earth Mover's Distance Template Matching
Fernando C. Monteiro, Vasco Cadavez
12) Automated Thickness Measurement of Retinal Blood Vessels for Implementation of Clinical Decision Support Systems in Diagnostic Diabetic Retinopathy
S.Jerald Jeba Kumar, M.Madheswaran
13) Automated Optic Disc Detection in Retinal Images of Patients with Diabetic Retinopathy and Risk of Macular Edema
Arturo Aquino, Manuel Emilio Gegundez, Diego Marin
14) Detection of Diabetic Symptoms in Retina Images Using Analog Algorithms
Daniela Matei, Radu Matei

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