International Conference
on
Intelligent Systems and Vision Technology in Eye Care
(ISVTEC - 2025)
Call for Papers
ISVTEC-2025 solicits abstracts and manuscripts from researchers, academicians and professionals throughout the globe for presentation in the technical sessions of the conference. The keynote speakers are the eminent people from industry, academia and research institutes. The paper selection will follow a single-blind review process, meaning that both the authors and reviewers will remain anonymous during the paper selection process.
All accepted complete papers will be published in the conference proceedings in SCITEPRESS Digital Library, under an ISBN reference, on digital support. SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper on the digital library will be given a DOI (Digital Object Identifier). The proceedings will be submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
Track I : Innovations in Retinal Imaging Devices and Diagnostic Systems
- Next-Generation Retinal Imaging Devices
- AI-Driven Retinal Image Processing
- Non-Invasive Retinal Imaging Techniques
- Embedded Systems and Hardware for Retinal Imaging
- Innovations in Optical Coherence Tomography (OCT)
- Retinal Image Registration and Analysis
- Tele-Retinal Imaging Systems
- Hardware-Software Co-Design for Retinal Imaging
- Imaging for Early Detection of Retinal Diseases
- Augmented Reality (AR) and Virtual Reality (VR) in Retinal Imaging
Track II: Tele-Ophthalmology and Vision Care Technologies
- Tele-Ophthalmology Platforms and Applications
- Remote Eye Disease Diagnosis and Monitoring
- IoT Devices for Vision Health Monitoring
- Edge and Cloud Computing in Tele-Ophthalmology
- Mobile and Wearable Solutions for Vision Care
- Remote Vision Testing and Screening Tools
- Augmented and Virtual Reality in Tele-Ophthalmology
- Tele-Surgical Assistance in Ophthalmology
Track III: AI and Machine Learning for Vision Diagnostics and Treatment
- AI-Based Retinal Disease Detection
- Machine Learning for Eye Disease Prognosis and Risk Assessment
- AI for Visual Impairment and Low Vision Assistance
- AI for Surgical Planning and Post-Operative Monitoring
- AI for Personalized Vision Treatment and Therapy
- Data Augmentation Techniques in AI for Eye Care
- Natural Language Processing (NLP) for Ophthalmology
Track IV: Advances in Optical Coherence Tomography and Imaging Systems
- Next-Generation OCT Systems for Retinal Imaging
- Miniaturization and Portability of OCT Devices
- AI and Machine Learning in OCT Image Analysis
- High-Speed OCT for Real-Time Imaging
- OCT for Glaucoma Diagnostics and Monitoring
- OCT for Ocular Drug Delivery and Treatment Monitoring
- OCT for Ocular Surgery Planning and Post-Operative Care
- Advances in OCT System Design and Signal Processing
