International Conference
on
Intelligent Systems and Vision Technology in Eye Care
(ISVTEC - 2025)
Track-I : Innovations in Retinal Imaging Devices and Diagnostic Systems
- Next-Generation Retinal Imaging Devices: Enhancing Precision in Diagnostics. [Dr. Maximilian W.M. Wintergerst, MD, FEBO Assistant Professor of Ophthalmology (Priv.-Doz.)]
- Wide-Field Imaging: Extending the View Beyond the Posterior Pole. [Dr. Vinod Kumar, RP Centre, AIIMS, New Delhi, India/Brijesh Takkar, LV Prasad Eye Institute, Hyderabad.]
- Automated Retinal Image Analysis for Early Detection of Eye Diseases [Dr. Ramesh S Ve, Founder at Neurosim Private Limited]
Track-II : Tele-Ophthalmology and Vision Care Technologies
- Tele-Ophthalmology: Bridging the Gap Between Patients and Specialists;
[Dr. David Myung, MD, PhD Director, Ophthalmic Innovation Program Director, Stanford
Teleophthalmology unit] - Home Monitoring Systems for Eye Health: Bringing Care to Patients’ Doorsteps.
[Ms. Maheswari Srinivasan M. Optom Associate professor, DAIO] - Challenges and Opportunities in Scaling Telemedicine for Eye Care.
[Ms. Arul Jyoti Department of Ophthalmology, General Ophthalmology Services, Aravind Eye
Hospital, Salem, Tamil Nadu]
Track-III : AI and Machine Learning for Vision Diagnostics and Treatment
- The Role of Artificial Intelligence in Retinal Disease Diagnosis.
[Dr. Michael Abramoff, MD, PhD Founder and Executive Chairman, Digital Diagnostics.] - AI and Deep Learning Models for Glaucoma Screening and Prediction.
[Dr. Falguni Ranadive Rishabh Software, Vadodara, Gujarat] - Future Trends in AI-Based Diagnostics: Ethics, Efficiency, and Accuracy.
[Dr. Maulika Patel Department of Computer Engineering, G. H. Patel College of Engineering and Technology, Charutar Vidya Mandal University, Vallabh Vidyanagar, India]
Track IV: Advances in Optical Coherence Tomography and Imaging Systems
Advances in OCT Technology: Ultra-High-Resolution Imaging.
[Dr. Joel S. Schuman, MD. Elaine Langone Professor of Ophthalmology and Professor of Neuroscience and Physiology, Biomedical Engineering, Electrical & Computer Engineering and Neural Science at NYU]Analysis of segmentation algorithms in color fundus and OCT images for glaucoma detection.
[Dr. R. Nithya, Assistant Professor in the Department of Biomedical Engineering, SSN college of engineering. (https://www.ssn.edu.in/staff-members/ms-r-nithya/)]Optic nerve head segmentation using fundus images and optical coherence tomography images for glaucoma detection.
[Dr. R. Venkatesh Aravind Eye Hospital, Tamilnadu.]
