Paper Details

Isfahan University of Medical Sciences

Science Communicator Platform

Faculty Members have conducted research related to the Deep Learning-Based Diagnostic Classification of Multiple Sclerosis Using Multicenter Optical Coherence Tomography Data

Farnaz Sedighin

Farnaz Sedighin

Assistant Professor of Electrical Engineering

Medical Image and Signal Processing Research Center

Isfahan University of Medical Sciences

Related Documents

1. Isfahan Artificial Intelligence Event 2023: Macular Pathology Detection Competition, Journal of Medical Signals and Sensors (2025)

All Documents

1. Diagnosing Multiple Sclerosis From Magnetic Resonance Imaging Images: Highlights From the Second Isfahan Artificial Intelligence Event 2024, Journal of Medical Signals and Sensors (2026)

2. Isfahan Artificial Intelligence Event 2023: Lesion Segmentation and Localization in Magnetic Resonance Images of Patients With Multiple Sclerosis, Journal of Medical Signals and Sensors (2025)

3. Isfahan Artificial Intelligence Event 2023: Macular Pathology Detection Competition, Journal of Medical Signals and Sensors (2025)

4. Low Rank Based Faz Segmentation in Octa Images, Scientific Reports (2025)

5. Self-Supervised Model-Informed Deep Learning for Low-Snr Ss-Oct Domain Transformation, Scientific Reports (2025)

6. Tensor Methods in Biomedical Image Analysis, Journal of Medical Signals and Sensors (2024)

7. Tensor Ring Based Image Enhancement, Journal of Medical Signals and Sensors (2024)

8. Adaptive Rank Selection for Tensor Ring Decomposition, IEEE Journal on Selected Topics in Signal Processing (2021)

9. Image Completion in Embedded Space Using Multistage Tensor Ring Decomposition, Frontiers in Artificial Intelligence (2021)