Isfahan University of Medical Sciences

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Faculty Members have conducted research related to the Investigating the Feasibility of Differentiating Ms Active Lesions From Inactive Ones Using Texture Analysis and Machine Learning Methods in Dwi Images
Farnaz Sedighin
Farnaz Sedighin

Assistant Professor of Electrical Engineering

Medical Image and Signal Processing Research Center

Isfahan University of Medical Sciences

All Documents
1. 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)
2. Isfahan Artificial Intelligence Event 2023: Macular Pathology Detection Competition, Journal of Medical Signals and Sensors (2025)
3. Low Rank Based Faz Segmentation in Octa Images, Scientific Reports (2025)
4. Self-Supervised Model-Informed Deep Learning for Low-Snr Ss-Oct Domain Transformation, Scientific Reports (2025)
5. Tensor Methods in Biomedical Image Analysis, Journal of Medical Signals and Sensors (2024)
6. Tensor Ring Based Image Enhancement, Journal of Medical Signals and Sensors (2024)
7. Adaptive Rank Selection for Tensor Ring Decomposition, IEEE Journal on Selected Topics in Signal Processing (2021)
8. Image Completion in Embedded Space Using Multistage Tensor Ring Decomposition, Frontiers in Artificial Intelligence (2021)