Narges Tabatabaey

Narges Tabatabaey is a researcher in Computing with expertise spanning Medical Imaging, Machine Learning, and Biomedical Signal Processing. Her work intersects healthcare and technology, focusing on fatty liver disease diagnostics, OCT image segmentation, and blockchain applications in health systems.

• Active in UN Sustainable Development Goals related to health innovation
• Collaborates on cross-disciplinary research involving AI and medical diagnostics

Key research trends include:

• Developing deep learning models for medical image analysis
• Creating integrated diagnostic indices for liver disease
• Advancing blockchain-based health records systems
• Improving corneal segmentation accuracy in OCT scans
• Applying support vector machines for feature classification
• Validating automated diagnostic pipelines for clinical environments