Nazila Kazemigazestane is a PhD researcher in medical imaging whose work focuses on advancing dental Optical Coherence Tomography (OCT) and harnessing artificial intelligence for diagnostic support. Her research sits at the intersection of clinical dentistry, imaging science, and machine learning, with the goal of enabling the early detection and monitoring of dental lesions through non-invasive, radiation-free imaging.
She develops state-of-the-art deep learning pipelines, combining convolutional neural networks and transformer-based architectures, to achieve precise classification, localisation, segmentation, and severity scoring of dental conditions. By leveraging transfer learning between X-ray microtomography (XMT) and OCT data, Nazila is pioneering cross-modality knowledge transfer to build more accurate and clinically reliable diagnostic models.
Her work contributes to the development of next-generation, AI-driven imaging technologies that can enhance preventive care, streamline clinical decision-making, and ultimately improve patient outcomes in dentistry.
