معرفی
Weiwei Cui is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. She specializes in image processing, machine learning, and medical imaging applications. Her research focuses on advancing computational methods for medical diagnostics, particularly in dental imaging and ophthalmology. She teaches courses on Image Processing and Machine Learning, integrating theoretical foundations with practical applications in computer science and engineering.
Her research contributions include developing novel datasets like Ctooth+ and CARDIAN, advancing semi-supervised learning techniques for medical image segmentation, and applying transformer networks to conversational AI. Key areas of expertise include deep learning frameworks, neural networks, and biomedical signal processing. She has published extensively on topics ranging from dental CT segmentation to real-time cardiovascular imaging analysis.
Dr. Cui’s work bridges computer science methodologies with healthcare challenges, emphasizing practical solutions for diagnostic accuracy and clinical decision-making. Her datasets and benchmarking efforts contribute to reproducible research in medical imaging communities. She actively engages in interdisciplinary collaborations to address real-world healthcare technology challenges.
