Weidong Cai

Dr. Weidong (Tom) Cai is an Associate Professor in the School of Computer Science at The University of Sydney. His research interests include image processing, pattern recognition, computer vision, neural networks, video processing, computer graphics, deep learning, machine learning, and multimedia computation. He is affiliated with the Multimedia Laboratory and the Biomedical & Multimedia Information Technology (BMIT) Research Group. Dr. Cai has published extensively in leading international journals and conferences. He holds editorial roles at several academic journals and book series.

Weidong (Tom) Cai is a researcher in the School of Computer Science at The University of Sydney, specializing in Computer Vision, Medical Image Computing, Image/Video Processing, Machine Learning, and Multimedia. His work focuses on developing advanced algorithms for medical image classification, early diagnosis of diseases like Alzheimer's, and deep learning techniques for biomedical data analysis. Cai's research includes multimodal neuroimaging feature learning, lung nodule classification, and retinal vessel segmentation. He has also explored content-based medical image retrieval and saliency detection methods. His contributions span both theoretical and applied aspects of computer vision and machine learning in healthcare.