معرفی
Dr. David Ng is an academic researcher affiliated with the Faculty of Science at the University of Sydney. His work focuses on advancing artificial intelligence and deep learning techniques for medical imaging applications, particularly in areas such as radiomics, multimodal data fusion, and healthcare diagnostics. He contributes to innovations in MRI, CT, PET, and endoscopic imaging analysis, developing algorithms for disease detection, segmentation, and predictive modeling.
His research interests span medical image reconstruction, federated learning, motion artifact reduction, and dynamic epidemiological modeling. He has published extensively on topics such as neural network architectures for biomedical applications, multimodal data integration, and AI-driven diagnostic tools.
Key contributions include advancements in sleep staging via multimodal networks, scleral deformation analysis using OCT images, and automatic segmentation techniques for cardiac and tumor imaging. His work emphasizes practical applications in oncology, cardiology, and public health, aiming to improve clinical decision-making through computational methods.
Dr. Ng’s research also explores the intersection of virtual/augmented reality with medical education and intervention. He collaborates on interdisciplinary projects involving biomedical engineering, computer science, and clinical practice to address real-world healthcare challenges.
