Rate My Professor Moi Hoon Yap

Yap's research focuses on computer vision and deep learning for medical image analysis, facial analysis, human behavioural analysis, and early disease detection, including diabetic foot ulcers, skin cancer, and breast lesions. She has pioneered projects such as FootSnap, a cloud-based infrastructure for diabetic foot ulcer detection; MAMMOBOT, a robot for early breast cancer diagnosis; and international grand challenges on diabetic foot ulcers and micro-expressions, creating novel datasets for reproducible research. Key publications encompass 'Deep learning in diabetic foot ulcers detection: a comprehensive evaluation' (Computers in Biology and Medicine, 2021), 'Analysis of the ISIC image datasets: Usage, benchmarks and recommendations' (Medical Image Analysis, 2022), 'AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images' (IEEE Transactions on Medical Imaging, 2022), 'Diabetic Foot Ulcer Grand Challenge 2022 Summary' (2023), and 'Diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods' (2025). Her innovations, including smart ulcer detection technology, aim to reduce amputation rates and healthcare costs, showcasing significant impact in healthcare through sustainable software and point-of-care solutions.