DR. SAW SHIER NEE
Department of Artificial Intelligence
Faculty of Computer Science and Information Technology
sawsnum.edu.myView CV | |
Publons | |
Scopus Link | |
Biography | |
Dr. Saw received her B. Eng in Biomedical Engineering (University of Malaya, UM) in 2013. In 2015, Dr. Saw received the President Graduate Fellowship, from National University of Singapore (NUS) to pursue her doctorate degree. Her doctoral thesis, which uses biomechanics to understand pregnancy disease which can help to improve diagnosis and disease management, was supervised by Dr. Choon Hwai Yap. |
Publication
Finance
A deep learning-based pipeline for analyzing the influences of interfacial mechanochemical microenvironments on spheroid invasion using differential interference contrast microscopic images
A Miniaturized Ultrasonic Micro-Hole Perforator for Minimally Invasive Craniotomy
Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor.
Model Learning Analysis of 3D Optoacoustic Mesoscopic Images for the Classification of Atopic Dermatitis
A Review of Artificial Intelligence Models in Prognosticating Abdominal Aorta Aneurysms