Student Name: Jinyu Li
Institution: UCL
Supervisors: Dr Laura Panagiotaki and Professor Neil Sebire
I worked in Mindray Biomedical Electronics Company’s ultrasound image system development department, where I was an imaging system engineer. As part of the role, I designed and developed AI applications to multiple ultrasound devices for human-computer interaction efficiency improvement during scanning and automatic image quality optimization. Amongst other responsibilities, I worked with product manager to give them quantitative analysis of applications’ clinical usage to improve future design.
Before my industry’s work, I completed my Master’s degree in Advanced Biomedical Imaging at UCL, where I took a set of courses on medical imaging techniques and pre-clinical research. I was supervised by Simon Walker-Samuel, worked on diabetic retinopathy vasculature segmentation in OCTA images with attention-based CNN models. My undergraduate degree was in Biomedical Engineering from Beijing Institute of Technology.
Research interests include machine learning and medical image processing.