Yinghui Wang

I’m a PhD candidate in the Department of Health Technology and Informatics at The Hong Kong Polytechnic University, focused on image super-resolution, reconstruction, and registration. My research interest spans 4D-MRI and multi-contrast MRI, with an emphasis on methods that improve motion-sensitive imaging quality.

In my research roles, I developed a GAN-based super-resolution model for 4D-MRI, with results published in IEEE Transactions on Medical Imaging (Second author). I’ve also contributed work as a First Author to Medical Physics and Artificial Intelligence Review, including high spatiotemporal-resolution abdominal 4D-MRI through respiratory-synchronized collaborative reconstruction.

During my internship at St. Paul’s Hospital (Radiotherapy and Oncology Centre), I focused on treatment plan quality assurance (QA) procedures, equipment calibration, and radiation therapy software. I’m also developing ESAPI-based automation tools to streamline planning workflows, bridging research algorithms with real clinical processes.

I enjoy full-cycle work—from literature review and algorithm design to experimental validation, manuscript writing, and academic presentations. I’m motivated by practical impact: building imaging intelligence that can support dependable motion management and efficient radiotherapy planning.