Programme(s) to which this project applies: |
☑ MPhil/PhD | ☒ MRes[Med] | ☑ URIS |
Our group has been developing computational modeling methods for medical imaging devices (i.e., Computed Tomography, Positron Emission Tomography, etc.) and cancer treatment machines (Clinical Linear Accelerators and Proton Accelerators). These approaches provide cost-effective and safe options for exploring and advancing imaging and treatment techniques.
This project aims to develop a resource-efficient computational modeling method that balances precision with computational cost. We will also investigate the clinical application of these methods for radiotherapy and medical imaging.
Professor H Lee, Department of Diagnostic Radiology
Professor Hoyeon Lee is an Assistant Professor in the Department of Diagnostic Radiology and Centre of Cancer Medicine. His research interests include the computational modeling of medical devices and AI applications for medical imaging and cancer treatment.
For more information or to express interest for this project, please email the supervisor or the specified contact point in the project description. Interested candidates are advised to enclose with your email:
Information on the research programme, funding support and admission documentations could be referenced online at the Research Postgraduate Admissions website. General admission enquiries should be directed to rpgmed@hku.hk.
HKUMed MBBS students interested in the Master of Research in Medicine (MRes[Med]) programme may visit the programme website for more information.
HKUMed UG students interested in the Undergraduate Research Internship Scheme (URIS) may visit the scheme’s website for more information.
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