Research Projects
Medical Imaging Artificial Intelligence


Programme(s) to which this project applies:

☑ MPhil/PhD ☒ MRes[Med] ☑ URIS
About the Project

Medical imaging holds a wealth of data that can now be tapped using advanced quantitative analysis and leveraging artificial intelligence to aid diagnosis and prognostications. Area of research broadly covers the following:

  1. Radiomics Analysis on Cancers
  2. Deep learning approach to medical imaging tasks (e.g. segmentation, lesion detection, survival prediction)
  3. Imaging and Genomics Integrative Analysis, Radiogenomics
  4. AI + Imaging to tackle ageing and longevity 
About the Supervisor

Dr VV Vardhanabhuti, Department of Diagnostic Radiology

Dr Vardhanabhuti completed his medical degree at Guy's, King's and St Thomas' School of Medicine in London, UK in 2005. He had subsequent training in London, Oxford, Plymouth, Exeter, and completed his Radiology training at Imperial College London, UK whilst also completing a PhD during his residency.

He has active interests in data science, machine learning, and artificial intelligence while engaging with various research projects relating to medical imaging, with the goal of early clinical translation to benefits patients. He has wide-ranging projects in the AI space including the use of quantitative radiomics in cancer prognostication, using deep learning model as a tool for automatic segmentation and cancer detection, big data using electronic patient records, etc. More recently he has been engaged in several projects applying machine learning and artificial intelligence techniques in tackling the COVID-19 pandemic. 

Biography
HKU Scholars Hub
varv@hku.hk

Next Step?

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:

  1. your CV,
  2. a brief description of your research interest and experience, and
  3. two reference letters (not required for HKUMed UG students seeking MRes[Med]/URIS projects).

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.