Artificial Intelligence and Data Science: Medical Imaging
For over a decade, our group led by Dr. Yongmin Li has been working in an extensive area of artificial intelligence and data science. Recent projects include medical imaging, bioimaging, AI-assisted tax assessment, foveated ray tracing, semantic video analysis, dynamic object modeling and image recognition. We have received numerous research awards from international conferences, professional organisations and the university. We invite talented and hard-working candidates to join us for their PhD study.
Medical imaging seeks to reveal the structures and activities inside the human body that are normally invisible behind other body parts such as skin and bones. With a wide range of imaging technologies such as radiography, magnetic resonance imaging, ultrasound, echocardiography and tomography, it has long been of great importance in clinical practices for measurement, identification, location and structural analysis of targeted organs, tissues or areas of abnormality. In this project, we will address the above problems of medical imaging using deep learning methods. You will have opportunities to gain experience with the industry-demanding deep learning tools such as TensorFlow or Keras, and the commonly-used deep learning networks such as Convolutional Neural Network (CNN), U-Net and Generative Adversarial Network (GAN).
How to apply
If you are interested in applying for the above PhD topic please follow the steps below:
- Contact the supervisor by email or phone to discuss your interest and find out if you woold be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
- Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
- Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.
This is a self funded topic
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.