Deep Learning for Medical Imaging
For over a decade, the Intelligent Data Analysis Research Group has been working in an extensive area of artificial intelligence and data science. Recent projects include medical imaging, bioimaging, biometrics, natural language processing, semantic video analysis, pattern recognition and computer graphics. We have received numerous research awards from international conferences, research institutions and professional organisations.
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 industry-demanding deep learning technologies such as Convolutional Neural Networks (CNN), U-Net and Generative Adversarial Networks (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%.
Meet the Supervisor(s)
- Dr. Yongmin Li received his PhD from Queen Mary, University of London, MEng and BEng from Tsinghua University, China. Before joining Brunel University London, he worked as a research scientist in the British Telecom Laboratories. His research interest covers the areas of data science, machine learning, artificial intelligence, image processing, computer vision, video analysis, medical imaging, bio-imaging, biomedical engineering, healthcare technologies, automatic control and nonlinear filtering. Together with his colleagues, he has won the Most Influential Paper over the Decade Award at MVA 2019 and Best Paper Awards at Bioimaging 2018, HIS 2012, BMVC 2007, BMVC 2001 and RATFG 2001. He was ranked in the world's top 2% scientists in the Updated Science-Wide Author Databases of Standardized Citation Indicators
, and 2022
Professional Affiliations: -
Prospective PhD Students:
- Senior Member, the IEEE
- Senior Fellow, the Higher Education Academy
We invite talented and hard-working students to join us for their PhD study. From time to time, we may have studentships available, which include an annual bursary (about £18,000 this year) plus payment of tuition fees for three years. Currently we have several projects on-going, for example, Deep Learning for Medical Imaging, Natural Language Processing for Business Intelligence, Natural Language Processing for Tax Assessment, and Image/Video Content Generation for Personalised Remarketing. But any other topics within the area of artificial intelligence and data science would also be welcome. Contact me for details if interested.
Master of Science in Artificial Intelligence 2022/23:
Built on our strong international research profile (consistently ranked in the top 100 in the world, 1st in UK for H-index and Highly Cited Papers for 3 years in a row from 2018-2020, and 3rd in UK for overall performance in "the NTU Performance Ranking of Scientific Papers for World Universities", Subject: Computer Science, 2020), we offer the MSc Artificial Intelligence course with great flexibility (1 year full-time, 2 year part-time or 3 year staged study). If you are interested, apply here
. 15 Scholarships available for applicants from under-represented groups, £10,000 of each.
Related Research Group(s)
Intelligent Data Analysis - Concerned with effective analysis of data involving artificial intelligence, dynamic systems, image and signal processing, optimisation, pattern recognition, statistics and visualisation.