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CANDI
Computer Assisted Navigation, Diagnosis and Intervention (CANDI) is a research group applying artificial intelligence, computational modelling and software engineering on surgical procedures and medical interventions. We aim to translate our methodologies and innovations to improve surgical navigation, disease diagnosis and minimally invasive interventions.
We are members of 果冻影院 Centre for Medical Image Computing (CMIC)听and Wellcome/EPSRC Centre for Interventional and Surgical Sciences听(WEISS).听Our research spans across multidisciplinary听applications including those for prostate cancer, pancreatic cancer, fetal medicine, interventional radiology.
We are always looking for bright minds to join our team as postgraduate students or postdoctoral research fellows. Full scholarships are available through the EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare (i4health), among other opportunities. Please get in touch for further information.
Members听
Research Staff and Students
- 听(Co-Lead, Professor)
- Zachary Baum听(PhD Student)
- 听(WEISS Senior Research Fellow)
- Yunguan Fu听(Research Assistant)
- Iani Gayo (PhD Student)
- 听(Co-Lead)
- Qi Li (PhD Student)
- Yiwen Li (PhD Student)
- Nina Montana Brown (PhD Student)
- (Postdoctoral Research Fellow)
- Mark听Pinnock听(PhD Student)
- Rachael Rodell (Research Assistant)
- Shaheer Saeed (PhD Student)
- Ziyi Shen (Postdoctoral Research Fellow)
- Qianye Yang听(PhD Student)
- Wen Yan (Research Assistant, Visiting PhD Student)
Students undertaking research projects
Alumni
- Ruoxi Gao
- Remi Delaunay
- Alex Grimwood听
- Zbigniew Wojna
- Nooshin Ghavami听
- Eli Gibson听
- Paul Martin听
- Barbara Villarini听
We as a group have diverse expertise in lecturing, tutoring, project supervision and organising advanced computing-lab workshops, contributing to a variety of 果冻影院 modules including Machine Learning in Medical Imaging, Artificial Inteligence in Surgery and Intervention, Introduction to Deep Learning, Computing in Medicine, Information Processing in Medical Imaging, Image Assisted Surgery and Therapy and Programming Foundation for Medical Image Analysis. The main topics include programming, scientific computing, machine learning, statistical modelling and software development.听Prof Dean Barratt is the Director of Studies听in the 果冻影院 Department of Medical Physics and Biomedical Engineering. As our advancing translational research, we are also experienced in clinician training for innovative medical device and introductory training in medical device regulations.
