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¹û¶³Ó°Ôº EPSRC Centre for Doctoral Training in Intelligent Integrated Imaging in Healthcare

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Modules

Find out more about our compulsory units and other additional optional modules.

The MRes Programme consists of a research project (105 credits) and 5 taught modules (75 credits).Ìý The choices of the taught modules are tailored to each student’s background and project needs.ÌýWe require that by the end of the MRes period, students have expertise in Medical Imaging, Research Computing and Artificial Intelligence. The choice of modules must enable this objective.Ìý

Compulsory Modules

Research projectÌý(Term 1,2&3) 105 Credits

Research Project in Biomedical & Medical ImagingÌýMPHY0024Ìý

Every student under our CDT has the opportunity to chooseÌýa unique research project which aligns to both a methodological imaging and clinical theme.Ìý

Each project we accept is chosen for its translational potential, close clinical relevance and associated areas of expertise from the primary supervisors. The supervisory teamÌýon every project must cover both an engineering and clinical specialism to ensure each students gets a broad understanding of both the technical aspects and real-world application of their research.ÌýThe project often (but not necessarily) forms the basis for the student’s PhD research.Ìý

The project often (but not necessarily) forms the basis for the student’s PhD research.

Find out more about projects.

Journal ClubÌý(Term 1,2&3) 15 Credits

Critical Review of Key Papers in Biomedical Imaging (MPHY0031)

Website:Ìý/intelligent-imaging-healthcare/cdt-journal-club

CourseÌýOrganisers:

Aims and objectives

Understanding and forming an accurate opinion of a journal article is a crucial skill for research; the CDT’s flagship journal club course aims to equip students with the skills necessary to carry out a critical review of literature relevant to their field.
Students will work together through group work and discussion to develop skills for critical thinking and reviewing, and understand the motivation for paper writing whilst developing academic presentation skills.

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Elective Modules (15 credits each)

Scientific Computing
  • Computational MRI COMP0121Ìý(Term 1)
  • Programming Foundations for Medical Image Analysis MPHY0030Ìý(Term 1)
  • Additional postgraduate modules available from Medical Physics and Biomedical Engineering
Imaging Physics
  • Computational MRI COMP0121Ìý(Term 1)
  • Ultrasound in Medicine MPHY0018Ìý(Term 1)
  • Additional postgraduate modules available from Medical Physics and Biomedical Engineering
Image Computing
  • Computational Modelling for Biomedical Imaging COMP0118Ìý(Term 2)
  • Information Processing in Medical Imaging MPHY0025Ìý(Term 2)
  • Inverse Problems in Imaging COMP0114Ìý(Term 2)
  • Additional modules available from Computer Science (subject to availability)
AI and Machine Learning
  • Applied AI in Medical Imaging MPHY0050 (Term 2)
  • Graphical Models COMP0080Ìý(Term 1)
  • Machine learning in Medical Imaging MPHY0041Ìý(Term 1)
  • Applied Deep Learning COMP0197Ìý(Term 2)
  • Additional modules available from Computer Science (subject to availability)
Data Science and Health Informatics
Robotics and Sensing
  • Machine Vision COMP0137Ìý(Term 1)
  • Robot Vision and Navigation COMP0130Ìý(Term 2)
  • Computer-assisted Surgery and Therapy MPHY0026Ìý(Term 2)
  • Additional modules available from Computer Science (subject to availability)
Human-Computer Interaction (HCI)
  • Human Factors for Digital Health PSYC0098Ìý(Term 2)
  • User Centred Data Visualisation PSYC0102Ìý(Term 2)