XClose

UCL EPSRC Centre for Doctoral Training in Intelligent Integrated Imaging in Healthcare

Menu

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).  The choices of the taught modules are tailored to each student’s background and project needs. We 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. 

Compulsory Modules

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

Research Project in Biomedical & Medical Imaging MPHY0024 

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

Each project we accept is chosen for its translational potential, close clinical relevance and associated areas of expertise from the primary supervisors. The supervisory team on 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. The project often (but not necessarily) forms the basis for the student’s PhD research. 

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

Find out more about projects.

Journal Club (Term 1,2&3) 15 Credits

Critical Review of Key Papers in Biomedical Imaging (MPHY0031)

Website: https://www.ucl.ac.uk/intelligent-imaging-healthcare/cdt-journal-club

Course Organisers: Dr Carole Sudre

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.

YouTube Widget Placeholderhttps://www.youtube.com/watch?v=rm3dOIF-PJI&feature=youtu.be

 

Elective Modules (15 credits each)

Scientific Computing
  • Computational MRI COMP0121 (Term 1)
  • Programming Foundations for Medical Image Analysis MPHY0030 (Term 1)
  • Additional postgraduate modules available from Medical Physics and Biomedical Engineering
Imaging Physics
  • Computational MRI COMP0121 (Term 1)
  • Ultrasound in Medicine MPHY0018 (Term 1)
  • Additional postgraduate modules available from Medical Physics and Biomedical Engineering
Image Computing
  • Computational Modelling for Biomedical Imaging COMP0118 (Term 2)
  • Information Processing in Medical Imaging MPHY0025 (Term 2)
  • Inverse Problems in Imaging COMP0114 (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 COMP0080 (Term 1)
  • Machine learning in Medical Imaging MPHY0041 (Term 1)
  • Applied Deep Learning COMP0197 (Term 2)
  • Additional modules available from Computer Science (subject to availability)
Data Science and Health Informatics
Robotics and Sensing
  • Machine Vision COMP0137 (Term 1)
  • Robot Vision and Navigation COMP0130 (Term 2)
  • Computer-assisted Surgery and Therapy MPHY0026 (Term 2)
  • Additional modules available from Computer Science (subject to availability)
Human-Computer Interaction (HCI)