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Posts by Collection
portfolio
Portfolio item number 2
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publications
Magnetic Resonance Imaging of Oxygen Microbubbles
Published in Healthcare Technology Letters, 2019
Recommended citation: Thompson, E., Smart, S., Kinchesh, P., Bulte, D., Stride, E. (2019). "Magentic resonance imaging of Oxygen microbubbles." Healthcare Technology Letters. 6(5). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849496/
Non-Negative Data-Driven Mapping of Structural Connections with Application to the Neonatal Brain
Published in NeuroImage, 2020
Recommended citation: Thompson, E., Mohammadi-Nejad A.R., Robinson E.C., Andersson J.L.R., Jbabdi S., Glasser M.F., Bastiani M., Sotiropoulos S.N. (2020). "Non-negative data-driven mapping of structural connections with application to the neonatal brain" NeuroImage. 222 https://doi.org/10.1016/j.neuroimage.2020.117273
Concurrent Mapping of Brain Ontogeny and Phylogeny within a Common Space: Standardized Tractography and Applications
Published in Science Advances, 2022
Recommended citation: Warrington, S.*, Thompson, E.*, Bastiani M., Dubois J., Baxter L., Slater R., Jbabdi S., Mars R. B., Sotiropoulos S. N. (2022). "Concurrent Mapping of Brain Ontogeny and Phylogeny within a Common Space: Standardized Tractography and Applications". Science Advances. 8(42) *equal contributions https://www.science.org/doi/10.1126/sciadv.abq2022
talks
Assessing the Asynchronous Macrostructural Changes in White Matter Tracts of the Developing Brain
Published:
Combining Multimodal Connectivity Improves Modelling of Pathology Spread In Alzheimer’s Disease
Published:
teaching
Nottingham Medical Imaging Academy
Postgraduate course, University of Nottingham, Precision Imaging Beacon, 2021
Co-tutored a group of postgraduate students as part of the Nottingham Medical Imaging Academy (NMEDIA). Tutorials covered topics including image analysis, Bayesian modelling, and machine learning.
UCL Medical Image Computing Summer School - Tractography project
Summer school, University College London, Centre for Medical Image Computing, 2022
Ran a hands-on tractography project for a group of 12 summer school participants. Included presentations, tractography demos and interactive coding assignments. Course material here.
Introduction to Machine Learning - MSc module
Teaching Assistant, University College London, Department of Computer Science, 2022
Teaching assistant on the Introduction to Machine Learning module (COMP0088) for MSc students in the Department of Computer Science at UCL. Assisting students in practical lab sessions and answering queries online.
Reinforcement Learning for Tractography - MSc project
MSc Project Supervisor, University College London, Department of Computer Science, 2023
Project supervisor for the Artificial Intelligence for Biomedicine and Healthcare MSc course UCL, together with Professor Daniel Alexander. Supervising a student to explore reinforcement learning approaches for tractography.