Portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 1
Short description of portfolio item number 2
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/
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
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
Published in Aperture Neuro, 2023
Recommended citation: Epp, S., Jung, H., Borghesani, V., Klo_wer, M., Hoeppli, M., Misiura, M., Thompson, E., Duncan, N. W., Urai, A. E., Veldsmann, M., Sadaghiani, S., Rae, C. L. (2023) How Can We Reduce the Climate Costs of OHBM? A Vision for a More Sustainable Meeting." Aperture Neuro, vol. 3, pp. 116" https://doi.org/10.52294/001c.87678
Published in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023
Recommended citation: He, T., Thompson, E.*, Schroder, A.*, Oxtoby, N. P., Abdulaal, A., Barkhof, F., Alexander, D. C. (2023). "A Coupled-Mechanisms Modelling Framework for Neurodegeneration." International Conference on Medical Image Computing and Computer-Assisted Intervention 459-469 https://link.springer.com/chapter/10.1007/978-3-031-43993-3_45
Published in preprint, 2023
Recommended citation: Klar, V.*, Thompson, E.,*, Atay M. S., Owoade P., Toniolo S., Dehsarvi A., Rathee S. (2023). "READi-Dem: ML-powered, web-interface tool for Robust, Efficient, Affordable Diagnosis of Dementia" medRxiv https://www.medrxiv.org/content/10.1101/2023.10.23.23297405v1
Published in Imaging Neuroscience, 2024
Recommended citation: Thompson E., Schroder A., He T., Shand C., Soskic S., Oxtoby N. P., Barkhof F., Alexander D. C., (2024). "Combining multimodal connectivity information improves modelling of pathology spread in Alzheimer's Disease" Imaging Neuroscience https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00089/119149/Combining-multimodal-connectivity-information
Published in Brain Structure and Function, 2024
Recommended citation: Rounis, E., Thompson, E., Scandola, M. et al. (2024). "A preliminary study of white matter disconnections underlying deficits in praxis in left hemisphere stroke patients." Brain Struct Funct https://link.springer.com/article/10.1007/s00429-024-02814-3
Published:
Published:
Published:
Featured research session - Tau accumulation and tau spreading patterns II
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.
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.
Lecture, University College London, Department of Computer Science, 2023
Gave a guest lecture for the Information Processing in Medical Imaging module at UCL, as part of their “IPMI in action” session. The lecture was titled “Using multi-modal brain connectivity to model pathology spread in Alzheimer’s disease”.
Summer school, University College London, Centre for Medical Image Computing, 2024
2022 - 2023: 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.
Project lead, University College London, Department of Computer Science, 2025
Co-led a group project for 11 MSc students on the Computational Modelling for Biomedical Imaging Module. The project was entitled: “Predicting spread of Alzheimer’s disease pathology using brain connectomes from different cognitive stages”. I developed course materials, led lab sessions where we answered questions from the students, and marked their project reports.