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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
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Posts
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Blog Post number 4
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Blog Post number 1
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portfolio
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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
How can we reduce the climate costs of OHBM? A vision for a more sustainable meeting
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
A Coupled-Mechanisms Modelling Framework for Neurodegeneration
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
READi-DEM: ML-powered, web-interface tool for Robust, Efficient, Affordable Diagnosis of Dementia
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
talks
Assessing the Asynchronous Macrostructural Changes in White Matter Tracts of the Developing Brain
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Combining Multimodal Connectivity Improves Modelling of Pathology Spread In Alzheimer’s Disease
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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.