Research output per year
Research output per year
Personal profile
Research interests
My PhD project is using generative deep learning to improve the reconstruction of brain images from simultaneous PET-MR scans.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
MMathCompSci Mathematics and Computer Science, University of Oxford
1 Oct 2019 → 30 Jun 2023
Award Date: 5 Aug 2023
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Diffusion models for medical image reconstruction
Webber, G. & Reader, A., 29 Aug 2024, In: British Journal of Radiology | Artificial Intelligence. 1, 1Research output: Contribution to journal › Review article › peer-review
Open Access -
Generative-Model-Based Fully 3D PET Image Reconstruction by Conditional Diffusion Sampling
Webber, G., Mizuno, Y., Howes, O., Hammers, A., King, A. & Reader, A., 25 Sept 2024, In: 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD).Research output: Contribution to journal › Conference paper › peer-review
Open Access -
Multi-Subject Image Synthesis as a Generative Prior for Single-Subject PET Image Reconstruction
Webber, G., Mizuno, Y., Howes, O., Hammers, A., King, A. & Reader, A., 25 Sept 2024, In: 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD).Research output: Contribution to journal › Conference paper › peer-review
Open Access