MG
Mark Graham
Also known as: Mark S. Graham
King's College London
Research areas: Medicine · Radiology, Nuclear Medicine and Imaging · COVID-19 epidemiological studies · COVID-19 Clinical Research Studies · Medical Image Segmentation Techniques
Employment
- ? - 2024
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (57)
- Synthesis of Annotated Data for Medical Image Segmentation Save
- Synthesis of Annotated Data for Medical Image Segmentation Save
- Generating multi-pathological and multi-modal images and labels for brain MRI Save
- Latent Transformer Models for out-of-distribution detection Save
- Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models Save
- Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking Save
- Self-reported COVID-19 vaccine hesitancy and uptake among participants from different racial and ethnic groups in the United States and United Kingdom Save
- The mental health burden of racial and ethnic minorities during the COVID-19 pandemic Save
- COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2 Save
- Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models Save
- Transformer-based out-of-distribution detection for clinically safe segmentation Save
- Illness characteristics of COVID-19 in children infected with the SARS-CoV-2 Delta variant Save
- Knowledge barriers in a national symptomatic-COVID-19 testing programme Save
- Optimization of the MR imaging pipeline using simulation Save
- Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app Save
- Can Segmentation Models Be Trained with Fully Synthetically Generated Data? Save
- Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain Save
- Diet and lifestyle behaviour disruption related to the pandemic was varied and bidirectional among US and UK adults participating in the ZOE COVID Study Save
- COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2: two prospective observational cohort studies Save
- Accessible data curation and analytics for international-scale citizen science datasets Save