Simon Walker‐Samuel

This paper evaluates quantitative susceptibility mapping (QSM) to differentiate hydroxyapatite and calcium oxalate breast calcifications in phantoms, showing QSM detects HA while R2* elevates at both types.

This study uses a computational model to explore how Muller cell orientation affects oedema and treatment response in Diabetic Macular Oedema.

This study demonstrates the use of MRI to evaluate liver microcirculation during machine perfusion, showing improved preservation and quantitative vascular analysis.

This paper introduces a highly-automated pipeline for generating simulation-ready meshes of tubular structures, enabling CFD simulations across various biomedical and industrial applications.

The paper identifies a unique pericystic endothelium in ADPKD that contributes to microvascular remodelling and impaired perfusion, suggesting vascular targets for early intervention.

This study uses a computational simulation to show that mutualism enhances immune evasion in slow-growing tumors, increasing their survival chances compared to tumors without mutualism.

This paper evaluates skeletonisation algorithms for 3D vascular networks, introducing a super-metric to assess and optimize their performance across different datasets.

This study identifies the temporal order of cancer hallmarks during tumorigenesis using mutation allele frequency and selective advantage across cancer and normal tissues.

This study uses CEST MRI to noninvasively monitor proteasome inhibitor response in mouse tumor models, showing increased CEST signals with higher drug doses and varying tumor sensitivity.

This study uses quantitative susceptibility mapping (QSM) to non-invasively measure hepatic venous oxygen saturation in mice, showing significant differences in oxygen levels between healthy livers and those with colorectal metastases.

This paper introduces DLDF, a deep learning method that detects brain tumor response to chemotherapy using diffusion-weighted MRI in a mouse model, showing it can segment tumors, distinguish tumor age, and detect chemotherapy effects with limited data.

This study evaluates VERDICT MRI for detecting early response to Temozolomide therapy in brain tumours, showing it is more sensitive than structural or ADC measurements.