User profiles for Ben Hipwell
Ben HipwellPhD Student, University College London Verified email at ucl.ac.uk Cited by 61 |
[HTML][HTML] Noninvasive diffusion magnetic resonance imaging of brain tumour cell size for the early detection of therapeutic response
Cancer cells differ in size from those of their host tissue and are known to change in size
during the processes of cell death. A noninvasive method for monitoring cell size would be …
during the processes of cell death. A noninvasive method for monitoring cell size would be …
Measuring diffusion exchange across the cell membrane with DEXSY (Diffusion Exchange Spectroscopy)
Introduction To combine numerical simulations, in vitro and in vivo experiments to evaluate
the feasibility of measuring diffusion exchange across the cell membrane with diffusion …
the feasibility of measuring diffusion exchange across the cell membrane with diffusion …
Quantification of tumour microstructure in low and high-grade brain tumours using VERDICT MRI: an initial feasibility study
INTRODUCTION Maximal surgical resection for the malignant brain tumour Glioblastoma (GBM)
inevitably leaves residual disease that disseminates predominantly along white matter …
inevitably leaves residual disease that disseminates predominantly along white matter …
Quantitation of brain tumour microstructure response to Temozolomide therapy using non-invasive VERDICT MRI
There has been slow progress in the development of new therapeutic strategies for treating
brain tumours, partly because assessment of treatment response is difficult and largely …
brain tumours, partly because assessment of treatment response is difficult and largely …
Deep learning diffusion fingerprinting to detect brain tumour response to chemotherapy
TA Roberts, B Hipwell, G Agliardi, A d'Esposito… - bioRxiv, 2017 - biorxiv.org
Artificial neural networks are being widely implemented for a range of different biomedical
imaging applications.Convolutional neural networks are by far the most popular type of deep …
imaging applications.Convolutional neural networks are by far the most popular type of deep …
Developing novel non-invasive measures of tumour physiology
BOR Hipwell - 2020 - discovery.ucl.ac.uk
… I, Benjamin Oliver Richard Hipwell, confirm that the work presented in this thesis is my
own. Where information has been derived from other sources, I confirm that this has been …
own. Where information has been derived from other sources, I confirm that this has been …
[PDF][PDF] A novel framework for simulating the in-vivo diffusion MRI signal in solid tumours, based on high-resolution optical imaging data from real-world tumours.
PURPOSE: The purpose of this study was to develop a realistic in-silico model of the diffusion
MRI signal in tumour tissue, using three-dimensional, high-resolution imaging data from …
MRI signal in tumour tissue, using three-dimensional, high-resolution imaging data from …
Using Diffusion-Diffusion Exchange Spectroscopy to observe diffusion exchange in yeast
The permeability of cell membranes varies significantly across both healthy and diseased
tissue, and changes in cell membrane permeability can occur during treatment response in …
tissue, and changes in cell membrane permeability can occur during treatment response in …
[PDF][PDF] Quantifying microstructure changes in a mouse brain tumour model following Temozolomide therapy with VERDICT MRI
TA Roberts, G Agliardi, B Hipwell, A D'Esposito… - researchgate.net
… Roberts1, Giulia Agliardi1, Ben Hipwell1, Angela D’Esposito1, Andrada Ianus2, James O.
BreenNorris1, Valerie Taylor1, Mark F. Lythgoe1,Bernard Siow1, Eleftheria Panagiotaki2 …
BreenNorris1, Valerie Taylor1, Mark F. Lythgoe1,Bernard Siow1, Eleftheria Panagiotaki2 …
Validation of the VERDICT MRI Framework using a Novel Computational Model of Diffusion and Flow in Real-World Tumours.
Compartmental models are increasingly being used to quantify diffusion MRI signals from
tumours. We have developed a complex, multiscale mathematical modelling platform for …
tumours. We have developed a complex, multiscale mathematical modelling platform for …