Michael J. Thrippleton

According to our database, Michael J. Thrippleton authored at least 8 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

General factors of white matter microstructure from DTI and NODDI in the developing brain.

Kadi Vaher, Paola Galdi, Manuel Blesa Cabez, Gemma Sullivan, David Q. Stoye, Alan J. Quigley, Michael J. Thrippleton, Debby Bogaert, Mark E. Bastin, Simon R. Cox, James P. Boardman

NeuroImage, 2022

Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols.

Bryan M. Li, Leonardo V. Castorina, Maria del C. Valdés Hernández, Una Clancy, Stewart J. Wiseman, Eleni Sakka, Amos J. Storkey, Daniela Jaime Garcia, Yajun Cheng, Fergus Doubal, Michael J. Thrippleton, Michael S. Stringer, Joanna M. Wardlaw

Frontiers Comput. Neurosci., 2022

2021

A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage.

José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Anna K. Heye, Eleni Sakka, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw, Michael J. Thrippleton

NeuroImage, 2021

Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging.

José Bernal, William Xu, Maria del C. Valdés Hernández, Javier Escudero, Angela C. C. Jochems, Una Clancy, Fergus N. Doubal, Michael S. Stringer, Michael J. Thrippleton, Rhian M. Touyz, Joanna M. Wardlaw

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020

A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging.

José Bernal, Maria del C. Valdés Hernández, Lucia Ballerini, Javier Escudero, Angela C. C. Jochems, Una Clancy, Fergus N. Doubal, Michael S. Stringer, Michael J. Thrippleton, Rhian M. Touyz, Joanna M. Wardlaw

Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

2018

Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss.

Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Neonatal Morphometric Similarity Networks Predict Atypical Brain Development Associated with Preterm Birth.

Paola Galdi, Manuel Blesa Cabez, Gemma Sullivan, Gillian J. Lamb, David Q. Stoye, Alan J. Quigley, Michael J. Thrippleton, Mark E. Bastin, James P. Boardman

Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

2016

Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability.

Anna K. Heye, Michael J. Thrippleton, Paul A. Armitage, Maria del C. Valdés Hernández, Stephen D. Makin, Andreas Glatz, Eleni Sakka, Joanna M. Wardlaw

NeuroImage, 2016