Stephen D. Makin

According to our database1, Stephen D. Makin authored at least 9 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2021
A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage.
NeuroImage, 2021

Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

2020
Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks.
Medical Image Anal., 2020

Examining the Relationship between Semiquantitative Methods Analysing Concentration-Time and Enhancement-Time Curves from Dynamic-Contrast Enhanced Magnetic Resonance Imaging and Cerebrovascular Dysfunction in Small Vessel Disease.
J. Imaging, 2020

2019
Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images.
Comput. Medical Imaging Graph., 2019

Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2016
Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability.
NeuroImage, 2016


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