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Tracer kinetic modelling for DCE-MRI quantification of subtle blood-brain barrier permeability., , , , , , , and . NeuroImage, (2016)Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks., , , , and . Medical Image Anal., (2020)Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map., , , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 146-154. Springer, (2019)Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images., , , , , , , , , and . Comput. Medical Imaging Graph., (2019)Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease., , , , , , and . MIUA, volume 1065 of Communications in Computer and Information Science, page 282-293. Springer, (2019)Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss., , , , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 39-47. Springer, (2018)A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage., , , , , , , , , and . NeuroImage, (2021)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., , , , , , , and . J. Imaging, 6 (6): 43 (2020)Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution., , , , , and . PRIME@MICCAI, volume 12928 of Lecture Notes in Computer Science, page 168-180. Springer, (2021)