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Paul M. Matthews

Division of Brain Sciences, Dept. of Medicine, Imperial College London, UK Dementia Research Institute, Imperial College London

SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints

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Oct 02, 2024
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A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics

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Sep 20, 2024
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LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation

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Aug 17, 2023
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Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data

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Aug 28, 2022
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Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images

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Aug 03, 2022
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Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction

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Jul 05, 2019
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Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study

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Jan 27, 2019
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Learning-Based Quality Control for Cardiac MR Images

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Sep 15, 2018
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Recurrent neural networks for aortic image sequence segmentation with sparse annotations

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Aug 01, 2018
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NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines

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Jun 11, 2018
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