Stuart A. Cook

Orcid: 0000-0001-6628-194X

Affiliations:
  • Imperial College London, Hammersmith Hospital, UK
  • uke National University of Singapore


According to our database1, Stuart A. Cook authored at least 22 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of two.

Timeline

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Links

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Bibliography

2021
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation.
CoRR, 2021

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.
IEEE Trans. Medical Imaging, 2020

Whole-genome sequencing of patients with rare diseases in a national health system.
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Nat., 2020

2019
Learning-Based Quality Control for Cardiac MR Images.
IEEE Trans. Medical Imaging, 2019

Deep-learning cardiac motion analysis for human survival prediction.
Nat. Mach. Intell., 2019

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.
CoRR, 2019

3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.
IEEE Trans. Medical Imaging, 2018

Three-dimensional cardiovascular imaging-genetics: a mass univariate framework.
Bioinform., 2018

A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.
IEEE Trans. Medical Imaging, 2017

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR, 2017

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017

2016
Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Respiratory Motion Correction for 2D Cine Cardiac MR Images using Probabilistic Edge Maps.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion.
Medical Image Anal., 2015

Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Prediction of Clinical Information from Cardiac MRI Using Manifold Learning.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

2014
NECTAR: a database of codon-centric missense variant annotations.
Nucleic Acids Res., 2014

2010
New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach.
PLoS Comput. Biol., 2010


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