Georgia Doumou
Georgia Doumou
Research Assistant, MRC - Imperial College London
Verified email at lms.mrc.ac.uk
TitleCited byYear
The precision of textural analysis in 18F-FDG-PET scans of oesophageal cancer
G Doumou, M Siddique, C Tsoumpas, V Goh, GJ Cook
European radiology 25 (9), 2805-2812, 2015
532015
Primary rectal cancer: repeatability of global and local-regional MR imaging texture features
S Gourtsoyianni, G Doumou, D Prezzi, B Taylor, JJ Stirling, NJ Taylor, ...
Radiology 284 (2), 552-561, 2017
252017
Learning interpretable anatomical features through deep generative models: Application to cardiac remodeling
C Biffi, O Oktay, G Tarroni, W Bai, A De Marvao, G Doumou, M Rajchl, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
132018
Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension
J Duan, J Schlemper, W Bai, TJW Dawes, G Bello, G Doumou, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
92018
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
J Duan, G Bello, J Schlemper, W Bai, TJW Dawes, C Biffi, A de Marvao, ...
IEEE transactions on medical imaging, 2019
82019
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach
J Duan, G Bello, J Schlemper, W Bai, TJW Dawes, C Biffi, A de Marvao, ...
arXiv preprint arXiv:1808.08578, 2018
32018
Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images
J Duan, J Schlemper, W Bai, TJW Dawes, G Bello, C Biffi, G Doumou, ...
International Workshop on Shape in Medical Imaging, 258-267, 2018
12018
Sex and regional differences in myocardial plasticity in aortic stenosis are revealed by 3D model machine learning
AN Bhuva, TA Treibel, A De Marvao, C Biffi, TJW Dawes, G Doumou, ...
European Heart Journal-Cardiovascular Imaging, 2019
2019
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling
C Biffi, JJ Cerrolaza, G Tarroni, W Bai, O Oktay, LL Folgoc, K Kamnitsas, ...
arXiv preprint arXiv:1907.00058, 2019
2019
Septal hypertrophy in aortic stenosis and its regression after valve replacement is more plastic in males than females: insights from 3D machine learning approach: P5470
A Bhuva, T Treibel, A De Marvao, C Biffi, T Dawes, G Doumou, W Bai, ...
European Heart Journal 39, 2018
2018
P5470 Septal hypertrophy in aortic stenosis and its regression after valve replacement is more plastic in males than females: insights from 3D machine learning approach
A Bhuva, TA Treibel, A De Marvao, C Biffi, T Dawes, G Doumou, W Bai, ...
European Heart Journal 39 (suppl_1), ehy566. P5470, 2018
2018
5 Defining the effects of genetic variation using machine learning analysis of CMRS
A Marvao, C Biffi, R Walsh, G Doumou, T Dawes, W Shi, W Bai, A Berry, ...
Heart 104 (Suppl_5), 2018
2018
5 Defining the effects of genetic variation using machine learning analysis of CMRS: a study in hypertrophic cardiomyopathy and in a healthy population
A de Marvao, C Biffi, R Walsh, G Doumou, T Dawes, W Shi, W Bai, A Berry, ...
Heart 104 (Suppl 5), A7-A8, 2018
2018
In severe aortic stenosis, decreased systemic vascular resistance is associated with a larger, thicker walled ventricle except for the septum
A Bhuva, T Treibel, G Doumou, A De Marvao, C Biffi, T Dawes, S Jones, ...
Artery Research 20, 107, 2017
2017
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