| 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 38 (9), 2151-2164, 2019 | 219 | 2019 |
| 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, 2805-2812, 2015 | 94 | 2015 |
| 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 | 88 | 2017 |
| 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, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 84 | 2018 |
| Explainable anatomical shape analysis through deep hierarchical generative models C Biffi, JJ Cerrolaza, G Tarroni, W Bai, A De Marvao, O Oktay, C Ledig, ... IEEE transactions on medical imaging 39 (6), 2088-2099, 2020 | 59 | 2020 |
| 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, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 32 | 2018 |
| 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 21 (4), 417-427, 2020 | 17 | 2020 |
| 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, ... Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018 | 5 | 2018 |
| Explainable shape analysis through deep hierarchical generative models: application to cardiac remodeling C Biffi, J Cerrolaza, G Tarroni, W Bai, O Oktay, L Le Folgoc, K Kamnitsas, ... arXiv preprint arXiv:1907.00058, 2019 | 1 | 2019 |
| P187: 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 (1), 107-107, 2017 | 1 | 2017 |
| 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 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 |
| P184: Increased Arterial Stiffness is associated with High Inflammatory Activity in Rheumatoid Arthritis S Velmakin, E Troitskaya, S Villevalde, Z Kobalava Artery Research 20 (1), 106-106, 2017 | | 2017 |
| Mapping human brain development at new spatial resolutions using deep learning and high-resolution quantitative MRI G Doumou, H Lin, S Lorio, L Vaculčiaková, KJ Pine, N Weiskopf, ... | | |
| downloaded from the King’s Research Portal at https://kclpure. kcl. ac. uk/portal G Doumou | | |
| Mapping human brain development at new spatial resolutions using Artificial Intelligence and 7T Magnetic Resonance Imaging: Application on Paediatric Epilepsy G Doumou, D Carmichael, D Alexander, J O'Muircheartaigh | | |
