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Giacomo Tarroni
Giacomo Tarroni
Senior Lecturer in AI, City University of London; Research Fellow, Imperial College London
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Deep learning for cardiac image segmentation: a review
C Chen, C Qin, H Qiu, G Tarroni, J Duan, W Bai, D Rueckert
Frontiers in Cardiovascular Medicine 7, 25, 2020
6422020
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ...
Journal of Cardiovascular Magnetic Resonance 20 (1), 1-12, 2018
6232018
Semi-supervised learning for network-based cardiac MR image segmentation
W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ...
Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017
4302017
Self-supervised learning for cardiac mr image segmentation by anatomical position prediction
W Bai, C Chen, G Tarroni, J Duan, F Guitton, SE Petersen, Y Guo, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1882019
Recurrent neural networks for aortic image sequence segmentation with sparse annotations
W Bai, H Suzuki, C Qin, G Tarroni, O Oktay, PM Matthews, D Rueckert
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
1302018
A population-based phenome-wide association study of cardiac and aortic structure and function
W Bai, H Suzuki, J Huang, C Francis, S Wang, G Tarroni, F Guitton, ...
Nature medicine 26 (10), 1654-1662, 2020
1182020
Realistic adversarial data augmentation for MR image segmentation
C Chen, C Qin, H Qiu, C Ouyang, S Wang, L Chen, G Tarroni, W Bai, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
852020
Unsupervised multi-modal style transfer for cardiac MR segmentation
C Chen, C Ouyang, G Tarroni, J Schlemper, H Qiu, W Bai, D Rueckert
Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2020
792020
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
782018
Learning shape priors for robust cardiac MR segmentation from multi-view images
C Chen, C Biffi, G Tarroni, S Petersen, W Bai, D Rueckert
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
582019
Learning-based quality control for cardiac MR images
G Tarroni, O Oktay, W Bai, A Schuh, H Suzuki, J Passerat-Palmbach, ...
IEEE transactions on medical imaging 38 (5), 1127-1138, 2018
562018
Anomaly detection through latent space restoration using vector quantized variational autoencoders
SN Marimont, G Tarroni
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1764-1767, 2021
502021
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
492020
Myocardial perfusion: near-automated evaluation from contrast-enhanced MR images obtained at rest and during vasodilator stress
G Tarroni, C Corsi, PF Antkowiak, F Veronesi, CM Kramer, FH Epstein, ...
Radiology 265 (2), 576-583, 2012
382012
Human-level CMR image analysis with deep fully convolutional networks
W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ...
372017
Learning under distributed weak supervision
M Rajchl, MCH Lee, F Schrans, A Davidson, J Passerat-Palmbach, ...
arXiv preprint arXiv:1606.01100, 2016
342016
Large-scale quality control of cardiac imaging in population studies: application to UK Biobank
G Tarroni, W Bai, O Oktay, A Schuh, H Suzuki, B Glocker, PM Matthews, ...
Scientific reports 10 (1), 2408, 2020
292020
Deep learning for cardiac image segmentation: a review. Front Cardiovasc Med 7: 25
C Chen, C Qin, H Qiu, G Tarroni, J Duan, W Bai, D Rueckert
282020
3D high-resolution cardiac segmentation reconstruction from 2D views using conditional variational autoencoders
C Biffi, JJ Cerrolaza, G Tarroni, A de Marvao, SA Cook, DP O’Regan, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
282019
Left ventricular modelling: a quantitative functional assessment tool based on cardiac magnetic resonance imaging
CA Conti, E Votta, C Corsi, D De Marchi, G Tarroni, M Stevanella, ...
Interface focus 1 (3), 384-395, 2011
282011
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