Giacomo Tarroni
Giacomo Tarroni
Research Fellow, Imperial College London
Verifierad e-postadress på imperial.ac.uk
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Standardized cardiovascular magnetic resonance imaging (CMR) protocols, society for cardiovascular magnetic resonance: board of trustees task force on standardized protocols
CM Kramer, J Barkhausen, SD Flamm, RJ Kim, E Nagel
Journal of Cardiovascular Magnetic Resonance 10 (1), 1-10, 2008
5762008
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), 65, 2018
2712018
Semi-supervised learning for network-based cardiac MR image segmentation
W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
1462017
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
1102020
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
International Conference on Medical Image Computing and Computer-Assisted …, 2018
472018
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
432019
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
402018
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
362012
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
302011
Unsupervised multi-modal style transfer for cardiac MR segmentation
C Chen, C Ouyang, G Tarroni, J Schlemper, H Qiu, W Bai, D Rueckert
International Workshop on Statistical Atlases and Computational Models of …, 2019
222019
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
222018
Human-level cmr image analysis with deep fully convolutional networks
W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ...
222017
Learning under distributed weak supervision
M Rajchl, MCH Lee, F Schrans, A Davidson, J Passerat-Palmbach, ...
arXiv preprint arXiv:1606.01100, 2016
212016
A supervised learning approach for the robust detection of heart beat in plethysmographic data
E Grisan, G Cantisani, G Tarroni, SK Yoon, M Rossi
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
172015
Cubic LSTMs for video prediction
H Fan, L Zhu, Y Yang
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8263-8270, 2019
162019
Learning shape priors for robust cardiac MR segmentation from multi-view images
C Chen, C Biffi, G Tarroni, S Petersen, W Bai, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2019
142019
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
132020
Estimation of prenatal aorta intima-media thickness from ultrasound examination
E Veronese, G Tarroni, S Visentin, E Cosmi, MG Linguraru, E Grisan
Physics in Medicine & Biology 59 (21), 6355, 2014
132014
Learning disentangled representations with reference-based variational autoencoders
A Ruiz, O Martinez, X Binefa, J Verbeek
arXiv preprint arXiv:1901.08534, 2019
112019
MRI-based quantification of myocardial perfusion at rest and stress using automated frame-by-frame segmentation and non-rigid registration
G Tarroni, AR Patel, F Veronesi, J Walter, C Lamberti, RM Lang, ...
2010 Computing in Cardiology, 1-4, 2010
112010
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Artiklar 1–20