| 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 | 852 | 2020 |
| 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 | 751 | 2018 |
| 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 | 520 | 2017 |
| 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 | 226 | 2019 |
| 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 | 187 | 2020 |
| 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 | 154 | 2018 |
| 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 | 115 | 2020 |
| 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 | 88 | 2018 |
| 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 | 83 | 2020 |
| 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 | 70 | 2021 |
| 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 | 68 | 2019 |
| 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 | 68 | 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 | 64 | 2020 |
| Mood 2020: A public benchmark for out-of-distribution detection and localization on medical images D Zimmerer, PM Full, F Isensee, P Jäger, T Adler, J Petersen, G Köhler, ... IEEE transactions on medical imaging 41 (10), 2728-2738, 2022 | 53 | 2022 |
| International conference on medical image computing and computer-assisted intervention W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ... Springer, 2017 | 51 | 2017 |
| Enhancing MR image segmentation with realistic adversarial data augmentation C Chen, C Qin, C Ouyang, Z Li, S Wang, H Qiu, L Chen, G Tarroni, W Bai, ... Medical Image Analysis 82, 102597, 2022 | 50 | 2022 |
| Human-level CMR image analysis with deep fully convolutional networks W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ... arXiv preprint arXiv:1710.09289, 2017 | 41 | 2017 |
| 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 | 40 | 2012 |
| Learning under distributed weak supervision M Rajchl, MCH Lee, F Schrans, A Davidson, J Passerat-Palmbach, ... arXiv preprint arXiv:1606.01100, 2016 | 36 | 2016 |
| 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 | 34 | 2020 |
Daniel RueckertTechnical University of Munich and Imperial College Londontum.de üzerinde doğrulanmış e-posta adresine sahip