Article

Tarroni, G. ORCID: 0000-0002-0341-6138, Bai, W., Oktay, O., Schuh, A., Suzuki, H., Glocker, B., Matthews, P. M. and Rueckert, D. (2020). Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank. Scientific Reports, 10(1), 2408.. doi: 10.1038/s41598-020-58212-2

Biffi, C., Cerrolaza, J. J., Tarroni, G. ORCID: 0000-0002-0341-6138, Bai, W., Marvao, A. de, Oktay, O., Ledig, C., Folgoc, L. L., Kamnitsas, K., Doumou, G., Duan, J., Prasad, S. K., Cook, S. A., O'Regan, D. P. and Rueckert, D. (2020). Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models. IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2020.2964499

Bai, W., Suzuki, H., Huang, J., Francis, C., Wang, S., Tarroni, G. ORCID: 0000-0002-0341-6138, Guitton, F., Aung, N., Fung, K., Petersen, S. E., Piechnik, S. K., Neubauer, S., Evangelou, E., Dehghan, A., O'Regan, D., Wilkinson, M., Guo, Y., Matthews, P. M. and Rueckert, D. (2020). A population-based phenome-wide association study of cardiac and aortic structure and function. Nature Medicine, 26(10), pp. 1654-1662. doi: 10.1038/s41591-020-1009-y

Biffi, C., Cerrolaza, J. J., Tarroni, G. ORCID: 0000-0002-0341-6138, de Marvao, A., Cook, S. A., O'Regan, D. P. and Rueckert, D. (2019). 3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), doi: 10.1109/ISBI.2019.8759328

Tarroni, G. ORCID: 0000-0002-0341-6138, Oktay, O., Bai, W., Schuh, A., Suzuki, H., Passerat-Palmbach, J., De Marvao, A., O’Regan, D. P., Cook, S., Glocker, B., Matthews, P M. and Rueckert, D. (2019). Learning-based quality control for cardiac MR images. IEEE Transactions on Medical Imaging, 38(5), pp. 1127-1138. doi: 10.1109/TMI.2018.2878509

Bai, W., Sinclair, M., Tarroni, G. ORCID: 0000-0002-0341-6138, Oktay, O., Rajchl, M., Vaillant, G., Lee, A. M., Aung, N., Lukaschuk, E., Sanghvi, M. M., Zemrak, F., Fung, K., Paiva, J. M., Carapella, V., Kim, Y. J., Suzuki, H., Kainz, B., Matthews, P M., Petersen, S. E., Piechnik, S. K., Neubauer, S., Glocker, B. and Rueckert, D. (2018). Automated cardiovascular magnetic resonance image analysis with fully convolutional networks. Journal of Cardiovascular Magnetic Resonance, 20, 65.. doi: 10.1186/s12968-018-0471-x

Conference or Workshop Item

Wang, S., Tarroni, G. ORCID: 0000-0002-0341-6138, Qin, C., Mo, Y., Dai, C., Chen, C., Glocker, B., Guo, Y., Rueckert, D. and Bai, W. (2020). Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. Paper presented at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, 04 - 08 October 2020, Lima, Peru.

Chen, C., Qin, C., Qiu, H., Ouyang, C., Wang, S., Chen, L., Tarroni, G. ORCID: 0000-0002-0341-6138, Bai, W. and Rueckert, D. (2020). Realistic Adversarial Data Augmentation for MR Image Segmentation. Paper presented at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, 04 - 08 October 2020, Lima, Peru.

Chen, C., Ouyang, C., Tarroni, G. ORCID: 0000-0002-0341-6138, Schlemper, J., Qiu, H., Bai, W. and Rueckert, D. (2020). Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. In: Pop, M., Sermesant, M., Camara, O., Zhuang, X., Li, S., Young, A., Mansi, T. and Suinesiaputra, A. (Eds.), Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges. STACOM 2019. (pp. 209-219). Cham, Switzerland: Springer. ISBN 978-3-030-39073-0

Bai, W., Chen, C., Tarroni, G. ORCID: 0000-0002-0341-6138, Duan, J., Guitton, F., Petersen, S. E., Guo, Y., Matthews, P. M. and Rueckert, D. (2019). Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. In: Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. and Khan, A. (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science, vol 11765. (pp. 541-549). Cham: Springer. ISBN 9783030322441

Tarroni, G. ORCID: 0000-0002-0341-6138, Oktay, O., Sinclair, M., Bai, W., Schuh, A., Suzuki, H., de Marvao, A., O'Regan, D., Cook, S. and Rueckert, D. (2018). A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Lecture Notes in Computer Science, 11070. (pp. 268-276). Cham: Springer. ISBN 978-3-030-00927-4

Biffi, C., Oktay, O., Tarroni, G. ORCID: 0000-0002-0341-6138, De Marvao, A., Bai, W., Doumou, G., Rajchl, M., Bedair, R., Prasad, S., Cook, S., O'Regan, D. and Rueckert, D. (2018). Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018. Lecture Notes in Computer Science, 11071. (pp. 464-471). Cham: Springer. ISBN 978-3-030-00933-5

Bai, W., Suzuki, H., Qin, C., Tarroni, G. ORCID: 0000-0002-0341-6138, Oktay, O., Matthews, P. M. and Rueckert, D. (2018). Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Lecture Notes in Computer Science, 11073. (pp. 586-594). Cham: Springer. ISBN 978-3-030-00936-6

Working Paper

Rajchl, M., Lee, M., Schrans, F., Davidson, A., Passerat-Palmbach, J., Tarroni, G. ORCID: 0000-0002-0341-6138, Alansary, A., Oktay, O., Kainz, B. and Rueckert, D. (2020). Learning under Distributed Weak Supervision. .

Chen, C., Qin, C., Qiu, H., Tarroni, G. ORCID: 0000-0002-0341-6138, Duan, J., Bai, W. and Rueckert, D. (2019). Deep learning for cardiac image segmentation: A review. City, university of London.