City Research Online

Zimmer, V. A., Gomez, A., Skelton, E. ORCID: 0000-0003-0132-7948 , Wright, R., Wheeler, G., Deng, S., Ghavami, N., Lloyd, K., Matthew, J., Kainz, B., Rueckert, D., Hajnal, J. V. & Schnabel, J. A.view all authors (2023). Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. Medical Image Analysis, 83, article number 102639. doi: 10.1016/j.media.2022.102639

Chen, C., Qin, C., Ouyang, C. , Li, Z., Wang, S., Qiu, H., Chen, L., Tarroni, G. ORCID: 0000-0002-0341-6138, Bai, W. & Rueckert, D.view all authors (2022). Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Analysis, 82, article number 102597. doi: 10.1016/j.media.2022.102597

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. & Rueckert, D.view all authors (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

Wang, S., Tarroni, G. ORCID: 0000-0002-0341-6138, Qin, C. , Mo, Y., Dai, C., Chen, C., Glocker, B., Guo, Y., Rueckert, D. & Bai, W.view all authors (2020). Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, 04 - 08 October 2020, Lima, Peru. doi: 10.1007/978-3-030-59719-1_9

Chen, C., Qin, C., Qiu, H. , Ouyang, C., Wang, S., Chen, L., Tarroni, G. ORCID: 0000-0002-0341-6138, Bai, W. & Rueckert, D.view all authors (2020). Realistic Adversarial Data Augmentation for MR Image Segmentation. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, 04 - 08 October 2020, Lima, Peru. doi: 10.1007/978-3-030-59710-8_65

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. & Rueckert, D.view all authors (2020). Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models. IEEE Transactions on Medical Imaging, 39(6), pp. 2088-2099. doi: 10.1109/tmi.2020.2964499

Chen, C., Qin, C., Qiu, H. , Tarroni, G. ORCID: 0000-0002-0341-6138, Duan, J., Bai, W. & Rueckert, D.view all authors (2020). Deep Learning for Cardiac Image Segmentation: A Review. Frontiers in Cardiovascular Medicine, 7, article number 25. doi: 10.3389/fcvm.2020.00025

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

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

Chen, C., Ouyang, C., Tarroni, G. ORCID: 0000-0002-0341-6138 , Schlemper, J., Qiu, H., Bai, W. & Rueckert, D.view all authors (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. & Suinesiaputra, A.view all authors (Eds.), Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges. STACOM 2019. STACOM 2019, 13 Oct 2019, Shenzen, China. doi: 10.1007/978-3-030-39074-7_22

Bai, W., Chen, C., Tarroni, G. ORCID: 0000-0002-0341-6138 , Duan, J., Guitton, F., Petersen, S. E., Guo, Y., Matthews, P. M. & Rueckert, D.view all authors (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. & Khan, A.view all authors (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science, vol 11765.

Biffi, C., Cerrolaza, J. J., Tarroni, G. ORCID: 0000-0002-0341-6138 , de Marvao, A., Cook, S. A., O'Regan, D. P. & Rueckert, D.view all authors (2019). 3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019-A, pp. 1643-1646. 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. & Rueckert, D.view all authors (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

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

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. & Rueckert, D.view all authors (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. doi: 10.1007/978-3-030-00928-1_31

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. & Rueckert, D.view all authors (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. doi: 10.1007/978-3-030-00934-2_52

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. & Rueckert, D.view all authors (2018). Automated cardiovascular magnetic resonance image analysis with fully convolutional networks. Journal of Cardiovascular Magnetic Resonanc, 20(1), article number 65. doi: 10.1186/s12968-018-0471-x

Bai, W., Suzuki, H., Qin, C. , Tarroni, G. ORCID: 0000-0002-0341-6138, Oktay, O., Matthews, P. M. & Rueckert, D.view all authors (2018). Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. doi: 10.1007/978-3-030-00937-3_67

Kainz, B., Steinberger, M., Wein, W. , Kuklisova-Murgasova, M., Malamateniou, C., Keraudren, K., Torsney-Weir, T., Rutherford, M., Aljabar, P., Hajnal, J. V. & Rueckert, D.view all authors (2015). Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices. IEEE Transactions on Medical Imaging, 34(9), pp. 1901-1913. doi: 10.1109/tmi.2015.2415453