Article

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

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

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.