Items where Author is "Bai, W."
Chen, C., Qin, C., Ouyang, C. (2022). Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Analysis, 82, article number 102597. doi: 10.1016/j.media.2022.102597
Sriram, V., Agarwal, S., Yan, S. ORCID: 0000-0001-8968-6616 (2021).
A Comparative Study on the Nonlinear Interaction Between a Focusing Wave and Cylinder Using State-of-the-art Solvers: Part A.
International Journal of Offshore and Polar Engineering, 31(1),
pp. 1-10.
doi: 10.17736/ijope.2021.jc820
Bai, W., Suzuki, H., Huang, J. (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. (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. (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 (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. (2020). Deep Learning for Cardiac Image Segmentation: A Review. Frontiers in Cardiovascular Medicine, 7, article number 25. doi: 10.3389/fcvm.2020.00025
Ransley, E., Yan, S. ORCID: 0000-0001-8968-6616, Brown, S. (2020).
A Blind Comparative Study of Focused Wave Interactions with Floating Structures (CCP-WSI Blind Test Series 3).
International Journal of Offshore and Polar Engineering, 30(1),
pp. 1-10.
doi: 10.17736/ijope.2020.jc774
Tarroni, G. ORCID: 0000-0002-0341-6138, Bai, W., Oktay, O. (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
Chen, C., Ouyang, C., Tarroni, G. ORCID: 0000-0002-0341-6138 (2020).
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.
In: Pop, M., Sermesant, M., Camara, O. (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 (2019).
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
In: Shen, D., Liu, T., Peters, T. M. (Eds.),
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science, vol 11765.
Tarroni, G. ORCID: 0000-0002-0341-6138, Oktay, O., Bai, W. (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. (2019). Deep learning for cardiac image segmentation: A review. City, university of London.
Tarroni, G. ORCID: 0000-0002-0341-6138, Oktay, O., Sinclair, M. (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 (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 (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. (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