Shun Miao
Shun Miao
Staff Research Scientist, PAII Labs
Verified email at paii-labs.com
Title
Cited by
Cited by
Year
A CNN regression approach for real-time 2D/3D registration
S Miao, ZJ Wang, R Liao
IEEE transactions on medical imaging 35 (5), 1352-1363, 2016
3342016
An artificial agent for robust image registration
R Liao, S Miao, P de Tournemire, S Grbic, A Kamen, T Mansi, ...
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1502017
Robust non-rigid registration through agent-based action learning
J Krebs, T Mansi, H Delingette, L Zhang, FC Ghesu, S Miao, AK Maier, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
1362017
Task driven generative modeling for unsupervised domain adaptation: Application to x-ray image segmentation
Y Zhang, S Miao, T Mansi, R Liao
International Conference on Medical Image Computing and Computer-Assisted …, 2018
1212018
Method and System for Image Registration Using an Intelligent Artificial Agent
R Liao, S Miao, P De Tournemire, J Krebs, L Zhang, B Georgescu, S Grbic, ...
US Patent App. 15/587,094, 2017
832017
Real-time 2D/3D registration via CNN regression
S Miao, ZJ Wang, Y Zheng, R Liao
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1430-1434, 2016
752016
Dilated fcn for multi-agent 2d/3d medical image registration
S Miao, S Piat, P Fischer, A Tuysuzoglu, P Mewes, T Mansi, R Liao
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
642018
A review of recent advances in registration techniques applied to minimally invasive therapy
R Liao, L Zhang, Y Sun, S Miao, C Chefd'Hotel
IEEE transactions on multimedia 15 (5), 983-1000, 2013
602013
Deep hierarchical multi-label classification of chest X-ray images
H Chen, S Miao, D Xu, GD Hager, AP Harrison
International Conference on Medical Imaging with Deep Learning, 109-120, 2019
292019
Pairwise domain adaptation module for CNN-based 2-D/3-D registration
J Zheng, S Miao, ZJ Wang, R Liao
Journal of Medical Imaging 5 (2), 021204, 2018
292018
Content-based medical image rendering based on machine learning
K Petkov, S Miao, D Yu, B Georgescu, K Engel, T Mansi, D Comaniciu
US Patent 9,760,690, 2017
292017
3D/2D model-to-image registration by imitation learning for cardiac procedures
D Toth, S Miao, T Kurzendorfer, CA Rinaldi, R Liao, T Mansi, K Rhode, ...
International journal of computer assisted radiology and surgery 13 (8 …, 2018
252018
Toward smart utilization of two X-ray images for 2-D/3-D registration applied to abdominal aortic aneurysm interventions
S Miao, R Liao, M Pfister
Computers & Electrical Engineering 39 (5), 1485-1498, 2013
242013
Unsupervised x-ray image segmentation with task driven generative adversarial networks
Y Zhang, S Miao, T Mansi, R Liao
Medical image analysis 62, 101664, 2020
232020
Weakly supervised universal fracture detection in pelvic x-rays
Y Wang, L Lu, CT Cheng, D Jin, AP Harrison, J Xiao, CH Liao, S Miao
International Conference on Medical Image Computing and Computer-Assisted …, 2019
232019
A hybrid method for 2-D/3-D registration between 3-D volumes and 2-D angiography for trans-catheter aortic valve implantation (TAVI)
S Miao, R Liao, Y Zheng
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
232011
Structured landmark detection via topology-adapting deep graph learning
W Li, Y Lu, K Zheng, H Liao, C Lin, J Luo, CT Cheng, J Xiao, L Lu, CF Kuo, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
222020
Automatic and efficient contrast-based 2-D/3-D fusion for trans-catheter aortic valve implantation (TAVI)
R Liao, S Miao, Y Zheng
Computerized Medical Imaging and Graphics 37 (2), 150-161, 2013
192013
System and method for 3-D/3-D registration between non-contrast-enhanced CBCT and contrast-enhanced CT for abdominal aortic aneurysm stenting
S Miao, R Liao, M Pfister, L Zhang, V Ordy
International Conference on Medical Image Computing and Computer-Assisted …, 2013
182013
Self-supervised learning of pixel-wise anatomical embeddings in radiological images
K Yan, J Cai, D Jin, S Miao, AP Harrison, D Guo, Y Tang, J Xiao, J Lu, ...
arXiv preprint arXiv:2012.02383, 2020
152020
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