| Method and system for anatomical object detection using marginal space deep neural networks B Georgescu, Y Zheng, H Nguyen, VK Singh, D Comaniciu, D Liu US Patent 9,730,643, 2017 | 277 | 2017 |
| 3D deep learning for efficient and robust landmark detection in volumetric data Y Zheng, D Liu, B Georgescu, H Nguyen, D Comaniciu Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 222 | 2015 |
| Integrated feature selection and higher-order spatial feature extraction for object categorization D Liu, G Hua, P Viola, T Chen 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 188 | 2008 |
| Hierarchical parsing and semantic navigation of full body CT data S Seifert, A Barbu, SK Zhou, D Liu, J Feulner, M Huber, M Suehling, ... Medical Imaging 7259, 725902, 2009 | 179 | 2009 |
| Method and system for anatomical object detection using marginal space deep neural networks B Georgescu, Y Zheng, H Nguyen, VK Singh, D Comaniciu, D Liu US Patent 9,668,699, 2017 | 171 | 2017 |
| Method and system for approximating deep neural networks for anatomical object detection D Liu, N Lay, SK Zhou, J Kretschmer, H Nguyen, VK Singh, Y Zheng, ... US Patent 9,633,306, 2017 | 147 | 2017 |
| A hierarchical visual model for video object summarization D Liu, G Hua, T Chen IEEE transactions on pattern analysis and machine intelligence 32 (12), 2178 …, 2010 | 139 | 2010 |
| Automatic vertebra labeling in large-scale 3D CT using deep image-to-image network with message passing and sparsity regularization D Yang, T Xiong, D Xu, Q Huang, D Liu, SK Zhou, Z Xu, JH Park, M Chen, ... Information Processing in Medical Imaging: 25th International Conference …, 2017 | 129 | 2017 |
| Automatic Detection and Segmentation of Lymph Nodes from CT Data A Barbu, M Suehling, X Xu, D Liu, SK Zhou, D Comaniciu IEEE transactions on medical imaging, 2011 | 116 | 2011 |
| Unsupervised image categorization and object localization using topic models and correspondences between images D Liu, T Chen 2007 IEEE 11th International Conference on Computer Vision, 1-7, 2007 | 84 | 2007 |
| Deep image-to-image network learning for medical image analysis SK Zhou, D Comaniciu, B Georgescu, Y Zheng, D Liu, D Xu US Patent 9,760,807, 2017 | 77 | 2017 |
| Early therapy response assessment of lesions D Liu, SK Zhou, M Kramer, M Sühling, C Tietjen, G Soza, A Wimmer US Patent 9,655,563, 2017 | 75 | 2017 |
| Search strategies for multiple landmark detection by submodular maximization D Liu, KS Zhou, D Bernhardt, D Comaniciu 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 71 | 2010 |
| A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images D Wu, D Liu, Z Puskas, C Lu, A Wimmer, C Tietjen, G Soza, SK Zhou 2012 IEEE Conference on Computer Vision and Pattern Recognition, 980-987, 2012 | 64 | 2012 |
| Automatic detection and segmentation of axillary lymph nodes A Barbu, M Suehling, X Xu, D Liu, S Zhou, D Comaniciu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, 28-36, 2010 | 64 | 2010 |
| Method and system for patient-specific computational modeling and simulation for coupled hemodynamic analysis of cerebral vessels P Sharma, T Mansi, V Mihalef, J Zhang, D Liu, SK Zhou, B Georgescu, ... US Patent 9,141,763, 2015 | 53 | 2015 |
| Multiple landmark detection in medical images based on hierarchical feature learning and end-to-end training D Xu, T Xiong, D Liu, SK Zhou, M Chen, D Comaniciu US Patent 10,210,613, 2019 | 51 | 2019 |
| A topic-motion model for unsupervised video object discovery D Liu, T Chen 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 48 | 2007 |
| Deep learning based bone removal in computed tomography angiography M Chen, TS Kim, J Kretschmer, S Seifert, SK Zhou, M Schöbinger, D Liu, ... US Patent 10,582,907, 2020 | 45 | 2020 |
| DISCOV: A framework for discovering objects in video D Liu, T Chen IEEE Transactions on Multimedia 10 (2), 200-208, 2008 | 43 | 2008 |
S. Kevin ZhouProfessor, USTC, FAIMBE, FIAMBE, FIEEE, FMICCAI, FNAIDirección de correo verificada de ustc.edu.cn
