| Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approach S Sun, C Bauer, R Beichel IEEE transactions on medical imaging 31 (2), 449-460, 2012 | 265 | 2012 |
| Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging Z Gao, X Wang, S Sun, D Wu, J Bai, Y Yin, X Liu, H Zhang, ... Neural Networks, 2019 | 103 | 2019 |
| Method and system for artificial intelligence based medical image segmentation SK Zhou, M Chen, H Ding, B Georgescu, MA Gulsun, TS Kim, AP Kiraly, ... US Patent 10,878,219, 2020 | 94 | 2020 |
| Depthsynth: Real-time realistic synthetic data generation from cad models for 2.5 d recognition B Planche, Z Wu, K Ma, S Sun, S Kluckner, O Lehmann, T Chen, A Hutter, ... 3D Vision (3DV), 2017 International Conference on, 1-10, 2017 | 91 | 2017 |
| Graph-Based IVUS Segmentation with Efficient Computer-Aided Refinement S Sun, M Sonka, R Beichel Medical Imaging, IEEE Transactions on 32 (8), 1536 - 1549, 2013 | 90 | 2013 |
| Salient object detection in the distributed cloud-edge intelligent network Z Gao, H Zhang, S Dong, S Sun, X Wang, G Yang, W Wu, S Li, ... IEEE Network, 2020 | 76 | 2020 |
| Foal: Fast online adaptive learning for cardiac motion estimation H Yu, S Sun, H Yu, X Chen, H Shi, TS Huang, T Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 62 | 2020 |
| Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning B Kong, S Sun, X Wang, Q Song, S Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 61 | 2018 |
| Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning Z Ma, S Zhou, X Wu, H Zhang, W Yan, S Sun, J Zhou Physics in medicine and biology, 2018 | 57 | 2018 |
| End-to-end multimodal image registration via reinforcement learning J Hu, Z Luo, X Wang, S Sun, Y Yin, K Cao, Q Song, S Lyu, X Wu Medical Image Analysis 68, 101878, 2021 | 53 | 2021 |
| Method and system for classification of endoscopic images using deep decision networks VN Murthy, VK Singh, S Sun, S Bhattacharya, K Ma, A Kamen, ... US Patent 10,482,313, 2019 | 50 | 2019 |
| Pyramid convolutional RNN for MRI image reconstruction EZ Chen, P Wang, X Chen, T Chen, S Sun IEEE Transactions on Medical Imaging 41 (8), 2033-2047, 2022 | 42 | 2022 |
| Motion pyramid networks for accurate and efficient cardiac motion estimation H Yu, X Chen, H Shi, T Chen, TS Huang, S Sun Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 41 | 2020 |
| Automatic Tissue Differentiation Based on Confocal Endomicroscopic Images for Intraoperative Guidance in Neurosurgery A Kamen, S Sun, S Wan, S Kluckner, T Chen, AM Gigler, E Simon, ... BioMed research international 2016, 2016 | 35 | 2016 |
| Short Term Cloud Coverage Prediction using Ground Based All Sky Imager S Sun, J Ernst, A Sapkota, E Ritzhaupt‐Kleissl, J Wiles, J Bamberger, ... IEEE International Conference on Smart Grid Communications, 2014 | 33 | 2014 |
| Lung segmentation refinement based on optimal surface finding utilizing a hybrid desktop/virtual reality user interface S Sun, M Sonka, RR Beichel Computerized Medical Imaging and Graphics 37 (1), 15–27, 2013 | 33 | 2013 |
| Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning S Sun, J Hu, M Yao, J Hu, X Yang, Q Song, X Wu Asian Conference on Computer Vision, 511-526, 2018 | 32 | 2018 |
| Visualizing brain network connectivity S Sudarsky, MS Nadar, S Sun, A Lefebvre, B Geiger US Patent 9,519,981, 2016 | 32 | 2016 |
| Pyramid convolutional RNN for MRI reconstruction P Wang, EZ Chen, T Chen, VM Patel, S Sun arXiv preprint arXiv:1912.00543 2 (3), 2019 | 31 | 2019 |
| Multi-scale neural odes for 3d medical image registration J Xu, EZ Chen, X Chen, T Chen, S Sun Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 30 | 2021 |
Terrence ChenUII America, Inc.Verified email at uii-ai.com
