| 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 | 219 | 2012 |
| 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 | 71 | 2013 |
| 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 | 60 | 2017 |
| 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 | 51 | 2020 |
| 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 | 46 | 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 App. 16/094,900, 2019 | 39 | 2019 |
| 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 | 38 | 2018 |
| 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 | 36 | 2018 |
| 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 | 30 | 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 | 28 | 2016 |
| 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 | 26 | 2019 |
| 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 | 24 | 2014 |
| Guidewire tracking using a novel sequential segment optimization method in interventional X-ray videos BJ Chen, Z Wu, S Sun, D Zhang, T Chen 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 103-106, 2016 | 23 | 2016 |
| 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 | 23 | 2013 |
| Pyramid Convolutional RNN for MRI Reconstruction P Wang, EZ Chen, T Chen, VM Patel, S Sun arXiv preprint arXiv:1912.00543, 2019 | 22 | 2019 |
| Segmentation and representation network for pose discrimination S Kluckner, VK Singh, S Sun, O Lehmann, K Ma, J Wang, T Chen US Patent 10,186,038, 2019 | 22* | 2019 |
| Leveraging on local and global textures of brain tissues for robust automatic brain tumor detection S Bhattacharya, S Sun, T Chen, A Kamen US Patent 10,055,839, 2018 | 21* | 2018 |
| System and method for automatically detecting a target object from a 3d image Q Song, S Sun, H Chen, J Bai, F Gao, YIN Youbing US Patent App. 15/996,434, 2019 | 19 | 2019 |
| Visualizing brain network connectivity S Sudarsky, MS Nadar, S Sun, A Lefebvre, B Geiger US Patent 9,519,981, 2016 | 19 | 2016 |
| Automated measurement of uptake in cerebellum, liver, and aortic arch in full-body FDG PET/CT scans C Bauer, S Sun, W Sun, J Otis, A Wallace, BJ Smith, JJ Sunderland, ... Medical Physics 39, 3112, 2012 | 19 | 2012 |
Ziyan WuUII America, Inc.Verified email at rpi.edu
