| An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification S Shen, SX Han, DR Aberle, AA Bui, W Hsu Expert systems with applications 128, 84-95, 2019 | 248 | 2019 |
| An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy S Shen, AAT Bui, J Cong, W Hsu Computers in biology and medicine 57, 139-149, 2015 | 138 | 2015 |
| Path R-CNN for prostate cancer diagnosis and gleason grading of histological images W Li, J Li, KV Sarma, KC Ho, S Shen, BS Knudsen, A Gertych, CW Arnold IEEE transactions on medical imaging 38 (4), 945-954, 2018 | 117 | 2018 |
| Adaptive graph convolutional network with attention graph clustering for co-saliency detection K Zhang, T Li, S Shen, B Liu, J Chen, Q Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 106 | 2020 |
| Image co-saliency detection and instance co-segmentation using attention graph clustering based graph convolutional network T Li, K Zhang, S Shen, B Liu, Q Liu, Z Li IEEE Transactions on Multimedia 24, 492-505, 2021 | 32 | 2021 |
| Efficient pig counting in crowds with keypoints tracking and spatial-aware temporal response filtering G Chen, S Shen, L Wen, S Luo, L Bo 2020 IEEE International Conference on Robotics and Automation (ICRA), 10052 …, 2020 | 24 | 2020 |
| Computed tomography image enhancement using 3D convolutional neural network M Li, S Shen, W Gao, W Hsu, J Cong International Workshop on Deep Learning in Medical Image Analysis, 291-299, 2018 | 23 | 2018 |
| A technique for lung nodule candidate detection in CT using global minimization methods N Duggan, E Bae, S Shen, W Hsu, A Bui, E Jones, M Glavin, L Vese Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th …, 2015 | 22 | 2015 |
| Deep-learning-based cancer classification using a hierarchical classification framework KH Sung, W Hsu, S Shen, X Zhong US Patent 10,939,874, 2021 | 14 | 2021 |
| A Bayesian model for estimating multi-state disease progression S Shen, SX Han, P Petousis, RE Weiss, F Meng, AAT Bui, W Hsu Computers in biology and medicine 81, 111-120, 2017 | 14 | 2017 |
| Adaptive non-local means filtering for image deblocking S Shen, X Fang, C Wang 2011 4th International Congress on Image and Signal Processing 2, 656-659, 2011 | 9 | 2011 |
| Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis. S Shen, SX Han, DR Aberle, AAT Bui, W Hsu CVPR workshops, 63-66, 2019 | 6 | 2019 |
| Convolutional neural networks for variable prediction using raw data S Shen, D Zhu, F Pan US Patent 11,200,577, 2021 | 5 | 2021 |
| Unified artificial intelligence model for multiple customer value variable prediction S Shen, D Zhu, F Pan US Patent 11,276,071, 2022 | 4 | 2022 |
| Densely connected neural networks with output forwarding S Shen, D Zhu, F Pan US Patent App. 15/692,371, 2019 | 4 | 2019 |
| Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis S Shen University of California, Los Angeles, 2018 | 3 | 2018 |
| Quantitative MRI-Driven Deep Learning for Detection of Clinical Significant Prostate Cancer S Shen, X Zhong, W Hsu, A Bui, H Wu, M Kuo, S Raman, D Margolis, ... International Society for Magnetic Resonance in Medicine (ISMRM), 07-13, 2016 | 3 | 2016 |
| Patch-adaptive non-local means filtering for image deblocking using a no-reference metric S Shen, X Fang, C Wang 2012 International Conference on Computer Science and Information Processing …, 2012 | 2 | 2012 |
| A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. S Shen, SX Han, P Petousis, F Meng, W Hsu, AAT Bui AMIA, 2015 | 1 | 2015 |
| Unified artificial intelligence model for multiple customer value variable prediction S Shen, D Zhu, F Pan US Patent App. 17/538,252, 2022 | | 2022 |
Jingsheng Jason CongVolgenau Chair for Engineering Excellence, Computer Science and Electrical Engineering, UniversityПотвърден имейл адрес: cs.ucla.edu
