Követés
Shiwen Shen
Shiwen Shen
Apple
E-mail megerősítve itt: ucla.edu
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
2442019
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
1352015
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
1132018
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
1012020
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
292021
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
252018
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
242020
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
222015
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
162017
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
92011
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
62019
Convolutional neural networks for variable prediction using raw data
S Shen, D Zhu, F Pan
US Patent 11,200,577, 2021
52021
Unified artificial intelligence model for multiple customer value variable prediction
S Shen, D Zhu, F Pan
US Patent 11,276,071, 2022
42022
Densely connected neural networks with output forwarding
S Shen, D Zhu, F Pan
US Patent App. 15/692,371, 2019
42019
Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis
S Shen
University of California, Los Angeles, 2018
32018
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
32016
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
22012
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
12015
Unified artificial intelligence model for multiple customer value variable prediction
S Shen, D Zhu, F Pan
US Patent App. 17/538,252, 2022
2022
System and method for video-based pig counting in the crowd
S Shen, G Chen, L Wen, S Luo, L Bo
US Patent 11,263,454, 2022
2022
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