Shiwen Shen
Shiwen Shen
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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
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
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
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
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
International workshop on energy minimization methods in computer vision and …, 2015
Computed tomography image enhancement using 3D convolutional neural network
M Li, S Shen, W Gao, W Hsu, J Cong
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
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
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
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
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
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, ...
Proc. Intl. Soc. Mag. Reson. Med 24, 0584, 2016
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, 2021
Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis
S Shen
University of California, Los Angeles, 2018
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
Densely connected neural networks with output forwarding
S Shen, D Zhu, F Pan
US Patent App. 15/692,371, 2019
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
Deep-learning-based cancer classification using a hierarchical classification framework
KH Sung, W Hsu, S Shen, X Zhong
US Patent 10,939,874, 2021
Convolutional neural networks for variable prediction using raw data
S Shen, D Zhu, F Pan
US Patent App. 15/692,481, 2019
Unified artificial intelligence model for multiple customer value variable prediction
S Shen, D Zhu, F Pan
US Patent App. 15/692,422, 2019
Improving the Robustness of Deep Learning Models: Application in Lung Nodule Detection
W Hsu, S Shen, A Bui
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