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2020 – today
- 2023
[c9]Qingyang Wu, Huo Quanrui, Yuqiao Ning, Chenya Bian, Guo Zhen, Shiwen Shen:
A Survey of Binary Code Security Analysis. DSIT 2023: 42-49- [c8]Shiwen Shen, Guo Z. Zhen, Liu T. Tianling, Bian C. Chenya, Ning Y. Yuqiao, Chen Y. Yang:
Research and Analysis of Vulnerabilities in Intelligent Connected Vehicle Components. DSIT 2023: 255-264 - 2022
- [j5]Tengpeng Li, Kaihua Zhang
, Shiwen Shen, Bo Liu, Qingshan Liu, Zhu Li:
Image Co-Saliency Detection and Instance Co-Segmentation Using Attention Graph Clustering Based Graph Convolutional Network. IEEE Trans. Multim. 24: 492-505 (2022) - 2020
- [c7]Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu:
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection. CVPR 2020: 9047-9056 - [c6]Guang Chen, Shiwen Shen, Longyin Wen, Si Luo, Liefeng Bo:
Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering. ICRA 2020: 10052-10058 - [i4]Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu:
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection. CoRR abs/2003.06167 (2020) - [i3]Guang Chen, Shiwen Shen, Longyin Wen, Si Luo, Liefeng Bo:
Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering. CoRR abs/2005.13131 (2020)
2010 – 2019
- 2019
- [j4]Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu:
An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification. Expert Syst. Appl. 128: 84-95 (2019) - [j3]Wenyuan Li, Jiayun Li, Karthik V. Sarma, King Chung Ho, Shiwen Shen, Beatrice S. Knudsen, Arkadiusz Gertych, Corey W. Arnold:
Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images. IEEE Trans. Medical Imaging 38(4): 945-954 (2019) - [c5]Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu:
Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis. CVPR Workshops 2019: 63-66 - 2018
- [b1]Shiwen Shen:
Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis. University of California, Los Angeles, USA, 2018 - [c4]Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong:
Computed Tomography Image Enhancement Using 3D Convolutional Neural Network. DLMIA/ML-CDS@MICCAI 2018: 291-299 - [i2]Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu:
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification. CoRR abs/1806.00712 (2018) - [i1]Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong:
Computed Tomography Image Enhancement using 3D Convolutional Neural Network. CoRR abs/1807.06821 (2018) - 2017
- [j2]Shiwen Shen, Simon X. Han, Panayiotis Petousis, Robert E. Weiss, Frank Meng, Alex A. T. Bui, William Hsu:
A Bayesian model for estimating multi-state disease progression. Comput. Biol. Medicine 81: 111-120 (2017) - [c3]Shiwen Shen, Alex A. T. Bui, William Hsu:
Robust Lung Nodule Classification using 2.5D Convolutional Neural Network. AMIA 2017 - 2015
- [j1]Shiwen Shen, Alex A. T. Bui, Jason Cong, William Hsu:
An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy. Comput. Biol. Medicine 57: 139-149 (2015) - [c2]Shiwen Shen, Simon X. Han, Panayiotis Petousis, Frank Meng, William Hsu, Alex A. T. Bui:
A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. AMIA 2015 - 2014
- [c1]Nóirín Duggan, Egil Bae, Shiwen Shen, William Hsu, Alex A. T. Bui, Edward Jones, Martin Glavin, Luminita A. Vese:
A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods. EMMCVPR 2014: 478-491
Coauthor Index
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