Shiwen Shen

According to our database, Shiwen Shen authored at least 15 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Survey of Binary Code Security Analysis.

Qingyang Wu, Huo Quanrui, Yuqiao Ning, Chenya Bian, Guo Zhen, Shiwen Shen

Proceedings of the 6th International Conference on Data Science and Information Technology, 2023

Research and Analysis of Vulnerabilities in Intelligent Connected Vehicle Components.

Shiwen Shen, Guo Z. Zhen, Liu T. Tianling, Bian C. Chenya, Ning Y. Yuqiao, Chen Y. Yang

Proceedings of the 6th International Conference on Data Science and Information Technology, 2023

2022

Image Co-Saliency Detection and Instance Co-Segmentation Using Attention Graph Clustering Based Graph Convolutional Network.

Tengpeng Li, Kaihua Zhang, Shiwen Shen, Bo Liu, Qingshan Liu, Zhu Li

IEEE Trans. Multim., 2022

2020

Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering.

Guang Chen, Shiwen Shen, Longyin Wen, Si Luo, Liefeng Bo

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection.

Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images.

Wenyuan Li, Jiayun Li, Karthik V. Sarma, King Chung Ho, Shiwen Shen, Beatrice S. Knudsen, Arkadiusz Gertych, Corey W. Arnold

IEEE Trans. Medical Imaging, 2019

An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification.

Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu

Expert Syst. Appl., 2019

Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis.

Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis.

Shiwen Shen

PhD thesis, 2018

Computed Tomography Image Enhancement Using 3D Convolutional Neural Network.

Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

2017

A Bayesian model for estimating multi-state disease progression.

Shiwen Shen, Simon X. Han, Panayiotis Petousis, Robert E. Weiss, Frank Meng, Alex A. T. Bui, William Hsu

Comput. Biol. Medicine, 2017

Robust Lung Nodule Classification using 2.5D Convolutional Neural Network.

Shiwen Shen, Alex A. T. Bui, William Hsu

Proceedings of the AMIA 2017, 2017

2015

An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy.

Shiwen Shen, Alex A. T. Bui, Jason Cong, William Hsu

Comput. Biol. Medicine, 2015

A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer.

Shiwen Shen, Simon X. Han, Panayiotis Petousis, Frank Meng, William Hsu, Alex A. T. Bui

Proceedings of the AMIA 2015, 2015

2014

A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods.

Nóirín Duggan, Egil Bae, Shiwen Shen, William Hsu, Alex A. T. Bui, Edward Jones, Martin Glavin, Luminita A. Vese

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014