Part of the Computer Sciences Commons

Works by Shaojie Tang in Computer Sciences

2023

A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images, Fubao Zhu, Longxi Li, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan, Yanting Li, Zhongqiang Zhao, Jianzhou Shi, Zenghong Chen, Chuang Han, Zhixin Jiang, Weihua Zhou
Michigan Tech Publications

2022

A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images, Yu Deng, Ling Wang, Chen Zhao, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou
Michigan Tech Publications

2021

Semantic segmentation using deep learning to extract total extraocular muscles and optic nerve from orbital computed tomography images, Fubao Zhu, Zhengyuan Gao, Chen Zhao, Zelin Zhu, Jinshan Tang, Yanyun Liu, Shaojie Tang, Chengzhi Jiang, Xinhui Li, Min Zhao, Weihua Zhou
Michigan Tech Publications

Analysis on SPECT myocardial perfusion imaging with a tool derived from dynamic programming to deep learning, Haixing Wen, Qiuyue Wei, Jin Long Huang, Shih Chuan Tsai, Chi Yen Wang, Kuo Feng Chiang, Yu Deng, Xiongtao Cui, Rui Gao, Weihua Zhou, Zhiguo Gui, Guang Uei Hung, Shaojie Tang
Michigan Tech Publications

2020

A novel method for ECG signal classification via one-dimensional convolutional neural network, Xuan Hua, Jungang Han, Chen Zhao, Haipeng Tang, Zhuo He, Qinghui Chen, Shaojie Tang, Jinshan Tang, Weihua Zhou
Michigan Tech Publications