Qingsong Yang

发表

Spectral CT Reconstruction With Image Sparsity and Spectral Mean

Ge Wang, Wenxiang Cong, Jiliu Zhou, 2016, IEEE Transactions on Computational Imaging.

Optimal Selection for Regularization Parameter in Iterative CT Reconstruction Based on the Property of Natural Image Statistics

X. Chen, Hengyong Yu, Ge Wang, 2015 .

Reducing Metal Streak Artifacts in CT Images via Deep Learning : Pilot Results

Yannan Jin, Bruno De Man, Yan Xi, 2017 .

Tomosynthesis-based Tomography for Intraoperative Evaluation of Breast Tumor Margin A Simulation Study

Ge Wang, Qingsong Yang, Jie Zhang, 2017 .

“Trinity” CT Architecture – A Stationary CT System

W. Cong, Qingsong Yang, L. Gjesteby, 2017 .

Attenuation map reconstruction from TOF PET data

Ge Wang, W. Cong, Qingsong Yang, 2013, 1312.7278.

Big Data from CT Scanning

Atul Padole, Mannudeep K. Kalra, Rongjie Lai, 2015 .

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

Xuanqin Mou, Pingkun Yan, Hengyong Yu, 2017, IEEE Transactions on Medical Imaging.

Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising

Ge Wang, Wenxiang Cong, Zhen Zhao, 2018, IEEE Access.

Generative Low-Dose CT Image Denoising

Xuanqin Mou, Pingkun Yan, Mannudeep K. Kalra, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

Hongming Shan, Mannudeep K. Kalra, Ge Wang, 2018, IEEE Transactions on Medical Imaging.

CT Image Denoising with Perceptive Deep Neural Networks pdf

Pingkun Yan, Mannudeep K. Kalra, Ge Wang, 2017, ArXiv.

A dual-stream deep convolutional network for reducing metal streak artifacts in CT images

Bruno De Man, Hongming Shan, Ge Wang, 2019, Physics in medicine and biology.

Deep learning methods to guide CT image reconstruction and reduce metal artifacts

Ge Wang, Ye Zhou, Junping Zhang, 2017, Medical Imaging.

Deep Neural Network for CT Metal Artifact Reduction with a Perceptual Loss Function

Hongming Shan, Yannan Jin, Bruno De Man, 2018 .

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

Uwe Kruger, Yi Zhang, Hongming Shan, 2018, IEEE Transactions on Medical Imaging.

Innovation and fusion of x-ray and optical tomography for mouse studies of breast cancer

Xavier Intes, Wenxiang Cong, Margarida Barroso, 2016, Optical Engineering + Applications.

Simultaneous Emission-Transmission Tomography in an MRI Hardware Framework

Wenxiang Cong, Chunqi Qian, Lars Gjesteby, 2018, IEEE Transactions on Radiation and Plasma Medical Sciences.

Vision 20/20: Simultaneous CT-MRI--Next chapter of multimodality imaging.

Ge Wang, Wenxiang Cong, Michael Vannier, 2015, Medical physics.

A mixed reality approach for stereo-tomographic quantification of lung nodules.

Ge Wang, Wenxiang Cong, Mianyi Chen, 2016, Journal of X-ray science and technology.

Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network"

M. Kalra, Ge Wang, W. Cong, 2018, IEEE Trans. Medical Imaging.

Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising

Ge Wang, W. Cong, Qingsong Yang, 2018, IEEE Access.

Spectral X-Ray CT Image Reconstruction with a Combination of Energy-Integrating and Photon-Counting Detectors

Ge Wang, Wenxiang Cong, Yan Xi, 2016, PloS one.

Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising

W. Cong, Yi Zhang, Qingsong Yang, 2018, ArXiv.