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Ge Wang 0001
Person information

- affiliation: Rensselaer Polytechnic Institute, Department of Biomedical Engineering, CBIS, Troy, NY, USA
- affiliation (former): University of Iowa, Departments of Radiology, Biomedical Engineering, and Mathematics, Iowa City, IA, USA
- affiliation (1992 - 1996): Washington University, Mallinckrodt Institute of Radiology, St. Louis, MO, USA
- affiliation (PhD 1992): State University of New York at Buffalo, NY, USA
Other persons with the same name
- Ge Wang — disambiguation page
- Ge Wang 0002
— Stanford University, Center for Computer Research in Music and Acoustics (CCRMA), CA, USA (and 1 more)
- Ge Wang 0003
— Xi'an Jiaotong University, Department of Computer Science and Engineering, China
- Ge Wang 0004 — University of Oxford, Department of Computer Science, UK
- Ge Wang 0005
— ShanghaiTech University, School of Information Science and Technology, China
- Ge Wang 0006
— Beijing University of Posts and Telecommunications, MoE Key Laboratory of Universal Wireless Communications, China
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2020 – today
- 2022
- [j151]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò
, Tim Leiner
, Pier Luigi Dragotti
, Ge Wang
, Daniel Rueckert
, David N. Firmin, Guang Yang
:
AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis. Proc. IEEE 110(2): 224-245 (2022) - [i65]Qing Lyu, Christopher T. Whitlow, Ge Wang:
SoftDropConnect (SDC) - Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis. CoRR abs/2201.08418 (2022) - [i64]Rodrigo de Barros Vimieiro, Chuang Niu, Hongming Shan, Lucas Rodrigues Borges, Ge Wang, Marcelo Andrade da Costa Vieira:
Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain. CoRR abs/2203.11722 (2022) - [i63]Chuang Niu, Giridhar Dasegowda, Pingkun Yan, Mannudeep K. Kalra, Ge Wang:
X-ray Dissectography Improves Lung Nodule Detection. CoRR abs/2203.13118 (2022) - [i62]Wenjun Xia, Hongming Shan, Ge Wang, Yi Zhang:
Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT. CoRR abs/2203.15725 (2022) - [i61]Chuang Niu, Ge Wang:
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection. CoRR abs/2205.00122 (2022) - 2021
- [j150]Chengyi Xiong, Xiaodi Shi, Zhirong Gao, Ge Wang
:
Attention augmented multi-scale network for single image super-resolution. Appl. Intell. 51(2): 935-951 (2021) - [j149]Hanqing Chao, Xi Fang
, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru
, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin
, Iman Mohseni, Luca Saba
, Alessandro Carriero, Zeno Falaschi
, Alessio Pasche, Ge Wang, Mannudeep K. Kalra
, Pingkun Yan
:
Integrative analysis for COVID-19 patient outcome prediction. Medical Image Anal. 67: 101844 (2021) - [j148]Wenxiang Cong
, Yan Xi, Bruno De Man
, Ge Wang
:
Monochromatic image reconstruction via machine learning. Mach. Learn. Sci. Technol. 2(2): 25032 (2021) - [j147]Weiwen Wu
, Dianlin Hu
, Chuang Niu, Lieza Vanden Broeke, Anthony P. H. Butler, Peng Cao, James Atlas, Alexander I. Chernoglazov
, Varut Vardhanabhuti, Ge Wang:
Deep learning based spectral CT imaging. Neural Networks 144: 342-358 (2021) - [j146]Qing Lyu
, Hongming Shan
, Yibin Xie
, Alan C. Kwan
, Yuka Otaki, Keiichiro Kuronuma
, Debiao Li
, Ge Wang
:
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. IEEE Trans. Medical Imaging 40(8): 2170-2181 (2021) - [j145]Ge Wang
, Mathews Jacob, Xuanqin Mou
, Yongyi Shi
, Yonina C. Eldar
:
Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction". IEEE Trans. Medical Imaging 40(11): 2956-2964 (2021) - [j144]Weiwen Wu
, Dianlin Hu
, Chuang Niu
, Hengyong Yu
, Varut Vardhanabhuti
, Ge Wang
:
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction. IEEE Trans. Medical Imaging 40(11): 3002-3014 (2021) - [c26]Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Cross-Modal Attention for MRI and Ultrasound Volume Registration. MICCAI (4) 2021: 66-75 - [c25]Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan:
Task-Oriented Low-Dose CT Image Denoising. MICCAI (6) 2021: 441-450 - [i60]Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, Kyle J. Myers, Rongping Zeng:
Noise Entangled GAN For Low-Dose CT Simulation. CoRR abs/2102.09615 (2021) - [i59]Chuang Niu, Ge Wang:
SPICE: Semantic Pseudo-labeling for Image Clustering. CoRR abs/2103.09382 (2021) - [i58]Arjun Krishna, Kedar Bartake, Chuang Niu, Ge Wang, Youfang Lai, Xun Jia, Klaus Mueller:
Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning. CoRR abs/2103.10493 (2021) - [i57]Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan:
Task-Oriented Low-Dose CT Image Denoising. CoRR abs/2103.13557 (2021) - [i56]Weiwen Wu, Chuang Niu, Shadi Ebrahimian, Hengyong Yu, Mannudeep K. Kalra, Ge Wang:
AI-Enabled Ultra-Low-Dose CT Reconstruction. CoRR abs/2106.09834 (2021) - [i55]Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Cross-modal Attention for MRI and Ultrasound Volume Registration. CoRR abs/2107.04548 (2021) - [i54]Christopher Wiedeman, Ge Wang:
Disrupting Adversarial Transferability in Deep Neural Networks. CoRR abs/2108.12492 (2021) - [i53]Qing Lyu, Sanjeev V. Namjoshi, Emory McTyre, Umit Topaloglu, Richard Barcus, Michael D. Chan, Christina K. Cramer, Waldemar Debinski, Metin N. Gurcan, Glenn J. Lesser, Hui-Kuan Lin, Reginald F. Munden, Boris C. Pasche, Kiran Kumar Solingapuram Sai, Roy E. Strowd, Stephen B. Tatter, Kounosuke Watabe, Wei Zhang, Ge Wang, Christopher T. Whitlow:
A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images. CoRR abs/2110.03588 (2021) - [i52]Fenglei Fan, Mengzhou Li, Fei Wang, Rongjie Lai, Ge Wang:
Expressivity and Trainability of Quadratic Networks. CoRR abs/2110.06081 (2021) - [i51]Hongming Shan, Rodrigo de Barros Vimieiro, Lucas Rodrigues Borges, Marcelo Andrade da Costa Vieira, Ge Wang:
Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography. CoRR abs/2111.06890 (2021) - [i50]Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, Ge Wang:
Phase function estimation from a diffuse optical image via deep learning. CoRR abs/2111.08227 (2021) - [i49]Chuang Niu, Ge Wang:
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance. CoRR abs/2111.15040 (2021) - 2020
- [j143]Yinjin Ma
, Biao Wei, Peng Feng
, Peng He, Xiaodong Guo, Ge Wang
:
Low-Dose CT Image Denoising Using a Generative Adversarial Network With a Hybrid Loss Function for Noise Learning. IEEE Access 8: 67519-67529 (2020) - [j142]Huidong Xie
, Hongming Shan
, Wenxiang Cong
, Chi Liu
, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang
:
Deep Efficient End-to-End Reconstruction (DEER) Network for Few-View Breast CT Image Reconstruction. IEEE Access 8: 196633-196646 (2020) - [j141]Mengzhou Li
, Zheng Fang, Wenxiang Cong, Chuang Niu, Weiwen Wu
, Josef Uher, James Bennett, Jay T. Rubinstein, Ge Wang
:
Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning. IEEE Access 8: 229018-229032 (2020) - [j140]Ge Wang, Lin Yang, Ming Liu
, Xin Yuan, Peng Xiong, Feng Lin, Xiu-Ling Liu
:
ECG signal denoising based on deep factor analysis. Biomed. Signal Process. Control. 57 (2020) - [j139]Fenglei Fan
, Ge Wang
:
Fuzzy logic interpretation of quadratic networks. Neurocomputing 374: 10-21 (2020) - [j138]Yueyang Teng
, Shouliang Qi, Fangfang Han, Yudong Yao, Fenglei Fan
, Qing Lyu, Ge Wang
:
A framework for least squares nonnegative matrix factorizations with Tikhonov regularization. Neurocomputing 387: 78-90 (2020) - [j137]Yiming Lei, Yukun Tian, Hongming Shan
, Junping Zhang
, Ge Wang
, Mannudeep K. Kalra:
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping. Medical Image Anal. 60 (2020) - [j136]Hongming Shan
, Xun Jia
, Pingkun Yan
, Yunyao Li, Harald Paganetti
, Ge Wang
:
Synergizing medical imaging and radiotherapy with deep learning. Mach. Learn. Sci. Technol. 1(2): 21001 (2020) - [j135]Ge Wang
, Jong Chul Ye
, Bruno De Man:
Deep learning for tomographic image reconstruction. Nat. Mach. Intell. 2(12): 737-748 (2020) - [j134]Fenglei Fan
, Jinjun Xiong, Ge Wang
:
Universal approximation with quadratic deep networks. Neural Networks 124: 383-392 (2020) - [j133]Wenxiang Cong, Yan Xi, Paul Fitzgerald, Bruno De Man, Ge Wang
:
Virtual Monoenergetic CT Imaging via Deep Learning. Patterns 1(8): 100128 (2020) - [j132]Qing Lyu
, Hongming Shan
, Ge Wang
:
MRI Super-Resolution With Ensemble Learning and Complementary Priors. IEEE Trans. Computational Imaging 6: 615-624 (2020) - [j131]Fenglei Fan
, Mengzhou Li
, Yueyang Teng
, Ge Wang
:
Soft Autoencoder and Its Wavelet Adaptation Interpretation. IEEE Trans. Computational Imaging 6: 1245-1257 (2020) - [j130]Hengtao Guo
, Uwe Kruger
, Ge Wang
, Mannudeep K. Kalra, Pingkun Yan
:
Knowledge-Based Analysis for Mortality Prediction From CT Images. IEEE J. Biomed. Health Informatics 24(2): 457-464 (2020) - [j129]Chenyu You
, Wenxiang Cong
, Michael W. Vannier, Punam K. Saha
, Eric A. Hoffman
, Ge Wang
, Guang Li, Yi Zhang
, Xiaoliu Zhang, Hongming Shan
, Mengzhou Li
, Shenghong Ju
, Zhen Zhao, Zhuiyang Zhang:
CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE). IEEE Trans. Medical Imaging 39(1): 188-203 (2020) - [j128]Fenglei Fan
, Hongming Shan
, Mannudeep K. Kalra, Ramandeep Singh, Guhan Qian
, Matthew Getzin, Yueyang Teng
, Juergen Hahn
, Ge Wang
:
Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising. IEEE Trans. Medical Imaging 39(6): 2035-2050 (2020) - [j127]Qing Lyu
, Hongming Shan
, Cole Steber, Corbin Helis, Chris Whitlow, Michael Chan, Ge Wang
:
Multi-Contrast Super-Resolution MRI Through a Progressive Network. IEEE Trans. Medical Imaging 39(9): 2738-2749 (2020) - [j126]Christopher Wiedeman, Ge Wang
, Uwe Kruger:
Modeling of moral decisions with deep learning. Vis. Comput. Ind. Biomed. Art 3: 27 (2020) - [c24]Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang:
GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. ECCV (25) 2020: 735-751 - [c23]Yu Gong, Hongming Shan, Yueyang Teng, Hairong Zheng, Ge Wang, Shanshan Wang:
Low-Dose Pet Image Restoration With 2D And 3D Network Prior Learning. ISBI Workshops 2020: 1-4 - [c22]Yu Gong, Hongming Shan, Yueyang Teng, Hairong Zheng, Ge Wang, Shanshan Wang:
Deeply-Supervised Multi-Dose Prior Learning For Low-Dose Pet Imaging. ISBI Workshops 2020: 1-4 - [c21]Huidong Xie
, Hongming Shan, Ge Wang:
3D Few-View CT Image Reconstruction with Deep Learning. ISBI Workshops 2020: 1-4 - [c20]Indranil Guha, Syed Ahmed Nadeem, Chenyu You, Xiaoliu Zhang, Steven M. Levy, Ge Wang, James C. Torner, Punam K. Saha
:
Deep learning based high-resolution reconstruction of trabecular bone microstructures from low-resolution CT scans using GAN-CIRCLE. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170U - [i48]Fenglei Fan, Jinjun Xiong, Ge Wang
:
On Interpretability of Artificial Neural Networks. CoRR abs/2001.02522 (2020) - [i47]Fenglei Fan, Ge Wang
:
Duality of Width and Depth of Neural Networks. CoRR abs/2002.02515 (2020) - [i46]Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang:
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering. CoRR abs/2002.11863 (2020) - [i45]Qing Lyu, Hongming Shan, Yibin Xie, Debiao Li, Ge Wang
:
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. CoRR abs/2006.12700 (2020) - [i44]Mengzhou Li
, David S. Rundle, Ge Wang:
X-ray Photon-Counting Data Correction through Deep Learning. CoRR abs/2007.03119 (2020) - [i43]Chuang Niu, Wenxiang Cong, Fenglei Fan, Hongming Shan, Mengzhou Li, Jimin Liang, Ge Wang:
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction. CoRR abs/2007.03882 (2020) - [i42]Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche
, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Integrative Analysis for COVID-19 Patient Outcome Prediction. CoRR abs/2007.10416 (2020) - [i41]Weiwen Wu, Dianlin Hu, Hengyong Yu, Hongming Shan, Shaoyu Wang, Wenxiang Cong, Chuang Niu, Pingkun Yan, Vince Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. CoRR abs/2008.01846 (2020) - [i40]Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography. CoRR abs/2008.06997 (2020) - [i39]Chuang Niu, Ge Wang:
Noise2Sim - Similarity-based Self-Learning for Image Denoising. CoRR abs/2011.03384 (2020)
2010 – 2019
- 2019
- [j125]Dongxu Liu
, Zhijian Hu, Ge Wang
, Lizhi Sun
:
Sound Transmission-Based Elastography Imaging. IEEE Access 7: 74383-74392 (2019) - [j124]Zhao Peng
, Hongming Shan
, Tianyu Liu, Xi Pei, Ge Wang
, X. George Xu:
MCDNet - A Denoising Convolutional Neural Network to Accelerate Monte Carlo Radiation Transport Simulations: A Proof of Principle With Patient Dose From X-Ray CT Imaging. IEEE Access 7: 76680-76689 (2019) - [j123]Yueyang Teng
, Yudong Yao, Shouliang Qi, Chen Li, Lisheng Xu
, Wei Qian, Fenglei Fan, Ge Wang
:
A novel framework for the NMF methods with experiments to unmixing signals and feature representation. J. Comput. Appl. Math. 362: 205-218 (2019) - [j122]Hongming Shan
, Atul Padole, Fatemeh Homayounieh, Uwe Kruger
, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra
, Ge Wang
:
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. Nat. Mach. Intell. 1(6): 269-276 (2019) - [j121]Yueyang Teng, Yichao Liu, Jinliang Yang, Chen Li, Shouliang Qi, Yan Kang, Fenglei Fan, Ge Wang
:
Graph Regularized Sparse Autoencoders with Nonnegativity Constraints. Neural Process. Lett. 50(1): 247-262 (2019) - [j120]Wenchao Du, Hu Chen
, Peixi Liao, Hongyu Yang, Ge Wang
, Yi Zhang
:
Visual Attention Network for Low-Dose CT. IEEE Signal Process. Lett. 26(8): 1152-1156 (2019) - [j119]Wenjun Xia
, Weiwen Wu, Shanzhou Niu
, Fenglin Liu
, Jiliu Zhou, Hengyong Yu
, Ge Wang
, Yi Zhang
:
Spectral CT Reconstruction - ASSIST: Aided by Self-Similarity in Image-Spectral Tensors. IEEE Trans. Computational Imaging 5(3): 420-436 (2019) - [c19]Pingkun Yan, Hengtao Guo, Ge Wang
, Ruben De Man
, Mannudeep K. Kalra:
Hybrid Neural Networks for Mortality Prediction from LDCT Images. EMBC 2019: 6243-6246 - [c18]Wenjun Xia, Weiwen Wu, Fenglin Liu, Hengyong Yu
, Jiliu Zhou, Ge Wang
, Yi Zhang
:
Spectral Ct Reconstruction Via Self-Similarity In Image-Spectral Tensors. ISBI 2019: 1459-1462 - [p1]Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu
, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Yi Zhang
, Ling Sun, Ge Wang
:
Generative Low-Dose CT Image Denoising. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 277-297 - [i38]Fenglei Fan, Hongming Shan, Ge Wang:
Quadratic Autoencoder for Low-Dose CT Denoising. CoRR abs/1901.05593 (2019) - [i37]Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Knowledge-based Analysis for Mortality Prediction from CT Images. CoRR abs/1902.07687 (2019) - [i36]Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang:
Dual Network Architecture for Few-view CT - Trained on ImageNet Data and Transferred for Medical Imaging. CoRR abs/1907.01262 (2019) - [i35]Qing Lyu, Hongming Shan, Ge Wang
:
MRI Super-Resolution with Ensemble Learning and Complementary Priors. CoRR abs/1907.03063 (2019) - [i34]Hongming Shan, Ge Wang, Yang Yang:
Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach. CoRR abs/1907.09951 (2019) - [i33]Qing Lyu, Hongming Shan, Ge Wang:
Multi-Contrast Super-Resolution MRI Through a Progressive Network. CoRR abs/1908.01612 (2019) - [i32]Wenxiang Cong, Hongming Shan, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang
:
Deep-learning-based Breast CT for Radiation Dose Reduction. CoRR abs/1909.11721 (2019) - [i31]Yu Gong, Yueyang Teng, Hongming Shan, Taohui Xiao, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang:
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising. CoRR abs/1910.06749 (2019) - [i30]Huidong Xie, Hongming Shan, Ge Wang:
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data. CoRR abs/1911.05880 (2019) - [i29]Huidong Xie
, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang
:
Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data. CoRR abs/1912.04278 (2019) - 2018
- [j118]Fenglei Fan
, Ge Wang
:
Learning From Pseudo-Randomness With an Artificial Neural Network-Does God Play Pseudo-Dice? IEEE Access 6: 22987-22992 (2018) - [j117]Chenyu You
, Qingsong Yang, Hongming Shan
, Lars Gjesteby
, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang
, Wenxiang Cong, Ge Wang
:
Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising. IEEE Access 6: 41839-41855 (2018) - [j116]Bo Wu, Fengrong Ou, Yan Deng, Ruxi Liu, Hui Hua, Rentong Chen, Yuyuan Guan, Dan Yang, Lars Gjesteby
, Jiansheng Yang, Michael W. Vannier, Ge Wang
, Yang Liu:
E-Index - A Bibliometric Index of Research Efficiency. IEEE Access 6: 51355-51364 (2018) - [j115]Ge Wang
, Jong Chul Ye, Klaus Mueller, Jeffrey A. Fessler:
Image Reconstruction is a New Frontier of Machine Learning. IEEE Trans. Medical Imaging 37(6): 1289-1296 (2018) - [j114]Hu Chen
, Yi Zhang
, Yunjin Chen
, Junfeng Zhang, Weihua Zhang, Huaiqiang Sun
, Yang Lv
, Peixi Liao, Jiliu Zhou, Ge Wang
:
LEARN: Learned Experts' Assessment-Based Reconstruction Network for Sparse-Data CT. IEEE Trans. Medical Imaging 37(6): 1333-1347 (2018) - [j113]Qingsong Yang, Pingkun Yan
, Yanbo Zhang
, Hengyong Yu
, Yongyi Shi, Xuanqin Mou
, Mannudeep K. Kalra, Yi Zhang
, Ling Sun, Ge Wang
:
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss. IEEE Trans. Medical Imaging 37(6): 1348-1357 (2018) - [j112]Hongming Shan
, Yi Zhang
, Qingsong Yang, Uwe Kruger
, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong
, Ge Wang
:
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network. IEEE Trans. Medical Imaging 37(6): 1522-1534 (2018) - [j111]Hongming Shan
, Yi Zhang
, Qingsong Yang, Uwe Kruger
, Mannudeep K. Kalra, Ling Sun, Wenxiang Cong
, Ge Wang
:
Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network". IEEE Trans. Medical Imaging 37(12): 2750 (2018) - [i28]Fenglei Fan, Ge Wang
:
Learning from Pseudo-Randomness With an Artificial Neural Network - Does God Play Pseudo-Dice? CoRR abs/1801.01117 (2018) - [i27]Fenglei Fan, Hongming Shan, Ge Wang:
Shamap: Shape-based Manifold Learning. CoRR abs/1802.05386 (2018) - [i26]Hongming Shan, Yi Zhang, Qingsong Yang, Uwe Kruger, Wenxiang Cong, Ge Wang:
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network. CoRR abs/1802.05656 (2018) - [i25]Chenyu You, Qingsong Yang, Hongming Shan, Lars Gjesteby, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang, Wenxiang Cong, Ge Wang:
Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising. CoRR abs/1805.00587 (2018) - [i24]Fenglei Fan, Ge Wang
:
Fuzzy Logic Interpretation of Artificial Neural Networks. CoRR abs/1807.03215 (2018) - [i23]Fenglei Fan, Ge Wang
:
Universal Approximation with Quadratic Deep Networks. CoRR abs/1808.00098 (2018) - [i22]Chenyu You, Yi Zhang, Xiaoliu Zhang, Guang Li, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang, Wenxiang Cong, Punam K. Saha, Ge Wang
:
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE). CoRR abs/1808.04256 (2018) - [i21]Pingkun Yan, Hengtao Guo, Ge Wang
, Ruben De Man, Mannudeep K. Kalra:
Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images. CoRR abs/1810.08503 (2018) - [i20]Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra:
Soft Activation Mapping of Lung Nodules in Low-Dose CT images. CoRR abs/1810.12494 (2018) - [i19]Wenchao Du, Hu Chen, Peixi Liao, Hongyu Yang, Ge Wang
, Yi Zhang:
Visual Attention Network for Low Dose CT. CoRR abs/1810.13059 (2018) - [i18]Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Krüger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang
:
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? CoRR abs/1811.03691 (2018) - [i17]Fenglei Fan, Dayang Wang, Ge Wang:
Universal Approximation by a Slim Network with Sparse Shortcut Connections. CoRR abs/1811.09003 (2018) - [i16]Chenyu You, Linfeng Yang, Yi Zhang, Jan T. Liphardt, Ge Wang:
Low-Dose CT via Deep CNN with Skip Connection and Network in Network. CoRR abs/1811.10564 (2018) - 2017
- [j110]Lars Gjesteby
, Yan Xi
, Mannudeep K. Kalra, Qingsong Yang, Ge Wang
:
Hybrid Imaging System for Simultaneous Spiral MR and X-ray (MRX) Scans. IEEE Access 5: 1050-1061 (2017) - [j109]Weimin Han, Feixiao Long
, Wenxiang Cong, Xavier Intes, Ge Wang
:
Radiative transfer with delta-Eddington-type phase functions. Appl. Math. Comput. 300: 70-78 (2017) - [j108]Yanbo Zhang, Xuanqin Mou
, Ge Wang
, Hengyong Yu
:
Tensor-Based Dictionary Learning for Spectral CT Reconstruction. IEEE Trans. Medical Imaging 36(1): 142-154 (2017) - [j107]Ti Bai
, Hao Yan
, Xun Jia
, Steve B. Jiang, Ge Wang
, Xuanqin Mou
:
Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning. IEEE Trans. Medical Imaging 36(12): 2466-2478 (2017) - [j106]Hu Chen, Yi Zhang
, Mannudeep K. Kalra, Feng Lin
, Yang Chen
, Peixi Liao, Jiliu Zhou, Ge Wang
:
Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network. IEEE Trans. Medical Imaging 36(12): 2524-2535 (2017) - [j105]Jingfan Fan
, Jian Yang, Yitian Zhao, Danni Ai, Yonghuai Liu, Ge Wang
, Yongtian Wang:
Convex Hull Aided Registration Method (CHARM). IEEE Trans. Vis. Comput. Graph. 23(9): 2042-2055 (2017) - [c17]Hu Chen, Yi Zhang
, Weihua Zhang, Peixi Liao, Ke Li, Jiliu Zhou, Ge Wang
:
Low-dose CT denoising with convolutional neural network. ISBI 2017: 143-146 - [i15]Hu Chen, Yi Zhang, Mannudeep K. Kalra, Feng Lin, Peixi Liao, Jiliu Zhou, Ge Wang
:
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