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ORCIDGe 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
![[0000-0002-5170-5460]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5170-5460")
— 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:
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN). CoRR abs/1702.00288 (2017) - [i14]Qingsong Yang, Pingkun Yan, Mannudeep K. Kalra, Ge Wang:
CT Image Denoising with Perceptive Deep Neural Networks. CoRR abs/1702.07019 (2017) - [i13]Wenxiang Cong, Ge Wang, Qingsong Yang, Jiang Hsieh, Jia Li, Rongjie Lai:
CT Image Reconstruction in a Low Dimensional Manifold. CoRR abs/1704.04825 (2017) - [i12]Fenglei Fan, Wenxiang Cong,