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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
- 2023
[j171]Hongming Shan, Rodrigo de Barros Vimieiro, Lucas R. 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. Artif. Intell. Medicine 142: 102555 (2023)- [j170]Fenglei Fan, Rongjie Lai, Ge Wang:
Quasi-Equivalence between Width and Depth of Neural Networks. J. Mach. Learn. Res. 24: 183:1-183:22 (2023) - [j169]Wenjun Xia, Hongming Shan, Ge Wang, Yi Zhang:
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey. IEEE Signal Process. Mag. 40(2): 89-100 (2023) - [j168]Huidong Xie, Zhao Liu, Luyao Shi, Kathleen Greco, Xiongchao Chen, Bo Zhou, Attila Feher, John C. Stendahl, Nabil Boutagy, Tassos C. Kyriakides, Ge Wang, Albert J. Sinusas, Chi Liu:
Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network. IEEE Trans. Medical Imaging 42(5): 1325-1336 (2023) - [j167]Chuang Niu, Mengzhou Li, Fenglei Fan, Weiwen Wu, Xiaodong Guo, Qing Lyu, Ge Wang:
Noise Suppression With Similarity-Based Self-Supervised Deep Learning. IEEE Trans. Medical Imaging 42(6): 1590-1602 (2023) - [j166]Qingsong Yang, Donna L. Lizotte, Wenxiang Cong, Ge Wang:
Preliminary landscape analysis of deep tomographic imaging patents. Vis. Comput. Ind. Biomed. Art 6(1): 3 (2023) - [j165]Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow:
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. Vis. Comput. Ind. Biomed. Art 6(1): 9 (2023) - [j164]Chuang Niu, Ge Wang:
Editorial: advances in deep learning techniques for biomedical imaging. Vis. Comput. Ind. Biomed. Art 6(1): 12 (2023) - [c37]Huidong Xie, Bo Zhou, Xiongchao Chen, Xueqi Guo, Stephanie Thorn, Yi-Hwa Liu, Ge Wang, Albert J. Sinusas, Chi Liu:
Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT Image Reconstructions. MICCAI (10) 2023: 163-172 - [c36]Razi Mahmood, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Fact-Checking of AI-Generated Reports. MLMI@MICCAI (2) 2023: 214-223 - [i83]Soham Bhosale, Arjun Krishna, Ge Wang, Klaus Mueller:
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation. CoRR abs/2302.03285 (2023) - [i82]Yuhui Ruan, Qiao Yuan, Chuang Niu, Chen Li, Yudong Yao, Ge Wang, Yueyang Teng:
QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data. CoRR abs/2302.03916 (2023) - [i81]Zhihao Chen, Chuang Niu, Ge Wang, Hongming Shan:
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring. CoRR abs/2302.10630 (2023) - [i80]Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapuram, Chuang Niu, Ge Wang, Kyle J. Myers, Christopher T. Whitlow:
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. CoRR abs/2303.09038 (2023) - [i79]Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang:
Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data. CoRR abs/2303.12861 (2023) - [i78]Chuang Niu, Ge Wang:
CT Multi-Task Learning with a Large Image-Text (LIT) Model. CoRR abs/2304.02649 (2023) - [i77]Huidong Xie, Bo Zhou, Xiongchao Chen, Xueqi Guo, Stephanie Thorn, Yi-Hwa Liu, Ge Wang, Albert J. Sinusas, Chi Liu:
Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions. CoRR abs/2307.09624 (2023) - [i76]Razi Mahmood, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Fact-Checking of AI-Generated Reports. CoRR abs/2307.14634 (2023) - [i75]Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou:
Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator. CoRR abs/2310.03118 (2023) - [i74]Wenjun Xia, Yongyi Shi, Chuang Niu, Wenxiang Cong, Ge Wang:
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT. CoRR abs/2310.06949 (2023) - 2022
- [j163]Yuting Peng, Mengzhou Li, Jace Grandinetti, Ge Wang, Xun Jia:
Top-Level Design and Simulated Performance of the First Portable CT-MR Scanner. IEEE Access 10: 102325-102333 (2022) - [j162]Xinrui Song, Hanqing Chao, Xuanang Xu, Hengtao Guo, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Ge Wang, Pingkun Yan:
Cross-modal attention for multi-modal image registration. Medical Image Anal. 82: 102612 (2022) - [j161]Ge Wang, Andreu Badal, Xun Jia, Jonathan S. Maltz, Klaus Mueller, Kyle J. Myers, Chuang Niu, Michael W. Vannier, Pingkun Yan, Zhou Yu, Rongping Zeng:
Development of metaverse for intelligent healthcare. Nat. Mac. Intell. 4(11): 922-929 (2022) - [j160]Christopher Wiedeman, Ge Wang:
Disrupting adversarial transferability in deep neural networks. Patterns 3(5): 100472 (2022) - [j159]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. Patterns 3(5): 100474 (2022) - [j158]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. Patterns 3(5): 100475 (2022) - [j157]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. Patterns 3(11): 100613 (2022) - [j156]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) - [j155]Haoyuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Mamunur Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek:
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection. Pattern Recognit. 130: 108827 (2022) - [j154]Feng-Lei Fan, Dayang Wang, Hengtao Guo, Qikui Zhu, Pingkun Yan, Ge Wang, Hengyong Yu:
On a Sparse Shortcut Topology of Artificial Neural Networks. IEEE Trans. Artif. Intell. 3(4): 595-608 (2022) - [j153]Chuang Niu, Hongming Shan, Ge Wang:
SPICE: Semantic Pseudo-Labeling for Image Clustering. IEEE Trans. Image Process. 31: 7264-7278 (2022) - [j152]Tianrui Qi, Ge Wang:
Superiority of quadratic over conventional neural networks for classification of gaussian mixture data. Vis. Comput. Ind. Biomed. Art 5(1): 23 (2022) - [j151]Jed D. Pack, Mufeng Xu, Ge Wang, Lohendran Baskaran, James Min, Bruno De Man:
Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions. Vis. Comput. Ind. Biomed. Art 5(1): 29 (2022) - [c35]Jun Zhao, Blanche Duron, Ge Wang:
KOALA Hero: Inform Children of Privacy Risks of Mobile Apps. IDC 2022: 523-528 - [c34]Yanling Bu, Lei Xie, Jia Liu, Chuyu Wang, Ge Wang, Zenglong Wang, Sanglu Lu:
Pinpoint Achilles' Heel in RFID Localization: Phase Calibration of RFID Antenna based on Linear Localization Model. ICDCS 2022: 798-808 - [c33]Jiajin Zhang, Hanqing Chao, Giridhar Dasegowda, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Overlooked Trustworthiness of Saliency Maps. MICCAI (3) 2022: 451-461 - [c32]Xinrui Song, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Transformed Grid Distance Loss for Supervised Image Registration. WBIR 2022: 177-181 - [i73]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) - [i72]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) - [i71]Chuang Niu, Giridhar Dasegowda, Pingkun Yan, Mannudeep K. Kalra, Ge Wang:
X-ray Dissectography Improves Lung Nodule Detection. CoRR abs/2203.13118 (2022) - [i70]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) - [i69]Chuang Niu, Ge Wang:
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection. CoRR abs/2205.00122 (2022) - [i68]Chuang Niu, Ge Wang:
Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC). CoRR abs/2206.06461 (2022) - [i67]Huidong Xie, Zhao Liu, Luyao Shi, Kathleen Greco, Xiongchao Chen, Bo Zhou, Attila Feher, John C. Stendahl, Nabil Boutagy, Tassos C. Kyriakides, Ge Wang, Albert J. Sinusas, Chi Liu:
Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network. CoRR abs/2206.12344 (2022) - [i66]Chuang Niu, Ge Wang:
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning. CoRR abs/2207.07743 (2022) - [i65]Christopher Wiedeman, Ge Wang:
Decorrelative Network Architecture for Robust Electrocardiogram Classification. CoRR abs/2207.09031 (2022) - [i64]Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan:
FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction. CoRR abs/2207.11678 (2022) - [i63]Qing Lyu, Ge Wang:
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models. CoRR abs/2209.12104 (2022) - [i62]Wenjun Xia, Qing Lyu, Ge Wang:
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup. CoRR abs/2209.15136 (2022) - [i61]Wenjun Xia, Wenxiang Cong, Ge Wang:
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction. CoRR abs/2211.10388 (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) - [c31]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 - [c30]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) - [c29]Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang:
GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. ECCV (25) 2020: 735-751 - [c28]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 - [c27]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 - [c26]Huidong Xie, Hongming Shan, Ge Wang:
3D Few-View CT Image Reconstruction with Deep Learning. ISBI Workshops 2020: 1-4 - [c25]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]