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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.uni-trier.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
- 2025
[j183]Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah Al Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam Wang, Garry Evan Gold, Jang-Hwan Choi:
Low-dose computed tomography perceptual image quality assessment. Medical Image Anal. 99: 103343 (2025)- 2024
- [j182]Derek Abbott, Sonia Aissa, Anuradha Annaswamy, Nirwan Ansari, Jun Cai, Kun-Shan Chen, Yixin Chen, J.-C. Chiao, Ayman El-Baz, Shaikh Fattah, Hoay Gooi, Maya B. Gokhale, Chih-Lin I, Giuseppe Iannaccone, Yumi Iwashita, Bruce Jacob, Abbas Jamalipour, Bahram Javidi, Weihua Jiang, Okyay Kaynak, Hulya Kirkici, Germano Lambert-Torres, Shengtao Li, Michal Mrozowski, Michele Nappi, Dalma Novak, Hugo Proença, Yi Qian, Zhihua Qu, Susanto Rahardja, Mehrdad Saif, Ali Serpengüzel, Peter H. Siegel, Ashitey Trebi-Ollennu, Daniela Tuninetti, Ge Wang, Keith A. Wear, Andreas Weisshaar, C. Patrick Yue, Enrico Zio:
Editor-in-Chief. IEEE Access 12: i-xi (2024) - [j181]Guangtong Yang, Chen Li, Yudong Yao, Ge Wang, Yueyang Teng:
Quasi-supervised learning for super-resolution PET. Comput. Medical Imaging Graph. 113: 102351 (2024) - [j180]Ge Wang:
Diving into deep learning. Nat. Mac. Intell. 6(5): 502-503 (2024) - [j179]Weiwen Wu, Yanyang Wang, Qiegen Liu, Ge Wang, Jianjia Zhang:
Wavelet-Improved Score-Based Generative Model for Medical Imaging. IEEE Trans. Medical Imaging 43(3): 966-979 (2024) - [j178]Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan:
Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction. IEEE Trans. Medical Imaging 43(5): 1866-1879 (2024) - [j177]Zhihao Chen, Chuang Niu, Qi Gao, Ge Wang, Hongming Shan:
LIT-Former: Linking In-Plane and Through-Plane Transformers for Simultaneous CT Image Denoising and Deblurring. IEEE Trans. Medical Imaging 43(5): 1880-1894 (2024) - [j176]Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang:
Flipover outperforms dropout in deep learning. Vis. Comput. Ind. Biomed. Art 7(1): 4 (2024) - [j175]Christopher Wiedeman, Peter Lorraine, Ge Wang, Richard K. G. Do, Amber L. Simpson, Jacob J. Peoples, Bruno De Man:
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. Vis. Comput. Ind. Biomed. Art 7(1): 13 (2024) - [j174]Zhihao Chen, Bin Hu, Chuang Niu, Tao Chen, Yuxin Li, Hongming Shan, Ge Wang:
IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models. Vis. Comput. Ind. Biomed. Art 7(1): 20 (2024) - [j173]Dennis Hein, Staffan Holmin, Timothy Szczykutowicz, Jonathan S. Maltz, Mats Danielsson, Ge Wang, Mats Persson:
Noise suppression in photon-counting computed tomography using unsupervised Poisson flow generative models. Vis. Comput. Ind. Biomed. Art 7(1): 24 (2024) - [c44]Zefan Yang, Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Cardiovascular Disease Detection from Multi-view Chest X-Rays with BI-Mamba. MICCAI (5) 2024: 134-144 - [c43]Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Disease-Informed Adaptation of Vision-Language Models. MICCAI (11) 2024: 232-242 - [i97]Dennis Hein, Adam Wang, Ge Wang:
Poisson flow consistency models for low-dose CT image denoising. CoRR abs/2402.08159 (2024) - [i96]Zhihao Chen, Tao Chen, Chenhui Wang, Chuang Niu, Ge Wang, Hongming Shan:
Low-dose CT Denoising with Language-engaged Dual-space Alignment. CoRR abs/2403.06128 (2024) - [i95]Mengzhou Li, Chuang Niu, Ge Wang, Maya R. Amma, Krishna M. Chapagain, Stefan Gabrielson, Andrew Li, Kevin Jonker, Niels J. A. De Ruiter, Jennifer A. Clark, Phillip H. Butler, Anthony P. H. Butler, Hengyong Yu:
Deep Few-view High-resolution Photon-counting Extremity CT at Halved Dose for a Clinical Trial. CoRR abs/2403.12331 (2024) - [i94]Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Disease-informed Adaptation of Vision-Language Models. CoRR abs/2405.15728 (2024) - [i93]Zefan Yang, Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba. CoRR abs/2405.18533 (2024) - [i92]Xinrui Song, Jiajin Zhang, Pingkun Yan, Juergen Hahn, Uwe Kruger, Hisham Mohamed, Ge Wang:
Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT. CoRR abs/2407.05810 (2024) - [i91]Dennis Hein, Afshin Bozorgpour, Dorit Merhof, Ge Wang:
Physics-Inspired Generative Models in Medical Imaging: A Review. CoRR abs/2407.10856 (2024) - [i90]Chuang Niu, Christopher Wiedeman, Mengzhou Li, Jonathan S. Maltz, Ge Wang:
3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model. CoRR abs/2408.15283 (2024) - [i89]Fenglei Fan, Juntong Fan, Dayang Wang, Jingbo Zhang, Zelin Dong, Shijun Zhang, Ge Wang, Tieyong Zeng:
Hyper-Compression: Model Compression via Hyperfunction. CoRR abs/2409.00592 (2024) - [i88]Arjun Krishna, Ge Wang, Klaus Mueller:
Multi-Conditioned Denoising Diffusion Probabilistic Model (mDDPM) for Medical Image Synthesis. CoRR abs/2409.04670 (2024) - [i87]Chuang Niu, Parisa Kaviani, Qing Lyu, Mannudeep K. Kalra, Christopher T. Whitlow, Ge Wang:
Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model. CoRR abs/2409.18319 (2024) - 2023
- [j172]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) - [j171]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) - [j170]Joshua Goldwag, Ge Wang:
DishBrain plays Pong and promises more. Nat. Mac. Intell. 5(6): 568-569 (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) - [c42]Yile Fang, Yibing Zhang, Michael C. Lun, Jeffrey N. Anker, Ge Wang, Changqing Li:
Development of fast and three-dimensional focused x-ray luminescence tomography system. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c41]Yibing Zhang, Yile Fang, Vigjna Abbaraju, Sriparna Bhattacharya, Jeffrey N. Anker, Ge Wang, Changqing Li:
Oxygenation imaging in deep tissue with X-ray Luminescence Computed Tomography (XLCT). Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - [c40]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 - [c39]Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen:
Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction. MICCAI (10) 2023: 173-183 - [c38]Razi Mahmood, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Fact-Checking of AI-Generated Reports. MLMI@MICCAI (2) 2023: 214-223 - [i86]Soham Bhosale, Arjun Krishna, Ge Wang, Klaus Mueller:
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation. CoRR abs/2302.03285 (2023) - [i85]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) - [i84]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) - [i83]Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, 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) - [i82]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) - [i81]Chuang Niu, Ge Wang:
CT Multi-Task Learning with a Large Image-Text (LIT) Model. CoRR abs/2304.02649 (2023) - [i80]Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen:
Learned Alternating Minimization Algorithm for Dual-domain Sparse-View CT Reconstruction. CoRR abs/2306.02644 (2023) - [i79]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) - [i78]Razi Mahmood, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Fact-Checking of AI-Generated Reports. CoRR abs/2307.14634 (2023) - [i77]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) - [i76]Wenjun Xia, Yongyi Shi, Chuang Niu, Wenxiang Cong, Ge Wang:
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT. CoRR abs/2310.06949 (2023) - [i75]Dennis Hein, Staffan Holmin, Timothy Szczykutowicz, Jonathan S. Maltz, Mats Danielsson, Ge Wang, Mats Persson:
PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative models. CoRR abs/2312.09754 (2023) - [i74]Zhihao Chen, Bin Hu, Chuang Niu, Tao Chen, Yuxin Li, Hongming Shan, Ge Wang:
IQAGPT: Image Quality Assessment with Vision-language and ChatGPT Models. CoRR abs/2312.15663 (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) - [c37]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 - [c36]Yile Fang, Michael C. Lun, Yibing Zhang, Jeffrey N. Anker, Ge Wang, Changqing Li:
Super-fast three-dimensional focused x-ray luminescence computed tomography with a gated photon counter. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c35]Jiajin Zhang, Hanqing Chao, Giridhar Dasegowda, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Overlooked Trustworthiness of Saliency Maps. MICCAI (3) 2022: 451-461 - [c34]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) - [c33]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 - [c32]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 D. 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) - [c31]Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang:
GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. ECCV (25) 2020: 735-751 - [c30]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 - [c29]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 - [c28]Huidong Xie, Hongming Shan, Ge Wang:
3D Few-View CT Image Reconstruction with Deep Learning. ISBI Workshops 2020: 1-4 - [c27]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 - [c26]Hengtao Guo, Melanie Krüger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Multi-task learning for mortality prediction in LDCT images. Medical Imaging: Computer-Aided Diagnosis 2020 - [d6]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 1. Zenodo, 2020 [all versions]
- [d5]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 2. Zenodo, 2020 [all versions] - [d4]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 3. Zenodo, 2020 [all versions] - [d3]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 4. Zenodo, 2020 [all versions] - [d2]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 5. Zenodo, 2020 [all versions] - [d1]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction. Version 6. Zenodo, 2020 [all versions] - [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) - [c25]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 - [c24]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) - [c23]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, Ge Wang:
A New Type of Neurons for Machine Learning. CoRR abs/1704.08362 (2017) - [i11]Hu Chen, Yi Zhang, Weihua Zhang, Huaiqiang Sun, Peixi Liao, Kun He, Jiliu Zhou, Ge Wang:
Learned Experts' Assessment-based Reconstruction Network ("LEARN") for Sparse-data CT. CoRR abs/1707.09636 (2017) - [i10]Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Ge Wang:
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss. CoRR abs/1708.00961 (2017) - [i9]Fenglei Fan, Wenxiang Cong, Ge Wang:
General Backpropagation Algorithm for Training Second-order Neural Networks. CoRR abs/1708.06243 (2017) - 2016
- [j104]Ruben De Man, Ge Wang, Mannudeep K. Kalra, Alexi Otrakji, Scott S. Hsieh, Norbert J. Pelc:
Upper-Bound on Dose Reduction in CT Reconstruction for Nodule Detection. IEEE Access 4: 4247-4253 (2016) - [j103]Yan Xi, Yannan Jin, Bruno De Man, Ge Wang:
High-kVp Assisted Metal Artifact Reduction for X-Ray Computed Tomography. IEEE Access 4: 4769-4776 (2016) - [j102]Lars Gjesteby, Bruno De Man, Yannan Jin, Harald Paganetti, Joost Verburg, Drosoula Giantsoudi, Ge Wang:
Metal Artifact Reduction in CT: Where Are We After Four Decades? IEEE Access 4: 5826-5849 (2016) - [j101]Ge Wang:
A Perspective on Deep Imaging. IEEE Access 4: 8914-8924 (2016) - [j100]Jian Zhang, Hengyong Yu, Xiaohua Qian, Keqin Liu, Hua Tan, Tielin Yang, Maode Wang, King Chuen Li, Michael D. Chan, Waldemar Debinski, Anna Paulsson, Ge Wang, Xiaobo Zhou:
Pseudo progression identification of glioblastoma with dictionary learning. Comput. Biol. Medicine 73: 94-101 (2016) - [j99]Bo Meng, Wenxiang Cong, Yan Xi, Bruno De Man, Ge Wang:
Energy Window Optimization for X-Ray K-Edge Tomographic Imaging. IEEE Trans. Biomed. Eng. 63(8): 1623-1630 (2016) - [j98]Yi Zhang, Yan Xi, Qingsong Yang, Wenxiang Cong, Jiliu Zhou, Ge Wang:
Spectral CT Reconstruction With Image Sparsity and Spectral Mean. IEEE Trans. Computational Imaging 2(4): 510-523 (2016) - [i8]Ge Wang:
A Perspective on Deep Imaging. CoRR abs/1609.04375 (2016) - [i7]Hu Chen, Yi Zhang, Weihua Zhang, Peixi Liao, Ke Li, Jiliu Zhou, Ge Wang:
Low-dose CT denoising with convolutional neural network. CoRR abs/1610.00321 (2016) - [i6]Yang Liu, Fengrong Ou, Yan Deng, Bo Wu, Ruxi Liu, Hui Hua, Yuyuan Guan, Rentong Chen, Lars Gjesteby, Jiansheng Yang, Michael W. Vannier, Ge Wang:
Bibliometric Index for Academic Leadership. CoRR abs/1610.03706 (2016) - [i5]He Yang, Hengyong Yu, Ge Wang:
Deep Learning for the Classification of Lung Nodules. CoRR abs/1611.06651 (2016) - 2015
- [j97]Fugang Yang, Lingling Zhao, Wenxiang Cong, Ge Wang, Xavier Intes:
High-Resolution Mesoscopic Fluorescence Molecular Tomography Based on Compressive Sensing. IEEE Trans. Biomed. Eng. 62(1): 248-255 (2015) - [j96]Ge Wang, Anthony P. H. Butler, Hengyong Yu, Michael Campbell:
Guest Editorial Special Issue on Spectral CT. IEEE Trans. Medical Imaging 34(3): 693-696 (2015) - [j95]Liang Li, Zhiqiang Chen, Wenxiang Cong, Ge Wang:
Spectral CT Modeling and Reconstruction With Hybrid Detectors in Dynamic-Threshold-Based Counting and Integrating Modes. IEEE Trans. Medical Imaging 34(3): 716-728 (2015) - [c22]Yi Zhang, Yan Xi, Qingsong Yang, Wenxiang Cong, Jiliu Zhou, Ge Wang:
Spectral CT reconstruction using image sparsity and spectral correlation. ISBI 2015: 1600-1603 - 2014
- [j94]Hengyong Yu, Ge Wang:
Sart-Type Half-Threshold Filtering Approach for CT Reconstruction. IEEE Access 2: 602-613 (2014) - [j93]Wenxiang Cong, Yan Xi, Ge Wang:
X-Ray Fluorescence Computed Tomography With Polycapillary Focusing. IEEE Access 2: 1138-1142 (2014) - [j92]Guohua Cao, Baodong Liu, Hao Gong, Hengyong Yu, Ge Wang:
A Stationary-Sources and Rotating-Detectors Computed Tomography Architecture for Higher Temporal Resolution and Lower Radiation Dose. IEEE Access 2: 1263-1271 (2014) - [j91]Yang Lu, Jun Zhao, Ge Wang:
Edge-Guided Dual-Modality Image Reconstruction. IEEE Access 2: 1359-1363 (2014) - [j90]Vasile Bogdan Neculaes, Peter M. Edic, Mark Frontera, Antonio Caiafa, Ge Wang, Bruno De Man:
Multisource X-Ray and CT: Lessons Learned and Future Outlook. IEEE Access 2: 1568-1585 (2014) - [j89]Hengyong Yu, Xuanqin Mou, Ge Wang:
IEEE Access Special Section Editorial: Emerging Computed Tomography Technologies. IEEE Access 2: 1680-1682 (2014) - [j88]James Bennett, Alex M. T. Opie, Qiong Xu, Hengyong Yu, Michael F. Walsh, Anthony P. H. Butler, Phillip H. Butler, Guohua Cao, Aaron M. Mohs, Ge Wang:
Hybrid Spectral Micro-CT: System Design, Implementation, and Preliminary Results. IEEE Trans. Biomed. Eng. 61(2): 246-253 (2014) - [j87]Peng Feng, Wenxiang Cong, Biao Wei, Ge Wang:
Analytic Comparison Between X-Ray Fluorescence CT and K-Edge CT. IEEE Trans. Biomed. Eng. 61(3): 975-985 (2014) - [c21]Hao Gong, Chuang Miao, Hengyong Yu, Ge Wang, Guohua Cao:
Real phantom datasets for the evaluation of reconstruction algorithms at various dose conditions. ISBI 2014: 65-68 - [c20]Venkata R. Yelleswarapu, Fenglin Liu, Wenxiang Cong, Ge Wang:
TOP-level designs of a hybrid low field MRI-CT system for pulmonary imaging. ISBI 2014: 975-978 - [c19]Wenxiang Cong, Ge Wang:
X-ray fan-beam luminescence tomography. ISBI 2014: 1164-1167 - 2013
- [j86]Peng He, Biao Wei, Steve Wang, Stuart R. Stock, Hengyong Yu, Ge Wang:
Piecewise-Constant-Model-Based Interior Tomography Applied to Dentin Tubules. Comput. Math. Methods Medicine 2013: 892451:1-892451:8 (2013) - [j85]Jiansheng Yang, Michael W. Vannier, Fang Wang, Yan Deng, Fengrong Ou, James Bennett, Yang Liu, Ge Wang:
A bibliometric analysis of academic publication and NIH funding. J. Informetrics 7(2): 318-324 (2013) - [i4]Kun Tang, Qiwei Jin, Xin Zou, Jiansheng Yang, Michael W. Vannier, Ge Wang:
Academic Ranking with Web Mining and Axiomatic Analysis. CoRR abs/1301.1563 (2013) - [i3]Baodong Liu, Hengyong Yu, Scott S. Verbridge, Lizhi Sun, Ge Wang:
Dictionary-Learning-Based Reconstruction Method for Electron Tomography. CoRR abs/1311.5830 (2013) - 2012
- [j84]Qiong Xu, Hengyong Yu, James Bennett, Peng He, Rafidah Zainon, Robert Doesburg, Alex M. T. Opie, Mike Walsh, Haiou Shen, Anthony P. H. Butler, Phillip H. Butler, Xuanqin Mou, Ge Wang:
Image Reconstruction for Hybrid True-Color Micro-CT. IEEE Trans. Biomed. Eng. 59(6): 1711-1719 (2012) - [j83]Qiong Xu, Hengyong Yu, Xuanqin Mou, Lei Zhang, Jiang Hsieh, Ge Wang:
Low-Dose X-ray CT Reconstruction via Dictionary Learning. IEEE Trans. Medical Imaging 31(9): 1682-1697 (2012) - [j82]Xin Jin, Alexander Katsevich, Hengyong Yu, Ge Wang, Liang Li, Zhiqiang Chen:
Interior Tomography With Continuous Singular Value Decomposition. IEEE Trans. Medical Imaging 31(11): 2108-2119 (2012) - 2011
- [j81]Li Chen, Tsung-Han Chan, Peter L. Choyke, Elizabeth M. C. Hillman, Chong-Yung Chi, Zaver M. Bhujwalla, Ge Wang, Sean S. Wang, Zsolt Szabo, Yue Joseph Wang:
CAM-CM: a signal deconvolution tool for in vivo dynamic contrast-enhanced imaging of complex tissues. Bioinform. 27(18): 2607-2609 (2011) - [j80]Yuchuan Wei, Hengyong Yu, Ge Wang:
Inverse Fourier Transform in the Gamma Coordinate System. Int. J. Biomed. Imaging 2011: 285130:1-285130:16 (2011) - [j79]Zhiguo Wang, Yi Liu, Ge Wang, Lizhi Sun:
Nonlinear Elasto-Mammography for Characterization of Breast Tissue Properties. Int. J. Biomed. Imaging 2011: 540820:1-540820:10 (2011) - [j78]Hengyong Yu, Changguo Ji, Ge Wang:
SART-Type Image Reconstruction from Overlapped Projections. Int. J. Biomed. Imaging 2011: 549537:1-549537:7 (2011) - [j77]Jun Ni, Junjun Deng, Tao He, Hengyong Yu, Ge Wang:
Speedup performance analysis of parallel Katsevich algorithm for 3D CT image reconstruction. Int. J. Comput. Sci. Eng. 6(3): 151-159 (2011) - [j76]Weimin Han, Joseph A. Eichholz, Xiaoliang Cheng, Ge Wang:
A Theoretical Framework of X-Ray Dark-Field Tomography. SIAM J. Appl. Math. 71(5): 1557-1577 (2011) - [j75]Ge Wang, Yuchuan Wei:
On a Derivative-Free Fan-Beam Reconstruction Formula. IEEE Trans. Image Process. 20(4): 1173-1176 (2011) - [j74]Ge Wang, Yoram Bresler, Vasilis Ntziachristos:
Guest Editorial Compressive Sensing for Biomedical Imaging. IEEE Trans. Medical Imaging 30(5): 1013-1016 (2011) - [j73]Qiong Xu, Xuanqin Mou, Ge Wang, Jered Sieren, Eric A. Hoffman, Hengyong Yu:
Statistical Interior Tomography. IEEE Trans. Medical Imaging 30(5): 1116-1128 (2011) - [j72]Li Chen, Peter L. Choyke, Tsung-Han Chan, Chong-Yung Chi, Ge Wang, Yue Joseph Wang:
Tissue-Specific Compartmental Analysis for Dynamic Contrast-Enhanced MR Imaging of Complex Tumors. IEEE Trans. Medical Imaging 30(12): 2044-2058 (2011) - [i2]Ge Wang, Jie Zhang, Hao Gao, Victor Weir, Hengyong Yu, Wenxiang Cong, Xiaochen Xu, Haiou Shen, James Bennett, Yue Joseph Wang, Michael W. Vannier:
Omni-tomography/Multi-tomography -- Integrating Multiple Modalities for Simultaneous Imaging. CoRR abs/1106.2124 (2011) - 2010
- [j71]Lin Yang, Yang Lu, Ge Wang:
Compressed Sensing Inspired Image Reconstruction from Overlapped Projections. Int. J. Biomed. Imaging 2010: 284073:1-284073:8 (2010) - [j70]Hengyong Yu, Ge Wang:
SART-Type Image Reconstruction from a Limited Number of Projections with the Sparsity Constraint. Int. J. Biomed. Imaging 2010: 934847:1-934847:9 (2010) - [j69]Rongfang Gong, Ge Wang, Xiaoliang Cheng, Weimin Han:
A novel approach for studies of multispectral bioluminescence tomography. Numerische Mathematik 115(4): 553-583 (2010) - [j68]Alexander X. Cong, Wenxiang Cong, Yujie Lu, Peter Santago II, Arion Chatziioannou, Ge Wang:
Differential Evolution Approach for Regularized Bioluminescence Tomography. IEEE Trans. Biomed. Eng. 57(9): 2229-2238 (2010) - [j67]Yang Lu, Alexander Katsevich, Jun Zhao, Hengyong Yu, Ge Wang:
Fast Exact/Quasi-Exact FBP Algorithms for Triple-Source Helical Cone-Beam CT. IEEE Trans. Medical Imaging 29(3): 756-770 (2010) - [c18]Zhijun Cai, Er-Wei Bai, Ge Wang:
Adaptive bolus chasing Computed Tomography Angiography: Modeling, identification, control and experimental results. CDC 2010: 3397-3402 - [i1]Ge Wang, Jiansheng Yang:
Axiomatic Quantification of Co-authors' Relative Contributions. CoRR abs/1003.3362 (2010)
2000 – 2009
- 2009
- [j66]Zhijun Cai, Ge Wang, Er-Wei Bai:
Adaptive bolus-chasing computed tomography angiography in the cases of symmetric and asymmetric arterial flows in peripheral arteries. Biomed. Signal Process. Control. 4(4): 302-308 (2009) - [j65]Weimin Han, Hengyong Yu, Ge Wang:
A General Total Variation Minimization Theorem for Compressed Sensing Based Interior Tomography. Int. J. Biomed. Imaging 2009: 125871:1-125871:3 (2009) - [j64]Z. G. Wang, Yi Liu, Ge Wang, Lizhi Sun:
Elastography Method for Reconstruction of Nonlinear Breast Tissue Properties. Int. J. Biomed. Imaging 2009: 406854:1-406854:9 (2009) - [j63]Yong Li Xu, Xiangyu Wei, Ge Wang:
Temperature-Change-Based Thermal Tomography. Int. J. Biomed. Imaging 2009: 464235:1-464235:4 (2009) - [j62]Deepak Bharkhada, Hengyong Yu, Hong Liu, Robert J. Plemmons, Ge Wang:
Line-Source Based X-Ray Tomography. Int. J. Biomed. Imaging 2009: 534516:1-534516:8 (2009) - [j61]Ge Wang, Wenxiang Cong, Haiou Shen, Yu Zou:
Varying Collimation for Dark-Field Extraction. Int. J. Biomed. Imaging 2009: 847537:1-847537:7 (2009) - [j60]Junjun Deng, Hengyong Yu, Jun Ni, Lihe Wang, Ge Wang:
Parallelism of iterative CT reconstruction based on local reconstruction algorithm. J. Supercomput. 48(1): 1-14 (2009) - [j59]Jun Zhao, Yannan Jin, Yang Lu, Ge Wang:
A Filtered Backprojection Algorithm for Triple-Source Helical Cone-Beam CT. IEEE Trans. Medical Imaging 28(3): 384-393 (2009) - [c17]Alexander X. Cong, Yujie Lu, Wenxiang Cong, Haiou Shen, Arion Chatziioannou, Ge Wang:
Optical Property Characterization Based on a Phase Function Approximation Model. ISBI 2009: 446-449 - 2008
- [j58]Zhijun Cai, Colbin Erdahl, Kai Zeng, Tom Potts, Melhem Sharafuddin, Osama Saba, Ge Wang, Er-Wei Bai:
Adaptive bolus chasing computed tomography angiography: Control scheme and experimental results. Biomed. Signal Process. Control. 3(4): 319-326 (2008) - [j57]Jiehua Zhu, Xiezhang Li, Yangbo Ye, Ge Wang:
Analysis on the strip-based projection model for discrete tomography. Discret. Appl. Math. 156(12): 2359-2367 (2008) - [j56]Yangbo Ye, Hengyong Yu, Ge Wang:
Exact Interior Reconstruction from Truncated Limited-Angle Projection Data. Int. J. Biomed. Imaging 2008: 427989:1-427989:6 (2008) - [j55]Jun Zhao, Liji Cao, Tiange Zhuang, Ge Wang:
Digital Eversion of a Hollow Structure: An Application in Virtual Colonography. Int. J. Biomed. Imaging 2008: 763028:1-763028:6 (2008) - [j54]Ming Jiang, Christopher L. Wyatt, Ge Wang:
X-Ray Phase-Contrast Imaging with Three 2D Gratings. Int. J. Biomed. Imaging 2008: 827152:1-827152:8 (2008) - [j53]Yunbo Li, Haiou Shen, Hong Zhu, Michael A. Trush, Ming Jiang, Ge Wang:
In Situ Real-Time Chemiluminescence Imaging of Reactive Oxygen Species Formation from Cardiomyocytes. Int. J. Biomed. Imaging 2008: 941729:1-941729:9 (2008) - [j52]Hengyong Yu, Ge Wang:
A general scheme for velocity tomography. Signal Process. 88(5): 1165-1175 (2008) - [j51]Er-Wei Bai, Zhijun Cai, Robert J. McCabe, Ge Wang:
An Adaptive Optimal Control Design for a Bolus Chasing Computed Tomography Angiography. IEEE Trans. Control. Syst. Technol. 16(1): 60-69 (2008) - [c16]Li Chen, Tsung-Han Chan, Peter L. Choyke, Chong-Yung Chi, Ge Wang, Yue Joseph Wang:
Convex analysis and separation of composite signals in DCE-MRI. ISBI 2008: 1557-1560 - 2007
- [j50]Yangbo Ye, Hengyong Yu, Ge Wang:
Exact Interior Reconstruction with Cone-Beam CT. Int. J. Biomed. Imaging 2007: 10693:1-10693:5 (2007) - [j49]Kai Zeng, Er-Wei Bai, Ge Wang:
A Fast CT Reconstruction Scheme for a General Multi-Core PC. Int. J. Biomed. Imaging 2007: 29160:1-29160:9 (2007) - [j48]Alexander X. Cong, Haiou Shen, Wenxiang Cong, Ge Wang:
Improving the Accuracy of the Diffusion Model in Highly Absorbing Media. Int. J. Biomed. Imaging 2007: 38168:1-38168:6 (2007) - [j47]Yangbo Ye, Hengyong Yu, Yuchuan Wei, Ge Wang:
A General Local Reconstruction Approach Based on a Truncated Hilbert Transform. Int. J. Biomed. Imaging 2007: 63634:1-63634:8 (2007) - [j46]Yujie Lu, Jie Tian, Wenxiang Cong, Ge Wang:
Experimental Study on Bioluminescence Tomography with Multimodality Fusion. Int. J. Biomed. Imaging 2007: 86741:1-86741:4 (2007) - [j45]Hengyong Yu, Ge Wang:
Cone-Beam Composite-Circling Scan and Exact Image Reconstruction for a Quasi-Short Object. Int. J. Biomed. Imaging 2007: 87319:1-87319:10 (2007) - [j44]Hengyong Yu, Ge Wang:
A General Formula for Fan-Beam Lambda Tomography. Int. J. Biomed. Imaging 2007: 95295:1 (2007) - [j43]Zhijun Cai, Robert J. McCabe, Ge Wang, Er-Wei Bai:
Bolus chasing computed tomography angiography using local maximum tracking method. Int. J. Model. Identif. Control. 2(4): 305-312 (2007) - [j42]Deepak Bharkhada, Hengyong Yu, Kai Zeng, Er-Wei Bai, Ge Wang:
A comparative study on interpolation methods for controlled cardiac CT. Int. J. Imaging Syst. Technol. 17(2): 91-98 (2007) - [j41]Hengyong Yu, Ge Wang:
Data Consistency Based Rigid Motion Artifact Reduction in Fan-Beam CT. IEEE Trans. Medical Imaging 26(2): 249-260 (2007) - [c15]Yujie Lu, Jie Tian, Wei Yang, Chenghu Qin, Wenxiang Cong, Ge Wang:
A Multi-Scale Method for Bioluminescence Tomography Using Multiple Types of A Priori Information. ISBI 2007: 816-819 - 2006
- [j40]Hengyong Yu, Ge Wang:
A General Formula for Fan-Beam Lambda Tomography. Int. J. Biomed. Imaging 2006: 10427:1-10427:9 (2006) - [j39]Er-Wei Bai, Chenglin Wang, Ying Liu, Ge Wang:
Controlled Cardiac Computed Tomography. Int. J. Biomed. Imaging 2006: 12819:1-12819:11 (2006) - [j38]Hengyong Yu, Yangbo Ye, Shiying Zhao, Ge Wang:
Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves. Int. J. Biomed. Imaging 2006: 14989:1-14989:7 (2006) - [j37]Yi Liu, Ge Wang, Lizhi Sun:
Anisotropic Elastography for Local Passive Properties and Active Contractility of Myocardium from Dynamic Heart Imaging Sequence. Int. J. Biomed. Imaging 2006: 45957:1-45957:15 (2006) - [j36]Z. G. Wang, Yi Liu, Lizhi Sun, Ge Wang, Laurie Lee Fajardo:
Elasto-mammography: Theory, Algorithm, and Phantom Study. Int. J. Biomed. Imaging 2006: 53050:1-53050:11 (2006) - [j35]Weimin Han, Wenxiang Cong, Ge Wang:
Mathematical Study and Numerical Simulation of Multispectral Bioluminescence Tomography. Int. J. Biomed. Imaging 2006: 54390:1-54390:10 (2006) - [j34]Alexander X. Cong, Ge Wang:
Multispectral Bioluminescence Tomography: Methodology and Simulation. Int. J. Biomed. Imaging 2006: 57614:1-57614:7 (2006) - [j33]Ge Wang, Haiou Shen, Kumar Durairaj, Xin Qian, Wenxiang Cong:
The First Bioluminescence Tomography System for Simultaneous Acquisition of Multiview and Multispectral Data. Int. J. Biomed. Imaging 2006: 58601:1-58601:8 (2006) - [j32]Ge Wang:
Message from the Editor-in-Chief. Int. J. Biomed. Imaging 2006: 81409:1-81409:2 (2006) - [j31]Yuhui Sun, Peiru Wu, Gang W. Wei, Ge Wang:
Evolution-Operator-Based Single-Step Method for Image Processing. Int. J. Biomed. Imaging 2006: 83847:1-83847:27 (2006) - [j30]Yuchuan Wei, Hengyong Yu, Ge Wang:
Integral Invariants for Computed Tomography. IEEE Signal Process. Lett. 13(9): 549-552 (2006) - [j29]Junjun Deng, Hengyong Yu, Jun Ni, Tao He, Shiying Zhao, Lihe Wang, Ge Wang:
A Parallel Implementation of the Katsevich Algorithm for 3-D CT Image Reconstruction. J. Supercomput. 38(1): 35-47 (2006) - [j28]Hengyong Yu, Yuchuan Wei, Jiang Hsieh, Ge Wang:
Data consistency based translational motion artifact reduction in fan-beam CT. IEEE Trans. Medical Imaging 25(6): 792-803 (2006) - [c14]Yujie Lv, Jie Tian, Wenxiang Cong, Ge Wang, Kumar Durairaj:
MicroCT-guided Bioluminescence Tomography Based on the Adaptive Finite Element Tomographic Algorithm. EMBC 2006: 381-384 - [c13]Jun Ni, Junjun Deng, Hengyong Yu, Tao He, Ge Wang:
Analysis of Performance Evaluation of Parallel Katsevich Algorithm for 3-D CT Image Reconstruction. IMSCCS (1) 2006: 258-265 - [c12]Tao He, Jun Ni, Ge Wang:
A Heterogeneous Windows Cluster System for Medical Image Reconstruction. IMSCCS (1) 2006: 410-415 - [c11]Tao He, Jun Ni, Junjun Deng, Hengyong Yu, Ge Wang:
Deployment of One-Sided Communication Technique for Parallel Computing in Katsevich CT Image Reconstruction. IMSCCS (1) 2006: 416-423 - [c10]Ge Wang, Wenxiang Cong, Yi Li, Weimin Han, Durai Kumar, Xin Qian, Haiou Shen:
Recent development in bioluminescence tomography. ISBI 2006: 678-681 - 2005
- [j27]Yuchuan Wei, Ge Wang, Jiang Hsieh:
Relation Between the Filtered Backprojection Algorithm and the Backprojection Algorithm in CT. IEEE Signal Process. Lett. 12(9): 633-636 (2005) - [j26]Yangbo Ye, Shiying Zhao, Hengyong Yu, Ge Wang:
A general exact reconstruction for cone-beam CT via backprojection-filtration. IEEE Trans. Medical Imaging 24(9): 1190-1198 (2005) - [j25]Yi Liu, Lizhi Sun, Ge Wang:
Tomography-based 3-D anisotropic elastography using boundary measurements. IEEE Trans. Medical Imaging 24(10): 1323-1333 (2005) - [c9]Jun Ni, Tao He, Ge Wang, Shaowen Wang, Boyd M. Knosp:
Scenario of Application Layers for Grid-Enhanced International Digital Library in Medical Imaging. GCA 2005: 196-202 - [c8]Alexander X. Cong, Yi Liu, Durai Kumar, Wenxiang Cong, Ge Wang:
Geometrical modeling using multiregional marching tetrahedra for bioluminescence tomography. Medical Imaging: Image-Guided Procedures 2005 - [c7]Kumar Durairaj, Wenxiang Cong, Jacqueline Thiesse, Earl Nixon, John Meinel, Alexander X. Cong, Geoffrey McLennan, Eric A. Hoffman, Jiang Ming, Ge Wang:
Image-guided simulation for bioluminescence tomographic imaging. Medical Imaging: Image-Guided Procedures 2005 - 2004
- [j24]Sun K. Yoo, Ge Wang, Fred Collison, Jay T. Rubinstein, Michael W. Vannier, Hee J. Kim, Nam H. Kim:
Three-dimensional localization of cochlear implant electrodes using epipolar stereophotogrammetry. IEEE Trans. Biomed. Eng. 51(5): 838-846 (2004) - [j23]H. M. Yin, Lizhi Sun, Ge Wang, Michael W. Vannier:
Modeling of elastic modulus evolution of cirrhotic human liver. IEEE Trans. Biomed. Eng. 51(10): 1854-1857 (2004) - [c6]Jun Ni, Tao He, Xiang Li, Shaowen Wang, Ge Wang:
EM Medical Image Reconstruction in a Peer-to-Peer Systems. GCC 2004: 495-501 - [c5]Xiang Li, Tao He, Shaowen Wang, Ge Wang, Jun Ni:
P2P-enhanced Distributed Computing in EM Medical Image Reconstruction. PDPTA 2004: 822-828 - 2003
- [j22]Ming Jiang, Ge Wang:
Convergence of the simultaneous algebraic reconstruction technique (SART). IEEE Trans. Image Process. 12(8): 957-961 (2003) - [j21]Ming Jiang, Ge Wang:
Convergence Studies on Iterative Algorithms for Image Reconstruction. IEEE Trans. Medical Imaging 22(5): 569-579 (2003) - [j20]Ming Jiang, Ge Wang, Margaret W. Skinner, Jay T. Rubinstein, Michael W. Vannier:
Blind Deblurring of Spiral CT Images. IEEE Trans. Medical Imaging 22(7): 837-845 (2003) - 2002
- [j19]Joseph A. O'Sullivan, Ming Jiang, Xiao-Ming Ma, Ge Wang:
Axiomatic quantification of multidimensional image resolution. IEEE Signal Process. Lett. 9(4): 120-122 (2002) - [c4]Ge Wang, Ming Jiang, Seung Wook Lee, Hong Liu, Eric A. Hoffman:
Cone-beam reconstruction for Micro-CT. ISBI 2002: 384-387 - [c3]Ming Jiang, Ge Wang:
Convergence of iterative algorithms for image reconstruction. ISBI 2002: 685-688 - 2001
- [j18]Sun K. Yoo, Ge Wang, Jay T. Rubinstein, Michael W. Vannier:
Semiautomatic Segmentation of the Cochlea Using Real-Time Volume Rendering and Regional Adaptive Snake Modeling. J. Digit. Imaging 14(4): 173-181 (2001) - [j17]Michael W. Vannier, Ge Wang:
Book Reviews, NIBIB, and IOM Breast Cancer Report. IEEE Trans. Medical Imaging 20(3): 145-146 (2001) - 2000
- [j16]Ge Wang, Margaret W. Skinner, Jay T. Rubinstein, Matthew A. Howard III, Michael W. Vannier:
Digital X-ray stereophotogrammetry for cochlear implantation. IEEE Trans. Biomed. Eng. 47(8): 1120-1130 (2000) - [j15]Sun K. Yoo, Ge Wang, Jay T. Rubinstein, Michael W. Vannier:
Three-dimensional geometric modeling of the cochlea using helico-spiral approximation. IEEE Trans. Biomed. Eng. 47(10): 1392-1402 (2000) - [j14]Sun K. Yoo, Ge Wang, Jay T. Rubinstein, Margaret W. Skinner, Michael W. Vannier:
Three-dimensional modeling and visualization of the cochlea on the Internet. IEEE Trans. Inf. Technol. Biomed. 4(2): 144-151 (2000) - [j13]Ge Wang, Carl R. Crawford, Willi A. Kalender:
Guest Editorial - Multirow Detector and Cone-Beam Spiral/Helical CT. IEEE Trans. Medical Imaging 19(9): 817-821 (2000) - [j12]Shiying Zhao, Ge Wang:
Feldkamp-Type Cone-Beam Tomography in the Wavelet Framework. IEEE Trans. Medical Imaging 19(9): 922-929 (2000) - [j11]Shiying Zhao, Douglas D. Robertson, Ge Wang, Bruce R. Whiting, Kyongtae T. Bae:
X-ray CT Metal Artifact Reduction Using Wavelets: An Application for Imaging Total Hipt Prostheses. IEEE Trans. Medical Imaging 19(12): 1238-1247 (2000) - [c2]SunKook Yoo, Ge Wang, Jay T. Rubinstein, Michael W. Vannier:
Three-dimensional geometric modeling of the cochlea. Medical Imaging: Image Processing 2000
1990 – 1999
- 1999
- [j10]Ge Wang, Yi Li:
Axiomatic approach for quantification of image resolution. IEEE Signal Process. Lett. 6(10): 257-258 (1999) - [j9]Ge Wang, Weimin Han:
Minimum error bound of signal reconstruction. IEEE Signal Process. Lett. 6(12): 309-311 (1999) - 1998
- [j8]Ge Wang, Michael W. Vannier, Margaret W. Skinner, Marcelo G. P. Cavalcanti, Gary W. Harding:
Spiral CT Image Deblurring for Cochlear Implantation. IEEE Trans. Medical Imaging 17(2): 251-273 (1998) - [j7]Ge Wang, Elizabeth G. McFarland, Bruce P. Brown, Michael W. Vannier:
GT Tract Unraveling with Curved Cross-Sections. IEEE Trans. Medical Imaging 17(2): 318-322 (1998) - [j6]Ge Wang, G. Schweiger, Michael W. Vannier:
An iterative algorithm for X-ray CT fluoroscopy. IEEE Trans. Medical Imaging 17(5): 853-856 (1998) - 1997
- [j5]Ge Wang, Grant V. Welland, Shiying Zhao:
Wavelet Sampling and Localization Schemes for the Radon Transform in Two Dimensions. SIAM J. Appl. Math. 57(6): 1749-1762 (1997) - 1996
- [j4]Ge Wang, Donald L. Snyder, Joseph A. O'Sullivan, Michael W. Vannier:
Iterative deblurring for CT metal artifact reduction. IEEE Trans. Medical Imaging 15(5): 657-664 (1996) - [c1]Ge Wang, Michael W. Vannier, Elizabeth G. McFarland, Jay P. Heiken, James A. Brink:
GI Tract Unraveling in Volumetric CT. VBC 1996: 3-12 - 1995
- [j3]Ge Wang, Michael W. Vannier:
Preliminary study on helical CT algorithms for patient motion estimation and compensation. IEEE Trans. Medical Imaging 14(2): 205-211 (1995) - 1993
- [j2]Ge Wang, Tein-Hsiang Lin, Ping-chin Cheng:
A derivative-free noncircular fan-beam reconstruction formula. IEEE Trans. Image Process. 2(4): 543-547 (1993) - [j1]Ge Wang, Tein-Hsiang Lin, Ping-chin Cheng, Douglus M. Shinozaki:
A general cone-beam reconstruction algorithm. IEEE Trans. Medical Imaging 12(3): 486-496 (1993)
Coauthor Index
[j166] [i82] [i76] [j159] [j158] [i61] [j148] [i50] [j142] [j141] [j133] [j129] [d6] [d5] [d4] [d3] [d2] [d1] [i43] [i41] [i36] [i32] [i29] [j117] [j112] [j111] [i26] [i25] [i22] [j109] [i13] [i12] [i9] [j99] [j98] [j97] [j95] [c22] [j93] [j87] [c20] [c19] [i2] [j68] [j61] [c17] [j48] [j46] [c15] [j35] [j33] [c14] [c10] [c8] [c7]
Fenglei Fan
aka: Feng-Lei Fan
aka: Feng-Lei Fan
[j178] [j177] [j176] [j174] [i96] [i95] [i90] [i87] [j167] [j165] [j164] [i85] [i84] [i83] [i82] [i81] [i76] [i74] [j161] [j159] [j158] [j153] [i72] [i71] [i69] [i68] [i66] [i64] [j147] [j144] [c32] [i60] [i59] [i58] [i57] [i56] [i50] [i49] [j141] [c31] [d6] [d5] [d4] [d3] [d2] [d1] [i46] [i43] [i41] [i39]
[j178] [j177] [j174] [i96] [j172] [j169] [i84] [i74] [j159] [j158] [j153] [i72] [i70] [i64] [j146] [i51] [j142] [j137] [j136] [j132] [j129] [j128] [j127] [c30] [c29] [c28] [d6] [d5] [d4] [d3] [d2] [d1] [i45] [i43] [i41] [i40] [j124] [j122] [i38] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [j117] [j112] [j111] [i27] [i26] [i25] [i20] [i18]
Varut Vardhanabhuti
aka: Vince Vardhanabhuti
aka: Vince Vardhanabhuti
[i95] [j159] [j158] [j154] [j144] [i56] [d6] [d5] [d4] [d3] [d2] [d1] [i41] [j119] [c24] [p1] [j113] [j108] [i10] [j100] [i5] [j96] [j94] [j92] [j89] [j88] [c21] [j86] [i3] [j84] [j83] [j82] [j80] [j78] [j77] [j73] [i2] [j70] [j67] [j65] [j62] [j60] [j56] [j52] [j50] [j47] [j45] [j44] [j42] [j41] [j40] [j38] [j30] [j29] [j28] [c13] [c11] [j26]
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