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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
- 2025
[j187]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
- [j186]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) - [j185]Guangtong Yang, Chen Li, Yudong Yao, Ge Wang, Yueyang Teng:
Quasi-supervised learning for super-resolution PET. Comput. Medical Imaging Graph. 113: 102351 (2024) - [j184]Ge Wang:
Diving into deep learning. Nat. Mac. Intell. 6(5): 502-503 (2024) - [j183]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) - [j182]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) - [j181]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) - [j180]Dong Liang, Daniel Rueckert, Ge Wang, Tolga Çukur, Hengyong Yu:
Editorial. IEEE Trans. Medical Imaging 43(10): 3393-3397 (2024) - [j179]Grigorios M. Karageorgos, Jiayong Zhang, Nils Peters, Wenjun Xia, Chuang Niu, Harald Paganetti, Ge Wang, Bruno De Man:
A Denoising Diffusion Probabilistic Model for Metal Artifact Reduction in CT. IEEE Trans. Medical Imaging 43(10): 3521-3532 (2024) - [j178]Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou:
Blind CT Image Quality Assessment Using DDPM-Derived Content and Transformer-Based Evaluator. IEEE Trans. Medical Imaging 43(10): 3559-3569 (2024) - [j177]Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang:
Flipover outperforms dropout in deep learning. Vis. Comput. Ind. Biomed. Art 7(1): 4 (2024) - [j176]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) - [j175]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) - [j174]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 - [i98]Dennis Hein, Adam Wang, Ge Wang:
Poisson flow consistency models for low-dose CT image denoising. CoRR abs/2402.08159 (2024) - [i97]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) - [i96]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) - [i95]Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Disease-informed Adaptation of Vision-Language Models. CoRR abs/2405.15728 (2024) - [i94]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) - [i93]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) - [i92]Dennis Hein, Afshin Bozorgpour, Dorit Merhof, Ge Wang:
Physics-Inspired Generative Models in Medical Imaging: A Review. CoRR abs/2407.10856 (2024) - [i91]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) - [i90]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) - [i89]Arjun Krishna, Ge Wang, Klaus Mueller:
Multi-Conditioned Denoising Diffusion Probabilistic Model (mDDPM) for Medical Image Synthesis. CoRR abs/2409.04670 (2024) - [i88]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) - [i87]Chi Ding, Qingchao Zhang, Ge Wang, Xiaojing Ye, Yunmei Chen:
LAMA: Stable Dual-Domain Deep Reconstruction For Sparse-View CT. CoRR abs/2410.21111 (2024) - 2023
- [j173]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) - [j172]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) - [j171]Joshua Goldwag, Ge Wang:
DishBrain plays Pong and promises more. Nat. Mac. Intell. 5(6): 568-569 (2023) - [j170]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) - [j169]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) - [j168]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) - [j167]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) - [j166]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) - [j165]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. 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). 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
- [j164]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) - [j163]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) - [j162]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) - [j161]Christopher Wiedeman, Ge Wang:
Disrupting adversarial transferability in deep neural networks. Patterns 3(5): 100472 (2022) - [j160]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) - [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 B. Convergence analysis and adversarial attacks. Patterns 3(5): 100475 (2022) - [j158]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) - [j157]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) - [j156]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) - [j155]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) - [j154]Chuang Niu, Hongming Shan, Ge Wang:
SPICE: Semantic Pseudo-Labeling for Image Clustering. IEEE Trans. Image Process. 31: 7264-7278 (2022) - [j153]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) - [j152]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. 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
- [j151]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) - [j150]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) - [j149]Wenxiang Cong, Yan Xi, Bruno De Man, Ge Wang:
Monochromatic image reconstruction via machine learning. Mach. Learn. Sci. Technol. 2(2): 25032 (2021) - [j148]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) - [j147]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) - [j146]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) - [j145]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
- [j144]