G E Wang (Ge Wang)

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 47

Top Venues

Physics in medicine and biology

Visual computing for industry, biomedicine, and art

Radiology

Radiology. Artificial intelligence

Rensselaer Polytechnic Institute

University at Buffalo (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Rensselaer Polytechnic Institute

United States

Clark & Crossan Endowed Chair Professor :: Biomedical Engineering

Virginia Tech

United States

Pritchard Professor :: Biomedical Engineering (a joint department with Wake Forest Univ.)

University of Iowa

United States

Professor :: Radiology

University of Iowa

United States

Associate Prof. :: Radiology

Washington University in Saint Louis School of Medicine

United States

Assistant Prof. :: Mallinckrodt Inst. of Radiology

Washington University in Saint Louis School of Medicine

United States

Instructor :: Mallinckrodt Inst. of Radiology

Education History

University at Buffalo

United States

PHD :: Electrical & Computer Engineering

University at Buffalo

United States

MSC :: Electrical & Computer Engineering

Chinese Academy of Sciences

China

MSC :: Institute of Remote Sensing Applications

Publications

Mengzhou Li, Xiaodong Guo, Amit Verma, Alena Rudkouskaya, Antigone M McKenna, Xavier Intes, G E Wang, Margarida M Barroso
Contrast-enhanced photon-counting micro-CT of tumor xenograft models. Physics in medicine and biology 69 (15) (2024)
Yongshun Xu, Shuo Han, Dayang Wang, G E Wang, Jonathan S Maltz, Hengyong Yu
Hybrid U-Net and Swin-transformer network for limited-angle cardiac computed tomography. Physics in medicine and biology 69 (10) (2024)
Mengzhou Li, Xiaodong Guo, Amit Verma, Alena Rudkouskaya, Antigone M McKenna, Xavier Intes, G E Wang, Margarida M Barroso
Contrast-enhanced photon-counting micro-CT of tumor xenograft models. Physics in medicine and biology 69 (15) (2024)
Jiajin Zhang, Hanqing Chao, Giridhar Dasegowda, G E Wang, Mannudeep K Kalra, Pingkun Yan
Revisiting the Trustworthiness of Saliency Methods in Radiology AI. Radiology. Artificial intelligence 6 (1) (2024)
Christopher Wiedeman, Peter Lorraine, G E Wang, Richard Do, Amber Simpson, Jacob Peoples, Bruno De Man
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. Visual computing for industry, biomedicine, and art 7 (1) (2024)
Christopher Wiedeman, Peter Lorraine, G E Wang, Richard Do, Amber Simpson, Jacob Peoples, Bruno De Man
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. Visual computing for industry, biomedicine, and art 7 (1) (2024)
Mengzhou Li, Xiaodong Guo, Amit Verma, Alena Rudkouskaya, Antigone M McKenna, Xavier Intes, G E Wang, Margarida M Barroso
Contrast-enhanced photon-counting micro-CT of tumor xenograft models. Physics in medicine and biology (2024)
Jiajin Zhang, Hanqing Chao, Giridhar Dasegowda, G E Wang, Mannudeep K Kalra, Pingkun Yan
Revisiting the Trustworthiness of Saliency Methods in Radiology AI. Radiology. Artificial intelligence 6 (1) (2024)
Yongshun Xu, Shuo Han, Dayang Wang, G E Wang, Jonathan S Maltz, Hengyong Yu
Hybrid U-Net and Swin-transformer network for limited-angle cardiac computed tomography. Physics in medicine and biology 69 (10) (2024)
Christopher Wiedeman, Peter Lorraine, G E Wang, Richard Do, Amber Simpson, Jacob Peoples, Bruno De Man
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. Visual computing for industry, biomedicine, and art 7 (1) (2024)
Jiajin Zhang, Hanqing Chao, Giridhar Dasegowda, G E Wang, Mannudeep K Kalra, Pingkun Yan
Revisiting the Trustworthiness of Saliency Methods in Radiology AI. Radiology. Artificial intelligence 6 (1) (2024)
Mengzhou Li, Xiaodong Guo, Amit Verma, Alena Rudkouskaya, Antigone M McKenna, Xavier Intes, G E Wang, Margarida M Barroso
Contrast-enhanced photon-counting micro-CT of tumor xenograft models. Physics in medicine and biology 69 (15) (2024)
Christopher Wiedeman, Peter Lorraine, G E Wang, Richard Do, Amber Simpson, Jacob Peoples, Bruno De Man
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. Visual computing for industry, biomedicine, and art 7 (1) (2024)
Mengzhou Li, Xiaodong Guo, Amit Verma, Alena Rudkouskaya, Antigone M McKenna, Xavier Intes, G E Wang, Margarida M Barroso
Contrast-enhanced photon-counting micro-CT of tumor xenograft models. Physics in medicine and biology (2024)
Yongshun Xu, Shuo Han, Dayang Wang, G E Wang, Jonathan S Maltz, Hengyong Yu
Hybrid U-Net and Swin-transformer network for limited-angle cardiac computed tomography. Physics in medicine and biology (2024)
Christopher Wiedeman, Peter Lorraine, G E Wang, Richard Do, Amber Simpson, Jacob Peoples, Bruno De Man
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. Visual computing for industry, biomedicine, and art 7 (1) (2024)
Yongshun Xu, Shuo Han, Dayang Wang, G E Wang, Jonathan S Maltz, Hengyong Yu
Hybrid U-Net and Swin-transformer network for limited-angle cardiac computed tomography. Physics in medicine and biology 69 (10) (2024)
Yuhui Ruan, Qiao Yuan, Chuang Niu, Chen Li, Yudong Yao, G E Wang, Yueyang Teng
QS-ADN: quasi-supervised artifact disentanglement network for low-dose CT image denoising by local similarity among unpaired data. Physics in medicine and biology (2023)
Qingsong Yang, Donna L Lizotte, Wenxiang Cong, G E Wang
Preliminary landscape analysis of deep tomographic imaging patents. Visual computing for industry, biomedicine, and art 6 (1) (2023)
Michael W Vannier, G E Wang
Open-Source Inline Generative AI for Fast Cardiac MRI. Radiology 307 (5) (2023)
Qingsong Yang, Donna L Lizotte, Wenxiang Cong, G E Wang
Preliminary landscape analysis of deep tomographic imaging patents. Visual computing for industry, biomedicine, and art 6 (1) (2023)
Qingsong Yang, Donna L Lizotte, Wenxiang Cong, G E Wang
Preliminary landscape analysis of deep tomographic imaging patents. Visual computing for industry, biomedicine, and art 6 (1) (2023)
G E Wang, Andreu Badal, Xun Jia, Jonathan S Maltz, Klaus Mueller, Kyle J Myers, Chuang Niu, Michael Vannier, Pingkun Yan, Zhou Yu, Rongping Zeng
Development of metaverse for intelligent healthcare. Nature machine intelligence 4 (11) (2022)
Giorgos Papanastasiou, Alba García Seco de Herrera, Chengjia Wang, Heye Zhang, Guang Yang, G E Wang
Focus on machine learning models in medical imaging. Physics in medicine and biology 68 (1) (2022)
G E Wang, Andreu Badal, Xun Jia, Jonathan S Maltz, Klaus Mueller, Kyle J Myers, Chuang Niu, Michael Vannier, Pingkun Yan, Zhou Yu, Rongping Zeng
Development of metaverse for intelligent healthcare. Nature machine intelligence 4 (11) (2022)
Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, G E Wang
Phase function estimation from a diffuse optical image via deep learning. Physics in medicine and biology 67 (7) (2022)
Jason Z Zhang, Halemane Ganesh, Flavius D Raslau, Rashmi Nair, Edward Escott, Chi Wang, G E Wang, Jie Zhang
Deep learning versus iterative reconstruction on image quality and dose reduction in abdominal CT: a live animal study. Physics in medicine and biology 67 (14) (2022)
Giorgos Papanastasiou, Alba García Seco de Herrera, Chengjia Wang, Heye Zhang, Guang Yang, G E Wang
Focus on machine learning models in medical imaging. Physics in medicine and biology 68 (1) (2022)
Tianrui Qi, G E Wang
Superiority of quadratic over conventional neural networks for classification of gaussian mixture data. Visual computing for industry, biomedicine, and art 5 (1) (2022)
Michael W Vannier, G E Wang
Deep Learning Denoising for Myocardial Perfusion CT with a Residual Dense Network. Radiology 305 (1) (2022)
G E Wang, Andreu Badal, Xun Jia, Jonathan S Maltz, Klaus Mueller, Kyle J Myers, Chuang Niu, Michael Vannier, Pingkun Yan, Zhou Yu, Rongping Zeng
Development of metaverse for intelligent healthcare. Nature machine intelligence 4 (11) (2022)
Joshua Chuah, Uwe Kruger, G E Wang, Pingkun Yan, Juergen Hahn
Framework for Testing Robustness of Machine Learning-Based Classifiers. Journal of personalized medicine 12 (8) (2022)
Giorgos Papanastasiou, Alba García Seco de Herrera, Chengjia Wang, Heye Zhang, Guang Yang, G E Wang
Focus on machine learning models in medical imaging. Physics in medicine and biology 68 (1) (2022)
Chuang Niu, G E Wang
Unsupervised contrastive learning based transformer for lung nodule detection. Physics in medicine and biology 67 (20) (2022)
Giorgos Papanastasiou, Alba García Seco de Herrera, Chengjia Wang, Heye Zhang, Guang Yang, G E Wang
Focus on machine learning models in medical imaging. Physics in medicine and biology 68 (1) (2022)
Michael W Vannier, G E Wang
Histomorphometry of Biliary Atresia with Phase-Contrast CT Microscopy Yields Unique Insights. Radiology 299 (3) (2021)
Mengzhou Li, Lei Luo, Sujoy Sikdar, Navid Ibtehaj Nizam, Shan Gao, Hongming Shan, Melanie Kruger, Uwe Kruger, Hisham Mohamed, Lirong Xia, G E Wang
Optimized collusion prevention for online exams during social distancing. NPJ science of learning 6 (1) (2021)
Xiaodong Guo, Yiming Lei, Peng He, Wenbing Zeng, Ran Yang, Yinjin Ma, Peng Feng, Qing Lyu, G E Wang, Hongming Shan
An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT. Physics in medicine and biology 66 (24) (2021)
Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, G E Wang, Mannudeep K Kalra, Pingkun Yan
Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography. Nature communications 12 (1) (2021)
Wenxiang Cong, Yan Xi, Bruno De Man, G E Wang
Monochromatic image reconstruction via machine learning. Machine learning: science and technology 2 (2) (2021)
Mengzhou Li, Zheng Fang, Wenxiang Cong, Chuang Niu, Weiwen Wu, Josef Uher, James Bennett, Jay T Rubinstein, G E Wang
Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning. IEEE access : practical innovations, open solutions 8 (2020)
Curtis P Langlotz, Bibb Allen, Bradley J Erickson, Jayashree Kalpathy-Cramer, Keith Bigelow, Tessa Sundaram Cook, Adam E Flanders, Matthew P Lungren, David S Mendelson, Jeffrey D Rudie, G E Wang, Krishna Kandarpa
A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop. Radiology 291 (3) (2019)
Ruben De Man, Grace Jianan Gang, Xin Li, G E Wang
Comparison of deep learning and human observer performance for detection and characterization of simulated lesions. Journal of medical imaging (Bellingham, Wash.) 6 (2) (2019)
Huidong Xie, Hongming Shan, G E Wang
Deep Encoder-Decoder Adversarial Reconstruction(DEAR) Network for 3D CT from Few-View Data. Bioengineering (Basel, Switzerland) 6 (4) (2019)
Kevin Smith, Matthew Getzin, Josephine J Garfield, Sanika Suvarnapathaki, Gulden Camci-Unal, G E Wang, Manos Gkikas
Nanophosphor-Based Contrast Agents for Spectral X-ray Imaging. Nanomaterials (Basel, Switzerland) 9 (8) (2019)
Fenglei Fan, Wenxiang Cong, G E Wang
Generalized backpropagation algorithm for training second-order neural networks. International journal for numerical methods in biomedical engineering 34 (5) (2018)
Fenglei Fan, Wenxiang Cong, G E Wang
A new type of neurons for machine learning. International journal for numerical methods in biomedical engineering 34 (2) (2017)

G E Wang.css-eqlu8i{font-size:small;padding-left:4px;} (Ge Wang)

Publication Activity (10 Years)

Top Topics

Top Venues

G E Wang (Ge Wang)