Ge Wang
Researcher Next ID · RN-031710
Researcher · Engineering
Xi'an, United Kingdom
- Works count
- 1,608
- Citation count
- 43,816
- H-index
- 88
- i10-index
- 608
Research interests
Publications
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential
Visual Computing for Industry Biomedicine and Art · 2023 · https://doi.org/10.1186/s42492-023-00136-5
Development of metaverse for intelligent healthcare
Nature Machine Intelligence · 2022 · https://doi.org/10.1038/s42256-022-00549-6
On Interpretability of Artificial Neural Networks: A Survey
IEEE Transactions on Radiation and Plasma Medical Sciences · 2021 · https://doi.org/10.1109/trpms.2021.3066428
Deep learning for tomographic image reconstruction
Nature Machine Intelligence · 2020 · https://doi.org/10.1038/s42256-020-00273-z
A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop
Radiology · 2019 · https://doi.org/10.1148/radiol.2019190613
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
Nature Machine Intelligence · 2019 · https://doi.org/10.1038/s42256-019-0057-9
Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising
IEEE Access · 2018 · https://doi.org/10.1109/access.2018.2858196
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
IEEE Transactions on Medical Imaging · 2018 · https://doi.org/10.1109/tmi.2018.2827462
Image Reconstruction is a New Frontier of Machine Learning
IEEE Transactions on Medical Imaging · 2018 · https://doi.org/10.1109/tmi.2018.2833635
LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT
IEEE Transactions on Medical Imaging · 2018 · https://doi.org/10.1109/tmi.2018.2805692
Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
IEEE Transactions on Medical Imaging · 2017 · https://doi.org/10.1109/tmi.2017.2715284
aLow-dose CT via convolutional neural network
Biomedical Optics Express · 2017 · https://doi.org/10.1364/boe.8.000679
A Perspective on Deep Imaging
IEEE Access · 2016 · https://doi.org/10.1109/access.2016.2624938
Metal Artifact Reduction in CT: Where Are We After Four Decades?
IEEE Access · 2016 · https://doi.org/10.1109/access.2016.2608621
A limited-angle CT reconstruction method based on anisotropic TV minimization
Physics in Medicine and Biology · 2013 · https://doi.org/10.1088/0031-9155/58/7/2119
Achieving Routine Submillisievert CT Scanning: Report from the Summit on Management of Radiation Dose in CT
Radiology · 2012 · https://doi.org/10.1148/radiol.12112265
Low-Dose X-ray CT Reconstruction via Dictionary Learning
IEEE Transactions on Medical Imaging · 2012 · https://doi.org/10.1109/tmi.2012.2195669
Compressed sensing based interior tomography
Physics in Medicine and Biology · 2009 · https://doi.org/10.1088/0031-9155/54/9/014
An outlook on x‐ray CT research and development
Medical Physics · 2008 · https://doi.org/10.1118/1.2836950
Practical reconstruction method for bioluminescence tomography
Optics Express · 2005 · https://doi.org/10.1364/opex.13.006756
Uniqueness theorems in bioluminescence tomography
Medical Physics · 2004 · https://doi.org/10.1118/1.1766420
Principles of Computerized Tomographic Imaging
Medical Physics · 2002 · https://doi.org/10.1118/1.1455742
The Mathematics of Computerized Tomography
Medical Physics · 2002 · https://doi.org/10.1118/1.1429631
Iterative deblurring for CT metal artifact reduction
IEEE Transactions on Medical Imaging · 1996 · https://doi.org/10.1109/42.538943
A general cone-beam reconstruction algorithm
IEEE Transactions on Medical Imaging · 1993 · https://doi.org/10.1109/42.241876
Current projects
No projects listed.