| Learning to reconstruct computed tomography images directly from sinogram data under a variety of data acquisition conditions Y Li, K Li, C Zhang, J Montoya, GH Chen IEEE transactions on medical imaging 38 (10), 2469-2481, 2019 | 161 | 2019 |
| Diagnosis of coronavirus disease 2019 pneumonia by using chest radiography: Value of artificial intelligence R Zhang, X Tie, Z Qi, NB Bevins, C Zhang, D Griner, TK Song, JD Nadig, ... Radiology 298 (2), E88-E97, 2021 | 139 | 2021 |
| CT artifact reduction via U-net CNN C Zhang, Y Xing Medical Imaging 2018: Image Processing 10574, 105741R, 2018 | 28 | 2018 |
| Accurate and robust sparse‐view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL‐PICCS) C Zhang, Y Li, GH Chen Medical physics 48 (10), 5765-5781, 2021 | 27* | 2021 |
| Reconstruction of three‐dimensional tomographic patient models for radiation dose modulation in CT from two scout views using deep learning JC Montoya*, C Zhang*, Y Li, K Li, GH Chen Medical Physics, 2021 | 15* | 2021 |
| High pitch helical CT reconstruction JW Hayes, J Montoya, A Budde, C Zhang, Y Li, K Li, J Hsieh, GH Chen IEEE Transactions on Medical Imaging 40 (11), 3077-3088, 2021 | 14 | 2021 |
| Unbiased statistical image reconstruction in low-dose CT J Hayes, R Zhang, C Zhang, D Gomez-Cardona, GH Chen Medical Imaging 2019: Physics of Medical Imaging 10948, 1246-1251, 2019 | 8 | 2019 |
| Polyenergetic known-component reconstruction without prior shape models C Zhang, W Zbijewski, X Zhang, S Xu, JW Stayman Medical Imaging 2017: Physics of Medical Imaging 10132, 158-163, 2017 | 4 | 2017 |
| Deep-Interior: A new pathway to interior tomographic image reconstruction via a weighted backprojection and deep learning C Zhang, GH Chen Medical physics, 2023 | 3* | 2023 |
| Deep learning in image reconstruction: vulnerability under adversarial attacks and potential defense strategies C Zhang, Y Li, GH Chen Medical Imaging 2021: Physics of Medical Imaging 11595, 482-488, 2021 | 3 | 2021 |
| A divide-and-conquer strategy to overcome memory limitations of current GPUs for high resolution MRI reconstruction via a domain transform deep learning method C Zhang, D Griner, Y Li, Y Wu, G Chen Proceedings of the 27th International Society for Magnetic Resonance in …, 2019 | 2 | 2019 |
| Image reconstruction from fully-truncated and sparsely-sampled line integrals using iCT-Net Y Li, K Li, C Zhang, J Montoya, GH Chen Medical Imaging 2019: Physics of Medical Imaging 10948, 194-199, 2019 | 2 | 2019 |
| Experimental measurement of local noise power spectrum (NPS) in photon counting detector‐CT (PCD‐CT) using a single data acquisition C Zhang, K Li, R Zhang, GH Chen Medical Physics, 2024 | 1 | 2024 |
| Reconstruction of local noise power spectrum from a single CT data acquisition C Zhang, K Li, R Zhang, GH Chen Medical Imaging 2023: Physics of Medical Imaging 12463, 815-820, 2023 | 1 | 2023 |
| Noise power spectrum (NPS) in computed tomography: Enabling local NPS measurement without stationarity and ergodicity assumptions C Zhang, K Li, R Zhang, GH Chen Medical Physics, 2024 | | 2024 |
| Deep Learning in CT Reconstruction: Bringing the Measured Data to Tasks GH Chen, C Zhang, Y Li, Y Han, JC Ye Deep Learning for Biomedical Image Reconstruction, 114-165, 2023 | | 2023 |
| Next Generation CT Image Reconstruction Via Synergy of Human Wisdom and Machine Intelligence C Zhang The University of Wisconsin-Madison, 2023 | | 2023 |
| A unified artifact correction framework for C-arm photon counting cone beam CT M Feng, X Ji, K Treb, C Zhang, E Cai, R Zhang, S Periyasamy, P Laeseke, ... Medical Imaging 2022: Physics of Medical Imaging, PC120310K, 2022 | | 2022 |
| Patient-specific noise power spectrum measurement via generative adversarial networks (Conference Presentation) C Zhang, D Gomez-Cardona, Y Li, J Montoya, G Chen Medical Imaging 2019: Physics of Medical Imaging 10948, 109480I, 2019 | | 2019 |
Guang-Hong ChenCharles A. Mistretta Professor of Medical Physics and Radiology, University of Wisconsin-MadisonVerified email at wisc.edu
