| Development of metaverse for intelligent healthcare G Wang, A Badal, X Jia, JS Maltz, K Mueller, KJ Myers, C Niu, M Vannier, ... Nature Machine Intelligence 4 (11), 922-929, 2022 | 165 | 2022 |
| DRONE: Dual-domain residual-based optimization network for sparse-view CT reconstruction W Wu, D Hu, C Niu, H Yu, V Vardhanabhuti, G Wang IEEE Transactions on Medical Imaging 40 (11), 3002-3014, 2021 | 138 | 2021 |
| SPICE: Semantic Pseudo-labeling for Image Clustering C Niu, H Shan, G Wang IEEE Transactions on Image Processing, 2022 | 131 | 2022 |
| Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential Q Lyu, J Tan, ME Zapadka, J Ponnatapura, C Niu, KJ Myers, G Wang, ... Visual Computing for Industry, Biomedicine, and Art 6 (1), 9, 2023 | 121 | 2023 |
| Npenas: Neural predictor guided evolution for neural architecture search C Wei, C Niu, Y Tang, Y Wang, H Hu, J Liang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 96 | 2022 |
| GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering C Niu, J Zhang, G Wang, J Liang ECCV 2020, 735--751, 2020 | 82 | 2020 |
| Noise suppression with similarity-based self-supervised deep learning C Niu, M Li, F Fan, W Wu, X Guo, Q Lyu, G Wang IEEE Transactions on Medical Imaging, 2022 | 68* | 2022 |
| Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results W Wu, D Hu, W Cong, H Shan, S Wang, C Niu, P Yan, H Yu, ... Patterns 3 (5), 2022 | 59 | 2022 |
| Deep learning based spectral CT imaging W Wu, D Hu, C Niu, LV Broeke, APH Butler, P Cao, J Atlas, ... Neural Networks 144, 342-358, 2021 | 43 | 2021 |
| Weakly supervised semantic segmentation for joint key local structure localization and classification of aurora image C Niu, J Zhang, Q Wang, J Liang IEEE Transactions on Geoscience and Remote Sensing 56 (12), 7133-7146, 2018 | 28 | 2018 |
| Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection C Niu, G Wang Physics in Medicine & Biology 67 (20), 204001, 2022 | 24 | 2022 |
| Self-supervised representation learning for evolutionary neural architecture search C Wei, Y Tang, C Niu, H Hu, Y Wang, J Liang IEEE Computational Intelligence Magazine 16 (3), 33-49, 2021 | 21 | 2021 |
| Low-dimensional manifold-constrained disentanglement network for metal artifact reduction C Niu, W Cong, FL Fan, H Shan, M Li, J Liang, G Wang IEEE transactions on radiation and plasma medical sciences 6 (6), 656-666, 2021 | 17 | 2021 |
| Task-oriented low-dose CT image denoising J Zhang, H Chao, X Xu, C Niu, G Wang, P Yan Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 17 | 2021 |
| Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks W Wu, D Hu, W Cong, H Shan, S Wang, C Niu, P Yan, H Yu, ... Patterns 3 (5), 2022 | 16 | 2022 |
| Translating radiology reports into plain language using chatgpt and gpt-4 with prompt learning: Promising results, limitations, and potential. 2023 Q Lyu, J Tan, ME Zapadka, J Ponnatapura, C Niu, KJ Myers, G Wang, ... arXiv preprint arXiv.2303.09038, 0 | 15 | |
| LIT-Former: Linking in-plane and through-plane transformers for simultaneous CT image denoising and deblurring Z Chen, C Niu, Q Gao, G Wang, H Shan IEEE Transactions on Medical Imaging, 2024 | 13 | 2024 |
| Clinical micro-CT empowered by interior tomography, robotic scanning, and deep learning M Li, Z Fang, W Cong, C Niu, W Wu, J Uher, J Bennett, JT Rubinstein, ... IEEE Access 8, 229018-229032, 2020 | 13 | 2020 |
| Self-supervised dual-domain network for low-dose CT denoising C Niu, M Li, X Guo, G Wang Developments in X-Ray Tomography XIV 12242, 85-91, 2022 | 9 | 2022 |
| Multiple window learning for CT metal artifact reduction C Niu, M Li, G Wang Developments in X-Ray Tomography XIII 11840, 161, 2021 | 8* | 2021 |
Ge WangRensselaer Polytechnic InstituteVerified email at rpi.edu
