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2020 – today
- 2024
[j20]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)- [j19]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) - [j18]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) - [j17]Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang:
Flipover outperforms dropout in deep learning. Vis. Comput. Ind. Biomed. Art 7(1): 4 (2024) - [j16]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - 2023
- [j15]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) - [j14]Chen Wei, Chuang Niu, Yiping Tang, Yue Wang, Haihong Hu, Jimin Liang:
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8441-8455 (2023) - [j13]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) - [j12]Chuang Niu, Ge Wang:
Editorial: advances in deep learning techniques for biomedical imaging. Vis. Comput. Ind. Biomed. Art 6(1): 12 (2023) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]Chuang Niu, Ge Wang:
CT Multi-Task Learning with a Large Image-Text (LIT) Model. CoRR abs/2304.02649 (2023) - [i23]Wenjun Xia, Yongyi Shi, Chuang Niu, Wenxiang Cong, Ge Wang:
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT. CoRR abs/2310.06949 (2023) - [i22]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
- [j11]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) - [j10]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) - [j9]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) - [j8]Lei Hu, Chuang Niu, Shenghan Ren, Minghao Dong, Changli Zheng, Wei Zhang, Jimin Liang:
Discriminative Context-Aware Network for Target Extraction in Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 700-715 (2022) - [j7]Chuang Niu, Hongming Shan, Ge Wang:
SPICE: Semantic Pseudo-Labeling for Image Clustering. IEEE Trans. Image Process. 31: 7264-7278 (2022) - [i21]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) - [i20]Chuang Niu, Giridhar Dasegowda, Pingkun Yan, Mannudeep K. Kalra, Ge Wang:
X-ray Dissectography Improves Lung Nodule Detection. CoRR abs/2203.13118 (2022) - [i19]Chuang Niu, Ge Wang:
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection. CoRR abs/2205.00122 (2022) - [i18]Chuang Niu, Ge Wang:
Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC). CoRR abs/2206.06461 (2022) - [i17]Chuang Niu, Ge Wang:
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning. CoRR abs/2207.07743 (2022) - [i16]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) - 2021
- [j6]Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang:
Self-Supervised Representation Learning for Evolutionary Neural Architecture Search. IEEE Comput. Intell. Mag. 16(3): 33-49 (2021) - [j5]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) - [j4]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) - [c3]Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan:
Task-Oriented Low-Dose CT Image Denoising. MICCAI (6) 2021: 441-450 - [i15]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) - [i14]Chuang Niu, Ge Wang:
SPICE: Semantic Pseudo-labeling for Image Clustering. CoRR abs/2103.09382 (2021) - [i13]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) - [i12]Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan:
Task-Oriented Low-Dose CT Image Denoising. CoRR abs/2103.13557 (2021) - [i11]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) - [i10]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) - [i9]Chuang Niu, Ge Wang:
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance. CoRR abs/2111.15040 (2021) - 2020
- [j3]Mengzhou Li, Zheng Fang, Wenxiang Cong, Chuang Niu, Weiwen Wu, Josef Uher, James Bennett, Jay T. Rubinstein, Ge Wang:
Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning. IEEE Access 8: 229018-229032 (2020) - [c2]Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang:
GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. ECCV (25) 2020: 735-751 - [d6]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 1. Zenodo, 2020 [all versions]
- [d5]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 2. Zenodo, 2020 [all versions] - [d4]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 3. Zenodo, 2020 [all versions] - [d3]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 4. Zenodo, 2020 [all versions] - [d2]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 5. Zenodo, 2020 [all versions] - [d1]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction. Version 6. Zenodo, 2020 [all versions] - [i8]Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang:
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering. CoRR abs/2002.11863 (2020) - [i7]Chen Wei, Chuang Niu, Yiping Tang, Jimin Liang:
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search. CoRR abs/2003.12857 (2020) - [i6]Chuang Niu, Wenxiang Cong, Fenglei Fan, Hongming Shan, Mengzhou Li, Jimin Liang, Ge Wang:
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction. CoRR abs/2007.03882 (2020) - [i5]Weiwen Wu, Dianlin Hu, Hengyong Yu, Hongming Shan, Shaoyu Wang, Wenxiang Cong, Chuang Niu, Pingkun Yan, Vince Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. CoRR abs/2008.01846 (2020) - [i4]Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang:
Self-supervised Representation Learning for Evolutionary Neural Architecture Search. CoRR abs/2011.00186 (2020) - [i3]Chuang Niu, Ge Wang:
Noise2Sim - Similarity-based Self-Learning for Image Denoising. CoRR abs/2011.03384 (2020)
2010 – 2019
- 2019
- [j2]Chuang Niu, Qiuju Yang, Shenghan Ren, Haihong Hu, Desheng Han, Zejun Hu, Jimin Liang:
Instance Segmentation of Auroral Images for Automatic Computation of Arc Width. IEEE Geosci. Remote. Sens. Lett. 16(9): 1368-1372 (2019) - [c1]Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, Jimin Liang:
Poleward Moving Aurora Recognition with Deep Convolutional Networks. PRCV (2) 2019: 551-560 - [i2]Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, Jimin Liang:
AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection. CoRR abs/1910.08250 (2019) - 2018
- [j1]Chuang Niu, Jun Zhang, Qian Wang, Jimin Liang:
Weakly Supervised Semantic Segmentation for Joint Key Local Structure Localization and Classification of Aurora Image. IEEE Trans. Geosci. Remote. Sens. 56(12): 7133-7146 (2018) - [i1]Chuang Niu, Shenghan Ren, Jimin Liang:
DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation. CoRR abs/1809.06013 (2018)
Coauthor Index
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last updated on 2024-12-02 21:27 CET by the dblp team
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