Chuang Niu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 52

Top Topics

Artifact Reduction

Medical Imaging

Tomographic Reconstruction

Top Venues

Vis. Comput. Ind. Biomed. Art

IEEE Trans. Medical Imaging

Publications

Zhihao Chen, Tao Chen, Chenhui Wang, Chuang Niu, Ge Wang, Hongming Shan
Low-dose CT Denoising with Language-engaged Dual-space Alignment. CoRR (2024)
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) (2024)
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 (2024)
Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang
Flipover outperforms dropout in deep learning. Vis. Comput. Ind. Biomed. Art 7 (1) (2024)
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) (2024)
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) (2024)
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) (2023)
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) (2023)
Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapuram, Chuang Niu, Ge Wang, Christopher T. Whitlow
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. CoRR (2023)
Chuang Niu, Ge Wang
CT Multi-Task Learning with a Large Image-Text (LIT) Model. CoRR (2023)
Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang
Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data. CoRR (2023)
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 (2023)
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 (2023)
Chuang Niu, Ge Wang
Editorial: advances in deep learning techniques for biomedical imaging. Vis. Comput. Ind. Biomed. Art 6 (1) (2023)
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 (2023)
Wenjun Xia, Yongyi Shi, Chuang Niu, Wenxiang Cong, Ge Wang
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT. CoRR (2023)
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) (2023)
Chuang Niu, Ge Wang
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection. CoRR (2022)
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 (2022)
Chuang Niu, Ge Wang
Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC). CoRR (2022)
Chuang Niu, Giridhar Dasegowda, Pingkun Yan, Mannudeep K. Kalra, Ge Wang
X-ray Dissectography Improves Lung Nodule Detection. CoRR (2022)
Chuang Niu, Hongming Shan, Ge Wang
SPICE: Semantic Pseudo-Labeling for Image Clustering. IEEE Trans. Image Process. 31 (2022)
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) (2022)
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) (2022)
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 (2022)
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 (2022)
Chuang Niu, Ge Wang
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning. CoRR (2022)
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) (2022)
Chuang Niu, Ge Wang
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance. CoRR (2021)
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) (2021)
Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan
Task-Oriented Low-Dose CT Image Denoising. CoRR (2021)
Weiwen Wu, Chuang Niu, Shadi Ebrahimian, Hengyong Yu, Mannudeep K. Kalra, Ge Wang
AI-Enabled Ultra-Low-Dose CT Reconstruction. CoRR (2021)
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) (2021)
Chuang Niu, Ge Wang
SPICE: Semantic Pseudo-labeling for Image Clustering. CoRR (2021)
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 (2021)
Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan
Task-Oriented Low-Dose CT Image Denoising. MICCAI (6) (2021)
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 (2021)
Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, Ge Wang
Phase function estimation from a diffuse optical image via deep learning. CoRR (2021)
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 (2021)
Chen Wei, Chuang Niu, Yiping Tang, Jimin Liang
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search. CoRR (2020)
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 (2020)
Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang
Self-supervised Representation Learning for Evolutionary Neural Architecture Search. CoRR (2020)
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 (2020)
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 (2020)
Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang
GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. ECCV (25) (2020)
Chuang Niu, Ge Wang
Noise2Sim - Similarity-based Self-Learning for Image Denoising. CoRR (2020)
Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering. CoRR (2020)
Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, Jimin Liang
AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection. CoRR (2019)
Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, Jimin Liang
Poleward Moving Aurora Recognition with Deep Convolutional Networks. PRCV (2) (2019)
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) (2019)
Chuang Niu, Shenghan Ren, Jimin Liang
DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation. CoRR (2018)
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) (2018)