Chuang Niu

According to our database, Chuang Niu authored at least 46 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Flipover outperforms dropout in deep learning.

Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang

Vis. Comput. Ind. Biomed. Art, December, 2024

Deep Few-view High-resolution Photon-counting Extremity CT at Halved Dose for a Clinical Trial.

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

CoRR, 2024

Low-dose CT Denoising with Language-engaged Dual-space Alignment.

Zhihao Chen, Tao Chen, Chenhui Wang, Chuang Niu, Ge Wang, Hongming Shan

CoRR, 2024

2023

Editorial: advances in deep learning techniques for biomedical imaging.

Chuang Niu, Ge Wang

Vis. Comput. Ind. Biomed. Art, December, 2023

NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search.

Chen Wei, Chuang Niu, Yiping Tang, Yue Wang, Haihong Hu, Jimin Liang

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Noise Suppression With Similarity-Based Self-Supervised Deep Learning.

Chuang Niu, Mengzhou Li, Fenglei Fan, Weiwen Wu, Xiaodong Guo, Qing Lyu, Ge Wang

IEEE Trans. Medical Imaging, June, 2023

Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential.

Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow

Vis. Comput. Ind. Biomed. Art, 2023

IQAGPT: Image Quality Assessment with Vision-language and ChatGPT Models.

Zhihao Chen, Bin Hu, Chuang Niu, Tao Chen, Yuxin Li, Hongming Shan, Ge Wang

CoRR, 2023

Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT.

Wenjun Xia, Yongyi Shi, Chuang Niu, Wenxiang Cong, Ge Wang

CoRR, 2023

CT Multi-Task Learning with a Large Image-Text (LIT) Model.

Chuang Niu, Ge Wang

CoRR, 2023

Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data.

Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang

CoRR, 2023

Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential.

Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Ge Wang, Kyle J. Myers, Christopher T. Whitlow

CoRR, 2023

LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring.

Zhihao Chen, Chuang Niu, Ge Wang, Hongming Shan

CoRR, 2023

QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data.

Yuhui Ruan, Qiao Yuan, Chuang Niu, Chen Li, Yudong Yao, Ge Wang, Yueyang Teng

CoRR, 2023

2022

Development of metaverse for intelligent healthcare.

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

Nat. Mac. Intell., November, 2022

SPICE: Semantic Pseudo-Labeling for Image Clustering.

Chuang Niu, Hongming Shan, Ge Wang

IEEE Trans. Image Process., 2022

Discriminative Context-Aware Network for Target Extraction in Remote Sensing Imagery.

Lei Hu, Chuang Niu, Shenghan Ren, Minghao Dong, Changli Zheng, Wei Zhang, Jimin Liang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks.

Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang

Patterns, 2022

Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results.

Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang

Patterns, 2022

FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction.

Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan

CoRR, 2022

HOME: High-Order Mixed-Moment-based Embedding for Representation Learning.

Chuang Niu, Ge Wang

CoRR, 2022

Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC).

Chuang Niu, Ge Wang

CoRR, 2022

Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection.

Chuang Niu, Ge Wang

CoRR, 2022

X-ray Dissectography Improves Lung Nodule Detection.

Chuang Niu, Giridhar Dasegowda, Pingkun Yan, Mannudeep K. Kalra, Ge Wang

CoRR, 2022

Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain.

Rodrigo de Barros Vimieiro, Chuang Niu, Hongming Shan, Lucas Rodrigues Borges, Ge Wang, Marcelo Andrade da Costa Vieira

CoRR, 2022

2021

DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction.

Weiwen Wu, Dianlin Hu, Chuang Niu, Hengyong Yu, Varut Vardhanabhuti, Ge Wang

IEEE Trans. Medical Imaging, 2021

Deep learning based spectral CT imaging.

Weiwen Wu, Dianlin Hu, Chuang Niu, Lieza Vanden Broeke, Anthony P. H. Butler, Peng Cao, James Atlas, Alexander I. Chernoglazov, Varut Vardhanabhuti, Ge Wang

Neural Networks, 2021

X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance.

Chuang Niu, Ge Wang

CoRR, 2021

Phase function estimation from a diffuse optical image via deep learning.

Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, Ge Wang

CoRR, 2021

AI-Enabled Ultra-Low-Dose CT Reconstruction.

Weiwen Wu, Chuang Niu, Shadi Ebrahimian, Hengyong Yu, Mannudeep K. Kalra, Ge Wang

CoRR, 2021

Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning.

Arjun Krishna, Kedar Bartake, Chuang Niu, Ge Wang, Youfang Lai, Xun Jia, Klaus Mueller

CoRR, 2021

SPICE: Semantic Pseudo-labeling for Image Clustering.

Chuang Niu, Ge Wang

CoRR, 2021

Noise Entangled GAN For Low-Dose CT Simulation.

Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, Kyle J. Myers, Rongping Zeng

CoRR, 2021

Self-Supervised Representation Learning for Evolutionary Neural Architecture Search.

Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang

IEEE Comput. Intell. Mag., 2021

Task-Oriented Low-Dose CT Image Denoising.

Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Noise2Sim - Similarity-based Self-Learning for Image Denoising.

Chuang Niu, Ge Wang

CoRR, 2020

Stabilizing Deep Tomographic Reconstruction Networks.

Weiwen Wu, Dianlin Hu, Hengyong Yu, Hongming Shan, Shaoyu Wang, Wenxiang Cong, Chuang Niu, Pingkun Yan, Vince Vardhanabhuti, Ge Wang

CoRR, 2020

Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction.

Chuang Niu, Wenxiang Cong, Fenglei Fan, Hongming Shan, Mengzhou Li, Jimin Liang, Ge Wang

CoRR, 2020

NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search.

Chen Wei, Chuang Niu, Yiping Tang, Jimin Liang

CoRR, 2020

Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning.

Mengzhou Li, Zheng Fang, Wenxiang Cong, Chuang Niu, Weiwen Wu, Josef Uher, James Bennett, Jay T. Rubinstein, Ge Wang

IEEE Access, 2020

GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering.

Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Instance Segmentation of Auroral Images for Automatic Computation of Arc Width.

Chuang Niu, Qiuju Yang, Shenghan Ren, Haihong Hu, Desheng Han, Zejun Hu, Jimin Liang

IEEE Geosci. Remote. Sens. Lett., 2019

AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection.

Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, Jimin Liang

CoRR, 2019

Poleward Moving Aurora Recognition with Deep Convolutional Networks.

Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, Jimin Liang

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

2018

Weakly Supervised Semantic Segmentation for Joint Key Local Structure Localization and Classification of Aurora Image.

Chuang Niu, Jun Zhang, Qian Wang, Jimin Liang

IEEE Trans. Geosci. Remote. Sens., 2018

DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation.

Chuang Niu, Shenghan Ren, Jimin Liang

CoRR, 2018