Chuang Niu - RankMe

64 papers Journal 60Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Few-View High-Resolution Photon-Counting CT at Halved Dose for Extremity Imaging. IEEE Trans. Medical Imaging 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
2026	J	`jnl`	Foundation Models for Medical Imaging: Status, Challenges, and Directions. CoRR Chuang Niu, Pengwei Wu, Bruno De Man, Ge Wang
2026	J	`jnl`	Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning. IEEE Trans. Image Process. Chuang Niu, Wenjun Xia, Hongming Shan, Ge Wang
2026	J	`jnl`	Privacy-Preserving Latent Diffusion-Based Synthetic Medical Image Generation. IEEE Trans. Medical Imaging Yongyi Shi, Wenjun Xia, Chuang Niu, Christopher Wiedeman, Ge Wang
2025	J	`jnl`	Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning. CoRR Chuang Niu, Wenjun Xia, Hongming Shan, Ge Wang
2025	J	`jnl`	LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models. CoRR Zhihao Chen, Tao Chen, Chenhui Wang, Qi Gao, Huidong Xie, Chuang Niu, Ge Wang, Hongming Shan
2025	J	`jnl`	Reasoning Language Model for Personalized Lung Cancer Screening. CoRR Chuang Niu, Ge Wang
2025	J	`jnl`	Tomographic Foundation Model - FORCE: Flow-Oriented Reconstruction Conditioning Engine. CoRR Wenjun Xia, Chuang Niu, Ge Wang
2024	J	`jnl`	3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model. CoRR Chuang Niu, Christopher Wiedeman, Mengzhou Li, Jonathan S. Maltz, Ge Wang
2024	J	`jnl`	A Denoising Diffusion Probabilistic Model for Metal Artifact Reduction in CT. IEEE Trans. Medical Imaging Grigorios M. Karageorgos, Jiayong Zhang, Nils Peters, Wenjun Xia, Chuang Niu, Harald Paganetti, Ge Wang, Bruno De Man
2024	J	`jnl`	Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model. CoRR Chuang Niu, Parisa Kaviani, Qing Lyu, Mannudeep K. Kalra, Christopher T. Whitlow, Ge Wang
2024	J	`jnl`	Deep Few-view High-resolution Photon-counting Extremity CT at Halved Dose for a Clinical Trial. CoRR 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
2024	J	`jnl`	Flipover outperforms dropout in deep learning. Vis. Comput. Ind. Biomed. Art Yuxuan Liang, Chuang Niu, Pingkun Yan, Ge Wang
2024	J	`jnl`	IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models. Vis. Comput. Ind. Biomed. Art Zhihao Chen, Bin Hu, Chuang Niu, Tao Chen, Yuxin Li, Hongming Shan, Ge Wang
2024	J	`jnl`	LIT-Former: Linking In-Plane and Through-Plane Transformers for Simultaneous CT Image Denoising and Deblurring. IEEE Trans. Medical Imaging Zhihao Chen, Chuang Niu, Qi Gao, Ge Wang, Hongming Shan
2024	—	`conf`	Low-dose CT Denoising with Language-engaged Dual-space Alignment. BIBM Zhihao Chen, Tao Chen, Chenhui Wang, Qi Gao, Chuang Niu, Ge Wang, Hongming Shan
2024	J	`jnl`	Low-dose CT Denoising with Language-engaged Dual-space Alignment. CoRR Zhihao Chen, Tao Chen, Chenhui Wang, Chuang Niu, Ge Wang, Hongming Shan
2024	J	`jnl`	Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction. IEEE Trans. Medical Imaging Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan
2023	J	`jnl`	CT Multi-Task Learning with a Large Image-Text (LIT) Model. CoRR Chuang Niu, Ge Wang
2023	J	`jnl`	Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT. CoRR Wenjun Xia, Yongyi Shi, Chuang Niu, Wenxiang Cong, Ge Wang
2023	J	`jnl`	Editorial: advances in deep learning techniques for biomedical imaging. Vis. Comput. Ind. Biomed. Art Chuang Niu, Ge Wang
2023	J	`jnl`	IQAGPT: Image Quality Assessment with Vision-language and ChatGPT Models. CoRR Zhihao Chen, Bin Hu, Chuang Niu, Tao Chen, Yuxin Li, Hongming Shan, Ge Wang
2023	J	`jnl`	LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring. CoRR Zhihao Chen, Chuang Niu, Ge Wang, Hongming Shan
2023	J	`jnl`	NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. Chen Wei, Chuang Niu, Yiping Tang, Yue Wang, Haihong Hu, Jimin Liang
2023	J	`jnl`	Noise Suppression With Similarity-Based Self-Supervised Deep Learning. IEEE Trans. Medical Imaging Chuang Niu, Mengzhou Li, Fenglei Fan, Weiwen Wu, Xiaodong Guo, Qing Lyu, Ge Wang
2023	J	`jnl`	QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data. CoRR Yuhui Ruan, Qiao Yuan, Chuang Niu, Chen Li, Yudong Yao, Ge Wang, Yueyang Teng
2023	J	`jnl`	Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data. CoRR Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang
2023	J	`jnl`	Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. CoRR Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Ge Wang, Kyle J. Myers, Christopher T. Whitlow
2023	J	`jnl`	Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. Vis. Comput. Ind. Biomed. Art Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow
2022	J	`jnl`	Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain. CoRR Rodrigo de Barros Vimieiro, Chuang Niu, Hongming Shan, Lucas Rodrigues Borges, Ge Wang, Marcelo Andrade da Costa Vieira
2022	J	`jnl`	Development of metaverse for intelligent healthcare. Nat. Mac. Intell. 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
2022	J	`jnl`	Discriminative Context-Aware Network for Target Extraction in Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Lei Hu, Chuang Niu, Shenghan Ren, Minghao Dong, Changli Zheng, Wei Zhang, Jimin Liang
2022	J	`jnl`	FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction. CoRR Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan
2022	J	`jnl`	HOME: High-Order Mixed-Moment-based Embedding for Representation Learning. CoRR Chuang Niu, Ge Wang
2022	J	`jnl`	SPICE: Semantic Pseudo-Labeling for Image Clustering. IEEE Trans. Image Process. Chuang Niu, Hongming Shan, Ge Wang
2022	J	`jnl`	Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC). CoRR Chuang Niu, Ge Wang
2022	J	`jnl`	Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. Patterns Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
2022	J	`jnl`	Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. Patterns Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
2022	J	`jnl`	Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection. CoRR Chuang Niu, Ge Wang
2022	J	`jnl`	X-ray Dissectography Improves Lung Nodule Detection. CoRR Chuang Niu, Giridhar Dasegowda, Pingkun Yan, Mannudeep K. Kalra, Ge Wang
2021	J	`jnl`	AI-Enabled Ultra-Low-Dose CT Reconstruction. CoRR Weiwen Wu, Chuang Niu, Shadi Ebrahimian, Hengyong Yu, Mannudeep K. Kalra, Ge Wang
2021	J	`jnl`	DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction. IEEE Trans. Medical Imaging Weiwen Wu, Dianlin Hu, Chuang Niu, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
2021	J	`jnl`	Deep learning based spectral CT imaging. Neural Networks Weiwen Wu, Dianlin Hu, Chuang Niu, Lieza Vanden Broeke, Anthony P. H. Butler, Peng Cao, James Atlas, Alexander I. Chernoglazov, Varut Vardhanabhuti, Ge Wang
2021	J	`jnl`	Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning. CoRR Arjun Krishna, Kedar Bartake, Chuang Niu, Ge Wang, Youfang Lai, Xun Jia, Klaus Mueller
2021	J	`jnl`	Noise Entangled GAN For Low-Dose CT Simulation. CoRR Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, Kyle J. Myers, Rongping Zeng
2021	J	`jnl`	Phase function estimation from a diffuse optical image via deep learning. CoRR Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, Ge Wang
2021	J	`jnl`	SPICE: Semantic Pseudo-labeling for Image Clustering. CoRR Chuang Niu, Ge Wang
2021	J	`jnl`	Self-Supervised Representation Learning for Evolutionary Neural Architecture Search. IEEE Comput. Intell. Mag. Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang
2021	—	`conf`	Task-Oriented Low-Dose CT Image Denoising. MICCAI (6) Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan
2021	J	`jnl`	Task-Oriented Low-Dose CT Image Denoising. CoRR Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan
2021	J	`jnl`	X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance. CoRR Chuang Niu, Ge Wang
2020	J	`jnl`	Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning. IEEE Access Mengzhou Li, Zheng Fang, Wenxiang Cong, Chuang Niu, Weiwen Wu, Josef Uher, James Bennett, Jay T. Rubinstein, Ge Wang
2020	J	`jnl`	GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering. CoRR Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang
2020	—	`conf`	GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. ECCV (25) Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang
2020	J	`jnl`	Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction. CoRR Chuang Niu, Wenxiang Cong, Fenglei Fan, Hongming Shan, Mengzhou Li, Jimin Liang, Ge Wang
2020	J	`jnl`	NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search. CoRR Chen Wei, Chuang Niu, Yiping Tang, Jimin Liang
2020	J	`jnl`	Noise2Sim - Similarity-based Self-Learning for Image Denoising. CoRR Chuang Niu, Ge Wang
2020	J	`jnl`	Self-supervised Representation Learning for Evolutionary Neural Architecture Search. CoRR Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang
2020	J	`jnl`	Stabilizing Deep Tomographic Reconstruction Networks. CoRR Weiwen Wu, Dianlin Hu, Hengyong Yu, Hongming Shan, Shaoyu Wang, Wenxiang Cong, Chuang Niu, Pingkun Yan, Vince Vardhanabhuti, Ge Wang
2019	J	`jnl`	AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection. CoRR Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, Jimin Liang
2019	J	`jnl`	Instance Segmentation of Auroral Images for Automatic Computation of Arc Width. IEEE Geosci. Remote. Sens. Lett. Chuang Niu, Qiuju Yang, Shenghan Ren, Haihong Hu, Desheng Han, Zejun Hu, Jimin Liang
2019	—	`conf`	Poleward Moving Aurora Recognition with Deep Convolutional Networks. PRCV (2) Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, Jimin Liang
2018	J	`jnl`	DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation. CoRR Chuang Niu, Shenghan Ren, Jimin Liang
2018	J	`jnl`	Weakly Supervised Semantic Segmentation for Joint Key Local Structure Localization and Classification of Aurora Image. IEEE Trans. Geosci. Remote. Sens. Chuang Niu, Jun Zhang, Qian Wang, Jimin Liang