DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation. - Chuang Niu; Shenghan Ren; Jimin Liang (CoRR, 2018)

Weakly Supervised Semantic Segmentation for Joint Key Local Structure Localization and Classification of Aurora Image. - Chuang Niu; Jun Zhang 018; Qian Wang 019; Jimin Liang (IEEE Trans. Geosci. Remote. Sens., 2018)

Poleward Moving Aurora Recognition with Deep Convolutional Networks. - Yiping Tang; Chuang Niu; Minghao Dong; Shenghan Ren; Jimin Liang (PRCV (2), 2019)

AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection. - Yiping Tang; Chuang Niu; Minghao Dong; Shenghan Ren; Jimin Liang (CoRR, 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)

GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. - Chuang Niu; Jun Zhang 018; Ge Wang 001; Jimin Liang (ECCV (25), 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 001 (IEEE Access, 2020)

NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search. - Chen Wei; Chuang Niu; Yiping Tang; Jimin Liang (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 001 (CoRR, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Hengyong Yu; Hongming Shan; Shaoyu Wang 002; Wenxiang Cong; Chuang Niu; Pingkun Yan; Vince Vardhanabhuti; Ge Wang 001 (CoRR, 2020)

Noise2Sim - Similarity-based Self-Learning for Image Denoising. - Chuang Niu; Ge Wang 001 (CoRR, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Stabilizing Deep Tomographic Reconstruction. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Task-Oriented Low-Dose CT Image Denoising. - Jiajin Zhang; Hanqing Chao; Xuanang Xu; Chuang Niu; Ge Wang 001; Pingkun Yan (MICCAI (6), 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)

Noise Entangled GAN For Low-Dose CT Simulation. - Chuang Niu; Ge Wang 001; Pingkun Yan; Juergen Hahn; Youfang Lai; Xun Jia; Arjun Krishna; Klaus Mueller 001; Andreu Badal; Kyle J. Myers; Rongping Zeng (CoRR, 2021)

SPICE: Semantic Pseudo-labeling for Image Clustering. - Chuang Niu; Ge Wang 001 (CoRR, 2021)

Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning. - Arjun Krishna; Kedar Bartake; Chuang Niu; Ge Wang 001; Youfang Lai; Xun Jia; Klaus Mueller 001 (CoRR, 2021)

AI-Enabled Ultra-Low-Dose CT Reconstruction. - Weiwen Wu; Chuang Niu; Shadi Ebrahimian; Hengyong Yu; Mannudeep K. Kalra; Ge Wang 001 (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 001 (CoRR, 2021)

X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance. - Chuang Niu; Ge Wang 001 (CoRR, 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 001 (Neural Networks, 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 001 (IEEE Trans. Medical Imaging, 2021)

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 001; Marcelo Andrade da Costa Vieira (CoRR, 2022)

X-ray Dissectography Improves Lung Nodule Detection. - Chuang Niu; Giridhar Dasegowda; Pingkun Yan; Mannudeep K. Kalra; Ge Wang 001 (CoRR, 2022)

Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection. - Chuang Niu; Ge Wang 001 (CoRR, 2022)

Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC). - Chuang Niu; Ge Wang 001 (CoRR, 2022)

HOME: High-Order Mixed-Moment-based Embedding for Representation Learning. - Chuang Niu; Ge Wang 001 (CoRR, 2022)

FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction. - Zilong Li 001; Qi Gao; Yaping Wu; Chuang Niu; Junping Zhang; Meiyun Wang; Ge Wang 001; Hongming Shan (CoRR, 2022)

Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Patterns, 2022)

Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Patterns, 2022)

Discriminative Context-Aware Network for Target Extraction in Remote Sensing Imagery. - Lei Hu; Chuang Niu; Shenghan Ren; Minghao Dong; Changli Zheng; Wei Zhang 239; Jimin Liang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

SPICE: Semantic Pseudo-Labeling for Image Clustering. - Chuang Niu; Hongming Shan; Ge Wang 001 (IEEE Trans. Image Process., 2022)

Development of metaverse for intelligent healthcare. - Ge Wang 001; Andreu Badal; Xun Jia; Jonathan S. Maltz; Klaus Mueller 001; Kyle J. Myers; Chuang Niu; Michael W. Vannier; Pingkun Yan; Zhou Yu; Rongping Zeng (Nat. Mac. Intell., 2022)

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 022; Yudong Yao; Ge Wang 001; Yueyang Teng (CoRR, 2023)

LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring. - Zhihao Chen; Chuang Niu; Ge Wang 001; Hongming Shan (CoRR, 2023)

Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. - Qing Lyu 003; Josh Tan; Michael E. Zapadka; Janardhana Ponnatapura; Chuang Niu; Ge Wang 001; Kyle J. Myers; Christopher T. Whitlow (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 001 (CoRR, 2023)

CT Multi-Task Learning with a Large Image-Text (LIT) Model. - Chuang Niu; Ge Wang 001 (CoRR, 2023)

Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT. - Wenjun Xia; Yongyi Shi; Chuang Niu; Wenxiang Cong; Ge Wang 001 (CoRR, 2023)

IQAGPT: Image Quality Assessment with Vision-language and ChatGPT Models. - Zhihao Chen; Bin Hu; Chuang Niu; Tao Chen 055; Yuxin Li; Hongming Shan; Ge Wang 001 (CoRR, 2023)

Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. - Qing Lyu 003; Josh Tan; Michael E. Zapadka; Janardhana Ponnatapura; Chuang Niu; Kyle J. Myers; Ge Wang 001; Christopher T. Whitlow (Vis. Comput. Ind. Biomed. Art, 2023)

Noise Suppression With Similarity-Based Self-Supervised Deep Learning. - Chuang Niu; Mengzhou Li; Fenglei Fan; Weiwen Wu; Xiaodong Guo; Qing Lyu 003; Ge Wang 001 (IEEE Trans. Medical Imaging, 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., 2023)

Editorial: advances in deep learning techniques for biomedical imaging. - Chuang Niu; Ge Wang 001 (Vis. Comput. Ind. Biomed. Art, 2023)

Low-dose CT Denoising with Language-engaged Dual-space Alignment. - Zhihao Chen; Tao Chen 055; Chenhui Wang; Qi Gao; Chuang Niu; Ge Wang 001; Hongming Shan (BIBM, 2024)

Low-dose CT Denoising with Language-engaged Dual-space Alignment. - Zhihao Chen; Tao Chen 055; Chenhui Wang; Chuang Niu; Ge Wang 001; Hongming Shan (CoRR, 2024)

Deep Few-view High-resolution Photon-counting Extremity CT at Halved Dose for a Clinical Trial. - Mengzhou Li; Chuang Niu; Ge Wang 001; 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; et al. (CoRR, 2024)

3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model. - Chuang Niu; Christopher Wiedeman; Mengzhou Li; Jonathan S. Maltz; Ge Wang 001 (CoRR, 2024)

Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model. - Chuang Niu; Parisa Kaviani; Qing Lyu 003; Mannudeep K. Kalra; Christopher T. Whitlow; Ge Wang 001 (CoRR, 2024)

LIT-Former: Linking In-Plane and Through-Plane Transformers for Simultaneous CT Image Denoising and Deblurring. - Zhihao Chen; Chuang Niu; Qi Gao; Ge Wang 001; Hongming Shan (IEEE Trans. Medical Imaging, 2024)

Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction. - Zilong Li 001; Qi Gao; Yaping Wu; Chuang Niu; Junping Zhang; Meiyun Wang; Ge Wang 001; Hongming Shan (IEEE Trans. Medical Imaging, 2024)

A Denoising Diffusion Probabilistic Model for Metal Artifact Reduction in CT. - Grigorios M. Karageorgos; Jiayong Zhang; Nils Peters; Wenjun Xia; Chuang Niu; Harald Paganetti; Ge Wang 001; Bruno De Man (IEEE Trans. Medical Imaging, 2024)

IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models. - Zhihao Chen; Bin Hu; Chuang Niu; Tao Chen 055; Yuxin Li; Hongming Shan; Ge Wang 001 (Vis. Comput. Ind. Biomed. Art, 2024)

Flipover outperforms dropout in deep learning. - Yuxuan Liang; Chuang Niu; Pingkun Yan; Ge Wang 001 (Vis. Comput. Ind. Biomed. Art, 2024)

Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning. - Chuang Niu; Wenjun Xia; Hongming Shan; Ge Wang 001 (CoRR, 2025)

Tomographic Foundation Model - FORCE: Flow-Oriented Reconstruction Conditioning Engine. - Wenjun Xia; Chuang Niu; Ge Wang 001 (CoRR, 2025)

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models. - Zhihao Chen; Tao Chen 055; Chenhui Wang; Qi Gao; Huidong Xie; Chuang Niu; Ge Wang 001; Hongming Shan (CoRR, 2025)