Low-Dose and Scatter-Free Cone-Beam CT Imaging Using a Stationary Beam Blocker in a Single Scan: Phantom Studies. - Xue Dong; Michael Petrongolo; Tianye Niu; Lei Zhu 001 (Comput. Math. Methods Medicine, 2013)

Joint CT/CBCT deformable registration and CBCT enhancement for cancer radiotherapy. - Yifei Lou; Tianye Niu; Xun Jia; Patricio A. Vela; Lei Zhu 001; Allen R. Tannenbaum (Medical Image Anal., 2013)

Incorporating entrepreneurship topic into a mobile computing course. - Xiaoyuan Suo; Tianye Niu (FIE, 2014)

Mathematical Methods and Applications in Medical Imaging. - Liang Li; Tianye Niu; Seungryong Cho; Zhentian Wang (Comput. Math. Methods Medicine, 2014)

Mathematical Methods and Applications in Medical Imaging 2014. - Liang Li; Tianye Niu; Yi Gao (Comput. Math. Methods Medicine, 2015)

Methodology for Registration of Shrinkage Tumors in Head-and-Neck CT Studies. - Jianhua Wang; Jianrong Dai; Yongjie Jing; Yanan Huo; Tianye Niu (Comput. Math. Methods Medicine, 2015)

Integrating Encryption and Marking for Remote Sensing Image Based on Orthogonal Decomposition. - Li Jiang; Tianye Niu; Zhengquan Xu; Yanyan Xu 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

A Novel Deep Learning Framework for Internal Gross Target Volume Definition From 4D Computed Tomography of Lung Cancer Patients. - Xiadong Li; Ziheng Deng; Qinghua Deng; Lidan Zhang; Tianye Niu; Yu Kuang (IEEE Access, 2018)

Three-Dimensional Weighting in Cone Beam FBP Reconstruction and Its Transformation Over Geometries. - Shaojie Tang 002; Kuidong Huang; Yunyong Cheng; Tianye Niu; Xiangyang Tang (IEEE Trans. Biomed. Eng., 2018)

Image-domain multi-material decomposition for dual-energy CT with non-convex sparsity regularization. - Qihui Lyu; Daniel O'Connor; Tianye Niu; Ke Sheng (Image Processing, 2019)

Quantitative Cone-Beam CT Imaging in Radiotherapy: Parallel Computation and Comprehensive Evaluation on the TrueBeam System. - Xiaokun Liang; Yangkang Jiang; Yaoqin Xie; Tianye Niu (IEEE Access, 2019)

Cone-Beam Computed Tomography Deblurring Using an Overrelaxed Chambolle-Pock Algorithm. - Chen Luo; Qiao Liu; Shutao Gong; Chunlin Yang; Xiuhua Hu; Ke Nie; Tianye Niu (IEEE Access, 2019)

Pulmonary Nodule Detection in Volumetric Chest CT Scans Using CNNs-Based Nodule-Size-Adaptive Detection and Classification. - Jun Wang 072; Jiawei Wang; Yaofeng Wen; Hongbing Lu; Tianye Niu; Jiangfeng Pan; Dahong Qian (IEEE Access, 2019)

Accurate Multi-Material Decomposition in Dual-Energy CT: A Phantom Study. - Yi Xue; Xiaonan Sun; Xiuhua Hu; Ke Sheng; Tianye Niu; Yangkang Jiang; Chunlin Yang; Qihui Lyu; Jing Wang; Chen Luo; Luhan Zhang; Catherine Desrosiers; et al. (IEEE Trans. Computational Imaging, 2019)

Robust Beam Hardening Artifacts Reduction for Computed Tomography Using Spectrum Modeling. - Wei Zhao 029; Dengwang Li; Kai Niu 001; Wenjian Qin; Hao Peng 014; Tianye Niu (IEEE Trans. Computational Imaging, 2019)

Noise Suppression in Image-Domain Multi-Material Decomposition for Dual-Energy CT. - Yangkang Jiang; Xiaoqun Zhang; Ke Sheng; Tianye Niu; Yi Xue; Qihui Lyu; Lei Xu; Chen Luo; Pengfei Yang; Chunlin Yang; Jing Wang; Xi Hu (IEEE Trans. Biomed. Eng., 2020)

Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint. - Yi Xue; Wenjian Qin; Chen Luo; Pengfei Yang; Yangkang Jiang; Tiffany Tsui; Hongjian He; Li Wang 033; Jiale Qin; Yaoqin Xie; Tianye Niu (IEEE Trans. Medical Imaging, 2021)

High-Quality 4D-CBCT Imaging from Single Routine Scan. - Huihui Li; Pengfei Yang; Xin Ge; Tianye Niu (MIUA, 2022)

Improved GAN: Using a transformer module generator approach for material decomposition. - Guoshuai Wang; Zhou Liu; Zhengyong Huang; Na Zhang 001; Honghong Luo; Lijian Liu; Hao Shen; Canwen Che; Tianye Niu; Dong Liang 001; Dehong Luo; Zhanli Hu (Comput. Biol. Medicine, 2022)

ISA-Net: Improved spatial attention network for PET-CT tumor segmentation. - Zhengyong Huang; Sijuan Zou; Guoshuai Wang; Zixiang Chen; Hao Shen; Haiyan Wang; Na Zhang 001; Lu Zhang; Fan Yang 049; Haining Wang; Dong Liang 001; Tianye Niu; et al. (Comput. Methods Programs Biomed., 2022)

MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis. - Weiqin Zhao; Shujun Wang; Maximus C. F. Yeung; Tianye Niu; Lequan Yu (AAAI, 2023)

Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning. - Pengfei Yang; Xin Ge; Tiffany Tsui; Xiaokun Liang; Yaoqin Xie; Zhanli Hu; Tianye Niu (IEEE Trans. Medical Imaging, 2023)

An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation. - Xiaokun Liang; Jingjing Dai; Xuanru Zhou; Lin Liu; Chulong Zhang; Yuming Jiang 005; Na Li; Tianye Niu; Yaoqin Xie; Zhenhui Dai; Xuetao Wang (J. Digit. Imaging, 2023)

PNMC: Four-dimensional conebeam CT reconstruction combining prior network and motion compensation. - Zhengwei Ou; Jiayi Xie; Ze Teng; Xianghong Wang; Peng Jin; Jichen Du; Mingchao Ding; Huihui Li; Yang Chen; Tianye Niu (Comput. Biol. Medicine, 2024)

Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network. - Baiying Lei; Yafeng Li; Wanyi Fu; Peng Yang 011; Shaobin Chen; Tianfu Wang 001; Xiaohua Xiao; Tianye Niu; Yu Fu; Shuqiang Wang; Hongbin Han; Jing Qin 001 (Medical Image Anal., 2024)

DER-GAN: Dual-Energy Recovery GAN for Conebeam CT. - Jiajun Xiang; Aihua Mao; Jiayi Xie; Hongbin Han; Xianghong Wang; Peng Jin; Jichen Du; Mingchao Ding; Lequan Yu; Tianye Niu (IEEE Trans. Computational Imaging, 2024)

UBES: Unified scatter correction using ultrafast Boltzmann equation solver for conebeam CT. - Tianye Niu; Lei Xu; Qing Ren; Yajuan Gao; Chen Luo; Ze Teng; Jichen Du; Mingchao Ding; Jiayi Xie; Hongbin Han; Yin Jiang (Comput. Biol. Medicine, 2024)

Clip-Driven Universal Model for Multi-Material Decomposition in Dual-Energy CT. - Xianghong Wang; Jiajun Xiang; Aihua Mao; Jiayi Xie; Peng Jin; Mingchao Ding; Yixuan Yuan; Yanye Lu; Lequan Yu; Hongmin Cai; Baiying Lei; Tianye Niu (IEEE Trans. Computational Imaging, 2025)

LLM-Guided Decoupled Probabilistic Prompt for Continual Learning in Medical Image Diagnosis. - Yiwen Luo; Wuyang Li; Cheng Chen; Xiang Li 001; Tianming Liu 001; Tianye Niu; Yixuan Yuan (IEEE Trans. Medical Imaging, 2025)