A theoretical line losses calculation method of distribution system based on boosting algorithm. - Yufei Wang; Chenlong Wang; Jing Wang; Luo Zuo; Yongyi Shi (ICNC-FSKD, 2016)

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss. - Qingsong Yang; Pingkun Yan; Yanbo Zhang; Hengyong Yu; Yongyi Shi; Xuanqin Mou; Mannudeep K. Kalra; Ge Wang 001 (CoRR, 2017)

基于文化基因算法和最小二乘支持向量机的安全数据特征处理方法 (Feature Processing Approach Based on MA-LSSVM in Safety Data). - Yuanyuan Ma; Yongyi Shi; Hong Zhang 021; Qi Lin; Qianmu Li (计算机科学, 2017)

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss. - Qingsong Yang; Pingkun Yan; Yanbo Zhang; Hengyong Yu; Yongyi Shi; Xuanqin Mou; Mannudeep K. Kalra; Yi Zhang 018; Ling Sun 006; Ge Wang 001 (IEEE Trans. Medical Imaging, 2018)

Generative Low-Dose CT Image Denoising. - Qingsong Yang; Pingkun Yan; Yanbo Zhang; Hengyong Yu; Yongyi Shi; Xuanqin Mou; Mannudeep K. Kalra; Yi Zhang 018; Ling Sun 006; Ge Wang 001 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Energy enhanced tissue texture in spectral computed tomography for lesion classification. - Yongfeng Gao; Yongyi Shi; Weiguo Cao; Shu Zhang 006; Zhengrong Liang (Vis. Comput. Ind. Biomed. Art, 2019)

Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization. - Yongyi Shi; Yongfeng Gao; Yanbo Zhang; Junqi Sun; Xuanqin Mou; Zhengrong Liang (IEEE Trans. Medical Imaging, 2020)

Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction". - Ge Wang 001; Mathews Jacob; Xuanqin Mou; Yongyi Shi; Yonina C. Eldar (IEEE Trans. Medical Imaging, 2021)

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity. - Weiguo Cao; Marc Jason Pomeroy; Zhengrong Liang; Yongfeng Gao; Yongyi Shi; Jiaxing Tan; Fangfang Han; Jing Wang 022; Jianhua Ma 001; Hongbin Lu; Almas F. Abbasi; Perry J. Pickhardt (CoRR, 2022)

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

A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT. - Yongfeng Gao; Siming Lu; Yongyi Shi; Shaojie Chang; Hao Zhang 026; Wei Hou; Lihong Li 002; Zhengrong Liang (Sensors, 2023)

Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT. - Yongfeng Gao; Jiaxing Tan; Yongyi Shi; Hao Zhang 026; Siming Lu; Amit Gupta; Haifang Li; Michael Reiter; Zhengrong Liang (IEEE Trans. Medical Imaging, 2023)

Blind CT Image Quality Assessment Using DDPM-Derived Content and Transformer-Based Evaluator. - Yongyi Shi; Wenjun Xia; Ge Wang 001; Xuanqin Mou (IEEE Trans. Medical Imaging, 2024)

Learned Tensor Neural Network Texture Prior for Photon-Counting CT Reconstruction. - Yongyi Shi; Yongfeng Gao; Qiong Xu; Yang Li; Xuanqin Mou; Zhengrong Liang (IEEE Trans. Medical Imaging, 2024)

Low-dose computed tomography perceptual image quality assessment. - Wonkyeong Lee; Fabian Wagner; Adrian Galdran; Yongyi Shi; Wenjun Xia; Ge Wang 001; Xuanqin Mou; Md. Atik Ahamed; Abdullah-Al-Zubaer Imran; Ji Eun Oh; Kyungsang Kim; Jong Tak Baek; et al. (Medical Image Anal., 2025)

Manifold Topological Deep Learning for Biomedical Data. - Xiang Liu; Zhe Su; Yongyi Shi; Yiying Tong; Ge Wang; Guo-Wei Wei 001 (CoRR, 2025)

Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing. - Yongyi Shi; Ge Wang (CoRR, 2025)

Zero-Shot Low-dose CT Denoising via Sinogram Flicking. - Yongyi Shi; Ge Wang (CoRR, 2025)

Xray2Xray: World Model from Chest X-rays with Volumetric Context. - Zefan Yang; Xinrui Song; Xuanang Xu; Yongyi Shi; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (CoRR, 2025)