A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT. - Xinggang Wang; Xianbo Deng; Qing Fu; Qiang Zhou; Jiapei Feng; Hui Ma; Wenyu Liu 001; Chuansheng Zheng (IEEE Trans. Medical Imaging, 2020)

The value of multimodality imaging in diagnosis and treatment of cardiac lipoma. - Shenglei Shu; Hongliang Yuan; Xiangchuang Kong; Jiazheng Wang; Jing Wang; Chuansheng Zheng (BMC Medical Imaging, 2021)

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (Nat. Mach. Intell., 2021)

Deep Learning-Based Optical-Resolution Photoacoustic Microscopy for In Vivo 3D Microvasculature Imaging and Segmentation. - Huangxuan Zhao; Jia Huang; Qiang Zhou; Ningbo Chen; Liangjian Liu; Xinggang Wang; Tao Wang; Leqing Chen; Chengbo Liu; Chuansheng Zheng; Fan Yang (Adv. Intell. Syst., 2022)

Automated total and vessel-specific coronary artery calcium (CAC) quantification on chest CT: direct comparison with CAC scoring on non-contrast cardiac CT. - Jie Yu; Lijuan Qian; Wengang Sun; Zhuang Nie; Dandan Zheng; Ping Han; Heshui Shi; Chuansheng Zheng; Fan Yang (BMC Medical Imaging, 2022)

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (Nat. Mach. Intell., 2022)

Multi-Crop Convolutional Neural Networks for Fast Lung Nodule Segmentation. - Quan Chen; Wei Xie; Pan Zhou 001; Chuansheng Zheng; Dapeng Oliver Wu (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation. - Xian Lin; Zengqiang Yan; Xianbo Deng; Chuansheng Zheng; Li Yu 003 (MICCAI (4), 2023)

TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction. - Zhenghong Zhou; Huangxuan Zhao; Jiemin Fang; Dongqiao Xiang; Lei Chen; Lingxia Wu; Feihong Wu; Wenyu Liu 001; Chuansheng Zheng; Xinggang Wang (CoRR, 2023)

ADSeg: A flap-attention-based deep learning approach for aortic dissection segmentation. - Dongqiao Xiang; Jiyang Qi; Yiqing Wen; Hui Zhao; Xiaolin Zhang; Jia Qin; Xiaomeng Ma; Yaguang Ren; Hongyao Hu; Wenyu Liu 001; Fan Yang; Huangxuan Zhao; et al. (Patterns, 2023)

MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images. - Ziyang Xu; Huangxuan Zhao; Ziwei Cui; Wenyu Liu 001; Chuansheng Zheng; Xinggang Wang (ECAI, 2024)

TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering. - Shuai Zhang; Huangxuan Zhao; Zhenghong Zhou; Guanjun Wu; Chuansheng Zheng; Xinggang Wang; Wenyu Liu 001 (CoRR, 2024)

3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning. - Zhentao Liu; Huangxuan Zhao; Wenhui Qin; Zhenghong Zhou; Xinggang Wang; Wenping Wang 001; Xiaochun Lai; Chuansheng Zheng; Dinggang Shen; Zhiming Cui (CoRR, 2024)

An Adaptive Deconvolution Method with Improve Enhanced Envelope Spectrum and Its Application for Bearing Fault Feature Extraction. - Fengxia He; Chuansheng Zheng; Chao Pang; Chengying Zhao; Mingyang Yang; Yunpeng Zhu; Zhong Luo; Haitao Luo; Lei Li; Haotian Jiang (Sensors, 2024)

From Bench to Bedside: A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice. - Yaowei Bai; Ruiheng Zhang; Yu Lei; Jingfeng Yao; Shuguang Ju; Chaoyang Wang; Wei Yao; Yiwan Guo; Guilin Zhang; Chao Wan; Qian Yuan; Xuhua Duan; et al. (CoRR, 2025)

Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans. - Yusheng Guo; Bingxin Gong; Guowei Jiang; Wang Du; Shuangfeng Dai; Qi Wan; Dongyong Zhu; Chanyuan Liu; Yi Li; Qing Sun; Qianqian Fan; Bo Liang; et al. (BMC Medical Imaging, 2025)

Multi-period prediction of residual lung lesions in COVID-19 survivors with multi-head temporal constrained network. - Xiaoyu Han; Linxia Wu; Xiangkai Wei; Feihong Wu; Siru Kang; Wei Xu; Shouzhang Hu; Ronghua Tian; Huangxuan Zhao; Guangyao Wu; Lei Chen 011; Jia Huang; et al. (Inf. Fusion, 2026)