Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain. - Wei Yang 006; Yingyin Chen; Yunbi Liu; Liming Zhong; Genggeng Qin; Zhentai Lu; Qianjin Feng; Wufan Chen (Medical Image Anal., 2017)

Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector. - Wei Yang 006; Yunbi Liu; Liyan Lin; Zhaoqiang Yun; Zhentai Lu; Qianjin Feng; Wufan Chen (IEEE J. Biomed. Health Informatics, 2018)

Bone Suppression of Chest Radiographs With Cascaded Convolutional Networks in Wavelet Domain. - Yingyin Chen; Xiaofang Gou; Xiuxia Feng; Yunbi Liu; Genggeng Qin; Qianjin Feng; Wei Yang 006; Wufan Chen (IEEE Access, 2019)

Automatic delineation of ribs and clavicles in chest radiographs using fully convolutional DenseNets. - Yunbi Liu; Xiao Zhang 026; Guangwei Cai; Yingyin Chen; Zhaoqiang Yun; Qianjin Feng; Wei Yang 006 (Comput. Methods Programs Biomed., 2019)

Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN. - Yunbi Liu; Mingxia Liu 001; Yuhua Xi; Genggeng Qin; Dinggang Shen; Wei Yang 006 (MICCAI (2), 2020)

Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. - Yunbi Liu; Yongsheng Pan; Wei Yang 006; Zhenyuan Ning; Ling Yue; Mingxia Liu 001; Dinggang Shen (MICCAI (7), 2020)

Design of A Multistage Marx Generator topology based on SiC-MOSFET Device for Atomic Probe Tomography Applications. - Kambiz Arab Tehrani; Yunbi Liu; Loïc Rousseau; Antoine Normand; François Vurpillot (SoSE, 2020)

Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction. - Liming Zhong; Yanlin Chen; Xiao Zhang 026; Shupeng Liu; Yuankui Wu; Yunbi Liu; Liyan Lin; Qianjin Feng; Wufan Chen; Wei Yang 006 (IEEE J. Biomed. Health Informatics, 2020)

Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI. - Hao Guan; Yunbi Liu; Shifu Xiao; Ling Yue; Mingxia Liu 001 (MICCAI (5), 2021)

Improving Tuberculosis Recognition on Bone-Suppressed Chest X-Rays Guided by Task-Specific Features. - Yunbi Liu; Genggeng Qin; Yun Liu; Mingxia Liu 001; Wei Yang 006 (PRIME@MICCAI, 2021)

View Identification Assisted Fully Convolutional Network for Lung Field Segmentation of Frontal and Lateral Chest Radiographs. - Yuhua Xi; Liming Zhong; Weijie Xie; Genggeng Qin; Yunbi Liu; Qianjin Feng; Wei Yang 006 (IEEE Access, 2021)

Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. - Hao Guan; Yunbi Liu; Erkun Yang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (Medical Image Anal., 2021)

DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation with Weak Annotations. - Liangdong Qiu; Chongjie Ye; Pei Chen; Yunbi Liu; Xiaoguang Han 001; Shuguang Cui (CVPR, 2022)

A Hybrid Propagation Network for Interactive Volumetric Image Segmentation. - Luyue Shi; Xuanye Zhang; Yunbi Liu; Xiaoguang Han 001 (MICCAI (4), 2022)

Neural architecture search for real-time quality assessment of wearable multi-lead ECG on mobile devices. - Huixin Tan; Jiewei Lai; Yunbi Liu; Yuzhang Song; Jinliang Wang; Mingyang Chen; Yong Yan; Liming Zhong; Qianjin Feng; Wei Yang 006 (Biomed. Signal Process. Control., 2022)

DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation. - Liangdong Qiu; Chongjie Ye; Pei Chen; Yunbi Liu; Xiaoguang Han 001; Shuguang Cui (CoRR, 2022)

Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages. - Yunbi Liu; Ling Yue; Shifu Xiao; Wei Yang 006; Dinggang Shen; Mingxia Liu 001 (Medical Image Anal., 2022)

Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline. - Minhui Yu; Yunbi Liu; Jinjian Wu; Andrea Bozoki; Shijun Qiu; Ling Yue; Mingxia Liu 001 (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction images. - Yunbi Liu; Fengxia Zeng; Mengwei Ma; Bowen Zheng; Zhaoqiang Yun; Genggeng Qin; Wei Yang 006; Qianjin Feng (Comput. Medical Imaging Graph., 2023)

Artifact-aware Digital Subtraction Angiogram Image Generation for Head and Neck Vessels. - Yunbi Liu; Dong Du 002; Shengxian Tu; Wei Yang 006; Shiteng Suo; Xiaoguang Han 001 (BIBM, 2024)

Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence. - Yuncheng Jiang; Chun-Mei Feng 001; Jinke Ren; Jun Wei 006; Zixun Zhang; Yiwen Hu 001; Yunbi Liu; Rui Sun; Xuemei Tang; Juan Du; Xiang Wan; Yong Xu 001; et al. (CoRR, 2024)

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis from Imaging, Clinical, and Radiomic Data Fusion. - Linglong Wu; Xuhao Shan; Ruiquan Ge; Ruoyu Liang; Chi Zhang; Yonghong Li; Ahmed Elazab; Huoling Luo; Yunbi Liu; Changmiao Wang (ISBI, 2025)

Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data. - Yunbi Liu; Dong Du 002; Yun Liu; Shengxian Tu; Wei Yang 006; Xiaoguang Han 001; Shiteng Suo; Qingshan Liu (Comput. Medical Imaging Graph., 2025)

Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline. - Minhui Yu; Yuqi Fang; Yunbi Liu; Andrea C. Bozoki; Shifu Xiao; Ling Yue; Mingxia Liu 001 (Neural Networks, 2025)

TAlignDiff: Automatic Tooth Alignment assisted by Diffusion-based Transformation Learning. - Yunbi Liu; Enqi Tang; Shiyu Li; Lei Ma; Juncheng Li; Shu Lou; Yongchu Pan; Qingshan Liu (CoRR, 2025)