[1] Liming Zhong#, Zeli Chen#, Hai Shu, Kaiyi Zheng, Yin Li, Weicui Chen, Yuankui Wu, Jianhua Ma, Qianjin Feng, Wei Yang*. Multi-Scale Tokens-Aware Transformer Network for Multi-Region and Multi-Sequence MR-to-CT Synthesis in a Single Model, IEEE Transactions on Medical Imaging, 2024, 43(2): 794-806. (IF: 10.6, DOI: 10.1109/TMI.2023.3321064)
[2] Hongjie Xin#, Yiwen Zhang#, Qianwei Lai, Naying Liao, Jing Zhang, Yanping Liu, Zhihua Chen, Pengyuan He, Jian He, Junwei Liu, Yuchen Zhou, Wei Yang*, Yuanping Zhou*. Automatic origin prediction of liver metastases via hierarchical artificial-intelligence system trained on multiphasic CT data: a retrospective, multicentre study, eClinicalMedicine, 2024, 69: 102464. (IF: 15.1, DOI: 10.1016/j.eclinm.2024.102464)
[3] Jiewei Lai, Huixin Tan, Jinliang Wang, Lei Ji, Jun Guo, Baoshi Han, Yajun Shi, Qianjin Feng*, Wei Yang*, Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset, Nature Communications, June 2023, 14: 3741. (IF: 16.6, DOI: 10.1038/s41467-023-39472-8)
[4] Liming Zhong, Zeli Chen, Hai Shu, Yikai Zheng, Yiwen Zhang, Yuankui Wu, Qianjin Feng, Yin Li*, Wei Yang*. QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration, Medical Image Analysis, Jan. 2023, 83: 102692. (IF: 13.8, DOI: 10.1016/j.media.2022.102692)
[5] Yiwen Zhang#, Chuanpu Li#, Zhenhui Dai, Liming Zhong, Xuetao Wang*, Wei Yang*. Breath-hold CBCT-guided CBCT-to-CT Synthesis via Multimodal Unsupervised Representation Disentanglement Learning, IEEE Transactions on Medical Imaging, 2023, 42(8): 2313-2324. (IF: 11.0, DOI: 10.1109/TMI.2023.3247759)
[6] Wei Yang#, Liming Zhong#, Yang Chen, Liyan Lin, Zhentai Lu, Shupeng Liu, Yao Wu, Qianjin Feng*, Wufan Chen. Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors, IEEE Transactions on Medical Imaging, Apr. 2018, 37(4): 977-987. (IF: 11.0, DOI: 10.1109/TMI.2018.2790962)
[7] Yiwen Zhang#, Liming Zhong#, Hai Shu, Zhenhui Dai, Kaiyi Zheng, Zefeiyun Chen, Qianjin Feng, Xuetao Wang*, Wei Yang*. Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-At-Risk. IEEE Transactions on Artificial Intelligence, 2023, 4(5): 1246-1257. (DOI: 10.1109/TAI.2022.3187388)
[8] Liming Zhong, Yanlin Chen, Xiao Zhang, Shupeng Liu, Yuankui Wu, Yunbi Liu, Liyan Lin, Qianjin Feng*, Wufan Chen, Wei Yang*. Flexible Prediction of CT Images from MRI Data through Improved Neighborhood Anchored Regression for PET Attenuation Correction, IEEE Journal of Biomedical and Health Informatics, April 2020, 24(4):1114-1124. (IF: 7.02, DOI: 10.1109/JBHI.2019.2927368)
[9] Wei Yang, Yingyin Chen, Yunbi Liu, Liming Zhong, Genggeng Qin, Zhentai Lu, Qianjin Feng*, Wufan Chen. Cascade of Multi-Scale Convolutional Neural Networks for Bone Suppression of Chest Radiographs in Gradient Domain, Medical Image Analysis, Jan. 2017, 35: 421-433. (IF: 13.8, DOI: 10.1016/j.media.2016.08.004)
[10] Wei Yang, Yunbi Liu, Liyan Lin, Zhaoqiang Yun, Zhentai Lu, Qianjin Feng*, Wufan Chen. Lung Field Segmentation in Chest Radiographs from Boundary Maps by a Structured Edge Detector, IEEE Journal of Biomedical and Health Informatics, 2018, 22(3): 842-851. (IF: 7.02, DOI: 10.1109/JBHI.2017.2687939)
[11] Yunbi Liu, Xiao Zhang, Guangwei Cai, Yingyin Chen, Zhaoqiang Yun, Qianjin, Feng, Wei Yang*. Automatic delineation of ribs and clavicles in chest radiographs using fully convolutional DenseNets, Computer Methods and Programs in Biomedicine, Oct. 2019, 180: 105014. (IF: 7.03, DOI: 10.1016/j.cmpb.2019.105014)
[12] Haiyan Du, Li Ling, Wei Yu, Peng Wu, Yuan Yang, Miao Chu, Junqing Yang, Wei Yang*, Shengxian Tu*. Convolutional networks for the segmentation of intravascular ultrasound images: Evaluation on a multicenter dataset, Computer Methods and Programs in Biomedicine, 2022(215): 106599. (IF: 7.03, DOI: 10.1016/j.cmpb.2021.106599)
[13] Xiao Zhang, Liming Zhong, Bin Zhang, Lu Zhang, Haiyan Du, Lijun Lu, Shuixing Zhang*, Wei Yang*, Qianjin Feng. The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups, Cancer Imaging, 2019, 19: 89. (IF: 5.6, DOI: 10.1186/s40644-019-0276-7)
[14] Yunbi Liu, Mingxia Liu*, Yuhua Xi, Genggeng Qin, Dinggang Shen, Wei Yang*. Generating Dual-energy Subtraction Soft-tissue Images from Chest Radiographs via Bone Edge-guided GAN, MICCAI 2020, Oct. 2020.
[15] Yiwen Zhang#, Chengguang Hu#, Liming Zhong, Yangda Song, Jiarun Sun, Meng Li, Lin Dai, Yuanping Zhou*, Wei Yang*. Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma Based on Longitudinal Ultrasound Images, MICCAI 2022, Oct. 2022.