1.Zhong Liu; Shing-Chow Chan*; Shuai Zhang; Zhiguo Zhang; Xin Chen*; Automatic Muscle Fiber Orientation Tracking in Ultrasound Images Using a New Adaptive Fading Bayesian Kalman Smoother, IEEE Transactions on Image Processing, 2019, 28(8): 3714-3727.
2.Zhong Liu#; Shaobin Zhong#; Qiang Liu; Chenxi Xie; Yunzhu Dai; Chuan Peng; Xin Chen*; Ruhai Zou*; Thyroid nodule recognition using a joint convolutional neural network with information fusion of ultrasound images and radiofrequency data, European Radiology, 2021, 31(7): 5001-5011.
3.Huiying Wen#; Wei Zheng#; Min Li; Qing Li; Qiang Liu; Jianhua Zhou*; Zhong Liu*; Xin Chen*; Multiparametric Quantitative US Examination of Liver Fibrosis: A Feature-engineering and Machine-learning Based Analysis, IEEE Journal of Biomedical and Health Informatics, 2022, 26(2): 715-726.
4.Zhong Liu#; Wei Li#; Ziqi Zhu; Huiying Wen; Ming-de Li; Chao Hou; Hui Shen; Bin Huang; Yudi Luo; Wei Wang*; Xin Chen*; A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis in patients with chronic hepatitis B, European Radiology, 2023, 33(8): 5871-5881.
5.Zhong Liu#; Bin Huang#; Huiying Wen#; Zhicheng Lu; Qicai Huang; Meiqin Jiang; Changfeng Dong; Yingxia Liu; Xin Chen; Haoming Lin*; Automatic Diagnosis of Significant Liver Fibrosis From Ultrasound B-Mode Images Using a Handcrafted-Feature-Assisted Deep Convolutional Neural Network, IEEE Journal of Biomedical and Health Informatics, 2023, 27(10): 4938-4949.
