Fei Liu

Deep Learning Radiomics Based on Contrast-Enhanced Ultrasound Might Optimize Curative Treatments for Very-Early or Early-Stage Hepatocellular Carcinoma Patients

Jie Tian, Kun Wang, B. Peng, 2020, Liver Cancer.

Nonsynonymous substitution rate (Ka) is a relatively consistent parameter for defining fast-evolving and slow-evolving protein-coding genes

Jun Yu, Lei Wang, Dapeng Wang, 2011, Biology Direct.

Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging

D. Gu, Jie Tian, Xin Li, 2019, European Radiology.

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound

Jie Tian, Kun Wang, Hui Zhou, 2020, European Radiology.

Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography

Fei Liu, Xin Yang, Jie Tian, 2020, Medical Image Anal..

Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences

Kun Wang, Fei Liu, Xin Yang, 2020, Medical Image Anal..