Lifeng Xu

CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma

Meilin Liu, Xiaopeng He, Yi Wei, 2022, Frontiers in Oncology.

Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images

Meilin Liu, Hai-gang Gong, Minghui Liu, 2022, IEEE Journal of Biomedical and Health Informatics.

Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation of a Prediction Model

Meilin Liu, Xiaopeng He, Yi Wei, 2022, Cancers.

Treatment of acutely ruptured wide-necked intracranial aneurysms using self-expanding stent.

Jianfeng Liu, Hui Li, Di Zhao, 2015, International journal of clinical and experimental medicine.

Self-supervised contrastive learning using CT images for PD-1/PD-L1 expression prediction in hepatocellular carcinoma

Meilin Liu, Yi Wei, Minghui Liu, 2023, Frontiers in Oncology.

Novel Computed-Tomography-Based Transformer Models for the Noninvasive Prediction of PD-1 in Pre-Operative Settings

Meilin Liu, Yi Wei, Zixing Huang, 2023, Cancers.

Using deep learning in pathology image analysis: A novel active learning strategy based on latent representation

Peng Chen, Lifeng Xu, Feng Zhang, 2023, Electronic Research Archive.

Relationship between electrode position of deep brain stimulation and motor symptoms of Parkinson’s disease

Feng Zhang, F. Meng, Jian-Guo Zhang, 2021, BMC Neurology.

Relationship Between Electrode Position and Clinical Efficacy of Subthalamic Nucleus Deep Brain Stimulation and Motor Symptoms of Parkinson's Disease

F. Meng, Jian-Guo Zhang, Ning Wang, 2020 .