Jingbo Yang

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MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models pdf

Andrew Y. Ng, Pranav Rajpurkar, Hari Sowrirajan, 2020, MIDL.

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Mammography-Based Radiomics Method

Xiaobo Zhou, Jie Tian, Liyu Huang, 2019, Scientific Reports.

Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients

Xiaobo Zhou, Tao Wang, Jie Tian, 2018, European Radiology.

Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression

Arielle S. Keller, A. Ng, Pranav Rajpurkar, 2020, JAMA network open.

Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial

Arielle S. Keller, Pranav Rajpurkar, Jingbo Yang, 2020 .

Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging.

Jie Tian, Jingbo Yang, Xiaobo Zhou, 2019, European journal of radiology.

MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models

A. Ng, Hari Sowrirajan, Jingbo Yang, 2020, 2010.05352.

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Mammography-Based Radiomics Method

Jingbo Yang, Jie Tian, Xiaobo Zhou, 2019, Scientific Reports.

Hepatitis C Risk Prediction Based on Adaboost

Jingbo Yang, 2023, Highlights in Science, Engineering and Technology.