K. Yin

Two nomograms based on CT features to predict tumor invasiveness of pulmonary adenocarcinoma and growth in pure GGN: a retrospective analysis

Jianlin Wu, Xiaoshuang Ru, Tai-chun Qiu, 2020, Japanese Journal of Radiology.

Predicting benign, preinvasive, and invasive lung nodules on computed tomography scans using machine learning.

J. Pu, R. Dhupar, Qi Wang, 2021, The Journal of thoracic and cardiovascular surgery.

Calcium Scoring at Coronary CT Angiography Using Deep Learning.

U. Schoepf, Youbing Yin, Junjie Bai, 2021, Radiology.

3D convolutional neural network model from contrast-enhanced CT to predict spread through air spaces in non-small cell lung cancer.

Jiuquan Zhang, C. Liang, Jiayang Fang, 2022, Diagnostic and interventional imaging.

Predicting lung adenocarcinoma invasiveness by measurement of pure ground-glass nodule roundness by using multiplanar reformation: a retrospective analysis.

J. Wu, Y. Liang, Z. Zhu, 2021, Clinical radiology.