Quantitative assessment of interstitial lung disease based on RDNet convolutional network. - Fan Hou; Cai Zhao; Ningling Su; Jiening Wang; Linning E; Wen Zheng (BIBM, 2022)

Transformer based multiple superpixel-instance learning for weakly supervised segmenting lesions of interstitial lung disease. - Yexin Lai; Xueyu Liu; Linning E; Yujing Cheng; Shuyan Liu; Yongfei Wu; Wen Zheng (Expert Syst. Appl., 2024)

A computed tomography-based deep learning radiomics model for predicting the gender-age-physiology stage of patients with connective tissue disease-associated interstitial lung disease. - Bingqing Long; Rui Li; Ronghua Wang; Anyu Yin; Ziyi Zhuang; Yang Jing; Linning E (Comput. Biol. Medicine, 2025)