Applying a radiomics approach to predict prognosis of lung cancer patients. - Nastaran Emaminejad; Shiju Yan; Yunzhi Wang 002; Wei Qian 001; Yubao Guan; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology. - Yuchen Qiu; Yunzhi Wang 002; Shiju Yan; Maxine Tan; Samuel Cheng 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study. - Yuchen Qiu; Shiju Yan; Maxine Tan; Samuel Cheng 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction. - Shiju Yan; Yunzhi Wang 002; Faranak Aghaei; Yuchen Qiu; Bin Zheng 001 (Int. J. Comput. Assist. Radiol. Surg., 2017)

A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms. - Kaiming Yin; Shiju Yan; Chengli Song; Bin Zheng 001 (Int. J. Comput. Assist. Radiol. Surg., 2019)

Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer's disease. - Jingwen Sun; Shiju Yan; Chengli Song; Baosan Han (Int. J. Comput. Assist. Radiol. Surg., 2020)

Detection of microaneurysms and hemorrhages based on improved Hessian matrix. - Linying Yang; Shiju Yan; Yuanzhi Xie (Int. J. Comput. Assist. Radiol. Surg., 2021)

Automatic diagnosis of pneumothorax with M-mode ultrasound images based on D-MPL. - Tao Zhang; Shiju Yan; Gaofeng Wei; Linying Yang; Tianxiang Yu; Yibo Ma (Int. J. Comput. Assist. Radiol. Surg., 2023)