Shu Zhang

Energy enhanced tissue texture in spectral computed tomography for lesion classification

Zhengrong Liang, Yongfeng Gao, Yongyi Shi, 2019, Visual Computing for Industry, Biomedicine, and Art.

An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets

Wei Hou, Zhengrong Liang, Weiguo Cao, 2019, Comput. Medical Imaging Graph..

Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning

Zhengrong Liang, Fangfang Han, Wei Qian, 2020, Journal of Digital Imaging.

Spectral CT Inspired Data Engineering for Colon Polyp Classification

Marc J. Pomeroy, Zhengrong Liang, P. Pickhardt, 2019, Nuclear Science Symposium and Medical Imaging Conference.

A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps

Shu Zhang, Jiaxing Tan, Zhengrong Liang, 2020, Medical Imaging.

An Adaptive Boosting Strategy for GLCM-CNN Model in Differentiating the Malignant from Benign Polyps

Shu Zhang, Yongfeng Gao, Zhengrong Liang, 2019, 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Energy enhanced tissue texture in spectral computed tomography for lesion classification

Shu Zhang, Yongyi Shi, Zhengrong Liang, 2019, Visual Computing for Industry, Biomedicine, and Art.