Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications. - Yulei Jiang; Robert M. Nishikawa; Robert A. Schmidt; Charles E. Metz; Maryellen L. Giger; Kunio Doi (Digital Mammography / IWDM, 1998)

Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications. - Yulei Jiang; Robert M. Nishikawa; John Papaioannou (Image Processing, 1998)

Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network. - Darrin C. Edwards; John Papaioannou; Yulei Jiang; Matthew A. Kupinski; Robert M. Nishikawa (Image Processing, 2001)

Improving the automated classification of clustered calcifications on mammograms through the improved detection of individual calcifications. - Robert M. Nishikawa; Maria Fernanda Salfity; Yulei Jiang; John Papaioannou (Image Processing, 2002)

Automated selection of BI-RADS lesion descriptors for reporting calcifications in mammograms. - Sophie Paquerault; Yulei Jiang; Robert M. Nishikawa; Robert A. Schmidt; Carl J. D'Orsi; Carl J. Vyborny; Gillian M. Newstead (Image Processing, 2003)

Uncertainty in the Output of Artificial Neural Networks. - Yulei Jiang (IEEE Trans. Medical Imaging, 2003)

A study of several CAD methods for classification of clustered microcalcifications. - Liyang Wei; Yongyi Yang; Robert M. Nishikawa; Yulei Jiang (Image Processing, 2005)

A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications. - Liyang Wei; Yongyi Yang; Robert M. Nishikawa; Yulei Jiang (IEEE Trans. Medical Imaging, 2005)

A study of the effect of noise injection on the training of artificial neural networks. - Yulei Jiang; Richard M. Zur; Lorenzo L. Pesce; Karen Drukker (IJCNN, 2009)

Segmentation of prostatic glands in histology images. - Yahui Peng; Yulei Jiang; Laurie Eisengart; Mark A. Healy; Francis H. Straus; Ximing J. Yang (ISBI, 2011)

Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy. - Yahui Peng; Yulei Jiang; Vladimir M. Liarski; Natalya Kaverina; Marcus R. Clark; Maryellen L. Giger (Computer-Aided Diagnosis, 2012)

A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer. - Yahui Peng; Yulei Jiang; Tatjana Antic; Maryellen L. Giger; Scott Eggener; Aytekin Oto (Computer-Aided Diagnosis, 2013)

Application of artificial neural network and multiple linear regression models for predicting survival time of patients with non-small cell cancer using multiple prognostic factors including FDG-PET measurements. - Yonglin Pu; Michael J. Baad; Yulei Jiang; Yisheng Chen (IJCNN, 2014)

Reference-tissue correction of T2-weighted signal intensity for prostate cancer detection. - Yahui Peng; Yulei Jiang; Aytekin Oto (Computer-Aided Diagnosis, 2014)

Image Segmentation of LBF Model with Variable Coefficient Regularized Area Term. - Liyan Wang; Jing Liu; Yulei Jiang (CSPS (2), 2018)

Identification of critical moving characteristics in high speed on/off valve based on time derivative of the coil current. - Qiang Gao 011; Yuchuan Zhu; Changwen Wu; Yulei Jiang (J. Syst. Control. Eng., 2021)

KID: A Kinase-Focused Interaction Database and Its Application in the Construction of Kinase-Focused Molecule Databases. - Xiaowen Dai; Yuan Xu; Haodi Qiu; Xu Qian; Mingde Lin; Lin Luo; Yang Zhao 017; Dingfang Huang; Yanmin Zhang; Yadong Chen 001; Haichun Liu; Yulei Jiang (J. Chem. Inf. Model., 2022)

Investigation of suction flow characteristic in the inertance hydraulic converters for efficiency improvement. - Xiaoming Chen; Yuchuan Zhu; Travis Wiens; Doug Bitner; Minghao Tai; Yulei Jiang (J. Syst. Control. Eng., 2022)