Yulei Jiang

According to our database, Yulei Jiang authored at least 18 papers between 1998 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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, Dingfang Huang, Yanmin Zhang, Yadong Chen, Haichun Liu, Yulei Jiang

J. Chem. Inf. Model., 2022

2021

Identification of critical moving characteristics in high speed on/off valve based on time derivative of the coil current.

Qiang Gao, Yuchuan Zhu, Changwen Wu, Yulei Jiang

J. Syst. Control. Eng., 2021

2018

Image Segmentation of LBF Model with Variable Coefficient Regularized Area Term.

Liyan Wang, Jing Liu, Yulei Jiang

Proceedings of the Communications, Signal Processing, and Systems, 2018

2014

Reference-tissue correction of T2-weighted signal intensity for prostate cancer detection.

Yahui Peng, Yulei Jiang, Aytekin Oto

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

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

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

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

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012

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

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011

Segmentation of prostatic glands in histology images.

Yahui Peng, Yulei Jiang, Laurie Eisengart, Mark A. Healy, Francis H. Straus, Ximing J. Yang

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2009

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

Proceedings of the International Joint Conference on Neural Networks, 2009

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 several CAD methods for classification of clustered microcalcifications.

Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Yulei Jiang

Proceedings of the Medical Imaging 2005: Image Processing, 2005

2003

Uncertainty in the Output of Artificial Neural Networks.

Yulei Jiang

IEEE Trans. Medical Imaging, 2003

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

Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002

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

Proceedings of the Medical Imaging 2002: Image Processing, 2002

2001

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

Proceedings of the Medical Imaging 2001: Image Processing, 2001

1998

Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications.

Yulei Jiang, Robert M. Nishikawa, John Papaioannou

Proceedings of the Medical Imaging 1998: Image Processing, 1998

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

Proceedings of the Digital Mammography, 1998