Yulei Jiang

19 papers B 8Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2022 J jnl
Investigation of suction flow characteristic in the inertance hydraulic converters for efficiency improvement.
J. Syst. Control. Eng.
Xiaoming Chen, Yuchuan Zhu, Travis Wiens, Doug Bitner, Minghao Tai, Yulei Jiang
2022 J jnl
KID: A Kinase-Focused Interaction Database and Its Application in the Construction of Kinase-Focused Molecule Databases.
J. Chem. Inf. Model.
Xiaowen Dai, Yuan Xu, Haodi Qiu, Xu Qian, MingDe Lin, Lin Luo, Yang Zhao, Dingfang Huang, Yanmin Zhang, Yadong Chen, Haichun Liu, Yulei Jiang
2021 J jnl
Identification of critical moving characteristics in high speed on/off valve based on time derivative of the coil current.
J. Syst. Control. Eng.
Qiang Gao, Yuchuan Zhu, Changwen Wu, Yulei Jiang
2018 — conf
Image Segmentation of LBF Model with Variable Coefficient Regularized Area Term.
CSPS (2)
Liyan Wang, Jing Liu, Yulei Jiang
2014 B conf
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.
IJCNN
Yonglin Pu, Michael J. Baad, Yulei Jiang, Yisheng Chen
2014 — conf
Reference-tissue correction of T2-weighted signal intensity for prostate cancer detection.
Computer-Aided Diagnosis
Yahui Peng, Yulei Jiang, Aytekin Oto
2013 — conf
A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer.
Computer-Aided Diagnosis
Yahui Peng, Yulei Jiang, Tatjana Antic, Maryellen L. Giger, Scott Eggener, Aytekin Oto
2012 — conf
Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy.
Computer-Aided Diagnosis
Yahui Peng, Yulei Jiang, Vladimir M. Liarski, Natalya Kaverina, Marcus R. Clark, Maryellen L. Giger
2011 — conf
Segmentation of prostatic glands in histology images.
ISBI
Yahui Peng, Yulei Jiang, Laurie Eisengart, Mark A. Healy, Francis H. Straus, Ximing J. Yang
2009 B conf
A study of the effect of noise injection on the training of artificial neural networks.
IJCNN
Yulei Jiang, Richard M. Zur, Lorenzo L. Pesce, Karen Drukker
2007 B conf
Uncertainty in the Output of Artificial Neural Networks.
IJCNN
Yulei Jiang
2005 B conf
A study of several CAD methods for classification of clustered microcalcifications.
Image Processing
Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Yulei Jiang
2005 J jnl
A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications.
IEEE Trans. Medical Imaging
Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Yulei Jiang
2003 B conf
Automated selection of BI-RADS lesion descriptors for reporting calcifications in mammograms.
Image Processing
Sophie Paquerault, Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt, Carl J. D'Orsi, Carl J. Vyborny, Gillian M. Newstead
2003 J jnl
Uncertainty in the Output of Artificial Neural Networks.
IEEE Trans. Medical Imaging
Yulei Jiang
2002 B conf
Improving the automated classification of clustered calcifications on mammograms through the improved detection of individual calcifications.
Image Processing
Robert M. Nishikawa, Maria Fernanda Salfity, Yulei Jiang, John Papaioannou
2001 B conf
Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network.
Image Processing
Darrin C. Edwards, John Papaioannou, Yulei Jiang, Matthew A. Kupinski, Robert M. Nishikawa
1998 — conf
Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications.
Digital Mammography / IWDM
Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt, Charles E. Metz, Maryellen L. Giger, Kunio Doi
1998 B conf
Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications.
Image Processing
Yulei Jiang, Robert M. Nishikawa, John Papaioannou