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Journal Articles
- 2022
[j5]Xiaowen Dai
, Yuan Xu, Haodi Qiu, Xu Qian, Mingde Lin, Lin Luo, Yang Zhao, Dingfang Huang, Yanmin Zhang, Yadong Chen, Haichun Liu, Yulei Jiang:
KID: A Kinase-Focused Interaction Database and Its Application in the Construction of Kinase-Focused Molecule Databases. J. Chem. Inf. Model. 62(23): 6022-6034 (2022)- [j4]Xiaoming Chen, Yuchuan Zhu, Travis Wiens, Doug Bitner, Minghao Tai, Yulei Jiang:
Investigation of suction flow characteristic in the inertance hydraulic converters for efficiency improvement. J. Syst. Control. Eng. 236(1) (2022) - 2021
- [j3]Qiang Gao, Yuchuan Zhu, Changwen Wu, Yulei Jiang:
Identification of critical moving characteristics in high speed on/off valve based on time derivative of the coil current. J. Syst. Control. Eng. 235(7) (2021) - 2005
- [j2]Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Yulei Jiang:
A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications. IEEE Trans. Medical Imaging 24(3): 371-380 (2005) - 2003
- [j1]Yulei Jiang:
Uncertainty in the Output of Artificial Neural Networks. IEEE Trans. Medical Imaging 22(7): 913-921 (2003)
Conference and Workshop Papers
- 2018
- [c14]Liyan Wang, Jing Liu, Yulei Jiang:
Image Segmentation of LBF Model with Variable Coefficient Regularized Area Term. CSPS (2) 2018: 227-235 - 2014
- [c13]Yonglin Pu, Michael J. Baad, Yulei Jiang, Yisheng Chen:
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 2014: 225-230 - [c12]Yahui Peng, Yulei Jiang, Aytekin Oto:
Reference-tissue correction of T2-weighted signal intensity for prostate cancer detection. Medical Imaging: Computer-Aided Diagnosis 2014: 903508 - 2013
- [c11]Yahui Peng, Yulei Jiang, Tatjana Antic, Maryellen L. Giger, Scott Eggener, Aytekin Oto:
A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer. Medical Imaging: Computer-Aided Diagnosis 2013: 86701H - 2012
- [c10]Yahui Peng, Yulei Jiang, Vladimir M. Liarski, Natalya Kaverina, Marcus R. Clark, Maryellen L. Giger:
Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy. Medical Imaging: Computer-Aided Diagnosis 2012: 83153F - 2011
- [c9]Yahui Peng, Yulei Jiang, Laurie Eisengart, Mark A. Healy, Francis H. Straus, Ximing J. Yang:
Segmentation of prostatic glands in histology images. ISBI 2011: 2091-2094 - 2009
- [c8]Yulei Jiang, Richard M. Zur, Lorenzo L. Pesce, Karen Drukker:
A study of the effect of noise injection on the training of artificial neural networks. IJCNN 2009: 1428-1432 - 2007
- [c7]Yulei Jiang:
Uncertainty in the Output of Artificial Neural Networks. IJCNN 2007: 2551-2556 - 2005
- [c6]Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Yulei Jiang:
A study of several CAD methods for classification of clustered microcalcifications. Medical Imaging: Image Processing 2005 - 2003
- [c5]Sophie Paquerault, Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt, Carl J. D'Orsi, Carl J. Vyborny, Gillian M. Newstead:
Automated selection of BI-RADS lesion descriptors for reporting calcifications in mammograms. Medical Imaging: Image Processing 2003 - 2002
- [c4]Robert M. Nishikawa, Maria Fernanda Salfity, Yulei Jiang, John Papaioannou:
Improving the automated classification of clustered calcifications on mammograms through the improved detection of individual calcifications. Medical Imaging: Image Processing 2002 - 2001
- [c3]Darrin C. Edwards, John Papaioannou, Yulei Jiang, Matthew A. Kupinski, Robert M. Nishikawa:
Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network. Medical Imaging: Image Processing 2001 - 1998
- [c2]Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt, Charles E. Metz, Maryellen L. Giger, Kunio Doi:
Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications. Digital Mammography / IWDM 1998: 215-220 - [c1]Yulei Jiang, Robert M. Nishikawa, John Papaioannou:
Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications. Medical Imaging: Image Processing 1998
Coauthor Index
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