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Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation.

M. Gao, H. Jiang, D. Zhang, H. Ma, and W. Qian. EMBC, page 6255-6258. IEEE, (2019)

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Hongyang Wang

Hongyang Zhao

Hongyang Liu

Hongyang Qu

Ping Jiang

Other publications of authors with the same name

A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification.H. Jiang, J. Xu, R. Shi, K. Yang, D. Zhang, M. Gao, H. Ma, and W. Qian. EMBC, page 1560-1563. IEEE, (2020)A Novel Indicator for Cuff-Less Blood Pressure Estimation Based on Photoplethysmography.H. Jiang, F. Miao, M. Gao, X. Hong, Q. He, H. Ma, and Y. Li. HIS, volume 10038 of Lecture Notes in Computer Science, page 119-128. (2016)Content-based retrieval for lung nodule diagnosis using learned distance metric.G. Wei, H. Ma, W. Qian, H. Jiang, and X. Zhao. EMBC, page 3910-3913. IEEE, (2017)Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation.M. Gao, H. Jiang, D. Zhang, H. Ma, and W. Qian. EMBC, page 6255-6258. IEEE, (2019)DCAMIL: Eye-tracking guided dual-cross-attention multi-instance learning for refining fundus disease detection.H. Jiang, M. Gao, J. Huang, C. Tang, X. Zhang, and J. Liu. Expert Syst. Appl., (2024)SLIVER: Unveiling large scale gene regulatory networks of single-cell transcriptomic data through causal structure learning and modules aggregation.H. Jiang, Y. Wang, C. Yin, H. Pan, L. Chen, K. Feng, Y. Chang, and H. Sun. Comput. Biol. Medicine, (2024)Gene regulatory network inference based on causal discovery integrating with graph neural network.K. Feng, H. Jiang, C. Yin, and H. Sun. Quant. Biol., 11 (4): 434-450 (December 2023)Neonatal Fundus Image Registration and Mosaic Using Improved Speeded Up Robust Features Based on Shannon Entropy.H. Jiang, M. Gao, K. Yang, D. Zhang, H. Ma, and W. Qian. EMBC, page 3004-3007. IEEE, (2021)An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification.H. Jiang, K. Yang, M. Gao, D. Zhang, H. Ma, and W. Qian. EMBC, page 2045-2048. IEEE, (2019)ScMOGAE: A Graph Convolutional Autoencoder-Based Multi-omics Data Integration Framework for Single-Cell Clustering.B. Zhou, H. Jiang, Y. Wang, Y. Gu, and H. Sun. ISBRA (1), volume 14954 of Lecture Notes in Computer Science, page 322-334. Springer, (2024)

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Disambiguation of "Jiang, Hongyang"

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Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation.

Please choose a person to relate this publication to

Hongyang Wang

Hongyang Zhao

Hongyang Liu

Hongyang Qu

Ping Jiang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jiang, Hongyang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation.

Please choose a person to relate this publication to

Hongyang Wang

Hongyang Zhao

Hongyang Liu

Hongyang Qu

Ping Jiang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Quantitative pathologic analysis of pulmonary nodules using three-dimensional computed tomography images based on latent Dirichlet allocation.