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Recognition of Blinding Diseases from Ocular OCT Images Based on Deep Learning.

R. Wang, Y. Wang, W. Yu, S. Zhang, J. Wang, и D. Yu. ICIRA (4), том 13458 из Lecture Notes in Computer Science, стр. 181-190. Springer, (2022)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Yan Zhang

Xianghong Zhang

Miao Zhang

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Dual Path DNN Based Heterogenous Reference Image Quality Assessment via Decoupling the Quality Difference and Content Difference.X. Ma, Y. Wang, S. Zhang, и D. Yu. ICIRA (4), том 13458 из Lecture Notes in Computer Science, стр. 211-222. Springer, (2022)ADGNet: Attention Discrepancy Guided Deep Neural Network for Blind Image Quality Assessment.X. Ma, Y. Wang, C. Liu, S. Zhang, и D. Yu. ACM Multimedia, стр. 1309-1318. ACM, (2022)Recognition of Blinding Diseases from Ocular OCT Images Based on Deep Learning.R. Wang, Y. Wang, W. Yu, S. Zhang, J. Wang, и D. Yu. ICIRA (4), том 13458 из Lecture Notes in Computer Science, стр. 181-190. Springer, (2022)An embedding and interactions learning approach for ID feature in deep recommender system.S. Zhang, X. Ma, Y. Wang, Y. Zhou, и D. Yu. Expert Syst. Appl., (2022)A Model-Agnostic Semantic-Quality Compatible Framework based on Self-Supervised Semantic Decoupling.X. Ma, C. Feng, J. Wang, Q. Lin, S. Zhang, J. Zhu, X. Chen, C. Liu, и D. Yu. ACM Multimedia, стр. 6774-6784. ACM, (2023)

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