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Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks.

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Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks., , , , and . CoRR, (2020)Analyzing Feedback Mechanisms in Group Decision Making Problems., , , and . EUSFLAT/IWIFSGN (3), volume 643 of Advances in Intelligent Systems and Computing, page 371-382. Springer, (2017)Computing with Words: Revisiting the Qualitative Scale., , , , , and . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 26 (Supplement-2): 127-143 (2018)Managing Missing Values in Intuitionistic Reciprocal Preference Relations: From Numeric Procedures to Granular., , , , and . SoMeT, volume 318 of Frontiers in Artificial Intelligence and Applications, page 559-572. IOS Press, (2019)An improvement of multiplicative consistency of reciprocal preference relations: A framework of granular computing., , , and . SMC, page 1262-1267. IEEE, (2017)Large-Scale Group Decision-Making Method based on Trust Clustering among Experts., , , , , and . IS, page 1-8. IEEE, (2022)A new application for multi criteria decision making processes in e-government scenarios., , , , , and . ITQM, volume 214 of Procedia Computer Science, page 1090-1097. Elsevier, (2022)Consensus in a Fuzzy Environment: A Bibliometric Study., , , and . ITQM, volume 55 of Procedia Computer Science, page 660-667. Elsevier, (2015)A Large-Scale Group Decision-Making Method based on Sentiment Analysis for the Detection of Cooperative Group., , , , , and . SSCI, page 148-155. IEEE, (2022)Analyzing Different Protocols of Information Granularity Distribution to Improve Consistency of Fuzzy Preference Relations in Decision-Making., , , , , and . SSCI, page 1497-1502. IEEE, (2023)