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Disambiguation of "Yan, Ziye"

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Mutually aided uncertainty incorporated dual consistency regularization with pseudo label for semi-supervised medical image segmentation.

, , , , , , and . Neurocomputing, (2023)

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Yan Yan

Zaya Ziyeh

Sargon Ziyeh

Shanshan Yan

Americanization in China: an analysis of General Motors and its strategies in China. Uni Mainz, (2009)

Yan Xu

Untersuchungen zur Verleimung von Holz und Holzspanplatten mit UF-Leimharzen und PMDI. TU Braunschweig, (2009)
 

Other publications of authors with the same name

Removing ring artifacts in CBCT images via L0 smoothing., , , and . Int. J. Imaging Systems and Technology, 26 (4): 284-294 (2016)Super Resolution of Text Image by Pruning Outlier., , and . ICONIP (3), volume 7064 of Lecture Notes in Computer Science, page 649-656. Springer, (2011)Super resolution in CT., , , , and . Int. J. Imaging Systems and Technology, 25 (1): 92-101 (2015)Constructing the Shortest ECOC for Fast Multi-classification., , and . KSEM, volume 7091 of Lecture Notes in Computer Science, page 462-471. Springer, (2011)Refining pre-image via error compensation for KPCA-based pattern de-noising., , and . ICPR, page 414-419. IEEE, (2016)Full-scale attention network for automated organ segmentation on head and neck CT and MR images., , , , , , , , and . IET Image Process., 17 (3): 660-673 (February 2023)Prognosis Forecast of Re-Irradiation for Recurrent Nasopharyngeal Carcinoma Based on Deep Learning Multi-Modal Information Fusion., , , , , , , , and . IEEE J. Biomed. Health Informatics, 27 (12): 6088-6099 (December 2023)Mutually aided uncertainty incorporated dual consistency regularization with pseudo label for semi-supervised medical image segmentation., , , , , , and . Neurocomputing, (2023)Removing Ring Artifacts in CBCT Images Using Smoothing Based on Relative Total Variation., , , and . ICONIP (1), volume 9947 of Lecture Notes in Computer Science, page 501-509. (2016)Touching String Segmentation Using MRF., , and . CIS (2), page 520-524. IEEE Computer Society, (2009)978-0-7695-3931-7.