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Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular Carcinoma., , , , , и . ISBI, стр. 1556-1560. IEEE, (2020)A clinical outcome evaluation model with local sample selection: A study on efficacy of acupuncture for cervical spondylosis., , , , , , и . BIBM Workshops, стр. 829-833. IEEE Computer Society, (2011)Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR., , , , , , , , и . EMBC, стр. 853-856. IEEE, (2019)Deriving mutual modes from HPLC fingerprints of traditional Chinese medicine with non-negative matrix factorization., , , , , и . BIBM, стр. 265-270. IEEE Computer Society, (2013)Fuzzy clustering algorithms for identification of Exocarpium Citrus Grandis through chromatography., , , , , , , , и . Soft Comput., 21 (5): 1291-1300 (2017)Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma., , , , , и . ICIP, стр. 1342-1345. IEEE, (2019)Application of patient-reported outcomes in clinical evaluation of acupuncture for cervical spondylosis with artificial neural network., , , , , и . BIBM, стр. 271-276. IEEE Computer Society, (2013)Automatic identification peaks in chromatographic fingerprints based on fuzzy matching., , , и . FSKD, стр. 292-296. IEEE, (2012)Research on PRO scale of acupuncture for cervical spondylosis with multidimensional item response theory., , , , и . ICMLC, стр. 857-862. IEEE, (2016)Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma., , , , , , , , , и . Pattern Recognit., (октября 2023)