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Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation., , , , , , and . WWW, page 303-313. ACM / IW3C2, (2020)Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning., , , , , , , , and . IEEE Trans. Medical Imaging, 42 (9): 2616-2630 (September 2023)Semi-supervised Pathology Segmentation with Disentangled Representations., , , , , , , , and . DART/DCL@MICCAI, volume 12444 of Lecture Notes in Computer Science, page 62-72. Springer, (2020)Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets., , , and . CoRR, (2024)The Classification of Wafer Defects: A Support Vector Machine with Different DenseNet Transfer Learning Models Evaluation., , , , , , , and . RiTA, volume 642 of Lecture Notes in Networks and Systems, page 304-309. Springer, (2022)Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance., , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 64-I (12): 3183-3191 (2017)MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images, , , , , , , , , and 22 other author(s). Medical Image Analysis, (2023)MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images., , , , , , , , , and 22 other author(s). Medical Image Anal., (2023)Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net., , , and . Cogn. Comput., 13 (4): 845-858 (2021)MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images., , , , , , , , , and 22 other author(s). CoRR, (2022)