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Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT., , , , , , , , , и . CoRR, (2020)A three-stage deadlock prevention strategy for S3PR nets., , и . CASE, стр. 286-291. IEEE, (2015)Scaffolding student teachers' information-seeking behaviours with a network-based tutoring system., , , , и . J. Comput. Assist. Learn., 35 (6): 731-746 (2019)Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study., , , , , , , , , и 15 other автор(ы). CoRR, (2021)Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach., , , , , , , , , и 3 other автор(ы). PRIME@MICCAI, том 12928 из Lecture Notes in Computer Science, стр. 47-58. Springer, (2021)Deep Learning Based Lesion Detection For Mammograms., , , , , , , , и . ICHI, стр. 1-3. IEEE, (2019)Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT., , , , , , , , , и . IEEE Trans. Medical Imaging, 40 (10): 2759-2770 (2021)MommiNet-v2: Mammographic multi-view mass identification networks., , , , , , , , , и 3 other автор(ы). Medical Image Anal., (2021)Latent profiles of self-regulated learning and their impacts on teachers' technology integration., , , и . Br. J. Educ. Technol., 52 (2): 695-713 (2021)Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph., , , , , , , , , и 5 other автор(ы). DGM4MICCAI/DALI@MICCAI, том 13003 из Lecture Notes in Computer Science, стр. 145-153. Springer, (2021)