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Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study.

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A three-stage deadlock prevention strategy for S3PR nets., , and . CASE, page 286-291. IEEE, (2015)Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study., , , , , , , , , and 15 other author(s). CoRR, (2021)Scaffolding student teachers' information-seeking behaviours with a network-based tutoring system., , , , and . J. Comput. Assist. Learn., 35 (6): 731-746 (2019)Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT., , , , , , , , , and . CoRR, (2020)Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach., , , , , , , , , and 3 other author(s). PRIME@MICCAI, volume 12928 of Lecture Notes in Computer Science, page 47-58. Springer, (2021)Deep Learning Based Lesion Detection For Mammograms., , , , , , , , and . ICHI, page 1-3. IEEE, (2019)MommiNet-v2: Mammographic multi-view mass identification networks., , , , , , , , , and 3 other author(s). Medical Image Anal., (2021)Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT., , , , , , , , , and . IEEE Trans. Medical Imaging, 40 (10): 2759-2770 (2021)Latent profiles of self-regulated learning and their impacts on teachers' technology integration., , , and . Br. J. Educ. Technol., 52 (2): 695-713 (2021)3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management., , , , , , , , and . CVPR, page 13743-13752. Computer Vision Foundation / IEEE, (2021)