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Overview of the 2014 Workshop on Medical Computer Vision: Algorithms for Big Data (MCV 2014), , , , , , , и . том LNCS 8848 из Springer, (2015)PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation., , , , , и . IEEE Trans. Medical Imaging, 42 (8): 2235-2246 (2023)Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation., , , , , , , и . IEEE Trans. Medical Imaging, 42 (9): 2513-2523 (сентября 2023)Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation., , , , , , и . CoRR, (2022)Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics., , , , , , и . CoRR, (2023)MedGPTEval: A Dataset and Benchmark to Evaluate Responses of Large Language Models in Medicine., , , , , , , , , и 3 other автор(ы). CoRR, (2023)Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding., , , , , , , , , и . CoRR, (2019)MRI-based nomogram analysis: recognition of anterior peritoneal reflection and its relationship to rectal cancers., , , , , , , и . BMC Medical Imaging, 21 (1): 50 (2021)PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation., , , , , , , , и . Comput. Methods Programs Biomed., (апреля 2023)Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild., , , и . Int. J. Comput. Vis., 126 (2-4): 184-197 (2018)