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Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning., , , , и . IEEE Trans. Medical Imaging, 40 (10): 2857-2868 (2021)Dynamic Chest Image Analysis: Model-Based Perfusion Analysis in Dynamic Pulmonary Imaging., , , , и . EURASIP J. Adv. Signal Process., 2003 (5): 437-448 (2003)Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis., , , , , , и . MICCAI (4), том 11767 из Lecture Notes in Computer Science, стр. 384-393. Springer, (2019)Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision., , и . DART@MICCAI, том 14293 из Lecture Notes in Computer Science, стр. 94-104. Springer, (2023)Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography., и . IPMI, том 4584 из Lecture Notes in Computer Science, стр. 630-641. Springer, (2007)A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps., , и . Abdominal Imaging, том 8198 из Lecture Notes in Computer Science, стр. 53-62. Springer, (2013)Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision., , и . CVPR, стр. 11269-11281. IEEE, (2024)ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-Grained Appearance for CT Images., , , , и . MICCAI (11), том 15011 из Lecture Notes in Computer Science, стр. 91-101. Springer, (2024)Causal Networks and Their Toolkit in KSE., , , и . IPMU, том 945 из Lecture Notes in Computer Science, стр. 139-148. Springer, (1994)On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging., , , , , , и . Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)