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Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers., , , , и . CoRR, (2020)Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis., , , , , , и . Nat. Mac. Intell., 5 (3): 294-308 (марта 2023)FluoroSAM: A Language-aligned Foundation Model for X-ray Image Segmentation., , , , , , , и . CoRR, (2024)Interactive Flying Frustums (IFFs): spatially aware surgical data visualization., , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 913-922 (2019)MoViT: Memorizing Vision Transformers for Medical Image Analysis., , , , , , , и . MLMI@MICCAI (2), том 14349 из Lecture Notes in Computer Science, стр. 205-213. Springer, (2023)Extremely Dense Point Correspondences Using a Learned Feature Descriptor., , , , , , и . CVPR, стр. 4846-4855. Computer Vision Foundation / IEEE, (2020)Deformable motion compensation for intraprocedural vascular cone-beam CT with sequential projection domain targeting and vessel-enhancing autofocus., , , , , , , и . Medical Imaging: Image-Guided Procedures, том 12466 из SPIE Proceedings, SPIE, (2023)E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-Based Stereoscopic Depth Perception., , , , , , и . MICCAI (4), том 12904 из Lecture Notes in Computer Science, стр. 415-425. Springer, (2021)LumiPath - Towards Real-Time Physically-Based Rendering on Embedded Devices., , , , , , , , и . MICCAI (5), том 11768 из Lecture Notes in Computer Science, стр. 673-681. Springer, (2019)CoronARe: A Coronary Artery Reconstruction Challenge., , , и . CMMI/RAMBO/SWITCH@MICCAI, том 10555 из Lecture Notes in Computer Science, стр. 96-104. Springer, (2017)