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Interactive Flying Frustums (IFFs): spatially aware surgical data visualization.

, , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 913-922 (2019)

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Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers., , , , and . CoRR, (2020)Exploring partial intrinsic and extrinsic symmetry in 3D medical imaging., , , , , , , and . Medical Image Anal., (2021)Robustness in Deep Learning for Computer Vision: Mind the gap?, , , and . CoRR, (2021)Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis., , , , , , and . Nat. Mac. Intell., 5 (3): 294-308 (March 2023)2018 Robotic Scene Segmentation Challenge., , , , , , , , , and 23 other author(s). CoRR, (2020)The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective., , , , , , and . CoRR, (2021)INTRPRT: A Systematic Review of and Guidelines for Designing and Validating Transparent AI in Medical Image Analysis., , , and . CoRR, (2021)From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments., , , and . CoRR, (2024)MoViT: Memorizing Vision Transformers for Medical Image Analysis., , , , , , , and . MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 205-213. Springer, (2023)FluoroSAM: A Language-aligned Foundation Model for X-ray Image Segmentation., , , , , , , and . CoRR, (2024)