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Disambiguation of "Unberath, Mathias"

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Range Imaging for Motion Compensation in C-Arm Cone-Beam CT of Knees under Weight-Bearing Conditions.

, , , , , , and . J. Imaging, 4 (1): 13 (2018)

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Hannes Unberath

Mathias Rafler

Gaussian loop- and Pólya processes: a point process approach. Uni Potsdam, (2009)

Mathias Rausch

Stärkung des Informationsanspruchs durch das Arca-nigra-Verfahren: ein In-camera-Verfahren zur Kontrolle der Informationsgabe. Uni Köln, (2009)

Mathias Guder

Photo-resist stripping with DI/O3 in semiconductor device manufacturing: process chemistry and analytical aspects. Uni Frankfurt Main, (2010)

Mathias Ehrlich

 

Other publications of authors with the same name

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers., , , , and . CoRR, (2020)FluoroSAM: A Language-aligned Foundation Model for X-ray Image Segmentation., , , , , , , and . CoRR, (2024)Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery., , , , , , , and . CoRR, (2020)The impact of visualization paradigms on the detectability of spatial misalignment in mixed reality surgical guidance., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 17 (5): 921-927 (2022)Interactive Flying Frustums (IFFs): spatially aware surgical data visualization., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 913-922 (2019)Exploring partial intrinsic and extrinsic symmetry in 3D medical imaging., , , , , , , and . Medical Image Anal., (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)Mitigating knowledge imbalance in AI-advised decision-making through collaborative user involvement., , and . Int. J. Hum. Comput. Stud., (April 2023)The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective., , , , , , and . CoRR, (2021)Robustness in Deep Learning for Computer Vision: Mind the gap?, , , and . CoRR, (2021)