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Cited by in F6Publishing
For: Unberath M, Gao C, Hu Y, Judish M, Taylor RH, Armand M, Grupp R. The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective. Front Robot AI 2021;8:716007. [PMID: 34527706 DOI: 10.3389/frobt.2021.716007] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Maier A, Köstler H, Heisig M, Krauss P, Yang SH. Known operator learning and hybrid machine learning in medical imaging—a review of the past, the present, and the future. Prog Biomed Eng 2022;4:022002. [DOI: 10.1088/2516-1091/ac5b13] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
2 Lee BC, Sinha A, Varble N, Pritchard WF, Karanian JW, Wood BJ, Bydlon T. Breathing-Compensated Neural Networks for Real Time C-Arm Pose Estimation in Lung CT-Fluoroscopy Registration. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) 2022. [DOI: 10.1109/isbi52829.2022.9761705] [Reference Citation Analysis]
3 Gu W, Martin-gomez A, Cho SM, Osgood G, Bracke B, Josewski C, Knopf J, Unberath M. The impact of visualization paradigms on the detectability of spatial misalignment in mixed reality surgical guidance. Int J CARS. [DOI: 10.1007/s11548-022-02602-6] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Opfermann JD, Killeen BD, Bailey C, Khan M, Uneri A, Suzuki K, Armand M, Hui F, Krieger A, Unberath M. Feasibility of a Cannula-Mounted Piezo Robot for Image-Guided Vertebral Augmentation: Toward a Low Cost, Semi-Autonomous Approach. 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) 2021. [DOI: 10.1109/bibe52308.2021.9635356] [Reference Citation Analysis]