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Robust augmented reality guidance with fluorescent markers in laparoscopic surgery., , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 11 (6): 899-907 (2016)Deep learning for biomedical photoacoustic imaging: A review., , , и . CoRR, (2020)Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern., , , , , , , , и . CoRR, (2020)Crowdsourcing for error detection in cortical surface delineations., , , , и . Int. J. Comput. Assist. Radiol. Surg., 12 (1): 161-166 (2017)Methods and open-source toolkit for analyzing and visualizing challenge results., , , , , и . CoRR, (2019)BIAS: Transparent reporting of biomedical image analysis challenges., , , , , , , , , и 4 other автор(ы). CoRR, (2019)Surgical data science - from concepts toward clinical translation., , , , , , , , , и 41 other автор(ы). Medical Image Anal., (2022)SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction., , , , и . Medical Image Anal., (2022)Towards markerless navigation for percutaneous needle insertions., , , , , , , , , и 1 other автор(ы). Int. J. Comput. Assist. Radiol. Surg., 11 (1): 107-117 (2016)Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks., , , , , , , , , и 1 other автор(ы). Int. J. Comput. Assist. Radiol. Surg., 14 (6): 997-1007 (2019)