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Feature tracking for automated volume of interest stabilization on 4D-OCT images., , , , , и . Medical Imaging: Image-Guided Procedures, том 10135 из SPIE Proceedings, стр. 101350W. SPIE, (2017)Voraussetzungen für die kamerabasierte, intracochleare Navigation., и . CURAC, том 1429 из CEUR Workshop Proceedings, стр. 207-210. CEUR-WS.org, (2012)Towards Fully Automated Determination of Laryngeal Adductor Reflex Latencies through High-Speed Laryngoscopy Image Processing., , , , , и . Bildverarbeitung für die Medizin, стр. 121-126. Springer Vieweg, (2018)Optische Vermessung mittels kodierten Lichts von variabel reflektierenden Oberflächen zur Registrierung oder Dokumentation., , и . Bildverarbeitung für die Medizin, стр. 340-344. Springer, (2006)Configuration optimization and experimental accuracy evaluation of a bone-attached, parallel robot for skull surgery., , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 11 (3): 421-436 (2016)Cochlear shape description and analyzing via medial models., , , , и . Medical Imaging: Image Processing, том 9413 из SPIE Proceedings, стр. 941345. SPIE, (2015)Real-Time Coarse-to-Fine Depth Estimation on Stereo Endoscopic Images With Self-Supervised Learning., и . ISBI, стр. 733-737. IEEE, (2021)Bent rigid endoscopes: a challenge for accurate distortion correction and 3D reconstruction., и . Medical Imaging: Image-Guided Procedures, том 8316 из SPIE Proceedings, стр. 83162E. SPIE, (2012)A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation., , , и . Int. J. Comput. Assist. Radiol. Surg., 14 (3): 483-492 (2019)Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning., , , , и . MIDL, том 121 из Proceedings of Machine Learning Research, стр. 393-412. PMLR, (2020)