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A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation., , , и . CoRR, (2018)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)Workflow and simulation of image-to-physical registration of holes inside spongy bone., , , , , и . Int. J. Comput. Assist. Radiol. Surg., 12 (8): 1425-1437 (2017)An experimental evaluation of loads occurring during guided drilling for cochlear implantation., , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 10 (10): 1625-1637 (2015)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)Optische Vermessung mittels kodierten Lichts von variabel reflektierenden Oberflächen zur Registrierung oder Dokumentation., , и . Bildverarbeitung für die Medizin, стр. 340-344. Springer, (2006)Stereo Laryngoscopic Impact Site Prediction for Droplet-Based Stimulation of the Laryngeal Adductor Reflex., , , , , , , , и . IEEE Access, (2021)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)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)