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Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract., , , , , , , and . CoRR, (2019)Band-Pass Filter Design by Segmentation in Frequency Domain for Detection of Epithelial Cells in Endomicroscope Images., , , , , , and . Bildverarbeitung für die Medizin, page 413-418. Springer, (2015)Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-Site Robustness Assessment., , , , , , , , and . CoRR, (2017)Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract., , , , , , , , and . BIOSTEC (Selected Papers), volume 1024 of Communications in Computer and Information Science, page 67-85. Springer, (2018)Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning., , , , , , , , , and . CoRR, (2017)Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (1): 31-42 (2019)Low-light image enhancement of high-speed endoscopic videos using a convolutional neural network., , , , and . Medical Biol. Eng. Comput., 57 (7): 1451-1463 (2019)Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment., , , , , , , , and . BIOIMAGING, page 27-34. SciTePress, (2018)Analysis of deformation characteristics of excised human vocal folds by optical stereo-triangulation., , , , , and . MAVEBA, page 195-198. Firenze University Press / ISCA, (2009)Automatic Classification and Pathological Staging of Confocal Laser Endomicroscopic Images of the Vocal Cords., , , , and . Bildverarbeitung für die Medizin, page 312-317. Springer, (2017)