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Accessible Digital Ophthalmoscopy Based on Liquid-Lens Technology.

, , , , , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 571-578. Springer, (2015)

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Robotic Endoscope Control Via Autonomous Instrument Tracking., , , , , , , and . Frontiers Robotics AI, (2022)Autonomous Robotic Endoscope Control based on Semantically Rich Instructions., , , , , , , and . CoRR, (2021)Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation., , , and . CoRR, (2024)Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology., , , , , , , , and . CoRR, (2021)Incompressible Image Registration Using Divergence-Conforming B-Splines., , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 438-446. Springer, (2019)Accessible Digital Ophthalmoscopy Based on Liquid-Lens Technology., , , , , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 571-578. Springer, (2015)SegMatch: A semi-supervised learning method for surgical instrument segmentation., , , , , and . CoRR, (2023)Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia., , , , , , , , , and 3 other author(s). CoRR, (2018)Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (4): 651-659 (2020)Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking., , , , , , , , , and . CoRR, (2020)