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Abstract: Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation.

, , , , , , and . Bildverarbeitung für die Medizin, page 337-338. Springer, (2017)

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DEeP random walks., , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86693O. SPIE, (2013)Manifold learning for shape guided segmentation of Cardiac boundaries: Application to 3D+t Cardiac MRI., , and . EMBC, page 2658-2662. IEEE, (2011)Quantile-based Maximum Likelihood Training for Outlier Detection., , , , and . CoRR, (2023)Introducing Augmented Reality to Optical Coherence Tomography in Ophthalmic Microsurgery., , , and . ISMAR, page 1-6. IEEE Computer Society, (2015)Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery., , , , , , , and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 266-273. Springer, (2015)Automatic Initialization and Failure Detection for Surgical Tool Tracking in Retinal Microsurgery., , , , , and . Bildverarbeitung für die Medizin, page 346-351. Springer, (2017)Real Time Medical Instrument Detection and Tracking in Microsurgery., , , and . Bildverarbeitung für die Medizin, page 185-190. Springer, (2015)Detection of articulated instruments in retinal microsurgery., , and . ISBI, page 107-110. IEEE, (2016)Random ferns for multiple target tracking in microscopic retina image sequences., , , , , , , and . ISBI, page 209-212. IEEE, (2015)Quantile-Based Maximum Likelihood Training for Outlier Detection., , , , and . AAAI, page 21610-21618. AAAI Press, (2024)