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Comparing Model-free Motion Prediction and On-line Model Checking for Respiratory Motion Management.

S. Antoni, J. Rinast, S. Schupp, and A. Schlaefer. Software Engineering (Workshops), volume 1337 of CEUR Workshop Proceedings, page 15-18. CEUR-WS.org, (2015)

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Sven Stark University of Stuttgart

Dr. -Ing. Markus Antoni University of Stuttgart

Sven Fischer

Sven Sewalski University of Stuttgart

Sven Weidner University of Stuttgart

Other publications of authors with the same name

Evaluation des Einflusses von Artefakten auf den Korrelationsfehler in der bewegungskompensierten Radiochirurgie.S. Antoni, J. Rinast, S. Schupp, and A. Schlaefer. CURAC, page 133-138. (2015)Comparing Model-free Motion Prediction and On-line Model Checking for Respiratory Motion Management.S. Antoni, J. Rinast, S. Schupp, and A. Schlaefer. Software Engineering (Workshops), volume 1337 of CEUR Workshop Proceedings, page 15-18. CEUR-WS.org, (2015)Reducing False Discovery Rates for On-line Model Checking Based Detection of Respiratory Motion Artifacts.S. Antoni, X. Ma, S. Schupp, and A. Schlaefer. Software Engineering (Workshops), volume 1559 of CEUR Workshop Proceedings, page 182-186. CEUR-WS.org, (2016)Detecting Respiratory Artifacts from Video Data.S. Antoni, R. Plagge, R. Dürichen, and A. Schlaefer. Bildverarbeitung für die Medizin, page 227-232. Springer, (2015)Online model checking for monitoring surrogate-based respiratory motion tracking in radiation therapy.S. Antoni, J. Rinast, X. Ma, S. Schupp, and A. Schlaefer. Int. J. Comput. Assist. Radiol. Surg., 11 (11): 2085-2096 (2016)Model checking for trigger loss detection during Doppler ultrasound-guided fetal cardiovascular MRI.S. Antoni, S. Lehmann, M. Neidhardt, K. Fehrs, C. Ruprecht, F. Kording, G. Adam, S. Schupp, and A. Schlaefer. Int. J. Comput. Assist. Radiol. Surg., 13 (11): 1755-1766 (2018)A Quantitative Metric Temporal Logic for Execution-Time Constrained Verification.S. Lehmann, S. Antoni, A. Schlaefer, and S. Schupp. CyPhy/WESE, volume 11615 of Lecture Notes in Computer Science, page 170-189. Springer, (2018)Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN Architecture.N. Gessert, T. Priegnitz, T. Saathoff, S. Antoni, D. Meyer, M. Hamann, K. Jünemann, C. Otte, and A. Schlaefer. MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 222-229. Springer, (2018)Spatio-Temporal Deep Learning Models for Tip Force Estimation During Needle Insertion.N. Gessert, T. Priegnitz, T. Saathoff, S. Antoni, D. Meyer, M. Hamann, K. Jünemann, C. Otte, and A. Schlaefer. CoRR, (2019)Optical coherence tomography based 1D to 6D eye-in-hand calibration.S. Antoni, C. Otte, T. Savarimuthu, O. Rajput, and A. Schlaefer. IROS, page 5886-5891. IEEE, (2017)