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A machine learning pipeline for internal anatomical landmark embedding based on a patient surface model.

, , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (1): 53-61 (2019)

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Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process., , , , , , , , , and 1 other author(s). Bildverarbeitung für die Medizin, page 156-162. Springer, (2020)X-Ray Scatter Estimation Using Deep Splines., , , , , , , , , and . IEEE Trans. Medical Imaging, 40 (9): 2272-2283 (2021)Pitfalls in interventional X-ray organ dose assessment - combined experimental and computational phantom study: application to prostatic artery embolization., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (11): 1859-1869 (2019)Range Imaging for Motion Compensation in C-Arm Cone-Beam CT of Knees under Weight-Bearing Conditions., , , , , , and . J. Imaging, 4 (1): 13 (2018)Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees., , , , , , , and . MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 83-90. Springer, (2018)Fully-Automatic CT Data Preparation for Interventional X-Ray Skin Dose Simulation., , , , , , , , and . Bildverarbeitung für die Medizin, page 125-130. Springer, (2020)Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation., , , , , , , , , and . Bildverarbeitung für die Medizin, page 122-127. Springer Vieweg, (2019)Over-Exposure Correction in CT Using Optimization-Based Multiple Cylinder Fitting., , , , , and . Bildverarbeitung für die Medizin, page 35-40. Springer, (2015)Model-Based Motion Artifact Correction in Digital Subtraction Angiography Using Optical-Flow., , , , , , and . Bildverarbeitung für die Medizin, page 146-151. Springer Vieweg, (2019)Action Learning for 3D Point Cloud Based Organ Segmentation., , , , , , , , and . CoRR, (2018)