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Self-calibration of C-arm imaging system using interventional instruments during an intracranial biplane angiography.

, , , , and . Int. J. Comput. Assist. Radiol. Surg., 17 (7): 1355-1366 (2022)

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LiVRSono - Virtual Reality Training with Haptics for Intraoperative Ultrasound., , , , , , , and . ISMAR, page 980-989. IEEE, (2023)A Comparison of Input Devices for Precise Interaction Tasks in VR-based Surgical Planning and Training., , , , , , , , , and 1 other author(s). VR Workshops, page 674-675. IEEE, (2022)A two-step risk assessment method for radiofrequency ablations of spine metastases., , , , , , and . Comput. Biol. Medicine, (2019)Geometric Deep Learning Vascular Domain Segmentation., , , , , , and . Bildverarbeitung für die Medizin, page 153-158. Springer, (2023)Design of a virtual data shelf to effectively explore a large database of 3D medical surface models in VR., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 18 (11): 2013-2022 (November 2023)Segmentation of Vertebral Metastases in MRI Using an U-Net like Convolutional Neural Network., , , , , and . Bildverarbeitung für die Medizin, page 31-36. Springer Vieweg, (2019)Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (9): 1525-1535 (2020)Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management., , , , and . Int. J. Comput. Assist. Radiol. Surg., 18 (3): 517-525 (March 2023)Predicting Aneurysm Rupture with Deep Learning on 3D Models., , , and . Bildverarbeitung für die Medizin, page 315-320. Springer, (2022)Automatic Lung Nodule Segmentation in CT Imaging using an Improved 3D-Res2Unet., , and . Bildverarbeitung für die Medizin, page 165-170. Springer, (2023)