Evaluation of an optimized metal artifact reduction algorithm for flat-detector angiography compared to DSA imaging in follow-up after neurovascular procedures. - Nadine Amelung; Volker Maus; Daniel Behme; Ismini E. Papageorgiou; Johanna Rosemarie Leyhe; Michael Knauth; Marios Nikos Psychogios (BMC Medical Imaging, 2019)

Virtual embolization for treatment support of intracranial AVMs using an interactive desktop and VR application. - Ulrike Sprengel; Patrick Saalfeld; Janneck Stahl; Sarah Mittenentzwei; Moritz Drittel; Benjamin Behrendt; Naoki Kaneko; Daniel Behme; Philipp Berg; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2021)

Geometric Deep Learning Vascular Domain Segmentation. - Robert Kreher; Annika Niemann; Libin Kutty; Viju Sudhi; Bernhard Preim; Daniel Behme; Sylvia Saalfeld (Bildverarbeitung für die Medizin, 2023)

Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management. - Annika Niemann; Daniel Behme; Naomi Larsen; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2023)

Assessment of the flow-diverter efficacy for intracranial aneurysm treatment considering pre- and post-interventional hemodynamics. - Janneck Stahl; Laurel Morgan Miller Marsh; Maximilian Thormann; Andreas Ding; Sylvia Saalfeld; Daniel Behme; Philipp Berg (Comput. Biol. Medicine, 2023)

A VR neurointerventional setup for catheter-based interventions focusing on visualizing the risk of radiation. - Marcus Streuber; Mareen Allgaier; Roland Schwab; Daniel Behme; Sylvia Saalfeld (Comput. Biol. Medicine, 2024)

Anatomical Characteristics of Cervicomedullary Compression on MRI Scans in Children with Achondroplasia. - Isabella Trautwein; Daniel Behme; Philip Kunkel; Jasper Gerdes; Klaus Mohnike (J. Imaging, 2024)

Calculation of virtual 3D subtraction angiographies using conditional generative adversarial networks (cGANs). - Sebastian Johannes Müller; Eric Einspänner; Stefan Klebingat; Seraphine Zubel; Roland Schwab; Erelle Fuchs; Elie Diamandis; Eya Khadhraoui; Daniel Behme (BMC Medical Imaging, 2024)