Automatic alignment of pre- and post-interventional liver CT images for assessment of radiofrequency ablation. - Christian Rieder; Stefan Wirtz 001; Jan Strehlow; Stephan Zidowitz; Philipp Bruners; Peter Isfort; Andreas H. Mahnken; Heinz-Otto Peitgen (Image-Guided Procedures, 2012)

Software-assisted post-interventional assessment of radiofrequency ablation. - Christian Rieder; Benjamin P. Geisler; Philipp Bruners; Peter Isfort; Hong-Sik Na; Andreas H. Mahnken; Horst Karl Hahn (Image-Guided Procedures, 2014)

Influence of trigger type, tube voltage and heart rate on calcified plaque imaging in dual source cardiac computed tomography: phantom study. - Tobias Penzkofer; Eva Donandt; Peter Isfort; Thomas Allmendinger; Christiane K. Kuhl; Andreas H. Mahnken; Philipp Bruners (BMC Medical Imaging, 2014)

Interactive multi-criteria planning for radiofrequency ablation. - Christian Schumann; Christian Rieder; Sabrina Haase; Katrin Teichert; Philipp Süss; Peter Isfort; Philipp Bruners; Tobias Preusser (Int. J. Comput. Assist. Radiol. Surg., 2015)

A miniature accelerometer-based guidance device for percutaneous computed tomography-guided punctures. - Christoph Wilkmann; Nobutake Ito; Tobias Penzkofer; Peter Isfort; Hong-Sik Na; Michael Hennes; Catherine Disselhorst-Klug; Andreas H. Mahnken; Christiane K. Kuhl; Philipp Bruners (Int. J. Comput. Assist. Radiol. Surg., 2015)

Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning. - Tianyu Han; Jakob Nikolas Kather; Federico Pedersoli; Markus Zimmermann; Sebastian Keil; Maximilian Schulze-Hagen; Marc Terwoelbeck; Peter Isfort; Christoph Haarburger; Fabian Kiessling; Volkmar Schulz; Christiane Kuhl; et al. (CoRR, 2021)

Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels. - Soroosh Tayebi Arasteh; Peter Isfort; Marwin Saehn; Gustav Mueller-Franzes; Firas Khader; Jakob Nikolas Kather; Christiane Kuhl; Sven Nebelung; Daniel Truhn (CoRR, 2022)

Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation. - Tianyu Han; Jakob Nikolas Kather; Federico Pedersoli; Markus Zimmermann; Sebastian Keil; Maximilian Schulze-Hagen; Marc Terwoelbeck; Peter Isfort; Christoph Haarburger; Fabian Kiessling; Christiane Kuhl; Volkmar Schulz; et al. (Nat. Mac. Intell., 2022)

Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy. - Soroosh Tayebi Arasteh; Mahshad Lotfinia; Teresa Nolte; Marwin Saehn; Peter Isfort; Christiane Kuhl; Sven Nebelung; Georgios Kaissis; Daniel Truhn (CoRR, 2023)

Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models. - Soroosh Tayebi Arasteh; Christiane Kuhl; Marwin-Jonathan Saehn; Peter Isfort; Daniel Truhn; Sven Nebelung (CoRR, 2023)

Accuracy and Precision of Mandible Segmentation and Its Clinical Implications: Virtual Reality, Desktop Screen and Artificial Intelligence. - Lennart Johannes Gruber; Jan Egger; Andrea Bönsch; Joep Kraeima; Max Ulbrich; Vincent van den Bosch; Ila Motmaen; Caroline Wilpert; Mark Ooms; Peter Isfort; Frank Hölzle; Behrus Puladi (Expert Syst. Appl., 2024)

Encrypted federated learning for secure decentralized collaboration in cancer image analysis. - Daniel Truhn; Soroosh Tayebi Arasteh; Oliver Lester Saldanha; Gustav Müller-Franzes; Firas Khader; Philip Quirke; Nicholas P. West; Richard Gray 005; Gordon G. A. Hutchins; Jacqueline A. James; Maurice B. Loughrey; Manuel Salto-Tellez; et al. (Medical Image Anal., 2024)