Discover our clinical studies and publications
Browse peer-reviewed publications and real-world studies showing how AI tools are applied across radiology workflows.
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy
Author(s): Kristian Schwethelm, Johannes Kaiser, Jonas Kuntzer, Mehmet Yigitsoy, Daniel Rueckert, Georgios Kaissis
Journal: IEEE SaTML 2025
Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks
Author(s): Christiane Posselt, Mehmet Yigit Avci, Mehmet Yigitsoy, Patrick Schünke, Christoph Kolbitsch, Tobias Schäffter, Stefanie Remmele
Journal: SPIE Journal of Medical Imaging
Novel concept for systematic testing of AI models for MRI acquisition shifts with simulated data
Author(s): Christiane Posselt, Edith Gramotke, Abhijeet Parida, Mehmet Yigitsoy, Stefanie Remmele
Journal: SPIE Medical Imaging 2023
Longitudinal assessment of multiple sclerosis lesion load with synthetic magnetic resonance imaging—a multicenter validation study
Author(s): Sarah Schlaeger, Hongwei Bran Li, Thomas Baum, Claus Zimmer, Julia Moosbauer, Sebastian Byas, Mark Mühlau, Benedikt Wiestler, Tom Finck
Journal: Investigative Radiology
Automated Detection of Ischemic Stroke and Subsequent Patient Triage in Routinely Acquired Head CT
Author(s): Tom Finck, David Schinz, Lioba Grundl, Rami Eisawy, Mehmet Yiğitsoy, Julia Moosbauer, Claus Zimmer, Franz Pfister, Benedikt Wiestler
Journal: Clinical Neuroradiology
Faster and Better: How Anomaly Detection Can Accelerate and Improve Reporting of Head Computed Tomography
Author(s): Tom Finck, Julia Moosbauer, Monika Probst, Sarah Schlaeger, Madeleine Schuberth, David Schinz, Mehmet Yiğitsoy, Sebastian Byas, Claus Zimmer, Franz Pfister, Benedikt Wiestler
Journal: Diagnostics
Automated pathology detection and patient triage in routinely acquired head computed tomography scans
Author(s): Tom Finck, David Schinz, Lioba Grundl, Rami Eisawy, Mehmet Yigitsoy, Julia Moosbauer, Franz Pfister, Benedikt Wiestler
Journal: Investigative Radiology