Is Medical Chest X-ray Data Anonymous? - Kai Packhäuser; Sebastian Gündel; Nicolas Münster; Christopher Syben; Vincent Christlein; Andreas Maier 001 (CoRR, 2021)

Abstract: Is Medical Chest X-ray Data Anonymous? - Deep Learning-based Patient Re-identification is Able to Exploit the Biometric Nature of Medical Chest X-ray Data. - Kai Packhäuser; Sebastian Gündel; Nicolas Münster; Christopher Syben; Vincent Christlein; Andreas K. Maier (Bildverarbeitung für die Medizin, 2023)

Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning. - Elisabeth Gabler; Michael Nissen; Thomas R. Altstidl; Adriana Titzmann; Kai Packhäuser; Andreas K. Maier; Peter A. Fasching; Bjoern M. Eskofier; Heike Leutheuser (EMBC, 2023)

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. - Kai Packhäuser; Lukas Folle; Florian Thamm; Andreas Maier 001 (ISBI, 2023)

Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds. - Dalia Rodríguez-Salas; Mathias Öttl; Mathias Seuret; Kai Packhäuser; Andreas Maier 001 (ISBI, 2023)

Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. - Kai Packhäuser; Sebastian Gündel; Florian Thamm; Felix Denzinger; Andreas K. Maier (MICCAI (3), 2023)

Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs. - Kai Packhäuser; Lukas Folle; Tri-Thien Nguyen; Florian Thamm; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs. - Kai Packhäuser; Sebastian Gündel; Florian Thamm; Felix Denzinger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

The Impact of Speech Anonymization on Pathology and Its Limits. - Soroosh Tayebi Arasteh; Tomás Arias-Vergara; Paula Andrea Pérez-Toro; Tobias Weise; Kai Packhäuser; Maria Schuster; Elmar Nöth; Andreas Maier 001; Seung Hee Yang (CoRR, 2024)