Kai Packhäuser

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Chest Radiographs

Breast Cancer Detection

Diffusion Models

Top Venues

Bildverarbeitung für die Medizin

Publications

Soroosh Tayebi Arasteh, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Tobias Weise, Kai Packhäuser, Maria Schuster, Elmar Nöth, Andreas Maier, Seung Hee Yang
The Impact of Speech Anonymization on Pathology and Its Limits. CoRR (2024)
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs. Bildverarbeitung für die Medizin (2024)
Kai Packhäuser, Lukas Folle, Tri-Thien Nguyen, Florian Thamm, Andreas K. Maier
Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs. Bildverarbeitung für die Medizin (2024)
Elisabeth Gabler, Michael Nissen, Thomas R. Altstidl, Adriana Titzmann, Kai Packhäuser, Andreas K. Maier, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser
Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning. EMBC (2023)
Dalia Rodríguez-Salas, Mathias Öttl, Mathias Seuret, Kai Packhäuser, Andreas Maier
Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds. ISBI (2023)
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas K. Maier
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. Bildverarbeitung für die Medizin (2023)
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. MICCAI (3) (2023)
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. ISBI (2023)
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy. CoRR (2022)
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas K. Maier
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems. CoRR (2022)
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier
Is Medical Chest X-ray Data Anonymous? CoRR (2021)