Kai Packhäuser

According to our database, Kai Packhäuser authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, Seung Hee Yang

CoRR, 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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems.

Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2021

Is Medical Chest X-ray Data Anonymous?

Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier

CoRR, 2021