Kai Packhäuser

11 papers Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs.
Bildverarbeitung für die Medizin
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
2024 — conf
Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs.
Bildverarbeitung für die Medizin
Kai Packhäuser, Lukas Folle, Tri-Thien Nguyen, Florian Thamm, Andreas K. Maier
2024 J jnl
The Impact of Speech Anonymization on Pathology and Its Limits.
CoRR
Soroosh Tayebi Arasteh, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Tobias Weise, Kai Packhäuser, Maria Schuster, Elmar Nöth, Andreas Maier, Seung Hee Yang
2023 — conf
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
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas K. Maier
2023 — conf
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy.
MICCAI (3)
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
2023 — conf
Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning.
EMBC
Elisabeth Gabler, Michael Nissen, Thomas R. Altstidl, Adriana Titzmann, Kai Packhäuser, Andreas K. Maier, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser
2023 — conf
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems.
ISBI
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier
2023 — conf
Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds.
ISBI
Dalia Rodríguez-Salas, Mathias Öttl, Mathias Seuret, Kai Packhäuser, Andreas Maier
2022 J jnl
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy.
CoRR
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
2022 J jnl
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems.
CoRR
Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas K. Maier
2021 J jnl
Is Medical Chest X-ray Data Anonymous?
CoRR
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier