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2020 – today
- 2024
[c7]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: 27-32- [c6]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: 363 - [i4]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 abs/2404.08064 (2024) - 2023
- [c5]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: 204 - [c4]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: 1-4 - [c3]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: 1-5 - [c2]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: 1-5 - [c1]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: 262-272 - 2022
- [i3]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 abs/2209.11531 (2022) - [i2]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 abs/2211.01323 (2022) - 2021
- [i1]Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier:
Is Medical Chest X-ray Data Anonymous? CoRR abs/2103.08562 (2021)
Coauthor Index
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