Kai Packhäuser

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 et al. · Scientific Reports · 2022 · 71 citations · Full text

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

Kai Packhäuser, Lukas Folle, Florian Thamm et al. · 2023 · 56 citations

Computed Tomography, Engineering, Machine Learning +25

AUCReshaping: improved sensitivity at high-specificity

Sheethal Bhat, Awais Mansoor, Bogdan Georgescu et al. · Scientific Reports · 2023 · 14 citations · Full text

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

Kai Packhäuser, Lukas Folle, Florian Thamm et al. · arXiv (Cornell University) · 2022 · 12 citations · Full text

Is Medical Chest X-ray Data Anonymous?

Kai Packhäuser, Sebastian Gündel, Nicolas Münster et al. · arXiv (Cornell University) · 2021 · 11 citations · Full text

Engineering, Machine Learning, Biometrics +22