Kai Packhäuser



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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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To

Abstract

Journal

Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs (2024) Packhäuser K, Folle L, Nguyen TT, Thamm F, Maier A Conference contribution, Conference Contribution AUCReshaping: improved sensitivity at high-specificity (2023) Bhat S, Mansoor A, Georgescu B, Bhandary Panambur A, Ghesu FC, Islam S, Packhäuser K, et al. Journal article Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems (2023) Packhäuser K, Folle L, Thamm F, Maier A Conference contribution, Original article Abstract: Is Medical Chest X-ray Data Anonymous? (2023) Packhäuser K, Gündel S, Münster N, Syben C, Christlein V, Maier A Conference contribution, Abstract of lecture Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds (2023) Rodriguez Salas D, Öttl M, Seuret M, Packhäuser K, Maier A Conference contribution, Original article Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy (2023) Packhäuser K, Gündel S, Thamm F, Denzinger F, Maier A Conference contribution, Original article Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning (2023) Gabler E, Nissen M, Altstidl TR, Titzmann A, Packhäuser K, Maier A, Fasching P, et al. Conference contribution, Conference Contribution Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data (2022) Packhäuser K, Gündel S, Münster N, Syben C, Christlein V, Maier A Journal article, Original article