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Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data
by
Packhäuser, Kai
,
Gündel, Sebastian
,
Münster, Nicolas
,
Syben, Christopher
,
Christlein, Vincent
,
Maier, Andreas
Published in
Scientific reports
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AUCReshaping: improved sensitivity at high-specificity
by
Bhat, Sheethal
,
Mansoor, Awais
,
Georgescu, Bogdan
,
Panambur, Adarsh B.
,
Ghesu, Florin C.
,
Islam, Saahil
,
Packhäuser, Kai
,
Rodríguez-Salas, Dalia
,
Grbic, Sasa
,
Maier, Andreas
Published in
Scientific reports
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Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech
by
Tayebi Arasteh, Soroosh
,
Arias-Vergara, Tomás
,
Pérez-Toro, Paula Andrea
,
Weise, Tobias
,
Packhäuser, Kai
,
Schuster, Maria
,
Noeth, Elmar
,
Maier, Andreas
,
Yang, Seung Hee
Published in
Communications medicine
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Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning
by
Gabler, Elisabeth
,
Nissen, Michael
,
Altstidl, Thomas R.
,
Titzmann, Adriana
,
Packhauser, Kai
,
Maier, Andreas
,
Fasching, Peter A.
,
Eskofier, Bjoern M.
,
Leutheuser, Heike
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Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
by
Packhauser, Kai
,
Folle, Lukas
,
Thamm, Florian
,
Maier, Andreas
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Using Forestnets for Partial Fine-Tuning Prior to Breast Cancer Detection in Ultrasounds
by
Rodriguez-Salas, Dalia
,
Ottl, Mathias
,
Seuret, Mathias
,
Packhauser, Kai
,
Maier, Andreas
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Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data
by
Packhäuser, Kai
,
Gündel, Sebastian
,
Münster, Nicolas
,
Syben, Christopher
,
Christlein, Vincent
,
Maier, Andreas
Published in
arXiv.org
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Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy
by
Packhäuser, Kai
,
Gündel, Sebastian
,
Thamm, Florian
,
Denzinger, Felix
,
Maier, Andreas
Published in
arXiv.org
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Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
by
Packhäuser, Kai
,
Folle, Lukas
,
Thamm, Florian
,
Maier, Andreas
Published in
arXiv.org
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