Search Results - "Packhäuser, Kai"

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

“…With the rise and ever-increasing potential of deep learning techniques in recent years, publicly available medical datasets became a key factor to enable…”
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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

“…The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC,…”
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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

“…Background Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual…”
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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

“…Ultrasound examinations during pregnancy can detect abnormal fetal development, which is a leading cause of perinatal mortality. In multiple pregnancies, the…”
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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

“…The availability of large-scale chest X-ray datasets is a requirement for developing well-performing deep learning-based algorithms in thoracic abnormality…”
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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

“…Robust and reliable anonymization of chest radiographs constitutes an essential step before publishing large datasets of such for research purposes. The…”
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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

“…The availability of large-scale chest X-ray datasets is a requirement for developing well-performing deep learning-based algorithms in thoracic abnormality…”
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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

“…Scientific Reports, 12, Article number: 14851 (2022) With the rise and ever-increasing potential of deep learning techniques in recent years, publicly…”
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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

“…Ultrasound imaging is the most used technique for first investigating suspicions of breast lesions. In recent years, many deep learning techniques have been…”
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