Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. - Sebastian Gündel; Sasa Grbic; Bogdan Georgescu; Siqi Liu 001; Andreas Maier 001; Dorin Comaniciu (CIARP, 2018)

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. - Sebastian Gündel; Sasa Grbic; Bogdan Georgescu; Shaohua Kevin Zhou; Ludwig Ritschl; Andreas Meier 009; Dorin Comaniciu (CoRR, 2018)

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. - Florin C. Ghesu; Bogdan Georgescu; Eli Gibson; Sebastian Gündel; Mannudeep K. Kalra; Ramandeep Singh; Subba R. Digumarthy; Sasa Grbic; Dorin Comaniciu (MICCAI (6), 2019)

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels. - Sebastian Gündel; Florin C. Ghesu; Sasa Grbic; Eli Gibson; Bogdan Georgescu; Andreas K. Maier; Dorin Comaniciu (CoRR, 2019)

Epoch-Wise Label Attacks for Robustness Against Label Noise. - Sebastian Gündel; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. - Sebastian Gündel; Arnaud A. A. Setio; Sasa Grbic; Andreas K. Maier; Dorin Comaniciu (MLMI@MICCAI, 2020)

Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. - Sebastian Gündel; Arnaud A. A. Setio; Sasa Grbic; Andreas Maier 001; Dorin Comaniciu (Bildverarbeitung für die Medizin, 2021)

Is Medical Chest X-ray Data Anonymous? - Kai Packhäuser; Sebastian Gündel; Nicolas Münster; Christopher Syben; Vincent Christlein; Andreas Maier 001 (CoRR, 2021)

Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment. - Sebastian Gündel; Arnaud A. A. Setio; Florin C. Ghesu; Sasa Grbic; Bogdan Georgescu; Andreas K. Maier; Dorin Comaniciu (Medical Image Anal., 2021)

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. - Kai Packhäuser; Sebastian Gündel; Nicolas Münster; Christopher Syben; Vincent Christlein; Andreas K. Maier (Bildverarbeitung für die Medizin, 2023)

Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. - Kai Packhäuser; Sebastian Gündel; Florian Thamm; Felix Denzinger; Andreas K. Maier (MICCAI (3), 2023)

Recognition of Similarities and Abnormalities in Chest Radiographs (Erkennung von Ähnlichkeiten und Abnormalitäten in Thoraxröntgenbildern) - Sebastian Gündel (2023)

Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs. - Kai Packhäuser; Sebastian Gündel; Florian Thamm; Felix Denzinger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)