Sebastian Gündel

18 papers C 1Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs. Bildverarbeitung für die Medizin Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
2023	—	`conf`	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. Bildverarbeitung für die Medizin Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas K. Maier
2023	—	`conf`	Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. MICCAI (3) Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
2023	—	`—`	Recognition of Similarities and Abnormalities in Chest Radiographs (Erkennung von Ähnlichkeiten und Abnormalitäten in Thoraxröntgenbildern) Sebastian Gündel
2022	J	`jnl`	Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy. CoRR Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
2021	—	`conf`	Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. Bildverarbeitung für die Medizin Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu
2021	J	`jnl`	Is Medical Chest X-ray Data Anonymous? CoRR Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier
2021	J	`jnl`	Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment. CoRR Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu
2021	J	`jnl`	Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment. Medical Image Anal. Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
2020	—	`conf`	Epoch-Wise Label Attacks for Robustness Against Label Noise. Bildverarbeitung für die Medizin Sebastian Gündel, Andreas K. Maier
2020	—	`conf`	Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. MLMI@MICCAI Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas K. Maier, Dorin Comaniciu
2020	J	`jnl`	Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. CoRR Sebastian Gündel, Arnaud Arindra Adiyoso Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu
2019	J	`jnl`	Epoch-wise label attacks for robustness against label noise. CoRR Sebastian Gündel, Andreas K. Maier
2019	J	`jnl`	Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels. CoRR Sebastian Gündel, Florin C. Ghesu, Sasa Grbic, Eli Gibson, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
2019	—	`conf`	Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. MICCAI (6) Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu
2019	J	`jnl`	Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. CoRR Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu
2018	C	`conf`	Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. CIARP Sebastian Gündel, Sasa Grbic, Bogdan Georgescu, Siqi Liu, Andreas Maier, Dorin Comaniciu
2018	J	`jnl`	Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. CoRR Sebastian Gündel, Sasa Grbic, Bogdan Georgescu, Shaohua Kevin Zhou, Ludwig Ritschl, Andreas Meier, Dorin Comaniciu