Sebastian Gündel

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Additional Knowledge

Chest Radiographs

Robust Classification

Top Venues

Bildverarbeitung für die Medizin

Medical Image Anal.

Publications

Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs. Bildverarbeitung für die Medizin (2024)
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas K. Maier
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 (2023)
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. MICCAI (3) (2023)
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy. CoRR (2022)
Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment. Medical Image Anal. 72 (2021)
Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment. CoRR (2021)
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier
Is Medical Chest X-ray Data Anonymous? CoRR (2021)
Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu
Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. Bildverarbeitung für die Medizin (2021)
Sebastian Gündel, Arnaud Arindra Adiyoso Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. CoRR (2020)
Sebastian Gündel, Andreas K. Maier
Epoch-Wise Label Attacks for Robustness Against Label Noise. Bildverarbeitung für die Medizin (2020)
Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas K. Maier, Dorin Comaniciu
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. MLMI@MICCAI (2020)
Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. MICCAI (6) (2019)
Sebastian Gündel, Florin C. Ghesu, Sasa Grbic, Eli Gibson, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels. CoRR (2019)
Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. CoRR (2019)
Sebastian Gündel, Andreas K. Maier
Epoch-wise label attacks for robustness against label noise. CoRR (2019)
Sebastian Gündel, Sasa Grbic, Bogdan Georgescu, Siqi Liu, Andreas Maier, Dorin Comaniciu
Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. CIARP (2018)
Sebastian Gündel, Sasa Grbic, Bogdan Georgescu, Shaohua Kevin Zhou, Ludwig Ritschl, Andreas Meier, Dorin Comaniciu
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. CoRR (2018)