Sebastian Gündel

According to our database, Sebastian Gündel authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

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

Sebastian Gündel

PhD thesis, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

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

Is Medical Chest X-ray Data Anonymous?

Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier

CoRR, 2021

Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation.

Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

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

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Epoch-Wise Label Attacks for Robustness Against Label Noise.

Sebastian Gündel, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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, Dorin Comaniciu

CoRR, 2018

Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks.

Sebastian Gündel, Sasa Grbic, Bogdan Georgescu, Siqi Liu, Andreas Maier, Dorin Comaniciu

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018