Sebastian Gündel

2023

Conference Contributions

• Packhäuser K., Gündel S., Münster N., Syben C., Christlein V., Maier A.:
  Abstract: Is Medical Chest X-ray Data Anonymous?
  German Workshop on Medical Image Computing (Braunschweig, July 2, 2023 - July 4, 2023)
  In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
  DOI: 10.1007/978-3-658-41657-7_44
  BibTeX: Download
• Packhäuser K., Gündel S., Thamm F., Denzinger F., Maier A.:
  Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy
  International Conference on Medical Image Computing and Computer-Assisted Intervention – MICCAI 2023 (Vancouver, October 8, 2023 - October 12, 2023)
  In: Greenspan H, Madabhushi A, Mousavi P, Salcudean S, Duncan J, Syeda-Mahmood T, Taylor R (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Cham: 2023
  DOI: 10.1007/978-3-031-43898-1_26
  BibTeX: Download

2022

Journal Articles

• Packhäuser K., Gündel S., Münster N., Syben C., Christlein V., Maier A.:
  Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data
  In: Scientific Reports 12 (2022), Article No.: 14851
  ISSN: 2045-2322
  DOI: 10.1038/s41598-022-19045-3
  BibTeX: Download

2021

Journal Articles

• Gündel S., Setio AA., Ghesu FC., Grbic S., Georgescu B., Maier A., Comaniciu D.:
  Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment
  In: Medical Image Analysis (2021)
  ISSN: 1361-8415
  DOI: 10.1016/j.media.2021.102087
  BibTeX: Download

2020

Conference Contributions

• Gündel S., Maier A.:
  Epoch-wise label attacks for robustness against label noise
  In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Bildverarbeitung für die Medizin 2020 2020
  DOI: 10.1007/978-3-658-29267-6_64
  BibTeX: Download
• Gündel S., Setio A., Grbic S., Maier A., Comaniciu D.:
  Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
  11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2019
  In: Liu M., Yan P., Lian C., Cao X. (ed.): Machine Learning in Medical Imaging 2020
  DOI: 10.1007/978-3-030-59861-7_51
  BibTeX: Download

2019

Conference Contributions

• Gündel S., Grbic S., Georgescu B., Liu S., Maier A., Comaniciu D.:
  Learning to recognize abnormalities in chest X-rays with location-aware dense networks
  23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018 (Madrid, November 19, 2018 - November 22, 2018)
  In: Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
  DOI: 10.1007/978-3-030-13469-3_88
  BibTeX: Download
• Ghesu FC., Georgescu B., Gibson E., Gündel S., Kalra M., Singh R., Digumarthy S., Grbic S., Comaniciu D.:
  Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
  MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention (Shenzhen, China)
  In: Dinggang Shen,Tianming Liu,Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 2019
  DOI: 10.1007/978-3-030-32226-7_75
  BibTeX: Download

Miscellaneous

• Gündel S., Ghesu FC., Grbic S., Gibson E., Georgescu B., Maier A., Comaniciu D.:
  Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels
  (2019)
  URL: https://arxiv.org/abs/1905.06362
  BibTeX: Download
  (online publication)