| Learning to recognize abnormalities in chest x-rays with location-aware dense networks S Guendel, S Grbic, B Georgescu, S Liu, A Maier, D Comaniciu Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019 | 215 | 2019 |
| Quantifying and leveraging classification uncertainty for chest radiograph assessment FC Ghesu, B Georgescu, E Gibson, S Guendel, MK Kalra, R Singh, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 53 | 2019 |
| Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data K Packhäuser, S Gündel, N Münster, C Syben, V Christlein, A Maier Scientific Reports 12 (1), 14851, 2022 | 35 | 2022 |
| Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment S Gündel, AAA Setio, FC Ghesu, S Grbic, B Georgescu, A Maier, ... Medical Image Analysis 72, 102087, 2021 | 33 | 2021 |
| Multi-task learning for chest x-ray abnormality classification on noisy labels S Guendel, FC Ghesu, S Grbic, E Gibson, B Georgescu, A Maier, ... arXiv preprint arXiv:1905.06362, 2019 | 33 | 2019 |
| Is medical chest X-ray data anonymous? K Packhäuser, S Gündel, N Münster, C Syben, V Christlein, A Maier | 25 | 2021 |
| Multi-task learning for chest x-ray abnormality classification S Guendel, F Ghesu, E Gibson, S Grbic, B Georgescu, D Comaniciu US Patent 10,691,980, 2020 | 9 | 2020 |
| Extracting and leveraging nodule features with lung inpainting for local feature augmentation S Gündel, AAA Setio, S Grbic, A Maier, D Comaniciu Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 7 | 2020 |
| Deep learning-based anonymization of chest radiographs: a utility-preserving measure for patient privacy K Packhäuser, S Gündel, F Thamm, F Denzinger, A Maier International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 5 | 2023 |
| Iberoamerican Congress on Pattern Recognition S Guendel, S Grbic, B Georgescu, S Liu, A Maier, D Comaniciu | 5 | 2018 |
| Epoch-Wise Label Attacks for Robustness Against Label Noise: Chest X-Ray Tuberculosis Classification with Corrupted Labels S Gündel, A Maier Bildverarbeitung für die Medizin 2020: Algorithmen–Systeme–Anwendungen …, 2020 | 2 | 2020 |
| Method and computer for mapping a medical imaging protocol to a lexicon S Guendel, M Kramer, O Pauly US Patent App. 15/817,472, 2018 | 2 | 2018 |
| Generating modified medical images and detecting abnormal structures S Guendel, AA Adiyoso, S Grbic, D Comaniciu US Patent App. 17/191,943, 2021 | 1 | 2021 |
| Utility-preserving Measure for Patient Privacy: Deep Learning-based Anonymization of Chest Radiographs K Packhäuser, S Gündel, F Thamm, F Denzinger, A Maier BVM Workshop, 363-363, 2024 | | 2024 |
| Machine learning from noisy labels for abnormality assessment in medical imaging S Guendel, AA Adiyoso, F Ghesu, S Grbic, B Georgescu, D Comaniciu US Patent 11,776,117, 2023 | | 2023 |
| 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 K Packhäuser, S Gündel, N Münster, C Syben, V Christlein, A Maier BVM Workshop, 204-204, 2023 | | 2023 |
| Recognition of Similarities and Abnormalities in Chest Radiographs S Gündel PQDT-Global, 2023 | | 2023 |
| Recognition of Similarities and Abnormalities in Chest Radiographs Erkennung von Ähnlichkeiten und Abnormalitäten in Thoraxröntgenbildern S Gündel | | |
Andreas K. MaierUniversity of Erlangen-NurembergVerified email at fau.de
