- Klinik für Diagnostische und Interventionelle Radiologie
- computer vision
- deep learning
- machine learning
- medical imaging
Albarqouni, S., Baur, C., Achilles, F., Belagiannis, V., Demirci, S. and Navab, N., 2016. Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images. IEEE Transactions on medical imaging, 35(5), pp.1313-1321.
Baur, C., Denner, S., Wiestler, B., Navab, N. and Albarqouni, S., 2021. Autoencoders for unsupervised anomaly segmentation in brain MR images: a comparative study. Medical Image Analysis, 69, p.101952.
Bercea, C.I., Wiestler, B., Rueckert, D. and Albarqouni, S., 2022. Federated disentangled representation learning for unsupervised brain anomaly detection. Nature Machine Intelligence, 4(8), pp.685-695.
Rieke, N., Hancox, J., Li, W., Milletarì, F., Roth, H.R., Albarqouni, S., Bakas, S., Galtier, M.N., Landman, B.A., Maier-Hein, K. and Ourselin, S., 2020. The future of digital health with federated learning. NPJ Digital Medicine, 3, 119.
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