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Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI

2021 . Bengs, Marcel | Behrendt, Finn | Krüger, Julia | Opfer, Roland | Schlaefer, Alexander

UMLF-COVID: an unsupervised meta-learning model specifically designed to identify X-ray images of COVID-19 patients

2021 . Miao, Rui | Dong, Xin | Xie, Sheng-Li | Liang, Yong | Lo, Sio-Long

Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson’s disease using neuromelanin-sensitive MRI

2021 . Dünnwald, Max | Ernst, Philipp | Düzel, Emrah | Tönnies, Klaus | Betts, Matthew J. | Oeltze-Jafra, Steffen

Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network

2021 . Haubold, Johannes | Hosch, René | Umutlu, Lale | Wetter, Axel | Haubold, Patrizia | Radbruch, Alexander | Forsting, Michael | Nensa, Felix | Koitka, Sven

Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI

2021 . Ankenbrand, Markus | Shainberg, Liliia | Hock, Michael | Lohr, David | Schreiber, Laura M.

Fast body part segmentation and tracking of neonatal video data using deep learning

2020 . Hoog Antink, Christoph | Ferreira, Joana Carlos Mesquita | Paul, Michael | Lyra, Simon | Heimann, Konrad | Karthik, Srinivasa | Joseph, Jayaraj | Jayaraman, Kumutha | Orlikowsky, Thorsten | Sivaprakasam, Mohanasankar | Leonhardt, Steffen