870 citations · 1.2k across the 29 of their papers we have counts for
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eess.IV2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chen Chen, Chen Qin, Cheng Ouyang +7
The success of neural networks on medical image segmentation tasks typically relies on large labeled datasets for model training. However, acquiring and manually labeling a large m…
eess.IV2021
Implicit field learning for unsupervised anomaly detection in medical images
Sergio Naval Marimont, Giacomo Tarroni
We propose a novel unsupervised out-of-distribution detection method for medical images based on implicit fields image representations. In our approach, an auto-decoder feed-forwar…