241 citations · 264 across the 11 of their papers we have counts for
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cs.CV2021
Wiener Guided DIP for Unsupervised Blind Image Deconvolution
Gustav Bredell, Ertunc Erdil, Bruno Weber +1
Blind deconvolution is an ill-posed problem arising in various fields ranging from microscopy to astronomy. The ill-posed nature of the problem requires adequate priors to arrive t…
cs.CV2021
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
Krishna Chaitanya, Ertunc Erdil, Neerav Karani +1
Supervised deep learning-based methods yield accurate results for medical image segmentation. However, they require large labeled datasets for this, and obtaining them is a laborio…