1 citations · 1 across the 2 of their papers we have counts for
3 papers
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging
Ivan Zakazov, Vladimir Shaposhnikov, Iaroslav Bespalov +1
Generalizability of deep learning models may be severely affected by the difference in the distributions of the train (source domain) and the test (target domain) sets, e.g., when…
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation
Ivan Zakazov, Boris Shirokikh, Alexey Chernyavskiy +1
Domain Adaptation (DA) methods are widely used in medical image segmentation tasks to tackle the problem of differently distributed train (source) and test (target) data. We consid…
First U-Net Layers Contain More Domain Specific Information Than The Last Ones
Boris Shirokikh, Ivan Zakazov, Alexey Chernyavskiy +2
MRI scans appearance significantly depends on scanning protocols and, consequently, the data-collection institution. These variations between clinical sites result in dramatic drop…