99 citations · 108 across the 20 of their papers we have counts for
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Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application
Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov +6
We systematically evaluate a Deep Learning (DL) method in a 3D medical image segmentation task. Our segmentation method is integrated into the radiosurgery treatment process and di…
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…
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation
Talgat Saparov, Anvar Kurmukov, Boris Shirokikh +1
Domain shift is one of the most salient challenges in medical computer vision. Due to immense variability in scanners' parameters and imaging protocols, even images obtained from t…