309 citations · 311 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation
Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov +5
Target imbalance affects the performance of recent deep learning methods in many medical image segmentation tasks. It is a twofold problem: class imbalance - positive class (lesion…
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification
Mikhail Goncharov, Maxim Pisov, Alexey Shevtsov +8
The current COVID-19 pandemic overloads healthcare systems, including radiology departments. Though several deep learning approaches were developed to assist in CT analysis, nobody…
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification
Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov +4
Vertebral body compression fractures are reliable early signs of osteoporosis. Though these fractures are visible on Computed Tomography (CT) images, they are frequently missed by…