21 citations · 30 across the 4 of their papers we have counts for
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eess.IV2019
Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans
Michał Marcinkiewicz, Grzegorz Mrukwa
Over the last few years, deep learning has proven to be a great solution to many problems, such as image or text classification. Recently, deep learning-based solutions have outper…
eess.IV2019
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz +8
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in diagnosis and grading of brain tumor. Although manual DCE biomarker extraction algorithms…