141 citations · 404 across the 14 of their papers we have counts for
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eess.IV2020★ 141 cited
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset
Kelly Payette, Priscille de Dumast, Hamza Kebiri +17
It is critical to quantitatively analyse the developing human fetal brain in order to fully understand neurodevelopment in both normal fetuses and those with congenital disorders.…
eess.IV2020
Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labels
Kelly Payette, Raimund Kottke, Andras Jakab
Segmentation of the developing fetal brain is an important step in quantitative analyses. However, manual segmentation is a very time-consuming task which is prone to error and mus…