141 citations · 198 across the 2 of their papers we have counts for
2 papers
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.…
cs.CV2018★ 57 cited
Developing Brain Atlas through Deep Learning
Asim Iqbal, Romesa Khan, Theofanis Karayannis
Neuroscientists have devoted significant effort into the creation of standard brain reference atlases for high-throughput registration of anatomical regions of interest. However, v…