223 citations · 299 across the 7 of their papers we have counts for
4 papers · 1 filter
Search Wide, Focus Deep: Automated Fetal Brain Extraction with Sparse Training Data
Javid Dadashkarimi, Valeria Pena Trujillo, Camilo Jaimes +2
Automated fetal brain extraction from full-uterus MRI is a challenging task due to variable head sizes, orientations, complex anatomy, and prevalent artifacts. While deep-learning…
Boosting Skull-Stripping Performance for Pediatric Brain Images
William Kelley, Nathan Ngo, Adrian V. Dalca +3
Skull-stripping is the removal of background and non-brain anatomical features from brain images. While many skull-stripping tools exist, few target pediatric populations. With the…
Cortical surface registration using unsupervised learning
Jieyu Cheng, Adrian V. Dalca, Bruce Fischl +1
Non-rigid cortical registration is an important and challenging task due to the geometric complexity of the human cortex and the high degree of inter-subject variability. A convent…
Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0-2 years
Lilla Zöllei, Juan Eugenio Iglesias, Yangming Ou +2
The development of automated tools for brain morphometric analysis in infants has lagged significantly behind analogous tools for adults. This gap reflects the greater challenges i…