223 citations · 299 across the 7 of their papers we have counts for
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eess.IV2024
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…
eess.IV2024★ 22 cited
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…