5 papers
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…
Longitudinal analysis of fetal MRI in patients with prenatal spina bifida repair
Kelly Payette, Ueli Moehrlen, Luca Mazzone +5
Open spina bifida (SB) is one of the most common congenital defects and can lead to impaired brain development. Emerging fetal surgery methods have shown considerable success in th…
Postoperative brain volumes are associated with one-year neurodevelopmental outcome in children with severe congenital heart disease
Eliane Meuwly, Maria Feldmann, Walter Knirsch +8
Children with congenital heart disease (CHD) remain at risk for neurodevelopmental impairment despite improved peri- and intraoperative care. Our prospective cohort study aimed to…
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +421
Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritum…
Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging
Lin Zhang, Valery Vishnevskiy, Andras Jakab +1
Intravoxel incoherent motion (IVIM) imaging allows contrast-agent free in vivo perfusion quantification with magnetic resonance imaging (MRI). However, its use is limited by typica…