Current automated tissue type segmentation approaches require extensive, time-consuming manual correction, creating a bottleneck in the analysis of large MRI datasets. Recent advances in computer vision enable superior deep learning-based automated segmentation approaches. Here we present FreeBoost, a fully automated tool for segmenting gray matter and white matter in T1 brain MRI.
Ph.D. candidate Bioengineering
Bioengineer specializing in deep learning for predictive modeling in synthetic biology and the biosciences
M.Sc. Statistics
Neuroscience pipelines guru.
Ph.D. Neuroscience
35+ publications. Multimodal image analysis and methods development. Stanford GSB Igniter