1 citations · 1 across the 1 of their papers we have counts for
3 papers
Deep-learning-based acceleration of MRI for radiotherapy planning of pediatric patients with brain tumors
Shahinur Alam, Jinsoo Uh, Alexander Dresner +2
Magnetic Resonance Imaging (MRI) is a non-invasive diagnostic and radiotherapy (RT) planning tool, offering detailed insights into the anatomy of the human body. The extensive scan…
Joint Deformable Registration of Large EM Image Volumes: A Matrix Solver Approach
Khaled Khairy, Gennady Denisov, Stephan Saalfeld
Large electron microscopy image datasets for connectomics are typically composed of thousands to millions of partially overlapping two-dimensional images (tiles), which must be reg…
A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data
Randal Burns, Eric Perlman, Alex Baden +27
Big imaging data is becoming more prominent in brain sciences across spatiotemporal scales and phylogenies. We have developed a computational ecosystem that enables storage, visual…