452 citations · 778 across the 26 of their papers we have counts for
3 papers · 1 filter
Institutionally Distributed Deep Learning Networks
Ken Chang, Niranjan Balachandar, Carson K Lam +6
Deep learning has become a promising approach for automated medical diagnoses. When medical data samples are limited, collaboration among multiple institutions is necessary to achi…
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
Andrew Beers, Ken Chang, James Brown +5
Deep learning has quickly become the weapon of choice for brain lesion segmentation. However, few existing algorithms pre-configure any biological context of their chosen segmentat…
Accelerated Reconstruction of Perfusion-Weighted MRI Enforcing Jointly Local and Nonlocal Spatio-temporal Constraints
Cagdas Ulas, Christine Preibisch, Jonathan Sperl +3
Perfusion-weighted magnetic resonance imaging (MRI) is an imaging technique that allows one to measure tissue perfusion in an organ of interest through the injection of an intravas…