Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data

Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI

(2019) S. Winzeck et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

(2018) Rainer Malik et al.   NATURE GENETICS

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks

(2017) Liang Chen et al.   NeuroImage-Clinical

Loci associated with ischaemic stroke and its subtypes (SiGN): a genome-wide association study

(2016) Sara L Pulit et al.   LANCET NEUROLOGY

Stroke Genetics Network (SiGN) Study

(2013) James F. Meschia et al.   STROKE

FSL

(2011) Mark Jenkinson et al.   NEUROIMAGE