Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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Automated deep-neural-network surveillance of cranial images for acute neurologic events

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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis

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PItcHPERFeCT: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on CT

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Assessment of the ABC/2 Method of Epidural Hematoma Volume Measurement as Compared to Computer-Assisted Planimetric Analysis

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Computer science: The learning machines

(2014) Nicola Jones   NATURE

Intracranial hemorrhage detection using spatial fuzzy c-mean and region-based active contour on brain CT imaging

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CT stroke window settings: an unfortunate misleading misnomer?

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Stroke treatment with alteplase given 3·0–4·5 h after onset of acute ischaemic stroke (ECASS III): additional outcomes and subgroup analysis of a randomised controlled trial

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