Neurology | Radiology Factors influencing the reliability of a CT angiography-based deep learning method for infarct volume estimation. February 14, 2024
Neurology | Radiology Prediction of recurrent ischaemic stroke using radiomics data and machine learning methods in patients with acute ischaemic stroke: protocol for a multicentre, large sample, prospective observational cohort study in China. October 10, 2023
Neurology | Radiology FeMA: Feature matching auto-encoder for predicting ischaemic stroke evolution and treatment outcome. June 23, 2022
Neurology | Radiology Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke. June 24, 2021
Neurology | Radiology Efficient radiation dose reduction in whole-brain CT perfusion imaging using a 3D GAN: Performance and clinical feasibility. February 23, 2021
Neurology | Radiology Combining unsupervised and supervised learning for predicting the final stroke lesion. January 2, 2021
Neurology | Radiology Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme. June 13, 2019
Neurology | Radiology Deep Learning in the Prediction of Ischaemic Stroke Thrombolysis Functional Outcomes: A Pilot Study. May 4, 2019
Neurology | Radiology Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images. May 3, 2019