Neurology | Radiology Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols. September 12, 2022
Neurology | Radiology Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data – A systematic review. January 28, 2021
Neurology | Radiology Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks. May 19, 2020
Neurology | Radiology Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images. December 17, 2019
Neurology | Radiology Dilated Saliency U-Net for White Matter Hyperintensities Segmentation Using Irregularity Age Map. July 23, 2019
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 Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images. May 3, 2019
Neurology | Radiology Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology. April 9, 2019