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Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI.

, , , and . MIUA, volume 90 of Procedia Computer Science, page 9-14. Elsevier, (2016)

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A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data., , and . BIOSIGNALS, page 507-514. INSTICC Press, (2010)Hippocampal Shape Modeling Based on a Progressive Template Surface Deformation and its Verification., , , and . IEEE Trans. Med. Imaging, 34 (6): 1242-1261 (2015)Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images., , , , , , , , , and . Comput. Medical Imaging Graph., (2019)Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease., , , , , , and . MIUA, volume 1065 of Communications in Computer and Information Science, page 282-293. Springer, (2019)Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging., , , , , , , , , and 1 other author(s). MIUA, volume 12722 of Lecture Notes in Computer Science, page 151-164. Springer, (2021)Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI., , , and . MIUA, volume 90 of Procedia Computer Science, page 9-14. Elsevier, (2016)Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation., , , , , , , , , and 8 other author(s). SASHIMI@MICCAI, volume 9968 of Lecture Notes in Computer Science, page 87-96. (2016)Automatic Hippocampal Multimodal Assessment for Studies of Stroke and Small Vessel Disease., , , , , and . MIUA, page 33-38. BMVA, (2014)Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology., , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 482-493. Springer, (2017)Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme., , , and . Frontiers Neuroinformatics, (2019)