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Hippocampal Shape Modeling Based on a Progressive Template Surface Deformation and its Verification., , , and . IEEE Trans. Med. Imaging, 34 (6): 1242-1261 (2015)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)Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images., , , , , , , , , and . Comp. Med. Imag. and Graph., (2019)A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data., , and . BIOSIGNALS, page 507-514. INSTICC Press, (2010)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)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 . Front. Neuroinform., (2019)Automatic Irregular Texture Detection in Brain MRI Without Human Supervision., , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 506-513. Springer, (2018)Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering., , , , , , and . CoRR, (2017)3D shape analysis of the brain's third ventricle using a midplane encoded symmetric template model., , , , , , , , , and . Computer Methods and Programs in Biomedicine, (2016)