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Could Blockchain Technology Empower Patients, Improve Education, and Boost Research in Radiology Departments? An Open Question for Future Applications., , , , , and . J. Digit. Imaging, 32 (6): 1112-1115 (2019)MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study., , , , , , , , , and 2 other author(s). J. Digit. Imaging, 33 (4): 879-887 (2020)Imaging of thyroid tumor angiogenesis with microbubbles targeted to vascular endothelial growth factor receptor type 2 in mice., , , , , , , , , and . BMC Medical Imaging, (2013)An Ontology Approach for Classification of Abnormal White Matter in Patients with Multiple Sclerosis., , , and . USAB, volume 4799 of Lecture Notes in Computer Science, page 389-402. Springer, (2007)Brain anatomical substrates of mirror movements in Kallmann syndrome., , , , , , , , , and 12 other author(s). NeuroImage, (2015)An MRI digital brain phantom for validation of segmentation methods., , , , , , , , , and 1 other author(s). Medical Image Anal., 15 (3): 329-339 (2011)Grey matter loss in relapsing-remitting multiple sclerosis: A voxel-based morphometry study., , , , , , , , , and 2 other author(s). NeuroImage, 29 (3): 859-867 (2006)Repeatability, Reproducibility and Standardisation of a Laser Doppler Imaging Technique for the Evaluation of Normal Mouse Hindlimb Perfusion., , , , , , , , , and . Sensors, 13 (1): 500-515 (2013)Stereotaxy-Based Regional Brain Volumetry Applied to Segmented MRI: Validation and Results in Deficit and Nondeficit Schizophrenia., , , , , , , , and . NeuroImage, 17 (1): 373-384 (2002)Brain tissue volume changes in relapsing-remitting multiple sclerosis: correlation with lesion load., , , , , , , , , and . NeuroImage, 18 (2): 360-366 (2003)