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MR Multi-Spectral Texture Analysis Using Space-Frequency Information.

, , , , , and . METMBS, page 173-179. CSREA Press, (2004)

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Segmentation of multiple sclerosis lesions using support vector machines., , , , and . Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)T2 MRI texture analysis is a sensitive measure of tissue injury and recovery resulting from acute inflammatory lesions in multiple sclerosis., , , , and . NeuroImage, 47 (1): 107-111 (2009)Adaptive noise correction of dual-energy computed tomography images., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (4): 667-678 (2016)A region of interest based approach for texture analysis of medical images in space-frequency domain., , and . Biomed. Signal Process. Control., (2019)MR Multi-Spectral Texture Analysis Using Space-Frequency Information., , , , , and . METMBS, page 173-179. CSREA Press, (2004)Predicting MGMT Methylation Status of Glioblastomas from MRI Texture., , , , , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 522-530. Springer, (2009)Multiexponential T2 and magnetization transfer MRI of demyelination and remyelination in murine spinal cord., , , , , and . NeuroImage, 45 (4): 1173-1182 (2009)A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type., , , , , , , , and . J. Digit. Imaging, 33 (2): 439-446 (2020)Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet., , , , , , , and . CoRR, (2020)Evaluating the impact on operator performance of quantification algorithms., , , , , and . Medical Imaging: Image Processing, volume 2710 of SPIE Proceedings, SPIE, (1996)