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An Explainable AI model in the assessment of Multiple Sclerosis using clinical data and Brain MRI lesion texture features *.

, , , , and . BHI, page 1-4. IEEE, (2023)

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An Automated 2D U-Net Segmentation Method for the Identification of Cancer Brain Metastases Using MRI Images., , , and . AIAI Workshops, volume 652 of IFIP Advances in Information and Communication Technology, page 161-173. Springer, (2022)An Explainable Artificial Intelligence model in the assessment of Brain MRI Lesions in Multiple Sclerosis using Amplitude Modulation - Frequency Modulation multi-scale feature sets., , , , , , and . DSP, page 1-4. IEEE, (2023)Speckle reduction in ultrasound images of atherosclerotic carotid plaque., , , , , and . DSP, page 525-528. IEEE, (2002)Brain White Matter Lesions Classification in Multiple Sclerosis Subjects for the Prognosis of Future Disability., , , , , and . EANN/AIAI (2), volume 364 of IFIP Advances in Information and Communication Technology, page 400-409. Springer, (2011)Despeckle Filtering for Multiscale Amplitude-Modulation Frequency-Modulation (AM-FM) Texture Analysis of Ultrasound Images of the Intima-Media Complex., , , , , and . Int. J. Biomedical Imaging, (2014)Multiple Sclerosis Disease Evolution Assessment in Brain MRI Lesions Based on Texture and Multi-Scale Amplitude Modulation-Frequency Modulation (AM-FM) Features., , , , , and . IEEE Access, (2023)Manual and automated intima-media thickness and diameter measurements of the common carotid artery in patients with renal failure disease., , , , and . Comput. Biol. Medicine, (2014)Ultrasound diaphragmatic manual and semi-automated motion measurements: Application in simulated and in vivo data of critically ill subjects., , , and . Comput. Methods Programs Biomed., (2020)Semi-automated Lesions Segmentation of Brain Metastases in MRI Images., , and . CAIP (1), volume 14184 of Lecture Notes in Computer Science, page 216-226. Springer, (2023)An Adaptive Semi-automated Integrated System for Multiple Sclerosis Lesion Segmentation in Longitudinal MRI Scans Based on a Convolutional Neural Network., , , , and . CAIP (1), volume 13052 of Lecture Notes in Computer Science, page 256-265. Springer, (2021)