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Self-organizing maps as a tool for segmentation of Magnetic Resonance Imaging (MRI) of relapsing-remitting multiple sclerosis.

, , , , , и . WSOM, стр. 43-49. IEEE, (2017)

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Fabiano Molinaro

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Improving Automated Lung Segmentation in Ct Images by Adding Anomalies Adjacent to the Pleura., , , , , , и . ISBI, стр. 1-5. IEEE, (2022)Automated quality check of corpus callosum segmentation using deep learning., , , , , и . Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images., , , , и . EMBC, стр. 3169-3172. IEEE, (2021)An Approach for Asbestos-related Pleural Plaque Detection., , , , , и . EMBC, стр. 1343-1346. IEEE, (2020)Diffusion MRI and silver standard masks to improve CNN-based thalamus segmentation., , , , , , , , и . Image Processing, том 11596 из SPIE Proceedings, SPIE, (2021)Self-organizing maps as a tool for segmentation of Magnetic Resonance Imaging (MRI) of relapsing-remitting multiple sclerosis., , , , , и . WSOM, стр. 43-49. IEEE, (2017)A Supervoxel-Based Approach for Unsupervised Abnormal Asymmetry Detection in Mr Images of the Brain., , , , и . ISBI, стр. 882-885. IEEE, (2019)