Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,General Medicine
Reference33 articles.
1. Wattjes, M., Steenwijk, M., & Stangel, M. (2015). MRI in the diagnosis and monitoring of multiple sclerosis: An update. Clinical neuroradiology, 25(2), 157–165.
2. Wu, Y., et al. (2006). Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI. NeuroImage, 32(3), 1205–1215.
3. Khayati, R., et al. (2008). A novel method for automatic determination of different stages of multiple sclerosis lesions in brain MR FLAIR images. Computerized Medical Imaging and Graphics, 32(2), 124–133.
4. Tadayon, E., et al. (2016). A novel method for automatic classification of multiple sclerosis lesion subtypes using diffusion tensor MR images. Biomedical Engineering: Applications, Basis and Communications, 28(05), 1650038.
5. Valcarcel, A. M., et al. (2018). A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosis. NeuroImage: Clinical, 20, 1211–1221.