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Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials.

, , , , , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 15-28. Springer, (2017)

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Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes., , , and . MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 751-758. Springer, (2013)Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information., , , , , and . MIUA, page 351-356. BMVA, (2011)Existence Conditions for Discrete Noncanonical Multiwindow Gabor Schemes., and . IEEE Trans. Signal Processing, 55 (10): 5113-5117 (2007)Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials., , , , , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 15-28. Springer, (2017)Efficient Gabor expansion using non minimal dual Gabor windows., and . ICECS, page 650-653. IEEE, (2004)Macromolecular sequence analysis using multiwindow Gabor representations., and . Signal Processing, 88 (4): 877-890 (2008)An efficient analysis technique for DNA sequences using multiwindow Gabor representations., and . EUSIPCO, page 1-4. IEEE, (2005)IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI., , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 514-526. Springer, (2015)Dual Gabor frames: theory and computational aspects., , and . IEEE Trans. Signal Process., 53 (11): 4147-4158 (2005)Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information., , , , and . IEEE Trans. Biomed. Engineering, 62 (5): 1281-1292 (2015)