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276 results on '"Multiple sclerosis lesion"'

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2. CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation

3. Absence of miRNA-146a Differentially Alters Microglia Function and Proteome

9. Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation

10. A Fast Approach to Automatic Detection of Brain Lesions

11. Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting

12. Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis

14. Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image

15. A Robust Energy Minimization Algorithm for MS-Lesion Segmentation

16. q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans

17. IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI

20. White Matter Repair in Subcortical Stroke

21. Longitudinal Intensity Normalization in Multiple Sclerosis Patients

22. A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions

23. False Positives Reduction on Segmented Multiple Sclerosis Lesions Using Fuzzy Inference System by Incorporating Atlas Prior Anatomical Knowledge: A Conceptual Model

24. A Modality-Agnostic Patch-Based Technique for Lesion Filling in Multiple Sclerosis

25. Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors

26. Bayesian Model Selection for Pathological Data

32. Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding

33. A Supervised Approach for Multiple Sclerosis Lesion Segmentation Using Context Features and an Outlier Map

40. Segmenting Multiple Sclerosis Lesions Using a Spatially Constrained K-Nearest Neighbour Approach

41. Clustering through SOM Consistency

44. Joint Histogram Modelling for Segmentation Multiple Sclerosis Lesions

46. Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis

47. Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images

48. Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images

49. T-Cells in Multiple Sclerosis

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