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2. International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery

3. Domain-Specific Outcomes for Stroke Clinical Trials: What the Modified Rankin Isn't Ranking.

6. Factor XIa inhibition with asundexian after acute non-cardioembolic ischaemic stroke (PACIFIC-Stroke): an international, randomised, double-blind, placebo-controlled, phase 2b trial

8. Multi‐phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations

9. European stroke organisation (ESO) guideline on cerebral small vessel disease, part 2, lacunar ischaemic stroke

10. Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke

11. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

12. Contribution of Common Genetic Variants to Risk of Early Onset Ischemic Stroke

13. Association of Stroke Lesion Pattern and White Matter Hyperintensity Burden With Stroke Severity and Outcome

18. Diversity in genetic risk of recurrent stroke: a genome-wide association study meta-analysis

19. European stroke organisation (ESO) guideline on cerebral small vessel disease, part 2, lacunar ischaemic stroke

21. Scaling behaviors of deep learning and linear algorithms for the prediction of stroke severity

23. A novel scatterplot-based method to detect copy number variation (CNV)

25. Abstract WMP58: Scaling Behaviors Of Deep Learning And Linear Algorithms For The Prediction Of Stroke Severity

26. Abstract TMP72: Multimodal Prediction Of Stroke Severity

27. Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data

28. Serum magnesium and calcium levels in relation to ischemic stroke: Mendelian randomization study

29. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

30. A novel scatterplot-based method to detect copy number variation (CNV).

31. Scaling behaviors of deep learning and linear algorithms for the prediction of stroke severity

33. Deep profiling of multiple ischemic lesions in a large, multi-center cohort: Frequency, spatial distribution, and associations to clinical characteristics

34. Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

35. Stroke genetics informs drug discovery and risk prediction across ancestries

36. Sex-specific lesion pattern of functional outcomes after stroke

41. Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke

42. Recommendations From the International Stroke Genetics Consortium, Part 1: Standardized Phenotypic Data Collection

43. International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery

44. sj-pdf-1-wso-10.1177_17474930211007288 - Supplemental material for International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery

45. sj-pdf-2-wso-10.1177_17474930211007288 - Supplemental material for International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery

46. sj-pdf-3-wso-10.1177_17474930211007288 - Supplemental material for International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery

47. ESO Guideline on covert cerebral small vessel disease

50. Abstract WP73: Automatic Classification of Clinical MRI Stroke Datasets With a Recurrent Convolutional Neural Network

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