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2. Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels

3. Brain volume: An important determinant of functional outcome after acute ischemic stroke

4. Association of common genetic variants with brain microbleeds: A Genome-wide Association Study

5. Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation

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

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

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

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

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

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

13. A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology

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

18. White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtype

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

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

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

25. Design and rationale for examining neuroimaging genetics in ischemic stroke: The MRI-GENIE study

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

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

31. The relevance of rich club regions for functional outcome post-stroke is enhanced in women

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

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

36. The relevance of rich club regions for functional outcome post‐stroke is enhanced in women.

38. L’âge cérébral radiomique prédit le pronostic fonctionnel après un avc ischémique.

39. Genome-Wide Association Analysis of Young-Onset Stroke Identifies a Locus on Chromosome 10q25 Near HABP2

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

42. Lesions in putative language and attention regions are linked to more severe strokes in patients with higher white matter hyperintensity burden

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

44. Family History in Young Patients With Stroke

45. Brain Magnetic Resonance Imaging Findings Fail to Suspect Fabry Disease in Young Patients With an Acute Cerebrovascular Event

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

47. MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes

48. Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors

49. Abnormal dynamic functional connectivity is linked to recovery after acute ischemic stroke

50. Abnormal dynamic functional connectivity is linked to recovery after acute ischemic stroke

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