184 results on '"Bonkhoff, Anna K."'
Search Results
2. Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels
3. 3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images
4. Cognitive Demands Influence Upper Extremity Motor Performance During Recovery From Acute Stroke.
5. Fronto-striatal dynamic connectivity is linked to dopaminergic motor response in Parkinson's disease
6. Understanding Delays in MRI-based Selection of Large Vessel Occlusion Stroke Patients for Endovascular Thrombectomy
7. Sex‐Specific Effects of Endovascular Treatment in Large‐Vessel Occlusion Stroke
8. Prediction of stroke severity: systematic evaluation of lesion representations.
9. Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke
10. Association of Stroke Lesion Pattern and White Matter Hyperintensity Burden With Stroke Severity and Outcome
11. Reclassifying stroke lesion anatomy
12. Association of Infarct Topography and Outcome After Endovascular Thrombectomy in Patients With Acute Ischemic Stroke
13. Scaling behaviors of deep learning and linear algorithms for the prediction of stroke severity
14. 3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images
15. Abstract 251: Characterizing coma in patients presenting with large vessel occlusion stroke
16. Abstract 067: Outcomes for large vessel occlusion patients with severe baseline disability with and without endovascular thrombectomy
17. Female Stroke: Sex Differences in Acute Treatment and Early Outcomes of Acute Ischemic Stroke
18. Determinants of post-stroke cognitive impairment and dementia: association with objective measures and patient-reported outcomes
19. Veridical stimulus localization is linked to human area V5/MT+ activity
20. Abstract Number ‐ 34: Basal ganglia infarct volume and risk of hemorrhagic transformation after endovascular thrombectomy
21. Abstract WMP58: Scaling Behaviors Of Deep Learning And Linear Algorithms For The Prediction Of Stroke Severity
22. Abstract TMP72: Multimodal Prediction Of Stroke Severity
23. Spoke‐Administered Thrombolysis Improves Large‐Vessel Occlusion Early Recanalization: The Real‐World Experience of a Large Academic Hub‐and‐Spoke Telestroke Network
24. Scaling behaviors of deep learning and linear algorithms for the prediction of stroke severity
25. sj-docx-1-nnr-10.1177_15459683231179172 – Supplemental material for Altered Dynamic Resting State Functional Connectivity Associated With Somatosensory Impairments in the Upper Limb in the Early Sub-Acute Phase Post-Stroke
26. sj-docx-2-nnr-10.1177_15459683231179172 – Supplemental material for Altered Dynamic Resting State Functional Connectivity Associated With Somatosensory Impairments in the Upper Limb in the Early Sub-Acute Phase Post-Stroke
27. sj-docx-3-nnr-10.1177_15459683231179172 – Supplemental material for Altered Dynamic Resting State Functional Connectivity Associated With Somatosensory Impairments in the Upper Limb in the Early Sub-Acute Phase Post-Stroke
28. Direct to Angio‐Suite Large Vessel Occlusion Stroke Transfers Achieve Faster Arrival‐to‐Puncture Times and Improved Outcomes
29. Fronto-Striatal Dynamic Connectivity is linked to Dopaminergic Motor Response in Parkinson’s Disease
30. Characterizing Reasons for Stroke Thrombectomy Ineligibility Among Potential Candidates Transferred in a Hub‐and‐Spoke Network
31. Chapter 17 - Networks with lesions
32. Altered Dynamic Resting State Functional Connectivity Associated With Somatosensory Impairments in the Upper Limb in the Early Sub-Acute Phase Post-Stroke.
33. In a hub-and-spoke network, spoke-administered thrombolysis reduces mechanical thrombectomy procedure time and number of passes.
34. Deep profiling of multiple ischemic lesions in a large, multi-center cohort : Frequency, spatial distribution, and associations to clinical characteristics
35. Deep profiling of multiple ischemic lesions in a large, multi-center cohort: Frequency, spatial distribution, and associations to clinical characteristics
36. Sex-specific lesion pattern of functional outcomes after stroke
37. Recovery after stroke: the severely impaired are a distinct group
38. Development and Validation of Prediction Models for Severe Complications After Acute Ischemic Stroke: A Study Based on the Stroke Registry of Northwestern Germany
39. Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence
40. The relevance of rich club regions for functional outcome post‐stroke is enhanced in women.
41. In a hub-and-spoke network, spoke-administered thrombolysis reduces mechanical thrombectomy procedure time and number of passes
42. Development and Validation of Prediction Models for Severe Complications After Acute Ischemic Stroke: A Study Based on the Stroke Registry of Northwestern Germany
43. Deep profiling of multiple ischemic lesions in a large, multi-center cohort. Frequency, spatial distribution, and associations to clinical characteristics
44. Abstract TMP26: Understanding Changes In Thrombectomy Eligibility Among Large Vessel Occlusion Stroke Transfers In A Hub-and-spoke Telestroke System
45. Abstract TMP27: Direct To Angio-suite Large Vessel Occlusion Stroke Transfers Achieve Faster Arrival-to-puncture Times And Improved Outcomes
46. Bayesian stroke modeling details sex biases in the white matter substrates of aphasia
47. Recovery after stroke: the severely impaired are a distinct group
48. Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence
49. Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke.
50. Lesions in putative language and attention regions are linked to more severe strokes in patients with higher white matter hyperintensity burden
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