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BMJ Neurology Open
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March 5, 2025
Validation of CT perfusion-based vascular territory mapping: correlation to visual pial grading and outcome measures
Michael Valente, Mark Parsons, Bernard Yan, et al.
Frontiers in Neurology
|
March 1, 2024
Novel artificial intelligence-based hypodensity detection tool improves clinician identification of hypodensity on non-contrast computed tomography in stroke patients
Angela Dos Santos, Milanka Visser, Longting Lin, et al.
Stroke
|
January 6, 2025
Novel Vascular Territory Mapping Algorithm as a Predictive Tool for Identification of Antegrade Flow in Middle Cerebral Artery Occlusion
Michael Valente, Andrew Bivard, Bernard Yan, et al.
Frontiers in Neurology
|
March 13, 2023
Machine learning segmentation of core and penumbra from acute stroke CT perfusion data
Freda Werdiger, Mark W Parsons, Milanka Visser, et al.
Stroke (Hoboken, N.J.)
|
January 26, 2026
Deep Learning-Based Prediction of Final Infarct Core from CT Perfusion Data: A Comparison to the Clinical Standard
Freda Werdiger, Milanka Visser, Chushuang Chen, et al.
Neuroimage. Reports
|
June 26, 2025
Clinical performance review for 3-D Deep Learning segmentation of stroke infarct from diffusion-weighted images
Freda Werdiger, Vignan Yogendrakumar, Milanka Visser, et al.
Neuroimage
|
March 18, 2023
Benchmark dataset for clot detection in ischemic stroke vessel-based imaging: CODEC-IV
Freda Werdiger, Milanka Visser, Andrew Bivard, et al.
European Journal of Radiology
|
May 6, 2023
Automated occlusion detection for the diagnosis of acute ischemic stroke: A detailed performance review
Freda Werdiger, Sunay Gotla, Milanka Visser, et al.
Neuroimage. Clinical
|
November 10, 2025
CT perfusion lesions are present in most MRI confirmed lacunar strokes
James O Thomas, Milanka Visser, Carlos Garcia-Esperon, et al.
Stroke
|
December 28, 2020
Role of Computed Tomography Perfusion in Identification of Acute Lacunar Stroke Syndromes
Carlos Garcia-Esperon, Milanka Visser, Leonid Churilov, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
BMJ Neurology Open
|
March 5, 2025
Validation of CT perfusion-based vascular territory mapping: correlation to visual pial grading and outcome measures
Michael Valente, Mark Parsons, Bernard Yan, et al.
Frontiers in Neurology
|
March 1, 2024
Novel artificial intelligence-based hypodensity detection tool improves clinician identification of hypodensity on non-contrast computed tomography in stroke patients
Angela Dos Santos, Milanka Visser, Longting Lin, et al.
Stroke
|
January 6, 2025
Novel Vascular Territory Mapping Algorithm as a Predictive Tool for Identification of Antegrade Flow in Middle Cerebral Artery Occlusion
Michael Valente, Andrew Bivard, Bernard Yan, et al.
Frontiers in Neurology
|
March 13, 2023
Machine learning segmentation of core and penumbra from acute stroke CT perfusion data
Freda Werdiger, Mark W Parsons, Milanka Visser, et al.
Stroke (Hoboken, N.J.)
|
January 26, 2026
Deep Learning-Based Prediction of Final Infarct Core from CT Perfusion Data: A Comparison to the Clinical Standard
Freda Werdiger, Milanka Visser, Chushuang Chen, et al.
Neuroimage. Reports
|
June 26, 2025
Clinical performance review for 3-D Deep Learning segmentation of stroke infarct from diffusion-weighted images
Freda Werdiger, Vignan Yogendrakumar, Milanka Visser, et al.
Neuroimage
|
March 18, 2023
Benchmark dataset for clot detection in ischemic stroke vessel-based imaging: CODEC-IV
Freda Werdiger, Milanka Visser, Andrew Bivard, et al.
European Journal of Radiology
|
May 6, 2023
Automated occlusion detection for the diagnosis of acute ischemic stroke: A detailed performance review
Freda Werdiger, Sunay Gotla, Milanka Visser, et al.
Neuroimage. Clinical
|
November 10, 2025
CT perfusion lesions are present in most MRI confirmed lacunar strokes
James O Thomas, Milanka Visser, Carlos Garcia-Esperon, et al.
Stroke
|
December 28, 2020
Role of Computed Tomography Perfusion in Identification of Acute Lacunar Stroke Syndromes
Carlos Garcia-Esperon, Milanka Visser, Leonid Churilov, et al.
Page
of 2