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Neuroimage
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May 6, 2014
Lesion segmentation from multimodal MRI using random forest following ischemic stroke
Jhimli Mitra, Pierrick Bourgeat, Jurgen Fripp, et al.
Stroke
|
August 18, 2021
Automated Perfusion-Diffusion Magnetic Resonance Imaging in Childhood Arterial Ischemic Stroke
Melissa J Visser, Joseph Yuan-Mou Yang, Fernando Calamante, et al.
International Journal of Stroke : Official Journal of the International Stroke Society
|
June 6, 2015
The association between lesion location and functional outcome after ischemic stroke
Nawaf Yassi, Leonid Churilov, Bruce C V Campbell, et al.
Stroke
|
September 5, 2013
Prediction of poststroke hemorrhagic transformation using computed tomography perfusion
Nawaf Yassi, Mark W Parsons, Søren Christensen, et al.
CNS Neuroscience & Therapeutics
|
November 17, 2021
Does variability in automated perfusion software outputs for acute ischemic stroke matter? Reanalysis of EXTEND perfusion imaging
Andrew Bivard, Leonid Churilov, Henry Ma, et al.
Neurology
|
April 22, 2022
Accuracy of CT Perfusion-Based Core Estimation of Follow-up Infarction: Effects of Time Since Last Known Well
Amrou Sarraj, Bruce C V Campbell, Soren Christensen, et al.
Physiological Measurement
|
November 27, 2025
Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers
Márton Áron Goda, Helen Badge, Jasmeen Khan, et al.
Frontiers in Chemistry
|
May 7, 2019
Elucidating the Lipid Binding Properties of Membrane-Active Peptides Using Cyclised Nanodiscs
Alan H Zhang, Ingrid A Edwards, Biswa P Mishra, et al.
International Journal of Stroke : Official Journal of the International Stroke Society
|
October 17, 2014
Imaging selection in ischemic stroke: feasibility of automated CT-perfusion analysis
Bruce C V Campbell, Nawaf Yassi, Henry Ma, et al.
Neuroradiology
|
July 6, 2016
Software output from semi-automated planimetry can underestimate intracerebral haemorrhage and peri-haematomal oedema volumes by up to 41
Teddy Y Wu, Oluwaseun Sobowale, Robert Hurford, et al.
Page
of 8
Search research articles
Search
Showing results (21-30 of 71) with videos related to
Sort By:
Page
of 8
Neuroimage
|
May 6, 2014
Lesion segmentation from multimodal MRI using random forest following ischemic stroke
Jhimli Mitra, Pierrick Bourgeat, Jurgen Fripp, et al.
Stroke
|
August 18, 2021
Automated Perfusion-Diffusion Magnetic Resonance Imaging in Childhood Arterial Ischemic Stroke
Melissa J Visser, Joseph Yuan-Mou Yang, Fernando Calamante, et al.
International Journal of Stroke : Official Journal of the International Stroke Society
|
June 6, 2015
The association between lesion location and functional outcome after ischemic stroke
Nawaf Yassi, Leonid Churilov, Bruce C V Campbell, et al.
Stroke
|
September 5, 2013
Prediction of poststroke hemorrhagic transformation using computed tomography perfusion
Nawaf Yassi, Mark W Parsons, Søren Christensen, et al.
CNS Neuroscience & Therapeutics
|
November 17, 2021
Does variability in automated perfusion software outputs for acute ischemic stroke matter? Reanalysis of EXTEND perfusion imaging
Andrew Bivard, Leonid Churilov, Henry Ma, et al.
Neurology
|
April 22, 2022
Accuracy of CT Perfusion-Based Core Estimation of Follow-up Infarction: Effects of Time Since Last Known Well
Amrou Sarraj, Bruce C V Campbell, Soren Christensen, et al.
Physiological Measurement
|
November 27, 2025
Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers
Márton Áron Goda, Helen Badge, Jasmeen Khan, et al.
Frontiers in Chemistry
|
May 7, 2019
Elucidating the Lipid Binding Properties of Membrane-Active Peptides Using Cyclised Nanodiscs
Alan H Zhang, Ingrid A Edwards, Biswa P Mishra, et al.
International Journal of Stroke : Official Journal of the International Stroke Society
|
October 17, 2014
Imaging selection in ischemic stroke: feasibility of automated CT-perfusion analysis
Bruce C V Campbell, Nawaf Yassi, Henry Ma, et al.
Neuroradiology
|
July 6, 2016
Software output from semi-automated planimetry can underestimate intracerebral haemorrhage and peri-haematomal oedema volumes by up to 41
Teddy Y Wu, Oluwaseun Sobowale, Robert Hurford, et al.
Page
of 8