Sören Christensen

Underestimation of Follow-Up Infarct Volume by Acute CT Perfusion Imaging

Abstract WP196: Comparing hypodensity and volume measurements for ischemic stroke patients in admission CT between CTP ischemic core, DWI, and deep learning based CT regions of interest

Abstract DP18: Deep learning based CT volume and density measures are associated with infarct growth rate during interhospital transfer for endovascular treatment

Impact of Helicopter Transfer on Recanalization and Outcomes in Anterior Large Vessel Occlusion Strokes

Anatomical predictors of gastrostomy tube placement after large vessel occlusion ischemic stroke

Arterial Recanalization During Interhospital Transfer for Thrombectomy

Clinical change during inter-hospital transfer for thrombectomy: Incidence, associated factors, and relationship with outcome

Blood–brain barrier profile pretreatment is associated with hemorrhagic transformation after endovascular reperfusion

Abstract 23: Results of CRISP2: CTP and CTA Assessment of Collaterals Predicts Inter-Hospital Infarct Growth

Abstract 129: An Automated Perfusion Collateral Score as a Tool to Predict Inter-Hospital Infarct Growth and Functional Outcome

Abstract WP117: Improvement of Collateral Status in Thrombectomy-Eligible Stroke Patients During Inter-Hospital Transfer: Association With Clinical Factors and Outcome

Abstract TMP91: Clinical Change During Inter-Hospital Transfer for Thrombectomy: Incidence, Associated Factors and Relationship With Outcome

Determinants of Infarct Core Growth During Inter‐hospital Transfer for Thrombectomy

USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging

Quantification of Penumbral Volume in Association With Time From Stroke Onset in Acute Ischemic Stroke With Large Vessel Occlusion

Anatomical predictors of need for decompressive craniectomy after stroke using voxel‐based lesion symptom mapping

Abstract WP104: Core/perfusion Mismatch Prevalence According To ASPECT Score In Acute Ischemic Stroke With Large Vessel Occlusion.

Abstract TMP68: Core/perfusion Mismatch In Acute Ischemic Stroke With M2 Occlusion: Prevalence And Associated Factors.

Abstract 6: Relationship Between Hypoperfusion Intensity Ratio And Ischemic Core Growth Rate Is Similar On CT And MRI For Unselected Acute LVO Patients

Predicting final ischemic stroke lesions from initial diffusion-weighted images using a deep neural network

Abstract 8: Hypoperfusion Lesion And Target Mismatch Prediction In Acute Ischemic Stroke From Baseline Mr Diffusion Imaging Using A 3d Convolutional Neural Network

Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge

Assessment of Optimal Patient Selection for Endovascular Thrombectomy Beyond 6 Hours After Symptom Onset

Perfusion imaging-based tissue-level collaterals predict ischemic lesion net water uptake in patients with acute ischemic stroke and large vessel occlusion

Perfusion Imaging and Clinical Outcome in Acute Ischemic Stroke with Large Core

Prediction of Stroke Infarct Growth Rates by Baseline Perfusion Imaging

Abstract P333: Prediction of Stroke Lesion Growth Rates by Baseline Perfusion Imaging

Abstract P321: The Cerebral Collateral Cascade: Rethinking the Assessment of Vascular Pathways in Acute Ischemic Stroke Patients

Abstract P325: Validation of Deep Learning Based Critical Hypoperfusion and Ischemic Core Prediction in a Multicenter External Randomized Controlled Trial

Review of Perfusion Imaging in Acute Ischemic Stroke