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Quantitative Imaging in Medicine and Surgery|September 15, 2023
Development of machine learning models for predicting outcome in patients with distal medium vessel occlusions: a retrospective studyBurak Berksu Ozkara, Mert Karabacak, Apoorva Kotha, et al.
AJNR. American Journal of Neuroradiology|May 14, 2004
Dynamic perfusion CT: optimizing the temporal resolution and contrast volume for calculation of perfusion CT parameters in stroke patientsMax Wintermark, Wade S Smith, Nerissa U Ko, et al.
Annals of Neurology|April 14, 2007
Systematic comparison of perfusion-CT and CT-angiography in acute stroke patientsJessica C Tan, William P Dillon, Songling Liu, et al.
International Journal of Stroke : Official Journal of the International Stroke Society|November 4, 2016
Number needed to screen for acute revascularization trials in stroke: Prognostic and predictive imaging biomarkersQinghua Hou, James L Patrie, Wenjun Xin, et al.
Journal of the American College of Radiology : JACR|August 13, 2023
Value Proposition of FDA-Approved Artificial Intelligence Algorithms for NeuroimagingSuryansh Bajaj, Mihir Khunte, Nagaraj S Moily, et al.
Contemporary Clinical Trials Communications|April 24, 2019
A statistical approach to identify optimal inclusion criteria: An application to acute stroke clinical trialsRobyn L Ball, Bin Jiang, Manisha Desai, et al.
Academic Radiology|December 4, 2024
Trends in Faculty Tenure Status and Diversity in Academic Radiology Departments in the United StatesAjay Malhotra, Dheeman Futela, Seyedmehdi Payabvash, et al.
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