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The British Journal of Radiology|June 8, 2017
Intravoxel incoherent motion and dynamic contrast-enhanced MRI for differentiation between hepatocellular adenoma and focal nodular hyperplasiaNaim Jerjir, Luk Bruyneel, Marc Haspeslagh, et al.
Frontiers in Neurology|May 17, 2021
Validation of a Deep Learning Tool in the Detection of Intracranial Hemorrhage and Large Vessel OcclusionJoel McLouth, Sebastian Elstrott, Yasmina Chaibi, et al.
Diagnostics (Basel, Switzerland)|April 13, 2023
Deep Learning-Based Algorithm for Automatic Detection of Pulmonary Embolism in Chest CT AngiogramsPhilippe A Grenier, Angela Ayobi, Sarah Quenet, et al.
Clinical Imaging|August 2, 2024
Performance and clinical utility of an artificial intelligence-enabled tool for pulmonary embolism detectionAngela Ayobi, Peter D Chang, Daniel S Chow, et al.
European Journal of Radiology Open|September 11, 2025
Performance of an artificial intelligence tool for multi-step acute stroke imaging: A multicenter diagnostic studyThibault Agripnidis, Angela Ayobi, Sarah Quenet, et al.
AJNR. American Journal of Neuroradiology|September 10, 2024
Deep Learning-Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation TimeAngela Ayobi, Adam Davis, Peter D Chang, et al.
Diagnostics (Basel, Switzerland)|December 17, 2024
Enhancing Radiologist Efficiency with AI: A Multi-Reader Multi-Case Study on Aortic Dissection Detection and PrioritizationMartina Cotena, Angela Ayobi, Colin Zuchowski, et al.
Diagnostics (Basel, Switzerland)|September 14, 2024
Diagnostic Performance of a Deep Learning-Powered Application for Aortic Dissection Triage Prioritization and ClassificationVladimir Laletin, Angela Ayobi, Peter D Chang, et al.
Life (Basel, Switzerland)|November 27, 2024
Contribution of an Artificial Intelligence Tool in the Detection of Incidental Pulmonary Embolism on Oncology Assessment ScansSamy Ammari, Astrid Orfali Camez, Angela Ayobi, et al.
La Radiologia Medica|August 2, 2025
Deep learning-driven incidental detection of vertebral fractures in cancer patients: advancing diagnostic precision and clinical managementEl Mehdi Mniai, Vladimir Laletin, Lambros Tselikas, et al.
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