Amplified Flow Imaging (aFlow): A Novel MRI-Based Tool to Unravel the Coupled Dynamics Between the Human Brain and Cerebrovasculature. - Javid Abderezaei; John Martinez; Itamar Terem; Gloria Fabris; Aymeric Pionteck; Yang Yang 110; Samantha J. Holdsworth; Kambiz Nael; Mehmet Kurt (IEEE Trans. Medical Imaging, 2020)

A Machine Learning Approach to Predict Acute Ischemic Stroke Thrombectomy Reperfusion using Discriminative MR Image Features. - Haoyue Zhang; Jennifer Polson; Kambiz Nael; Noriko Salamon; Bryan Yoo; William Speier; Corey W. Arnold (BHI, 2021)

A Semi-Supervised Learning Framework to Leverage Proxy Information for Stroke MRI Analysis. - Jennifer Polson; Haoyue Zhang; Kambiz Nael; Noriko Salamon; Bryan Yoo; Namkug Kim; Dong-Wha Kang; William Speier; Corey W. Arnold (EMBC, 2021)

Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time. - Haoyue Zhang; Jennifer S. Polson; Kambiz Nael; Noriko Salamon; Bryan Yoo; Suzie El-Saden; Fabien Scalzo; William Speier; Corey W. Arnold (Comput. Medical Imaging Graph., 2021)

Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models. - Haoyue Zhang; Jennifer S. Polson; Eric J. Yang; Kambiz Nael; William Speier; Corey W. Arnold (CoRR, 2023)

DSA-NRP: No-Reflow Prediction from Angiographic Perfusion Dynamics in Stroke EVT. - Shreeram Athreya; Carlos Olivares; Ameera Ismail; Kambiz Nael; William Speier; Corey W. Arnold (CoRR, 2025)