Kambiz Nael

According to our database, Kambiz Nael authored at least 5 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

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

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

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, Samantha J. Holdsworth, Kambiz Nael, Mehmet Kurt

IEEE Trans. Medical Imaging, 2020