Search Results for author: Kambiz Nael

Found 2 papers, 0 papers with code

Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models

no code implementations8 Feb 2023 Haoyue Zhang, Jennifer S. Polson, Eric J. Yang, Kambiz Nael, William Speier, Corey W. Arnold

This is a promising result that supports future applications of deep learning on CT and CTA for the identification of eligible AIS patients for MTB.

Computed Tomography (CT) Decision Making

Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time

no code implementations5 Nov 2020 Haoyue Zhang, Jennifer S Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El-Saden, Fabien Scalzo, William Speier, Corey W Arnold

We apply this approach to both 2D and 3D CNN architectures with our top model achieving an ROC-AUC value of 0. 74, with a sensitivity of 0. 70 and a specificity of 0. 81 for classifying TSS < 4. 5 hours.

Specificity Transfer Learning

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