43 citations · 60 across the 3 of their papers we have counts for
3 papers
eess.IV2023★ 1 cited
Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
Haoyue Zhang, Jennifer S. Polson, Eric J. Yang +3
For acute ischemic stroke (AIS) patients with large vessel occlusions, clinicians must decide if the benefit of mechanical thrombectomy (MTB) outweighs the risks and potential comp…
eess.IV2020★ 43 cited
Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time
Haoyue Zhang, Jennifer S Polson, Kambiz Nael +6
Treatment of acute ischemic strokes (AIS) is largely contingent upon the time since stroke onset (TSS). However, TSS may not be readily available in up to 25% of patients with unwi…
cs.LG2019★ 16 cited
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach
Wenyuan Li, Zichen Wang, Jiayun Li +3
Recently, semi-supervised learning methods based on generative adversarial networks (GANs) have received much attention. Among them, two distinct approaches have achieved competiti…