29 citations · 72 across the 12 of their papers we have counts for
12 papers
Uncertainty-Aware Structured Data Extraction from Full CMR Reports via Distilled LLMs
Yi Yu, Parker Martin, Zhenyu Bu +5
Converting free-text cardiac magnetic resonance (CMR) reports into auditable structured data remains a bottleneck for cohort assembly, longitudinal curation, and clinical decision…
Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation
Yidong Zhao, Peter Kellman, Hui Xue +5
Pretrained segmentation models for cardiac magnetic resonance imaging (MRI) struggle to generalize across different imaging sequences due to significant variations in image contras…
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
Yidong Zhao, Yi Zhang, Orlando Simonetti +2
Accurate biventricular segmentation of cardiac magnetic resonance (CMR) cine images is essential for the clinical evaluation of heart function. However, compared to left ventricle…
Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis
Dilek M. Yalcinkaya, Khalid Youssef, Bobak Heydari +8
Background. Fully automatic analysis of myocardial perfusion MRI datasets enables rapid and objective reporting of stress/rest studies in patients with suspected ischemic heart dis…
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets
Dilek M. Yalcinkaya, Khalid Youssef, Bobak Heydari +4
Dynamic contrast-enhanced (DCE) cardiac magnetic resonance imaging (CMRI) is a widely used modality for diagnosing myocardial blood flow (perfusion) abnormalities. During a typical…
Cardiac and respiratory motion extraction for MRI using Pilot Tone-a patient study
Chong Chen, Yingmin Liu, Orlando P. Simonetti +5
Background: Several studies have shown that both respiratory and cardiac motion can be extracted from the Pilot Tone (PT) signal successfully. However, most of these studies were p…