Search Results for author:
Found 11 papers, 1 papers with code
Coronary CTA and Quantitative Cardiac CT Perfusion (CCTP) in Coronary Artery Disease
CCTA in conjunction with a new automated quantitative CCTP approach can augment the interpretation of CAD, enabling the distinction of ischemia due to obstructive lesions and MVD.
AI prediction of cardiovascular events using opportunistic epicardial adipose tissue assessments from CT calcium score
Background: Recent studies have used basic epicardial adipose tissue (EAT) assessments (e. g., volume and mean HU) to predict risk of atherosclerosis-related, major adverse cardiovascular events (MACE).
Pericoronary adipose tissue feature analysis in CT calcium score images with comparison to coronary CTA
Preliminarily, PCAT features can be assessed from three main coronary arteries in non-contrast CTCS images with performance characteristics that are at the very least comparable to CCTA.
Deep learning segmentation of fibrous cap in intravascular optical coherence tomography images
We developed a fully-automated deep learning method for FC segmentation.
Enhancing cardiovascular risk prediction through AI-enabled calcium-omics
We used a Cox model with elastic-net regularization on 2457 CT calcium score (CTCS) enriched for MACE events obtained from a large no-cost CLARIFY program (ClinicalTri-als. gov Identifier: NCT04075162).
Cardiac CT perfusion imaging of pericoronary adipose tissue (PCAT) highlights potential confounds in coronary CTA
HU, blood flow, and radiomics were assessed over time.
Automated segmentation of microvessels in intravascular OCT images using deep learning
Data augmentation and pre-processing steps improved microvessel segmentation performance significantly, yielding a method with Dice of 0. 71+/-0. 10 and pixel-wise sensitivity/specificity of 87. 7+/-6. 6%/99. 8+/-0. 1%.
Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography
CONCLUSIONS We used calcifications and lumen features to identify lesions at risk of stent under-expansion.
OCTOPUS -- optical coherence tomography plaque and stent analysis software
Only up to 3. 8% of plaque pixels were modified, leading to an average editing time of only 7. 5 seconds/frame, an approximately 80% reduction compared to manual analysis.
Automated analysis of fibrous cap in intravascular optical coherence tomography images of coronary arteries
We developed an automated method that can detect lipidous plaque and assess fibrous cap thickness in IVOCT images.
Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network
Dual-energy (DE) chest radiographs provide greater diagnostic information than standard radiographs by separating the image into bone and soft tissue, revealing suspicious lesions which may otherwise be obstructed from view.
