Advances in diagnosis, therapy, and prognosis of coronary artery disease powered by deep learning algorithms

M Chu, P Wu, G Li, W Yang, JL Gutiérrez-Chico, S Tu - Jacc: Asia, 2023 - jacc.org
Percutaneous coronary intervention has been a standard treatment strategy for patients with
coronary artery disease with continuous ebullient progress in technology and techniques …

Stu-net: Scalable and transferable medical image segmentation models empowered by large-scale supervised pre-training

Z Huang, H Wang, Z Deng, J Ye, Y Su, H Sun… - ar**, Virtual Deployment and Online Distal Marker Detection
N Dazeo, JI Orlando, C García, R Muñoz… - Cardiovascular …, 2024 - Springer
Purpose To introduce a computational tool for peri-interventional intracranial aneurysm
treatment guidance that maps preoperative planning information from simulation onto real …

A Patient-specific Registration of Coronary Angiogram-Fluoroscopy by Similarity-based Transfer Learning

C Kim, D Jeong, D Kim, J Ryu, KH Cho - IEEE Access, 2024 - ieeexplore.ieee.org
Percutaneous coronary intervention (PCI) is an effective treatment for normalizing blood flow
in coronary arteries narrowed by stent implantation. Guidewire insertion during PCI requires …

Fast X-ray/CT image registration based on perspective projection triangular features

Y Sun, H Zhang, X Chen, S Huang, L Bai - Computerized Medical Imaging …, 2024 - Elsevier
X-ray/CT image registration plays a pivotal role in enhancing surgical navigation success
rates. However, challenges stemming from sparse and noisy X-ray image features, coupled …

Image binary classification of coronary artery stenosis based on resnet18 and transfer learning

X Ye, Y **, Z Wang, N Feng, L Mu… - 2023 35th Chinese …, 2023 - ieeexplore.ieee.org
Classification detection of coronary artery stenosis plays a vital role in assisting physicians
to diagnose cardiovascular diseases. To classify the degree of coronary stenosis accurately …