CAR-Net: A Deep Learning-Based Deformation Model for 3D/2D Coronary Artery Registration
Author:
Affiliation:
1. Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
2. Department of Cardiology, Peking Union Medical College Hospital, Peking, China
Funder
National Key Research and Development Program
Beijing Municipal Natural Science Foundation
863 National Research Fund
Institute of Medical Robotics (IMR) through Shanghai Jiao Tong University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software
Link
http://xplorestaging.ieee.org/ielx7/42/9906463/09759389.pdf?arnumber=9759389
Reference35 articles.
1. Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data
2. Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
3. Standardized evaluation methodology for 2-D-3-D registration
4. Soft-DTW: A differentiable loss function for time-series;cuturi;Proc Int Conf Mach Learn,2017
5. Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Computer Aided Intracranial Aneurysm Treatment Based on 2D/3D Mapping, Virtual Deployment and Online Distal Marker Detection;Cardiovascular Engineering and Technology;2024-08-19
2. Revolutionising Acute Cardiac Care With Artificial Intelligence: Opportunities and Challenges;Canadian Journal of Cardiology;2024-06
3. Fast X-ray/CT image registration based on perspective projection triangular features;Computerized Medical Imaging and Graphics;2024-03
4. 3D/2D Vessel Registration based on Monte Carlo Tree Search and Manifold Regularization;IEEE Transactions on Medical Imaging;2024
5. Exhaustive matching of 3D/2D coronary artery structure based on imperfect segmentations;International Journal of Computer Assisted Radiology and Surgery;2023-06-18
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3