Hematoma expansion prediction in intracerebral hemorrhage patients by using synthesized CT images in an end-to-end deep learning framework

Author:

Yalcin CansuORCID,Abramova Valeriia,Terceño Mikel,Oliver Arnau,Silva Yolanda,Lladó Xavier

Funder

Government of Catalonia

Ministerio de Ciencia, Innovación y Universidades

Institució Catalana de Recerca i Estudis Avançats

Ministerio de Ciencia e Innovación

Universitat de Girona

Publisher

Elsevier BV

Reference47 articles.

1. Hemorrhagic stroke lesion segmentation using a 3d u-net with squeeze-and-excitation blocks;Abramova;Comput. Med. Imaging Graph.,2021

2. An end-to-end deep learning framework for predicting hematoma expansion in hemorrhagic stroke patients from ct images;Abramova;Appl. Sci.,2024

3. On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images;Alkhalil;Med. Image Anal.,2022

4. Early hemorrhage growth in patients with intracerebral hemorrhage;Brott;Stroke,1997

5. Accuracy of imaging markers on noncontrast computed tomography in predicting intracerebral hemorrhage expansion;Cai;Neurol. Res.,2020

同舟云学术

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