L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration

IF 3.2 4区 医学 Q2 ENGINEERING, BIOMEDICAL Biomedical Engineering Letters Pub Date : 2024-01-10 DOI:10.1007/s13534-023-00344-1
Liwei Deng, Yanchao Zou, Xin Yang, Jing Wang, Sijuan Huang
{"title":"L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration","authors":"Liwei Deng, Yanchao Zou, Xin Yang, Jing Wang, Sijuan Huang","doi":"10.1007/s13534-023-00344-1","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":46898,"journal":{"name":"Biomedical Engineering Letters","volume":"6 6","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Engineering Letters","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s13534-023-00344-1","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
L2NLF：用于多模态医学图像配准的新型线性到非线性框架
本文章由计算机程序翻译，如有差异，请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Biomedical Engineering Letters
Biomedical Engineering Letters ENGINEERING, BIOMEDICAL-
CiteScore
6.80
自引率
0.00%
发文量
34
期刊介绍： Biomedical Engineering Letters (BMEL) aims to present the innovative experimental science and technological development in the biomedical field as well as clinical application of new development. The article must contain original biomedical engineering content, defined as development, theoretical analysis, and evaluation/validation of a new technique. BMEL publishes the following types of papers: original articles, review articles, editorials, and letters to the editor. All the papers are reviewed in single-blind fashion.
期刊最新文献
CT synthesis with deep learning for MR-only radiotherapy planning: a review. A comprehensive review on Compton camera image reconstruction: from principles to AI innovations. A review of deep learning-based reconstruction methods for accelerated MRI using spatiotemporal and multi-contrast redundancies. Strategies for mitigating inter-crystal scattering effects in positron emission tomography: a comprehensive review. Self-supervised learning for CT image denoising and reconstruction: a review.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们：info@booksci.cn
Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1