Deep Learning–Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging

Sung-Hye You; Yongwon Cho; Byungjun Kim; Kyung-Sook Yang; InSeong Kim; Bo Kyu Kim; Arim Pak; Sang Eun Park

doi:10.3174/ajnr.A8063

Main menu

Home
Content
Special Collections
Multimedia
For Authors
About Us
- About AJNR
- Editorial Board
More

Other Publications
- ajnr

User menu

Alerts
Log in

Search

Search for this keyword

Advanced search

American Journal of Neuroradiology

Alerts
Log in

Search for this keyword

Advanced Search

Home
Content
Special Collections
Multimedia
For Authors
About Us
- About AJNR
- Editorial Board
More

Follow AJNR on Twitter
Visit AJNR on Facebook
Follow AJNR on Instagram
Join AJNR on LinkedIn
RSS Feeds

Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.

AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.

Research ArticleArtificial Intelligence

Deep Learning–Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging

Sung-Hye You, Yongwon Cho, Byungjun Kim, Kyung-Sook Yang, InSeong Kim, Bo Kyu Kim, Arim Pak and Sang Eun Park

American Journal of Neuroradiology December 2023, 44 (12) 1391-1398; DOI: https://doi.org/10.3174/ajnr.A8063

Sung-Hye You

aFrom the Department of Radiology, (S.-H.Y., B.K., B.K.K., A.P., S.E.P.), Anam Hospital, Korea University College of Medicine, Seoul, Korea

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Sung-Hye You

Yongwon Cho

bBiomedical Research Center (Y.C.), Korea University College of Medicine, Seoul, Korea

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Yongwon Cho

Byungjun Kim

aFrom the Department of Radiology, (S.-H.Y., B.K., B.K.K., A.P., S.E.P.), Anam Hospital, Korea University College of Medicine, Seoul, Korea

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Byungjun Kim

Kyung-Sook Yang

cDepartment of Biostatistics (K.-S.Y.), Korea University College of Medicine, Seoul, Korea

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Kyung-Sook Yang

InSeong Kim

dSiemens Healthineers (I.K.), Seoul, Korea

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for InSeong Kim

Bo Kyu Kim

aFrom the Department of Radiology, (S.-H.Y., B.K., B.K.K., A.P., S.E.P.), Anam Hospital, Korea University College of Medicine, Seoul, Korea

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Bo Kyu Kim

Arim Pak

aFrom the Department of Radiology, (S.-H.Y., B.K., B.K.K., A.P., S.E.P.), Anam Hospital, Korea University College of Medicine, Seoul, Korea

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Arim Pak

Sang Eun Park

aFrom the Department of Radiology, (S.-H.Y., B.K., B.K.K., A.P., S.E.P.), Anam Hospital, Korea University College of Medicine, Seoul, Korea

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Sang Eun Park

Article
Figures & Data
Supplemental
Info & Metrics
Responses
References
PDF

Data supplements

PreviousNext

In this issue

American Journal of Neuroradiology

Vol. 44, Issue 12

1 Dec 2023

Table of Contents
Index by author
Complete Issue (PDF)

Download PDF

Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Your Email *

Your Name *

Send To *

Enter multiple addresses on separate lines or separate them with commas.

You are going to email the following Deep Learning–Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging

Message Subject (Your Name) has sent you a message from American Journal of Neuroradiology

Message Body (Your Name) thought you would like to see the American Journal of Neuroradiology web site.

Your Personal Message

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Cite this article

Sung-Hye You, Yongwon Cho, Byungjun Kim, Kyung-Sook Yang, InSeong Kim, Bo Kyu Kim, Arim Pak, Sang Eun Park

Deep Learning–Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging

American Journal of Neuroradiology Dec 2023, 44 (12) 1391-1398; DOI: 10.3174/ajnr.A8063

Citation Manager Formats

BibTeX
Bookends
EasyBib
EndNote (tagged)
EndNote 8 (xml)
Medlars
Mendeley
Papers
RefWorks Tagged
Ref Manager
RIS
Zotero

0 Responses

Respond to this article

Bookmark this article

User Name *

Password *

Remember my user name & password.

TOF-MRA Generation with DL for Stroke Imaging

Sung-Hye You, Yongwon Cho, Byungjun Kim, Kyung-Sook Yang, InSeong Kim, Bo Kyu Kim, Arim Pak, Sang Eun Park

American Journal of Neuroradiology Dec 2023, 44 (12) 1391-1398; DOI: 10.3174/ajnr.A8063

Share This Article:

Tweet Widget
Facebook Like
Google Plus One

Purchase

Jump to section

Article
Figures & Data
Supplemental
Info & Metrics
Responses
References
PDF

PubMed
Google Scholar

Cited By...

No citing articles found.

Crossref (4)
Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Application of Artificial Intelligence in Acute Ischemic Stroke: A Scoping Review

JoonNyung Heo

Neurointervention 2025 20 1
Deep Learning-Based High-Resolution Magnetic Resonance Angiography (MRA) Generation Model for 4D Time-Resolved Angiography with Interleaved Stochastic Trajectories (TWIST) MRA in Fast Stroke Imaging

Bo Kyu Kim, Sung-Hye You, Byungjun Kim, Jae Ho Shin

Diagnostics 2024 14 11
Enhanced Preoperative Planning for Intracranial Aneurysms Through Multimodal Image Fusion of Silent/Time-of-Magnetic Resonance Angiography and Computed Tomography Using 3DSlicer

Xiaolin Hou, Tao Wu, Dingjun Li, Yuan Yao, Lin Zeng

The Neurologist 2024 29 6
Robust resolution improvement of 3D UTE-MR angiogram of normal vasculatures using super-resolution convolutional neural network

Abel Worku Tessema, Seokha Jin, Yelim Gong, HyungJoon Cho

Scientific Reports 2025 15 1

Indexed Content

Current Issue
Accepted Manuscripts
Article Preview
Past Issues
Editorials
Editors Choice
Fellow Journal Club
Letters to the Editor

Cases

Case Collection
Archive - Case of the Week
Archive - Case of the Month
Archive - Classic Case

Special Collections

Special Collections

Resources

News and Updates
Turn around Times
Submit a Manuscript
Author Policies
Manuscript Submission Guidelines
Evidence-Based Medicine Level Guide
Publishing Checklists
Graphical Abstract Preparation
Imaging Protocol Submission
Submit a Case
Become a Reviewer/Academy of Reviewers
Get Peer Review Credit from Publons

Multimedia

AJNR Podcast
AJNR SCANtastic
Video Articles

About Us

About AJNR
Editorial Board
Not an AJNR Subscriber? Join Now
Alerts
Feedback
Advertise with us
Librarian Resources
Permissions
Terms and Conditions

American Society of Neuroradiology

Not an ASNR Member? Join Now

Main menu

User menu

Search

American Journal of Neuroradiology

Deep Learning–Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging

Data supplements

In this issue

Citation Manager Formats

Related Articles

Cited By...

More in this TOC Section

Similar Articles

Indexed Content

Cases

Special Collections

Resources

Multimedia

About Us

American Society of Neuroradiology