A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

A. Sreekumari; D. Shanbhag; D. Yeo; T. Foo; J. Pilitsis; J. Polzin; U. Patil; A. Coblentz; A. Kapadia; J. Khinda; A. Boutet; J. Port; I. Hancu

doi:10.3174/ajnr.A5926

Main menu

Home
Content
Special Collections
Multimedia
For Authors
About Us
More

User menu

Alerts
Log in
Log out

Search

Search for this keyword

Advanced search

American Journal of Neuroradiology

Alerts
Log in
Log out

Search for this keyword

Advanced Search

Home
Content
Special Collections
Multimedia
For Authors
About Us
More

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

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Getting new auth cookie, if you see this message a lot, tell someone!

Research ArticleAdult Brain

A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

A. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port and I. Hancu

American Journal of Neuroradiology February 2019, 40 (2) 217-223; DOI: https://doi.org/10.3174/ajnr.A5926

A. Sreekumari

aFrom the GE Global Research Center (A.S., D.S., U.P.), Bangalore, India

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for A. Sreekumari

D. Shanbhag

aFrom the GE Global Research Center (A.S., D.S., U.P.), Bangalore, India

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for D. Shanbhag

D. Yeo

bGE Global Research Center (D.Y., T.F., I.H.), Niskayuna, New York

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for D. Yeo

T. Foo

bGE Global Research Center (D.Y., T.F., I.H.), Niskayuna, New York

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for T. Foo

J. Pilitsis

cAlbany Medical College (J.Pilitsis), Albany, New York

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for J. Pilitsis

J. Polzin

dGE Healthcare (J.Polzin), Milwaukee, Wisconsin

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for J. Polzin

U. Patil

aFrom the GE Global Research Center (A.S., D.S., U.P.), Bangalore, India

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for U. Patil

A. Coblentz

eUniversity Hospital Network (A.C., A.K., J.K., A.B.), Toronto, Ontario, Canada

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for A. Coblentz

A. Kapadia

eUniversity Hospital Network (A.C., A.K., J.K., A.B.), Toronto, Ontario, Canada

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for A. Kapadia

J. Khinda

eUniversity Hospital Network (A.C., A.K., J.K., A.B.), Toronto, Ontario, Canada

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for J. Khinda

A. Boutet

eUniversity Hospital Network (A.C., A.K., J.K., A.B.), Toronto, Ontario, Canada

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for A. Boutet

J. Port

fMayo Clinic (J.Port), Rochester, Minnesota.

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for J. Port

I. Hancu

bGE Global Research Center (D.Y., T.F., I.H.), Niskayuna, New York

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for I. Hancu

Article
Figures & Data
Supplemental
Info & Metrics
Responses
References
PDF

Submit a Response to This Article

Compose eLetter

Title *

Contents

More information about text formats

Plain text

No HTML tags allowed.
Web page addresses and e-mail addresses turn into links automatically.
Lines and paragraphs break automatically.

Author Information

Contributors
First Name and Middle Initial * First or given name, e.g. 'Peter'. Last Name * Your last, or family, name, e.g. 'MacMoody'. Email Address * Your email address, e.g. higgs-boson@gmail.com Occupation * Your role and/or occupation, e.g. 'Orthopedic Surgeon'. Affiliation * Your organization or institution (if applicable), e.g. 'Royal Free Hospital'.

Statement of Competing Interests

Competing interests? *

Yes

Please describe the competing interests

CAPTCHA

Please verify that you are a real person

Vertical Tabs

Jump to comment:

No eLetters have been published for this article.

PreviousNext

In this issue

American Journal of Neuroradiology

Vol. 40, Issue 2

1 Feb 2019

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 A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

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

A. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port, I. Hancu

A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

American Journal of Neuroradiology Feb 2019, 40 (2) 217-223; DOI: 10.3174/ajnr.A5926

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.

A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

A. Sreekumari, D. Shanbhag, D. Yeo, T. Foo, J. Pilitsis, J. Polzin, U. Patil, A. Coblentz, A. Kapadia, J. Khinda, A. Boutet, J. Port, I. Hancu

American Journal of Neuroradiology Feb 2019, 40 (2) 217-223; DOI: 10.3174/ajnr.A5926

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...

Opportunities for Understanding MS Mechanisms and Progression With MRI Using Large-Scale Data Sharing and Artificial Intelligence
Artificial Intelligence in Neuroradiology: Current Status and Future Directions

Crossref
Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

Indexed Content

Current Issue
Accepted Manuscripts
Article Preview
Past Issues
Editorials
Editor's Choice
Fellows' Journal Club
Letters to the Editor
Video Articles

Cases

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

Multimedia

AJNR Podcasts
AJNR Scantastics

Resources

Turnaround Time
Submit a Manuscript
Submit a Video Article
Submit an eLetter to the Editor/Response
Manuscript Submission Guidelines
Statistical Tips
Fast Publishing of Accepted Manuscripts
Graphical Abstract Preparation
Imaging Protocol Submission
Evidence-Based Medicine Level Guide
Publishing Checklists
Author Policies
Become a Reviewer/Academy of Reviewers
News and Updates

About Us

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

American Society of Neuroradiology

Not an ASNR Member? Join Now

Main menu

User menu

Search

American Journal of Neuroradiology

A Deep Learning–Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations

Plain text

Vertical Tabs

Jump to comment:

In this issue

Citation Manager Formats

Related Articles

Cited By...

More in this TOC Section

Similar Articles

Indexed Content

Cases

More from AJNR

Multimedia

Resources

About Us

American Society of Neuroradiology