Example of IEEE Reviews in Biomedical Engineering format
Recent searches

Example of IEEE Reviews in Biomedical Engineering format Example of IEEE Reviews in Biomedical Engineering format Example of IEEE Reviews in Biomedical Engineering format Example of IEEE Reviews in Biomedical Engineering format Example of IEEE Reviews in Biomedical Engineering format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
Look Inside
Example of IEEE Reviews in Biomedical Engineering format Example of IEEE Reviews in Biomedical Engineering format Example of IEEE Reviews in Biomedical Engineering format Example of IEEE Reviews in Biomedical Engineering format Example of IEEE Reviews in Biomedical Engineering format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access
recommended Recommended

IEEE Reviews in Biomedical Engineering — Template for authors

Publisher: IEEE
Categories Rank Trend in last 3 yrs
Biomedical Engineering #10 of 229 up up by 6 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 83 Published Papers | 1169 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 16/06/2020
Related journals
Insights
General info
Top papers
Popular templates
Get started guide
Why choose from SciSpace
FAQ

Related Journals

open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 10.2
SJR: 1.176
SNIP: 1.188
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 6.1
SJR: 0.64
SNIP: 1.257
open access Open Access
recommended Recommended

Springer

Quality:  
High
CiteRatio: 7.7
SJR: 1.053
SNIP: 1.746

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

14.1

18% from 2019

CiteRatio for IEEE Reviews in Biomedical Engineering from 2016 - 2020
Year Value
2020 14.1
2019 11.9
2018 7.8
2017 9.8
2016 10.3
graph view Graph view
table view Table view

1.641

21% from 2019

SJR for IEEE Reviews in Biomedical Engineering from 2016 - 2020
Year Value
2020 1.641
2019 1.358
2018 1.09
2017 1.616
2016 1.28
graph view Graph view
table view Table view

3.163

1% from 2019

SNIP for IEEE Reviews in Biomedical Engineering from 2016 - 2020
Year Value
2020 3.163
2019 3.138
2018 2.959
2017 3.68
2016 3.724
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 18% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 21% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 1% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

IEEE Reviews in Biomedical Engineering

Guideline source: View

All company, product and service names used in this website are for identification purposes only. All product names, trademarks and registered trademarks are property of their respective owners.

Use of these names, trademarks and brands does not imply endorsement or affiliation. Disclaimer Notice

IEEE

IEEE Reviews in Biomedical Engineering

Approved by publishing and review experts on SciSpace, this template is built as per for IEEE Reviews in Biomedical Engineering formatting guidelines as mentioned in IEEE author instructions. The current version was created on 15 Jun 2020 and has been used by 349 authors to write and format their manuscripts to this journal.

Engineering

i
Last updated on
15 Jun 2020
i
ISSN
1937-3333
i
Impact Factor
Very High - 3.208
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
IEEEtran
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1109/RBME.2009.2034865
Histopathological Image Analysis: A Review
Metin N. Gurcan1, Laura E. Boucheron2, Ali Can, Anant Madabhushi3, Nasir M. Rajpoot4, Bülent Yener5

Abstract:

Over the past decade, dramatic increases in computational power and improvement in image analysis algorithms have allowed the development of powerful computer-assisted analytical approaches to radiological data. With the recent advent of whole slide digital scanners, tissue histopathology slides can now be digitized and store... Over the past decade, dramatic increases in computational power and improvement in image analysis algorithms have allowed the development of powerful computer-assisted analytical approaches to radiological data. With the recent advent of whole slide digital scanners, tissue histopathology slides can now be digitized and stored in digital image form. Consequently, digitized tissue histopathology has now become amenable to the application of computerized image analysis and machine learning techniques. Analogous to the role of computer-assisted diagnosis (CAD) algorithms in medical imaging to complement the opinion of a radiologist, CAD algorithms have begun to be developed for disease detection, diagnosis, and prognosis prediction to complement the opinion of the pathologist. In this paper, we review the recent state of the art CAD technology for digitized histopathology. This paper also briefly describes the development and application of novel image analysis technology for a few specific histopathology related problems being pursued in the United States and Europe. read more read less

Topics:

Digital pathology (55%)55% related to the paper
View PDF
1,644 Citations
open accessOpen access Journal Article DOI: 10.1109/RBME.2010.2084567
Retinal Imaging and Image Analysis
Michael D. Abràmoff1, Mona K. Garvin1, Milan Sonka1

Abstract:

Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized wo... Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age-related macular degeneration, diabetic retinopathy, and glaucoma, the review is devoted to retinal imaging and image analysis methods and their clinical implications. Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed. Special attention is given to quantitative techniques for analysis of fundus photographs with a focus on clinically relevant assessment of retinal vasculature, identification of retinal lesions, assessment of optic nerve head (ONH) shape, building retinal atlases, and to automated methods for population screening for retinal diseases. A separate section is devoted to 3-D analysis of OCT images, describing methods for segmentation and analysis of retinal layers, retinal vasculature, and 2-D/3-D detection of symptomatic exudate-associated derangements, as well as to OCT-based analysis of ONH morphology and shape. Throughout the paper, aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships. read more read less

Topics:

Retinal (53%)53% related to the paper, Fundus photography (52%)52% related to the paper, Retina (52%)52% related to the paper, Fundus (eye) (51%)51% related to the paper, Macular degeneration (50%)50% related to the paper
View PDF
1,118 Citations
open accessOpen access Journal Article DOI: 10.1109/RBME.2020.2987975
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19
Feng Shi, Jun Wang1, Jun Shi1, Ziyan Wu, Qian Wang2, Zhenyu Tang3, Kelei He4, Yinghuan Shi4, Dinggang Shen

Abstract:

The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world. Medical imaging such as X-ray and computed tomography (CT) plays an essential role in the global fight against COVID-19, whereas the recently emerging artificial intelligence (AI) technologies further strengthen the power of the imaging tools... The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world. Medical imaging such as X-ray and computed tomography (CT) plays an essential role in the global fight against COVID-19, whereas the recently emerging artificial intelligence (AI) technologies further strengthen the power of the imaging tools and help medical specialists. We hereby review the rapid responses in the community of medical imaging (empowered by AI) toward COVID-19. For example, AI-empowered image acquisition can significantly help automate the scanning procedure and also reshape the workflow with minimal contact to patients, providing the best protection to the imaging technicians. Also, AI can improve work efficiency by accurate delineation of infections in X-ray and CT images, facilitating subsequent quantification. Moreover, the computer-aided platforms help radiologists make clinical decisions, i.e., for disease diagnosis, tracking, and prognosis. In this review paper, we thus cover the entire pipeline of medical imaging and analysis techniques involved with COVID-19, including image acquisition, segmentation, diagnosis, and follow-up. We particularly focus on the integration of AI with X-ray and CT, both of which are widely used in the frontline hospitals, in order to depict the latest progress of medical imaging and radiology fighting against COVID-19. read more read less

Topics:

Medical imaging (59%)59% related to the paper
View PDF
916 Citations
open accessOpen access Journal Article DOI: 10.1109/RBME.2010.2084078
Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review
Yu M. Chi1, Tzyy-Ping Jung1, Gert Cauwenberghs1

Abstract:

Recent demand and interest in wireless, mobile-based healthcare has driven significant interest towards developing alternative biopotential electrodes for patient physiological monitoring. The conventional wet adhesive Ag/AgCl electrodes used almost universally in clinical applications today provide an excellent signal but ar... Recent demand and interest in wireless, mobile-based healthcare has driven significant interest towards developing alternative biopotential electrodes for patient physiological monitoring. The conventional wet adhesive Ag/AgCl electrodes used almost universally in clinical applications today provide an excellent signal but are cumbersome and irritating for mobile use. While electrodes that operate without gels, adhesives and even skin contact have been known for many decades, they have yet to achieve any acceptance for medical use. In addition, detailed knowledge and comparisons between different electrodes are not well known in the literature. In this paper, we explore the use of dry/noncontact electrodes for clinical use by first explaining the electrical models for dry, insulated and noncontact electrodes and show the performance limits, along with measured data. The theory and data show that the common practice of minimizing electrode resistance may not always be necessary and actually lead to increased noise depending on coupling capacitance. Theoretical analysis is followed by an extensive review of the latest dry electrode developments in the literature. The paper concludes with highlighting some of the novel systems that dry electrode technology has enabled for cardiac and neural monitoring followed by a discussion of the current challenges and a roadmap going forward. read more read less
View PDF
879 Citations
open accessOpen access Journal Article DOI: 10.1109/RBME.2008.2008250
Cochlear Implants: System Design, Integration, and Evaluation
Fan-Gang Zeng1, Stephen J. Rebscher2, W. Harrison, Sun Xiao'an, Haihong Feng

Abstract:

As the most successful neural prosthesis, cochlear implants have provided partial hearing to more than 120000 persons worldwide; half of which being pediatric users who are able to develop nearly normal language. Biomedical engineers have played a central role in the design, integration and evaluation of the cochlear implant ... As the most successful neural prosthesis, cochlear implants have provided partial hearing to more than 120000 persons worldwide; half of which being pediatric users who are able to develop nearly normal language. Biomedical engineers have played a central role in the design, integration and evaluation of the cochlear implant system, but the overall success is a result of collaborative work with physiologists, psychologists, physicians, educators, and entrepreneurs. This review presents broad yet in-depth academic and industrial perspectives on the underlying research and ongoing development of cochlear implants. The introduction accounts for major events and advances in cochlear implants, including dynamic interplays among engineers, scientists, physicians, and policy makers. The review takes a system approach to address critical issues in cochlear implant research and development. First, the cochlear implant system design and specifications are laid out. Second, the design goals, principles, and methods of the subsystem components are identified from the external speech processor and radio frequency transmission link to the internal receiver, stimulator and electrode arrays. Third, system integration and functional evaluation are presented with respect to safety, reliability, and challenges facing the present and future cochlear implant designers and users. Finally, issues beyond cochlear implants are discussed to address treatment options for the entire spectrum of hearing impairment as well as to use the cochlear implant as a model to design and evaluate other similar neural prostheses such as vestibular and retinal implants. read more read less

Topics:

Cochlear implant (65%)65% related to the paper, Neural Prosthesis (58%)58% related to the paper, Retinal implant (53%)53% related to the paper
674 Citations
Author Pic

SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

Get MS-Word and LaTeX output to any Journal within seconds
1
Choose a template
Select a template from a library of 40,000+ templates
2
Import a MS-Word file or start fresh
It takes only few seconds to import
3
View and edit your final output
SciSpace will automatically format your output to meet journal guidelines
4
Submit directly or Download
Submit to journal directly or Download in PDF, MS Word or LaTeX

(Before submission check for plagiarism via Turnitin)

clock Less than 3 minutes

What to expect from SciSpace?

Speed and accuracy over MS Word

''

With SciSpace, you do not need a word template for IEEE Reviews in Biomedical Engineering.

It automatically formats your research paper to IEEE formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Turnitin Stats
Publisher Logos

Freedom from formatting guidelines

One editor, 100K journal formats – world's largest collection of journal templates

With such a huge verified library, what you need is already there.

publisher-logos

Easy support from all your favorite tools

IEEE Reviews in Biomedical Engineering format uses IEEEtran citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write IEEE Reviews in Biomedical Engineering in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Reviews in Biomedical Engineering guidelines and auto format it.

2. Do you follow the IEEE Reviews in Biomedical Engineering guidelines?

Yes, the template is compliant with the IEEE Reviews in Biomedical Engineering guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in IEEE Reviews in Biomedical Engineering?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the IEEE Reviews in Biomedical Engineering citation style.

4. Can I use the IEEE Reviews in Biomedical Engineering templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for IEEE Reviews in Biomedical Engineering.

5. Can I use a manuscript in IEEE Reviews in Biomedical Engineering that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper IEEE Reviews in Biomedical Engineering that you can download at the end.

6. How long does it usually take you to format my papers in IEEE Reviews in Biomedical Engineering?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Reviews in Biomedical Engineering.

7. Where can I find the template for the IEEE Reviews in Biomedical Engineering?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Reviews in Biomedical Engineering's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the IEEE Reviews in Biomedical Engineering's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. IEEE Reviews in Biomedical Engineering an online tool or is there a desktop version?

SciSpace's IEEE Reviews in Biomedical Engineering is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like IEEE Reviews in Biomedical Engineering?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like IEEE Reviews in Biomedical Engineering?”

11. What is the output that I would get after using IEEE Reviews in Biomedical Engineering?

After writing your paper autoformatting in IEEE Reviews in Biomedical Engineering, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Reviews in Biomedical Engineering's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for IEEE Reviews in Biomedical Engineering?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for IEEE Reviews in Biomedical Engineering. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In IEEE Reviews in Biomedical Engineering?

The 5 most common citation types in order of usage for IEEE Reviews in Biomedical Engineering are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the IEEE Reviews in Biomedical Engineering?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Reviews in Biomedical Engineering's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download IEEE Reviews in Biomedical Engineering in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in IEEE Reviews in Biomedical Engineering Endnote style according to Elsevier guidelines.

Fast and reliable,
built for complaince.

Instant formatting to 100% publisher guidelines on - SciSpace.

Available only on desktops 🖥

No word template required

Typset automatically formats your research paper to IEEE Reviews in Biomedical Engineering formatting guidelines and citation style.

Verifed journal formats

One editor, 100K journal formats.
With the largest collection of verified journal formats, what you need is already there.

Trusted by academicians

I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

Andreas Frutiger
Researcher & Ex MS Word user
Use this template