"Artificial Intelligence in Biomedical Engineering" 

About this Book:

This Book addresses the concept of Biomedical Engineering with the use of the application of Artificial Intelligence, to demonstrate the scientific and academic advances on this theme. Benefits and challenges in the modernization of Biomedical Engineering. Topic of interest for submission include, but are not limited to:

  • Health
  • Big Data
  • Biosensors and Trackers
  • Cloud Computing and 5G
  • Machine learning, Deep Learning and Mathematical Modeling
  • Virtual Reality (VR)
  • 3D printing
  Submission Instructions:
  • The paper template can be downloaded here below as a Word or LaTeX document: 
  • It is recommendable six authors as a maximum per paper.

  • WARNING: Once the article is submitted and the deadline has passed, it is not possible to change the list of authors or the order, and if the work is approved, this information will be utilized for the final publication.

  • All papers must be preferably written in English. The paper material (including texts, figures, tables, and references) must fit into 8 - 15 pages.

  • Sending the Article in Word or Latex format by email. Please name your documents as followed: “last name_first name_IOP2022”:
    • This email address is being protected from spambots. You need JavaScript enabled to view it.
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  Import Date:
  • Submission Deadline: February 28th, 2023
  Cost:
  • Free Publication or R$0.00
  Editors:
           
  Prof. Yuzo Iano
State University of Campinas UNICAMP
Prof. Navid Razmjooy
Islamic Azad University
Prof. Rangel Arthur
State University of Campinas UNICAMP
Prof. Gabriel Gomes de Oliveira
State University of Campinas UNICAMP
 
 
     
Prof. Euclides Lourenço Chuma
State University of Campinas - UNICAMP
Prof. Noradin Ghadimi
Islamic Azad University
Prof. Venkatesan Rajinikanth

St. Joseph’s College of Engineering

 
  Institutional Support:
  Contact Support:
If you have any need for additional information, doubts, concerns and/or system issues please feel free to contact the Editorial Office via email.
Email Address: This email address is being protected from spambots. You need JavaScript enabled to view it.