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Special Edition of COVID-19

Current Issue

July-September 2021| Vol 11| Issue 3

Original Article

Residual learning: A new paradigm to improve deep learning-based segmentation of the left ventricle in magnetic resonance imaging cardiac images

Background: Recently, magnetic resonance imaging (MRI) has become a useful tool for the early detection of heart failure. A vital step of this process is a valid measurement of the left ventr...

Original Article

A fast approximate method for predicting the behavior of auditory nerve fibers and the evoked compound action potential (ECAP) signal

Background: The goal of the current research is to develop a model based on computer simulations which describes both the behavior of the auditory nerve fibers and the cochlear implant system...

Original Article

Speckle tracking accuracy enhancement by temporal super-resolution of three-dimensional echocardiography images

Background: Speckle tracking has always been a challenging issue in echocardiography images due to the lowcontrast and noisy nature of ultrasonic imaging modality. While in ultrasound imaging...

Original Article

Detection and classification of myocardial infarction with support vector machine classifier using grasshopper optimization algorithm

Background: Providing a noninvasive, rapid, and cost-effective approach to diagnose of myocardial infarction (MI) is essential in the early stages of electrocardiogram (ECG) signaling. In thi...

Original Article

Automatic generation of structured radiology reports for volumetric computed tomography images using question-Specific deep feature extraction and learning

Background: In today's modern medicine, the use of radiological imaging devices has spread at medical centers. Therefore, the need for accurate, reliable, and portable medical image analy...

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ISSN - Print: NA,
Online: 2228-7477

Journal of Medical Signals & Sensors, a publication of Isfahan University of Medical Sciences, is a peer-reviewed online Quarterly journal.

Features of Manuscript Management System

  • Online submission
  • Wider visibility through open access
  • Higher impact
  • Prompt review

Abstracting and Indexing Information

The journal is registered with the following abstracting partners:
Baidu Scholar, Biological Abstracts, BIOSIS Previews, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris Primo Central, Google Scholar, Hinari, Infotrieve, Netherlands ISSN centre, ProQuest, TDNet, Wanfang Data

The journal is indexed with, or included in, the following:
DOAJ, Emerging Sources Citation Index, PubMed Central, Scimago Journal Ranking, SCOPUS