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Special Edition of COVID-19

Current Issue

October-December 2022| Vol 12| Issue 4

Original Article

Neural Network Performance Evaluation of Simulated and Genuine Head-and-Neck Computed Tomography Images to Reduce Metal Artifacts

Background: This study evaluated the performances of neural networks in terms of denoizing metal artifacts in computed tomography (CT) images to improve diagnosis based on the CT images of pa...


Original Article

A Novel Texture Extraction-Based Compressive Sensing for Lung Cancer Classification

Background: Lung cancer images require large memory storage and transmission bandwidth for sending the data. Compressive sensing (CS), as a method with a statistical approach in signal sampli...


Original Article

A Novel Pulse-Taking Device for Persian Medicine Based on Convolutional Neural Networks

Background: In Persian medicine (PM), measuring the wrist pulse is one of the main methods for determining a person's health status and temperament. One problem that can arise is the depe...


Original Article

An efficient approach for driver drowsiness detection at moderate drowsiness level based on electroencephalography signal and vehicle dynamics data

Background: Drowsy driving is one of the leading causes of severe accidents worldwide. In this study, an analyzing method based on drowsiness level proposed to detect drowsiness through elect...


Original Article

Gas Array Sensors based on Electronic Nose for Detection of Tuna (Euthynnus Affinis) Contaminated by Pseudomonas Aeruginosa

Background: Fish is a food ingredient that is consumed throughout the world. When fishes die, their freshness begins to decrease. The freshness of the fish can be determined by the aroma it p...


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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