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journal of medical signals and sensors
  
سال:2023 - دوره:13 - شماره:2
  
 
Aptamer‑Based Magnetic Nanoprobe for Quantitative Measurement of Chloramphenicol in Milk through Portable Reader
- صفحه:136-143
  
 
Assessing Muscle Fatigue in Multiple Sclerosis using the Sample Entropy of Electromyographic Signals: A Proof of Concept
- صفحه:153-159
  
 
Automated Camera Lucida Method with Colored Images through Integration of Hardware and Software in Microscopic Zooming
- صفحه:160-164
  
 
Automatic Choroidal Segmentation in Optical Coherence Tomography Images Based on Curvelet Transform and Graph Theory
- صفحه:92-100
  
 
Automatic Diagnosis of COVID‑19 Pneumonia using Artificial Intelligence Deep Learning Algorithm Based on Lung Computed Tomography Images
- صفحه:110-117
  
 
Automatic Diagnosis of Stage of COVID‑19 Patients using an Ensemble of Transfer Learning with Convolutional Neural Networks Based on Computed Tomography Images
- صفحه:101-109
  
 
Classification of Human Emotional States Based on Valence-Arousal Scale using Electroencephalogram
- صفحه:173-182
  
 
Demarcating Z‑line and Gastric Folds Boundary Based on the Segmentation of the Lower Esophageal Sphincter Images
- صفحه:73-83
  
 
Diagnostic Efficacy of Chest Computed Tomography for Coronavirus Disease 2019
- صفحه:129-135
  
 
Nonlinear Feature Extraction Methods Based on Dual‑Tree Complex Wavelet Transform Subimages of Brain Magnetic Resonance Imaging for the Classification of Multiple Diseases
- صفحه:165-172
  
 
Quantitative Analysis of Image Quality in Low‑Dose Computed Tomography Imaging for COVID‑19 Patients
- صفحه:118-128
  
 
Sensitivity Analysis of a 6 MeV Photon Beam Monte Carlo Model
- صفحه:144-152
  
 
Single‑Ended and Differentially Operated Microwave Microfluidic Sensors for Biomedical Applications
- صفحه:84-91
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