International Journal of Imaging Systems and Technology

Papers
(The H4-Index of International Journal of Imaging Systems and Technology is 26. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
A dual channel and spatial attention network for automatic spine segmentation of MRI images82
69
An ensemble model of convolution and recurrent neural network for skin disease classification66
Design of rectangular coaxial slot antenna for ultra‐high‐field magnetic resonance imaging66
Issue Information55
Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer 54
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification52
An efficient deep learning algorithm for the segmentation of cardiac ventricles51
Multi‐classificationof brain tumor by using deep convolutional neural network model inmagnetic resonance imagingimages49
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection47
Polyp segmentation network based on lightweight model and reverse attention mechanisms45
Denoising of computed tomography using bilateral median based autoencoder network44
A lightweight deep learning model for retinal optical coherence tomography image classification41
MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation41
A novel automated depression detection technique using text transcript40
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model36
GRASP‐Net: Grouped Residual Convolution U‐Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using MR Images36
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study33
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model33
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer33
Issue Information32
Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states31
Two‐dimensional medical image segmentation based on U‐shaped structure31
30
Performance analysis of various denoising filters on intravascular ultrasound coronary artery images29
Accelerated brain tumor dynamic contrast‐enhanced MRI using Adaptive Pharmaco‐Kinetic Model Constrained method28
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