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 2021-06-01 to 2025-06-01.)
ArticleCitations
84
Issue Information70
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model68
Denoising of computed tomography using bilateral median based autoencoder network66
Design of rectangular coaxial slot antenna for ultra‐high‐field magnetic resonance imaging60
MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation59
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer56
Polyp segmentation network based on lightweight model and reverse attention mechanisms53
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification52
A lightweight deep learning model for retinal optical coherence tomography image classification51
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection49
A dual channel and spatial attention network for automatic spine segmentation of MRI images45
An efficient deep learning algorithm for the segmentation of cardiac ventricles43
Multi‐classificationof brain tumor by using deep convolutional neural network model inmagnetic resonance imagingimages41
Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer 41
A novel automated depression detection technique using text transcript39
An ensemble model of convolution and recurrent neural network for skin disease classification37
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study36
CITMambaNet: Cross Modality Progressive Fusion ITMamba Network for PETCT Medical Image Segmentation36
GRASP‐Net: Grouped Residual Convolution U‐Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using MR Images33
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model33
Issue Information32
Microaneurysm Detection With Multiscale Attention and Trident RPN31
Issue Information31
Retraction: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm30
Squeeze and multi‐context attention for polyp segmentation28
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