OOIR: Observatory of International Research

Papers

(The H4-Index of International Journal of Imaging Systems and Technology is 25. 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 2021-08-01 to 2025-08-01.)

Article	Citations
Issue Information	91
	72
Denoising of computed tomography using bilateral median based autoencoder network	64
Design of rectangular coaxial slot antenna for ultra‐high‐field magnetic resonance imaging	62
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection	60
A dual channel and spatial attention network for automatic spine segmentation of MRI images	58
An ensemble model of convolution and recurrent neural network for skin disease classification	55
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study	54
Modified Transformer‐Based Pixel Segmentation for Breast Tumor Detection	47
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model	41
An efficient deep learning algorithm for the segmentation of cardiac ventricles	41
Polyp segmentation network based on lightweight model and reverse attention mechanisms	40
Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer	39
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification	37
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model	36
GRASP‐Net: Grouped Residual Convolution U‐Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using MR Images	36
Multi‐classificationof brain tumor by using deep convolutional neural network model inmagnetic resonance imagingimages	32
CITMambaNet: Cross Modality Progressive Fusion ITMamba Network for PET‐CT Medical Image Segmentation	32
A lightweight deep learning model for retinal optical coherence tomography image classification	30
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer	30
A novel automated depression detection technique using text transcript	27
Issue Information	26
MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation	26
Issue Information	25
Squeeze and multi‐context attention for polyp segmentation	25