OOIR: Observatory of International Research

Papers

(The H4-Index of International Journal of Imaging Systems and Technology is 30. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification	110
Pixel by Pixel Semantic Segmentation Approach on WSI Images for Gastric Gland Segmentation and Gastric Cancer Grade Classification Using MLP‐XAI Model	86
A dual channel and spatial attention network for automatic spine segmentation of MRI images	84
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection	78
	75
An efficient deep learning algorithm for the segmentation of cardiac ventricles	63
TTNet : Three‐Stages Tooth Segmentation Network Based on Tooth Masks in CBCT Images	62
Polyp segmentation network based on lightweight model and reverse attention mechanisms	61
CITMambaNet : Cross Modality Progressive Fusion ITMamba Network for PET	56
A novel automated depression detection technique using text transcript	55
Modified Transformer‐Based Pixel Segmentation for Breast Tumor Detection	54
GRASP ‐Net: Grouped Residual Convolution U‐Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using	49
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model	48
Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer	47
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer	40
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model	40
Multi‐classificationof brain tumor by using deep convolutional neural network model inmagnetic resonance imagingimages	38
Issue Information	37
A lightweight deep learning model for retinal optical coherence tomography image classification	37
Issue Information	37
	36
Empowering ultrasound image filtering precision by reducing speckles and preserving edge cues	35
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis	34
Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states	33
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K‐means clustering	32

An automatic gastric polyp detection technique using deep learning	32
Hybrid‐Patch‐Alex: A new patch division and deep feature extraction‐based image classification model to detect COVID‐19, heart failure, and other lung conditions using medical im	31
VMC‐UNet: A Vision Mamba‐CNN U‐Net for Tumor Segmentation in Breast Ultrasound Image	31
Microaneurysm Detection With Multiscale Attention and Trident RPN	31
SPICE : Leveraging Soft Probabilistic Causal Intervention for Breast Ultrasound Tumor Segmentation	30