International Journal of Imaging Systems and Technology

Papers
(The median citation count of International Journal of Imaging Systems and Technology is 1. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Issue Information91
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Design of rectangular coaxial slot antenna for ultra‐high‐field magnetic resonance imaging66
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection64
A dual channel and spatial attention network for automatic spine segmentation of MRI images62
An efficient deep learning algorithm for the segmentation of cardiac ventricles60
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model55
Multi‐classificationof brain tumor by using deep convolutional neural network model inmagnetic resonance imagingimages55
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer48
Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer 42
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification41
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model40
GRASP‐Net: Grouped Residual Convolution U‐Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using MR Images40
CITMambaNet: Cross Modality Progressive Fusion ITMamba Network for PETCT Medical Image Segmentation38
An ensemble model of convolution and recurrent neural network for skin disease classification37
Modified Transformer‐Based Pixel Segmentation for Breast Tumor Detection37
Denoising of computed tomography using bilateral median based autoencoder network33
MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation33
A lightweight deep learning model for retinal optical coherence tomography image classification30
Polyp segmentation network based on lightweight model and reverse attention mechanisms30
A novel automated depression detection technique using text transcript28
Issue Information28
Feature selection and classification using bio‐inspired algorithms for the diagnosis of pulmonary emphysema subtypes26
TPA‐Seg: Multi‐Class Nucleus Segmentation Using Text Prompts and Cross‐Attention26
Issue Information26
A Novel Framework for Lung Disease Classification Using Multiscale Convolutional Neural Networks With an Integrated Dynamic Attention Mechanism26
GSCCANet: Dual Decoder Network Fusing Edge Focus and Global Channel Attention for Precise Segmentation of Colonic Polyps25
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K‐means clustering25
Squeeze and multi‐context attention for polyp segmentation25
Performance analysis of various denoising filters on intravascular ultrasound coronary artery images25
Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states24
An automatic gastric polyp detection technique using deep learning24
Microaneurysm Detection With Multiscale Attention and Trident RPN23
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A joint autoencoder and classifier deep neural network for AD and MCI classification21
Empowering ultrasound image filtering precision by reducing speckles and preserving edge cues21
Retraction: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm21
Registration‐enhanced multiple instance learning for cervical cancer whole slide image classification21
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis21
SSANet—Novel Residual Network for Computer‐Aided Diagnosis of Pulmonary Nodules in Chest Computed Tomography20
Two‐dimensional medical image segmentation based on U‐shaped structure20
RIBM3DU‐Net: Glioma tumour substructures segmentation in magnetic resonance images using residual‐inception block with modified 3D U‐Net architecture20
An automatic measurement method for ankle key angles based on point cloud segmentation network18
VMCUNet: A Vision Mamba‐CNN U‐Net for Tumor Segmentation in Breast Ultrasound Image18
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 im18
Embedded System‐Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning Model18
Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging18
Multi‐level deep learning based lung cancer classifier for classification based on tumour‐node‐metastasis approach18
A modified contrast source inversion method for microwave tomographic imaging of Debye dispersive media18
Accelerated brain tumor dynamic contrast‐enhanced MRI using Adaptive Pharmaco‐Kinetic Model Constrained method18
Estimation of Nonhomogeneous Noise in 2D Magnetic Resonance Imaging18
Deep Depthwise Residual Network for Knee Meniscus Segmentation From Magnetic Resonance Imaging17
Rapid Early Screening for Lymphedema Using Kinect17
Enhanced ECG Signal Classification Using Multi‐Branch Convolutions and Mamba Blocks With State‐Space Models17
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Preparing a successful Special Issue proposal16
Automatic semantic segmentation for dental restorations in panoramic radiography images using U‐Net model15
Automated Segmentation of Brain Gliomas in Multimodal MRI Data15
A CNN transfer learning‐based approach for segmentation and classification of brain stroke from noncontrast CT images15
Identification of biological markers in cancer disease using explainable artificial intelligence14
Issue Information14
Correction to “Multi‐Branch Sustainable Convolutional Neural Network for Disease Classification”14
A Hybrid Deep Spatiotemporal Attention‐Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals14
Cover Image14
Efficient multiscale spatial attention3Dabdominal multiorgan segmentation model14
Issue Information14
Feature Pyramid Network Based Spatial Attention and Cross‐Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images14
HPKNN: Hyper‐parameter optimized KNN classifier for classification of poikilocytosis13
Taylor series‐based deep belief network for automatic classification of diabetic retinopathy using retinal fundus images13
Advanced Image Enhancement and a Lightweight Feature Pyramid Network for Detecting Microaneurysms in Diabetic Retinopathy Screening13
Distributed autoencoder classifier network for small‐scale and scattered COVID‐19 dataset classification13
Ventricular segmentation and modeling using topological watershed transformation and harmonic state model13
Extended and optimized deep convolutional neural network‐based lung tumor identification in big data13
Federated learning‐based colorectal cancer classification by convolutional neural networks and general visual representation learning13
Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement13
Automated differentiation of skin melanocytes from keratinocytes in high‐resolution histopathology images using a weakly‐supervised deep‐learning framework13
Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features13
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm12
Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets12
Issue Information12
Denoising smooth‐detail representation of MRI‐SPECT fusion12
SABOS‐Net: Self‐supervised attention based network for automatic organ segmentation of head and neck CT images12
Sleep disorder identification using wavelet scattering on ECG signals12
Issue Information12
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Using normalized echo state network to detect abnormal ECG patterns12
An optimal system for increasing the contrast resolution qualities of histopathology images in the wavelet domain12
An Explainable AI for Blood Image Classification With Dynamic CNN Model Selection Framework12
Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting11
Research on data classification and feature fusion method of cancer nuclei image based on deep learning11
PC‐SNet for automated detection of prostate cancer in multiparametric‐magnetic resonance imaging11
Medical image contrast enhancement based on improved sparrow search algorithm11
Feature Subspace Projection Knowledge Distillation for Medical Image Segmentation11
A Structure‐Preserving Denoising Diffusion Model for AV45 PET Quantification Without MRI in Alzheimer's Disease Diagnosis11
A method to measure data complexity of a complicated medical data set11
Multiscale attention network for retinal vein occlusion classification with multicolor image11
An AGRetinaNet for Embryonic Blastomeres Detection and Counting11
Application of SVM Based on Optimization of Newton Raphson's Algorithm in Non‐Invasive Blood Glucose Detection11
An affinity propagated clustering aided computerized Inherent Seeded Region Growing and Deep learned Marching Cubes Algorithm (ISRG‐DMCA) based three dimensional image reconstruction approa11
Deep learning based automated detection of intraretinal cystoid fluid11
Automated diagnosis of COVID stages using texture‐based Gabor features in variational mode decomposition from CT images10
An intelligent fuzzy inference rule‐based expert recommendation system for predictive diabetes diagnosis10
A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection10
A Dynamic Multi‐Output Convolutional Neural Network for Skin Lesion Classification10
A deep conventional neural network model for glioma tumor segmentation10
Detection of liver abnormalities—A new paradigm in medical image processing and classification techniques10
Towards Efficient Brain Tumor Segmentation via a Transformer‐Driven 3D U‐Net10
Histopathological carcinoma classification using parallel, cross‐concatenated and grouped convolutions deep neural network10
Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta‐heuristic assisted deep learning model10
A deep learning‐basedx‐rayimaging diagnosis system for classification of tuberculosis,COVID‐19, and pneumonia traits using evolutionary algorithm10
Neuromuscular disease detection based on feature extraction from time–frequency images of EMG signals employing robust hyperbolic Stockwell transform10
An efficient quantification of COVID‐19 in chest CT images with improved semantic segmentation using U‐Net deep structure10
An effective detection of COVID‐19 using adaptive dual‐stage horse herd bidirectional long short‐term memory framework10
MTBAAN: Multi‐View Topological Bilinear Aggregation Attention Network Model for Alzheimer's Disease Diagnosis9
C‐TUnet: A CNN‐Transformer Architecture‐Based Ultrasound Breast Image Classification Network9
A region of interest focused Triple UNet architecture for skin lesion segmentation9
Multimodal Connectivity‐Guided Glioma Segmentation From Magnetic Resonance Images via Cascaded 3D Residual U‐Net9
Breaking Barriers in Cancer Diagnosis: Super‐Light Compact Convolution Transformer for Colon and Lung Cancer Detection9
An interpretable deep learning Bayesian optimized random forest framework for the diagnosis of Parkinson's disease in structural magnetic resonance images9
A Novel Edge‐Enhanced Networks for Optic Disc and Optic Cup Segmentation9
Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semisupervised Cross nnSU‐Net8
ARCNet: Adaptive Reconstruction‐Driven Cascaded Network for Deformable Registration of Images With Pathologies8
Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals8
Improving Image Quality of Thin‐Slice and Low‐keV Images in Dual‐Energy CT Angiography for Children With Neuroblastoma Using Deep Learning Image Reconstruction8
A joint segmentation and classification framework for COVID‐19 infection segmentation and detection from chest CT images8
Issue Information8
Structural biomarker‐based Alzheimer's disease detection via ensemble learning techniques8
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images8
Issue Information8
Pneumonia Image Classification Based on Lightweight Mobile ViT Networks8
Effect of physical exercise and noninvasive brain stimulation on cognition and dementia of elderly people with frailty: A randomized study8
Convolution Block Extension of DCNN for Retinal Vascular Segmentation: Taxonomy and Discussion8
GAN‐segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation8
Advancing Computer‐Assisted Diabetic Retinopathy Grading: A Super Learner Ensemble Technique for Fundus Imagery8
A Metaheuristic‐Based Conductivity Distribution Optimization Method for Accurate Imaging in Electrical Impedance Tomography8
Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning8
Retinal fundus image registration framework using Bayesian integration and asymmetric Gaussian mixture model7
Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification7
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Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi‐channel feature extraction and selection7
Convolutional Neural Network‐Based CT Image Segmentation of Kidney Tumours7
Efficient spine segmentation network based on multi‐scale feature extraction and multi‐dimensional spatial attention7
Fusing feature and output space for unsupervised domain adaptation on medical image segmentation7
A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer7
Colour‐based segmentation using FCM and K‐means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure7
Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging7
A deeply supervised maximum response texton basedSegNetfor simultaneous multi retinal lesion segmentation7
Automated knee osteoarthritis severity classification using three‐stage preprocessing method andVGG16architecture7
Optimize Neural Fuzzy Systems for High‐Dimensional Breast Cancer Data Analysis: A Deep Learning Approach7
Attention augmented residual autoencoder for efficient polyp segmentation7
Assessment of magnetic resonance imaging and histopathological changes in chordoid glioma: A retrospective analysis of 13 cases7
Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp7
Real‐time coloring method of laser surgery video based on generative adversarial network6
A new medical image enhancement algorithm using adaptive parameters6
Lung lobe segmentation in computed tomography images based on multi‐feature fusion and ensemble learning framework6
Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI‐RADS 4 lesions6
Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography ‐ Neovascular Age related Macular degeneration retinal images using dee6
Real‐time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models6
A Novel Transfer Learning Approach for Skin Cancer Classification on ISIC 2024 3D Total Body Photographs6
NIRII Fluorescence Image Translation via Latent Space Disentanglement6
MacD‐Net: An automatic guided‐ensemble approach for macular pathology detection using optical coherence tomography images6
MAUNet: Polyp segmentation network based on multiscale feature fusion of attention U‐shaped network structure6
Discriminative Consistency Semi‐Supervised Carotid Ultrasound Plaque Segmentation by Exploiting Global Context6
Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images6
TAU‐EffNetB7: A Novel Triple Attention U‐Net Approach Using EfficientNetB7 for Enhanced Polyp Segmentation6
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI6
Recognizing of Vocal Fold Disorders From High Speed Video: Use of Spatio‐Temporal Deep Neural Networks6
Deep learning based Glaucoma Network Classification (GNC) using retinal images6
Novel Model of Medical CT Image Segmentation Based on GANs With Residual Neural Networks6
Unsupervised Domain Adaptation for Simultaneous Segmentation and Classification of the Retinal Arteries and Veins6
Constructing brain functional networks with adaptive manifold regularization for early mild cognitive impairment6
A Lightweight Statistical Multi‐Feature Adaptive Attention Network for Dermoscopic Image Segmentation6
Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches6
CFIFusion: Dual‐Branch Complementary Feature Injection Network for Medical Image Fusion6
Pathological categorization of lung carcinoma from multimodality images using convolutional neural networks6
Improving Stroke Segmentation and Classification Performance Using a Goal‐Oriented Deep Learning Framework6
SOCR‐YOLO: Small Objects Detection Algorithm in Medical Images6
Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba‐Based Network for Registration Performance Enhancement6
Deep Learning and Handcrafted Features for Thyroid Nodule Classification6
Cover Image6
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BATU: A Workflow for Multi‐Network Ensemble Learning in Cross‐Dataset Generalization of Skin Lesion Analysis6
COVID‐19 lung infection segmentation from chest CT images based on CAPA‐ResUNet6
Multi‐planar 3D knee MRI segmentation via UNet inspired architectures5
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid‐based deep models5
HCN: Hybrid Capsule Network for Fetal Plane Classification in Ultrasound Images5
Systematic study and design of multimodal MRI image augmentation for brain tumor detection with loss aware exchange and residual networks5
Interactive CNN and Transformer‐Based Cross‐Attention Fusion Network for Medical Image Classification5
An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects5
SAtUNet: Series atrous convolution enhanced U‐Net for lung nodule segmentation5
An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning5
CS U‐NET: A Medical Image Segmentation Method Integrating Spatial and Contextual Attention Mechanisms Based on U‐NET5
Total variation‐based ultrasound image despeckling using method noise thresholding in non‐subsampled contourlet transform5
Dual‐Path Multi‐Scale CNN for Precise Classification of Non‐Small Cell Lung Cancer5
Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data5
An Enhanced Double‐Unet Segmentation Framework for the Early Detection of Diabetic Retinopathy5
FPUNet: A Multi‐Level Residual Fractional Domain Transformer Network for Ischemic Stroke Image Segmentation5
Whole slide cervical image classification based on convolutional neural network and random forest5
Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images5
Multiscale Dynamic Attention Framework for Skin Lesion Segmentation and Classification5
Issue Information5
GLAN: Global Local Attention Network for Thoracic Disease Classification to Enhance Heart Failure Diagnosis5
EDenseNetViT: Leveraging Ensemble Vision Transform Integrated Transfer Learning for Advanced Differentiation and Severity Scoring of Tuberculosis5
ORYX‐MRSI: A fully‐automated open‐source software for proton magnetic resonance spectroscopic imaging data analysis5
AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation5
Improved GAN for image resolution enhancement using ViT for breast cancer detection5
Intelligent MRI diagnosis of neurological alterations in infants from 4 to 12 months5
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Multi‐branch sustainable convolutional neural network for disease classification5
Detection of Plus Disease in Retinopathy of Prematurity Using Deep Learning Models: Evaluating Vision Transformers and ResNet Architectures5
BCUIS‐Net: A breast cancer ultrasound image segmentation network via boundary‐aware and shape feature fusion5
A Novel Deep Learning Model Based Cancerous Lung Nodules Severity Grading Framework Using CT Images5
Robust nuclei segmentation with encoder‐decoder network from the histopathological images5
CBAM Attention Gate‐Based Lightweight Deep Neural Network Model for Improved Retinal Vessel Segmentation4
XCapsNet: A deep neural network for automated detection of diabetic retinopathy4
Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach4
An alternative approach for determining the cholesterol level: Iris analysis4
Efficient breast cancer diagnosis using multi‐level progressive feature aggregation based deep transfer learning system4
MTGWNN: A Multi‐Template Graph Wavelet Neural Network Identification Model for Autism Spectrum Disorder4
ResTrans‐Unet: A Residual‐Aware Transformer‐Based Approach to Medical Image Segmentation4
A Hybrid Deep Learning Framework Using Scaling‐Basis Chirplet Transform for Motor Imagery EEG Recognition in Brain–Computer Interface Applications4
An extensive upgrading of contact diffuse CorrelationTomography system4
A novel EEG channel selection and classification methodology for multi‐class motor imagery‐based BCI system design4
Early cervical cancer diagnosis using Sooty tern‐optimized CNN‐LSTM classifier4
Categorization of breast masses based on deep belief network parameters optimized using chaotic krill herd optimization algorithm for frequent diagnosis of breast abnormalities4
Issue Information4
ESFCU‐Net: A Lightweight Hybrid Architecture Incorporating Self‐Attention and Edge Enhancement Mechanisms for Enhanced Polyp Image Segmentation4
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification4
Detection and classification of large bowel obstruction from X‐ray images using machine learning algorithms4
3D MedicalDet‐Mamba: A Hybrid Mamba‐CNN Network for Medical Object Detection and Localization4
Multimodal Fusion for Enhanced Semantic Segmentation in Brain Tumor Imaging: Integrating Deep Learning and Guided Filtering Via Advanced 3D Semantic Segmentation Architectures4
CATNet: A Cross Attention and Texture‐Aware Network for Polyp Segmentation4
Efficient feature extraction and hybrid deep learning for early identification of uterine fibroids in ultrasound images4
Dual‐branch feature extraction network combined with Transformer and CNN for polyp segmentation4
An improved invasive weed optimization enabled Shepard convolutional neural network for classification of breast cancer4
Multimodal MRI‐Based Glioma Segmentation and MGMT Promoter Methylation Status Prediction Using Multitask Learning Architecture4
Topological features in addition to radiomics signature predict 1p19q status and tumor grade in low‐grade gliomas4
A method for detecting and classifying the tumor regions in brain MRI images using vector index filtering and ANFIS classification process4
YOLOv5 based detector for eight different urine particles components on single board computer4
Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model‐agnostic explanations4
Examining the classification performance of pre‐trained capsule networks on imbalanced bone marrow cell dataset4
Uncertainty‐guided self‐ensembling model for semi‐supervised segmentation of multiclass retinal fluid in optical coherence tomography images4
Enc‐Unet: A novel method for Glioma segmentation4
Leveraging Local and Global Features for Enhanced Segmentation of Brain Metastatic Tumors in Magnetic Resonance Imaging4
An efficient wavelet thresholding strategy and robust shrinkage approach for de‐noising ECG signal4
Issue Information4
Enhancing Melanoma Diagnostic: Harnessing the Synergy of AI and CNNs for Groundbreaking Advances in Early Melanoma Detection and Treatment Strategies4
CAS‐GAN: A Novel Generative Adversarial Network‐Based Architecture for Coronary Artery Segmentation4
GTMamba: Graph Tri‐Orientated Mamba Network for 3D Brain Tumor Segmentation4
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