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 2021-08-01 to 2025-08-01.)
ArticleCitations
Issue Information91
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Denoising of computed tomography using bilateral median based autoencoder network64
Design of rectangular coaxial slot antenna for ultra‐high‐field magnetic resonance imaging62
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection60
A dual channel and spatial attention network for automatic spine segmentation of MRI images58
An ensemble model of convolution and recurrent neural network for skin disease classification55
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study54
Modified Transformer‐Based Pixel Segmentation for Breast Tumor Detection47
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model41
An efficient deep learning algorithm for the segmentation of cardiac ventricles41
Polyp segmentation network based on lightweight model and reverse attention mechanisms40
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 Classification37
GRASP‐Net: Grouped Residual Convolution U‐Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using MR Images36
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model36
CITMambaNet: Cross Modality Progressive Fusion ITMamba Network for PETCT Medical Image Segmentation32
Multi‐classificationof brain tumor by using deep convolutional neural network model inmagnetic resonance imagingimages32
A lightweight deep learning model for retinal optical coherence tomography image classification30
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer30
A novel automated depression detection technique using text transcript27
Issue Information26
MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation26
Squeeze and multi‐context attention for polyp segmentation25
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Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K‐means clustering24
An automatic gastric polyp detection technique using deep learning24
Performance analysis of various denoising filters on intravascular ultrasound coronary artery images24
Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states24
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Microaneurysm Detection With Multiscale Attention and Trident RPN23
Accelerated brain tumor dynamic contrast‐enhanced MRI using Adaptive Pharmaco‐Kinetic Model Constrained method23
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 im23
VMCUNet: A Vision Mamba‐CNN U‐Net for Tumor Segmentation in Breast Ultrasound Image22
Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging22
SSANet—Novel Residual Network for Computer‐Aided Diagnosis of Pulmonary Nodules in Chest Computed Tomography21
Two‐dimensional medical image segmentation based on U‐shaped structure21
RIBM3DU‐Net: Glioma tumour substructures segmentation in magnetic resonance images using residual‐inception block with modified 3D U‐Net architecture21
GSCCANet: Dual Decoder Network Fusing Edge Focus and Global Channel Attention for Precise Segmentation of Colonic Polyps20
TPA‐Seg: Multi‐Class Nucleus Segmentation Using Text Prompts and Cross‐Attention20
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis19
Empowering ultrasound image filtering precision by reducing speckles and preserving edge cues19
Retraction: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm18
Feature selection and classification using bio‐inspired algorithms for the diagnosis of pulmonary emphysema subtypes18
A joint autoencoder and classifier deep neural network for AD and MCI classification18
Registration‐enhanced multiple instance learning for cervical cancer whole slide image classification18
Multi‐level deep learning based lung cancer classifier for classification based on tumour‐node‐metastasis approach17
Embedded System‐Based Malaria Detection From Blood Smear Images Using Lightweight Deep Learning Model17
A modified contrast source inversion method for microwave tomographic imaging of Debye dispersive media17
An automatic measurement method for ankle key angles based on point cloud segmentation network17
Estimation of Nonhomogeneous Noise in 2D Magnetic Resonance Imaging17
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Rapid Early Screening for Lymphedema Using Kinect16
Preparing a successful Special Issue proposal16
Enhanced ECG Signal Classification Using Multi‐Branch Convolutions and Mamba Blocks With State‐Space Models16
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Deep Depthwise Residual Network for Knee Meniscus Segmentation From Magnetic Resonance Imaging16
Automated differentiation of skin melanocytes from keratinocytes in high‐resolution histopathology images using a weakly‐supervised deep‐learning framework15
A CNN transfer learning‐based approach for segmentation and classification of brain stroke from noncontrast CT images15
Taylor series‐based deep belief network for automatic classification of diabetic retinopathy using retinal fundus images14
Ventricular segmentation and modeling using topological watershed transformation and harmonic state model14
Distributed autoencoder classifier network for small‐scale and scattered COVID‐19 dataset classification14
Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features14
SABOS‐Net: Self‐supervised attention based network for automatic organ segmentation of head and neck CT images14
HPKNN: Hyper‐parameter optimized KNN classifier for classification of poikilocytosis14
Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement14
Federated learning‐based colorectal cancer classification by convolutional neural networks and general visual representation learning14
Automatic semantic segmentation for dental restorations in panoramic radiography images using U‐Net model14
Automated Segmentation of Brain Gliomas in Multimodal MRI Data13
Correction to “Multi‐Branch Sustainable Convolutional Neural Network for Disease Classification”13
Advanced Image Enhancement and a Lightweight Feature Pyramid Network for Detecting Microaneurysms in Diabetic Retinopathy Screening13
Sleep disorder identification using wavelet scattering on ECG signals13
Identification of biological markers in cancer disease using explainable artificial intelligence13
A Hybrid Deep Spatiotemporal Attention‐Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals13
Feature Pyramid Network Based Spatial Attention and Cross‐Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images13
Issue Information13
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm13
Efficient multiscale spatial attention3Dabdominal multiorgan segmentation model13
Cover Image13
Using normalized echo state network to detect abnormal ECG patterns13
Issue Information12
An optimal system for increasing the contrast resolution qualities of histopathology images in the wavelet domain12
Automated diagnosis of COVID stages using texture‐based Gabor features in variational mode decomposition from CT images12
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Denoising smooth‐detail representation of MRI‐SPECT fusion12
Extended and optimized deep convolutional neural network‐based lung tumor identification in big data12
Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets12
Issue Information12
An Explainable AI for Blood Image Classification With Dynamic CNN Model Selection Framework12
A deep learning‐basedx‐rayimaging diagnosis system for classification of tuberculosis,COVID‐19, and pneumonia traits using evolutionary algorithm11
Research on data classification and feature fusion method of cancer nuclei image based on deep learning11
An AGRetinaNet for Embryonic Blastomeres Detection and Counting11
A Structure‐Preserving Denoising Diffusion Model for AV45 PET Quantification Without MRI in Alzheimer's Disease Diagnosis11
Medical image contrast enhancement based on improved sparrow search algorithm11
Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting11
Application of SVM Based on Optimization of Newton Raphson's Algorithm in Non‐Invasive Blood Glucose Detection11
Feature Subspace Projection Knowledge Distillation for Medical Image Segmentation11
An intelligent fuzzy inference rule‐based expert recommendation system for predictive diabetes diagnosis10
Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta‐heuristic assisted deep learning model10
Deep learning based automated detection of intraretinal cystoid fluid10
A deep conventional neural network model for glioma tumor segmentation10
A method to measure data complexity of a complicated medical data set10
An affinity propagated clustering aided computerized Inherent Seeded Region Growing and Deep learned Marching Cubes Algorithm (ISRG‐DMCA) based three dimensional image reconstruction approa10
A Dynamic Multi‐Output Convolutional Neural Network for Skin Lesion Classification10
Detection of liver abnormalities—A new paradigm in medical image processing and classification techniques10
Multiscale attention network for retinal vein occlusion classification with multicolor image10
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
PC‐SNet for automated detection of prostate cancer in multiparametric‐magnetic resonance imaging10
Neuromuscular disease detection based on feature extraction from time–frequency images of EMG signals employing robust hyperbolic Stockwell transform9
Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals9
GAN‐segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation9
An interpretable deep learning Bayesian optimized random forest framework for the diagnosis of Parkinson's disease in structural magnetic resonance images9
An efficient quantification of COVID‐19 in chest CT images with improved semantic segmentation using U‐Net deep structure9
An effective detection of COVID‐19 using adaptive dual‐stage horse herd bidirectional long short‐term memory framework9
Structural biomarker‐based Alzheimer's disease detection via ensemble learning techniques9
MTBAAN: Multi‐View Topological Bilinear Aggregation Attention Network Model for Alzheimer's Disease Diagnosis9
Genetic‐based adaptive momentum estimation for predicting mortality risk factors for COVID‐19 patients using deep learning9
A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection9
A region of interest focused Triple UNet architecture for skin lesion segmentation9
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images9
Multimodal Connectivity‐Guided Glioma Segmentation From Magnetic Resonance Images via Cascaded 3D Residual U‐Net8
C‐TUnet: A CNN‐Transformer Architecture‐Based Ultrasound Breast Image Classification Network8
Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semisupervised Cross nnSU‐Net8
Effect of physical exercise and noninvasive brain stimulation on cognition and dementia of elderly people with frailty: A randomized study8
A Novel Edge‐Enhanced Networks for Optic Disc and Optic Cup Segmentation8
Convolution Block Extension of DCNN for Retinal Vascular Segmentation: Taxonomy and Discussion8
A joint segmentation and classification framework for COVID‐19 infection segmentation and detection from chest CT images8
Retinal fundus image registration framework using Bayesian integration and asymmetric Gaussian mixture model8
Breaking Barriers in Cancer Diagnosis: Super‐Light Compact Convolution Transformer for Colon and Lung Cancer Detection8
Issue Information8
Cover Image8
Issue Information8
A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer7
Advancing Computer‐Assisted Diabetic Retinopathy Grading: A Super Learner Ensemble Technique for Fundus Imagery7
A Metaheuristic‐Based Conductivity Distribution Optimization Method for Accurate Imaging in Electrical Impedance Tomography7
Assessment of magnetic resonance imaging and histopathological changes in chordoid glioma: A retrospective analysis of 13 cases7
Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi‐channel feature extraction and selection7
Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification7
Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp7
Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning7
Pneumonia Image Classification Based on Lightweight Mobile ViT Networks7
Automated knee osteoarthritis severity classification using three‐stage preprocessing method andVGG16architecture7
Colour‐based segmentation using FCM and K‐means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure7
A deeply supervised maximum response texton basedSegNetfor simultaneous multi retinal lesion segmentation7
Improving Image Quality of Thin‐Slice and Low‐keV Images in Dual‐Energy CT Angiography for Children With Neuroblastoma Using Deep Learning Image Reconstruction7
Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging7
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Attention augmented residual autoencoder for efficient polyp segmentation7
Efficient spine segmentation network based on multi‐scale feature extraction and multi‐dimensional spatial attention7
Convolutional Neural Network‐Based CT Image Segmentation of Kidney Tumours7
Optimize Neural Fuzzy Systems for High‐Dimensional Breast Cancer Data Analysis: A Deep Learning Approach7
Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI‐RADS 4 lesions6
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
ORYX‐MRSI: A fully‐automated open‐source software for proton magnetic resonance spectroscopic imaging data analysis6
Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images6
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI6
Real‐time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models6
CFIFusion: Dual‐Branch Complementary Feature Injection Network for Medical Image Fusion6
Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches6
SOCR‐YOLO: Small Objects Detection Algorithm in Medical Images6
Discriminative Consistency Semi‐Supervised Carotid Ultrasound Plaque Segmentation by Exploiting Global Context6
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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 coloring method of laser surgery video based on generative adversarial network6
MacD‐Net: An automatic guided‐ensemble approach for macular pathology detection using optical coherence tomography images6
COVID‐19 lung infection segmentation from chest CT images based on CAPA‐ResUNet6
Fusing feature and output space for unsupervised domain adaptation on medical image segmentation6
TAU‐EffNetB7: A Novel Triple Attention U‐Net Approach Using EfficientNetB7 for Enhanced Polyp Segmentation6
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid‐based deep models6
Approaches to preclinical studies with heterogeneous breast phantom using reconstruction and three‐dimensional image processing algorithms for diffuse optical imaging6
Lung lobe segmentation in computed tomography images based on multi‐feature fusion and ensemble learning framework6
Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba‐Based Network for Registration Performance Enhancement6
A new medical image enhancement algorithm using adaptive parameters6
Constructing brain functional networks with adaptive manifold regularization for early mild cognitive impairment5
Deep Learning and Handcrafted Features for Thyroid Nodule Classification5
Dual‐Path Multi‐Scale CNN for Precise Classification of Non‐Small Cell Lung Cancer5
AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation5
Cover Image5
An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning5
Issue Information5
EDenseNetViT: Leveraging Ensemble Vision Transform Integrated Transfer Learning for Advanced Differentiation and Severity Scoring of Tuberculosis5
ESFCU‐Net: A Lightweight Hybrid Architecture Incorporating Self‐Attention and Edge Enhancement Mechanisms for Enhanced Polyp Image Segmentation5
An Enhanced Double‐Unet Segmentation Framework for the Early Detection of Diabetic Retinopathy5
Robust nuclei segmentation with encoder‐decoder network from the histopathological images5
Deep learning based Glaucoma Network Classification (GNC) using retinal images5
CBAM Attention Gate‐Based Lightweight Deep Neural Network Model for Improved Retinal Vessel Segmentation5
Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data5
NIRII Fluorescence Image Translation via Latent Space Disentanglement5
HCN: Hybrid Capsule Network for Fetal Plane Classification in Ultrasound Images5
Novel Model of Medical CT Image Segmentation Based on GANs With Residual Neural Networks5
SAtUNet: Series atrous convolution enhanced U‐Net for lung nodule segmentation5
YOLOv5 based detector for eight different urine particles components on single board computer5
Multi‐branch sustainable convolutional neural network for disease classification5
Multiscale Dynamic Attention Framework for Skin Lesion Segmentation and Classification5
GLAN: Global Local Attention Network for Thoracic Disease Classification to Enhance Heart Failure Diagnosis5
FPUNet: A Multi‐Level Residual Fractional Domain Transformer Network for Ischemic Stroke Image Segmentation5
BCUIS‐Net: A breast cancer ultrasound image segmentation network via boundary‐aware and shape feature fusion5
MAUNet: Polyp segmentation network based on multiscale feature fusion of attention U‐shaped network structure5
A Novel Transfer Learning Approach for Skin Cancer Classification on ISIC 2024 3D Total Body Photographs5
Intelligent MRI diagnosis of neurological alterations in infants from 4 to 12 months5
Multi‐planar 3D knee MRI segmentation via UNet inspired architectures5
Unsupervised Domain Adaptation for Simultaneous Segmentation and Classification of the Retinal Arteries and Veins5
Whole slide cervical image classification based on convolutional neural network and random forest5
Improved GAN for image resolution enhancement using ViT for breast cancer detection5
A Novel Deep Learning Model Based Cancerous Lung Nodules Severity Grading Framework Using CT Images5
CS U‐NET: A Medical Image Segmentation Method Integrating Spatial and Contextual Attention Mechanisms Based on U‐NET5
Systematic study and design of multimodal MRI image augmentation for brain tumor detection with loss aware exchange and residual networks5
CAS‐GAN: A Novel Generative Adversarial Network‐Based Architecture for Coronary Artery Segmentation5
Interactive CNN and Transformer‐Based Cross‐Attention Fusion Network for Medical Image Classification5
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Total variation‐based ultrasound image despeckling using method noise thresholding in non‐subsampled contourlet transform4
The influence of the activation function in a capsule network for brain tumor type classification4
Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach4
Enhancing Melanoma Diagnostic: Harnessing the Synergy of AI and CNNs for Groundbreaking Advances in Early Melanoma Detection and Treatment Strategies4
Leveraging Local and Global Features for Enhanced Segmentation of Brain Metastatic Tumors in Magnetic Resonance Imaging4
Issue Information4
Efficient‐Residual Net—A Hybrid Neural Network for Automated Brain Tumor Detection4
Accurate and fast extraction of adhesive cells based on concave points detection and matching4
A transformer‐based deep neural network for detection and classification of lung cancer via PET/CT images4
Diagnosing of Parkinson's disease based on hand drawing analysis using Bi‐Directional LSTM equipped with fuzzy inferential soft‐max classifier4
Topological features in addition to radiomics signature predict 1p19q status and tumor grade in low‐grade gliomas4
Detection and classification of large bowel obstruction from X‐ray images using machine learning algorithms4
An alternative approach for determining the cholesterol level: Iris analysis4
An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects4
HeCapsNet: An enhanced capsule network for automated heel disease diagnosis using lateral foot X‐Ray images4
Efficient breast cancer diagnosis using multi‐level progressive feature aggregation based deep transfer learning system4
CATNet: A Cross Attention and Texture‐Aware Network for Polyp Segmentation4
ResTrans‐Unet: A Residual‐Aware Transformer‐Based Approach to Medical Image Segmentation4
Hybrid Wavelet‐Deep Learning Framework for Fluorescence Microscopy Images Enhancement4
Issue Information4
Examining the classification performance of pre‐trained capsule networks on imbalanced bone marrow cell dataset4
3D MedicalDet‐Mamba: A Hybrid Mamba‐CNN Network for Medical Object Detection and Localization4
Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model‐agnostic explanations4
An improved invasive weed optimization enabled Shepard convolutional neural network for classification of breast cancer4
Categorization of breast masses based on deep belief network parameters optimized using chaotic krill herd optimization algorithm for frequent diagnosis of breast abnormalities4
XCapsNet: A deep neural network for automated detection of diabetic retinopathy4
An efficient brain tumor segmentation model based on group normalization and 3D U‐Net4
A novel EEG channel selection and classification methodology for multi‐class motor imagery‐based BCI system design4
MTGWNN: A Multi‐Template Graph Wavelet Neural Network Identification Model for Autism Spectrum Disorder4
Multimodal Fusion for Enhanced Semantic Segmentation in Brain Tumor Imaging: Integrating Deep Learning and Guided Filtering Via Advanced 3D Semantic Segmentation Architectures4
Efficient feature extraction and hybrid deep learning for early identification of uterine fibroids in ultrasound images4
GTMamba: Graph Tri‐Orientated Mamba Network for 3D Brain Tumor Segmentation4
Uncertainty‐guided self‐ensembling model for semi‐supervised segmentation of multiclass retinal fluid in optical coherence tomography images4
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification4
Early cervical cancer diagnosis using Sooty tern‐optimized CNN‐LSTM classifier4
A method for detecting and classifying the tumor regions in brain MRI images using vector index filtering and ANFIS classification process4
Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images4
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