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 2021-04-01 to 2025-04-01.)
ArticleCitations
Deep learning‐based robust hybrid approaches for brain tumor classification in magnetic resonance images80
Improvement of thin retinal vessel extraction using mean matting method69
CAB‐Net: Convolutional attention BLSTM network for enhanced leukocyte classification65
RR‐HCL‐SVM: A two‐stage framework for assessing remaining thyroid tissue post‐thyroidectomy in SPECT images65
Range and variability of CBF in young adults: PC‐MRI and ASL studies52
Assessment of magnetic resonance imaging and histopathological changes in chordoid glioma: A retrospective analysis of 13 cases52
Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi‐channel feature extraction and selection50
Distributional stochastic Planner‐Actor‐Critic for deformable image registration49
Deriving and interpreting robust features for survival prediction of brain tumor patients45
Resolution improvement using enriched Krylov subspace for microwave tomography breast imaging system43
A computed tomography signs quantization analysis method for pulmonary nodules malignancy grading41
Combining PropSeg and a convolutional neural network for automatic spinal cord segmentation in pediatric populations and patients with spinal cord injury39
CSDL‐Net: An iterative network based on compressed sensing and deep learning38
Issue Information37
A novel adaptive class weight adjustment‐based multiclass segmentation error minimization technique for COVID‐19 X‐ray image analysis35
A precise and timely graph‐based approach to identify SARS Covid19 infection from medical imaging data using IsoCovNet35
Multi‐scale decomposition‐based CT‐MR neurological image fusion using optimized bio‐inspired spiking neural model with meta‐heuristic optimization34
A lightweight capsule network architecture for detection of COVID‐19 from lung CT scans31
Echocardiography image segmentation using semi‐automatic numerical optimisation method based on wavelet decomposition thresholding31
RETRACTED: Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics30
Design of rectangular coaxial slot antenna for ultra‐high‐field magnetic resonance imaging30
Hybrid time‐reassigned multisynchrosqueezing transform‐Picard‐based automated electroencephalography artifact correction methodology for brain–computer interface applications30
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Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning29
Colour‐based segmentation using FCM and K‐means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure28
A lightweight deep learning model for retinal optical coherence tomography image classification27
A dual channel and spatial attention network for automatic spine segmentation of MRI images27
Active contour and texture features hybrid model for breast cancer detection from ultrasonic images22
Issue Information22
Non‐invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics21
Mammographic mass recognition using feature reuse and channel attention mechanism21
Machine learning‐based tri‐stage classification of Alzheimer's progressive neurodegenerative disease usingPCAandmRMRadministered textural, orientational, and spatial features21
Effect of physical exercise and noninvasive brain stimulation on cognition and dementia of elderly people with frailty: A randomized study21
Cover Image20
Research on the magnetic resonance imaging brain tumor segmentation algorithm based on DO‐UNet20
Individualized real‐time prediction of working memory performance by classifying electroencephalography signals20
A deeply supervised maximum response texton basedSegNetfor simultaneous multi retinal lesion segmentation20
Issue Information19
Computerized diagnosis of knee osteoarthritis from x‐ray images using combined texture features: Data from the osteoarthritis initiative19
An efficient deep learning algorithm for the segmentation of cardiac ventricles19
Edge and anomaly detection of brain magnetic resonance images in a distributed environment19
End‐to‐end light‐weighted deep‐learning model for abnormality classification in kidney CT images19
Issue Information18
Issue Information18
Automated knee osteoarthritis severity classification using three‐stage preprocessing method andVGG16architecture18
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A powerful probabilistic model for noise analysis in medical images16
CasUNeXt: A Cascaded Transformer With Intra‐ and Inter‐Scale Information for Medical Image Segmentation16
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A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer16
A joint segmentation and classification framework for COVID‐19 infection segmentation and detection from chest CT images16
Multi‐classificationof brain tumor by using deep convolutional neural network model inmagnetic resonance imagingimages16
Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images16
Maximum isotope accumulation in the retrosplenial cortex during amnesia attack and its temporal change suggest cortical spreading depression as a pathophysiology of patients with transient global amne15
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification15
A generalizable approach based on the U‐Net model for automatic intraretinal cyst segmentation in SD‐OCT images15
Cerebral stroke classification based on fusion model of 3D EmbedConvNext and 3D Bi‐LSTM network15
Reduction Accelerated Adaptive Step‐Size FISTA Based Smooth‐Lasso Regularization for Fluorescence Molecular Tomography Reconstruction15
Multimodal medical image fusion using L0 gradient smoothing with sparse representation15
Issue Information15
Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer 14
NCA‐based hybrid convolutional neural network model for classification of cervical cancer on gauss‐enhanced pap‐smear images14
MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation14
Attention augmented residual autoencoder for efficient polyp segmentation13
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection13
It is time to make neuroimaging research data beneficial to the participants13
Polyp segmentation network based on lightweight model and reverse attention mechanisms13
Brain tumor detection and patient survival prediction using U‐Net and regression model13
Cover Image13
Segmentation of brain tumor subregions with depthwise separable dense U‐NET (DSDU‐NET)12
A novel automated depression detection technique using text transcript12
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model12
Optimal channel and frequency band‐based feature selection for motor imagery electroencephalogram classification12
Retinal fundus image registration framework using Bayesian integration and asymmetric Gaussian mixture model12
A Deep Learning Method Enables Quantitative and Automatic Measurement of Rat Liver Histology in NAFLD11
Convolutional Neural Network‐Based CT Image Segmentation of Kidney Tumours11
Morphological Complexity of Intrapapillary Capillary Loops for Predicting the Invasion Depth of Superficial Esophageal Neoplasms Using Narrow‐Band Imaging11
Brain Tumor Segmentation Based on α‐Expansion Graph Cut11
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Instrumentation for TMSEEG Experiment: ArTGen and a Custom EEG Interface11
A New Herbal Source of Synthesizing Contrast Agents for Magnetic Resonance Imaging11
Real‐time automated segmentation of breast lesions using CNN‐based deep learning paradigm: Investigation on mammogram and ultrasound11
Medical Image Fusion for Multiple Diseases Features Enhancement10
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study10
Deep hybrid model for Mpox disease diagnosis from skin lesion images10
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer10
An ensemble model of convolution and recurrent neural network for skin disease classification10
Advancing skin cancer diagnosis with a multi‐branch ShuffleNet architecture10
A Multispectral Blood Smear Background Images Reconstruction for Malaria Unstained Images Normalization10
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images10
DAG‐Net: Dual‐Branch Attention‐Guided Network for Multi‐Scale Information Fusion in Lung Nodule Segmentation10
Retraction: “Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection”10
Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging10
Efficient spine segmentation network based on multi‐scale feature extraction and multi‐dimensional spatial attention10
TACT: Text attention based CNN‐Transformer network for polyp segmentation10
An automatic channel selection method based on the standard deviation of wavelet coefficients for motor imagery based brain–computer interfacing10
Correction to ‘ORYX‐MRSI: A fully‐automated open‐source software for proton magnetic resonance spectroscopic imaging data analysis’10
Intra voxel analysis in magnetic resonance imaging via deep learning9
GRASP‐Net: Grouped Residual Convolution U‐Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using MR Images9
Issue Information9
A novel discriminant feature selection–based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction9
Denoising of computed tomography using bilateral median based autoencoder network9
Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp9
Breast cancer: A hybrid method for feature selection and classification in digital mammography8
A hybrid deep neural network‐based automated diagnosis system using x‐ray images and clinical findings8
Brain tumor image segmentation based on prior knowledge via transformer8
MMCAF: A Survival Status Prediction Method Based on Cross‐Attention Fusion of Multimodal Colorectal Cancer Data8
Cross‐Species Segmentation of Animal Prostate Using a Human Prostate Dataset and Limited Preoperative Animal Images: A Sampled Experiment on Dog Prostate Tissue8
Hybrid‐NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis8
CA‐UNet: Convolution and attention fusion for lung nodule segmentation8
Diffusion‐Based Causality‐Preserving Neural Network for Dementia Recognition8
A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema8
Diffusion tensor imaging from past to present: A bibliometric analysis with trending topics and global productivity during 1980–20228
Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification8
GR‐Net: Gated axial attention ResNest network for polyp segmentation8
Multiencoder‐based federated intelligent deep learning model for brain tumor segmentation8
Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR‐only radiation therapy8
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning8
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model8
Simulation Design of a Triple Antenna Combination for PETMRI Imaging Compatible With 3, 7, and 11.74 T MRI Scanner7
STU3Net: An Improved U‐Net With Swin Transformer Fusion for Thyroid Nodule Segmentation7
Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba‐Based Network for Registration Performance Enhancement7
An improved method for thyroid nodule ultrasound image segmentation based on U2‐Net7
Efficient feature subset selection and classification using levy flight‐based cuckoo search optimization with parallel support vector machine for the breast cancer data7
Intervertebral Cervical Disc Intensity (IVCDI) Detection and Classification on MRI Scans Using Deep Learning Methods7
RetNet30: A Novel Stacked Convolution Neural Network Model for Automated Retinal Disease Diagnosis7
Dermo‐Optimizer: Skin Lesion Classification Using Information‐Theoretic Deep Feature Fusion and Entropy‐Controlled Binary Bat Optimization7
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas7
cyto‐Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels7
Cross‐Layer Connection SegFormer Attention U‐Net for Efficient TRUS Image Segmentation7
SSANet—Novel Residual Network for Computer‐Aided Diagnosis of Pulmonary Nodules in Chest Computed Tomography7
RIBM3DU‐Net: Glioma tumour substructures segmentation in magnetic resonance images using residual‐inception block with modified 3D U‐Net architecture7
Detection of lung tumor using dual tree complex wavelet transform and co‐active adaptive neuro fuzzy inference system classification approach7
Feature selection and classification using bio‐inspired algorithms for the diagnosis of pulmonary emphysema subtypes6
Patch‐based local deep feature extraction for automated skin cancer classification6
COVID‐opt‐aiNet: A clinical decision support system for COVID‐19 detection6
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation6
An encoder–decoder and modified U‐Net network for microwave imaging of stroke6
CFIFusion: Dual‐Branch Complementary Feature Injection Network for Medical Image Fusion6
Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI‐RADS 4 lesions6
BDU‐net: Toward accurate segmentation of dental image using border guidance and feature map distortion6
Accelerated brain tumor dynamic contrast‐enhanced MRI using Adaptive Pharmaco‐Kinetic Model Constrained method6
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MRCMUCTransNet: Automatic and Accurate 3D Tooth Segmentation Network From Cone‐Beam CT Images6
Retraction: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm6
LMSA‐Net: A lightweight multi‐scale aware network for retinal vessel segmentation6
Predicting lung cancer treatment response from CT images using deep learning6
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder‐decoder network6
Radiomic feature reliability of amide proton transfer‐weighted MR images acquired with compressed sensing at 3 T6
Image reconstruction for diffuse optical tomography using bi‐conjugate gradient and transpose‐free quasi minimal residual algorithms and comparison of them6
SOCR‐YOLO: Small Objects Detection Algorithm in Medical Images6
Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U‐Net model5
COVID‐19: A systematic review of prediction and classification techniques5
Dynamic weight HiLo attention network for medical image multiple organ segmentation5
Shell‐Net: A robust deep neural network for the joint segmentation of retinal fragments5
Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states5
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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 dee5
A Novel Dictionary Learning Algorithm Based on Prior Knowledge for fMRI Data Analysis5
Reconstruction of conductivity distribution with a compound variational strategy in electrical impedance tomography5
YOLOv7XAI: Multi‐Class Skin Lesion Diagnosis Using Explainable AI With Fair Decision Making5
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features5
Lung lobe segmentation in computed tomography images based on multi‐feature fusion and ensemble learning framework5
Dense and shuffle attention U‐Net for automatic skin lesion segmentation5
Issue Information5
Improved sparse representation algorithm for optical coherence tomography images5
Two‐dimensional medical image segmentation based on U‐shaped structure5
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis5
Deep Learning‐Based Automated Detection and Grading of Papilledema From OCT Images: A Promising Approach for Improved Clinical Diagnosis and Management5
Retinal Blood Vessels Segmentation With Improved SE‐UNet Model5
Lightweight Deep Learning Model Optimization for Medical Image Analysis5
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI5
Recognition of Diabetic Retinopathy Grades Based on Data Augmentation and Attention Mechanisms5
COVID‐19 lung infection segmentation from chest CT images based on CAPA‐ResUNet5
Issue Information5
Real‐time coloring method of laser surgery video based on generative adversarial network5
Predicting coronary artery disease using learning rate based snow leopard optimization with soft swish scaling based bidirectional long short‐term memory5
Stacked deep model‐based classification of the multiclass brain hemorrhages in CT scans5
A combination of multi‐scale and attention based on the U‐shaped network for retinal vessel segmentation5
A Lightweight Multimodal Xception Network for Glioma Grading Using MRI Images5
VMCUNet: A Vision Mamba‐CNN U‐Net for Tumor Segmentation in Breast Ultrasound Image5
Theoretical and experimental sensing of bone healing by microwave approach5
Squeeze and multi‐context attention for polyp segmentation5
ContourGAN: Auto‐contouring of organs at risk in abdomen computed tomography images using generative adversarial network4
An exploration of ventricle regions segmentation and multiclass disease detection using cardiacMRI4
A novel machine learning‐based analytical framework for automatic detection of COVID‐19 using chest X‐ray images4
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K‐means clustering4
VEntNet: Hybrid deep convolutional neural network model for automated multi‐class categorization of chest X‐rays4
Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches4
Identification of rheumatoid arthritis using bone image features with radial basis function neural networks4
A universal medically assisted model for anatomical landmark detection in radioactive images4
Fusing feature and output space for unsupervised domain adaptation on medical image segmentation4
A deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning4
Empowering ultrasound image filtering precision by reducing speckles and preserving edge cues4
Lung cancer detection by using probabilistic majority voting and optimization techniques4
A feasibility study of a portable intraoperative specimen imaging X‐ray system based on carbon nanotube field emitters4
SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation4
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture4
SwinRes: A hybrid model that effectively diagnoses COVID‐19 through x‐ray lung images4
An automatic gastric polyp detection technique using deep learning4
3D multi‐resolution deep learning model for diagnosis of multiple pathological types on pulmonary nodules4
Classifications of benign and malignant mammogram images using Gabor‐modified CNN architecture4
Automated measurement of sulcus angle on axial knee magnetic resonance images4
Large‐scaled detection of COVID‐19 from X‐ray using transfer learning4
Differentiation of tumoral and non‐tumoral breast lesions using back reflection diffuse optical tomography: A pilot clinical study4
Development of handheld optical coherence tomography based on commercial intra‐oral scanner shape for extended clinical utility in dentistry4
Registration‐enhanced multiple instance learning for cervical cancer whole slide image classification4
Research on multi‐center assisted diagnosis of ASD based on multimodal feature fusion4
Comparative analysis of cone‐beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms4
Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features3
Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology3
Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images3
Lightweight Local–Global Fusion for Robust Multiclass Classification of Skin Lesions3
Optimizing Breast Cancer Detection: Integrating Few‐Shot and Transfer Learning for Enhanced Accuracy and Efficiency3
3D U‐Net‐Based Brain Tumor Semantic Segmentation Using a Modified Data Generator3
An end‐to‐end brain tumor segmentation system using multi‐inception‐UNET3
An effective human monkeypox classification using vision transformer3
A machine learning‐based method for automatic diagnosis of ankle fracture using X‐ray images3
Lung CT image enhancement based on total variational frame and wavelet transform3
Alzheimer's detection using various feature extraction approaches using a multimodal multi‐class deep learning model3
A joint autoencoder and classifier deep neural network for AD and MCI classification3
Generating Medical Reports With a Novel Deep Learning Architecture3
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Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images3
Performance analysis ofstate‐of‐the‐art CNNarchitectures for brain tumour detection3
LSS‐net: 3‐dimensional segmentation of the spinal canal for the diagnosis of lumbar spinal stenosis3
Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging3
Chronic Wound Assessment System Using an Improved UPerNet Model3
An efficient convolutional histogram‐oriented gradients and deep convolutional learning approach for accurate classification of bone cancer3
CLAUNet: Convolution and Focused Linear Attention Fusion for Tumor Cell Nucleus Segmentation3
SVTNet: Automatic bone age assessment network based onTW3method and vision transformer3
Brain tumor image pixel segmentation and detection using an aggregation of GAN models with vision transformer3
LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images3
MacD‐Net: An automatic guided‐ensemble approach for macular pathology detection using optical coherence tomography images3
Performance analysis of various denoising filters on intravascular ultrasound coronary artery images3
ConvNext Mixer‐Based Encoder Decoder Method for Nuclei Segmentation in Histopathology Images3
CerviFormer: A pap smear‐based cervical cancer classification method using cross‐attention and latent transformer3
Pathological categorization of lung carcinoma from multimodality images using convolutional neural networks3
A new medical image enhancement algorithm using adaptive parameters3
MEDCnet: A Memory Efficient Approach for Processing High‐Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN3
Classification of Hepatic Nodules Using an Improved WOA‐SVM Radiomics Model3
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 im3
A machine learning classification approach based glioma brain tumor detection3
DMLGNN: ASD Diagnosis Based on Dual‐Atlas Multi‐Feature Learning Graph Neural Network3
Breast cancer histopathological image classification using attention high‐order deep network3
MFH‐Net: A Hybrid CNN‐Transformer Network Based Multi‐Scale Fusion for Medical Image Segmentation3
Improved multiple sclerosis diagnosis with advanced deep learning techniques3
Real‐time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models3
A deep learning approach for classification of COVID and pneumonia using DenseNet‐2013
Automatic detection and segmentation of lung nodules in different locations from CT images based on adaptive α‐hull algorithm and DenseNet convolutional network3
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