International Journal of Imaging Systems and Technology

Papers
(The TQCC of International Journal of Imaging Systems and Technology is 4. 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 2021-03-01 to 2025-03-01.)
ArticleCitations
Deep learning‐based robust hybrid approaches for brain tumor classification in magnetic resonance images86
Improvement of thin retinal vessel extraction using mean matting method64
Advancing skin cancer diagnosis with a multi‐branch ShuffleNet architecture60
RR‐HCL‐SVM: A two‐stage framework for assessing remaining thyroid tissue post‐thyroidectomy in SPECT images57
CAB‐Net: Convolutional attention BLSTM network for enhanced leukocyte classification53
Range and variability of CBF in young adults: PC‐MRI and ASL studies48
Assessment of magnetic resonance imaging and histopathological changes in chordoid glioma: A retrospective analysis of 13 cases43
Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi‐channel feature extraction and selection41
TACT: Text attention based CNN‐Transformer network for polyp segmentation41
Distributional stochastic Planner‐Actor‐Critic for deformable image registration37
Resolution improvement using enriched Krylov subspace for microwave tomography breast imaging system36
Deriving and interpreting robust features for survival prediction of brain tumor patients36
Combining PropSeg and a convolutional neural network for automatic spinal cord segmentation in pediatric populations and patients with spinal cord injury36
A computed tomography signs quantization analysis method for pulmonary nodules malignancy grading36
CSDL‐Net: An iterative network based on compressed sensing and deep learning35
Issue Information34
A precise and timely graph‐based approach to identify SARS Covid19 infection from medical imaging data using IsoCovNet32
A novel adaptive class weight adjustment‐based multiclass segmentation error minimization technique for COVID‐19 X‐ray image analysis30
Diffusion‐Based Causality‐Preserving Neural Network for Dementia Recognition30
Echocardiography image segmentation using semi‐automatic numerical optimisation method based on wavelet decomposition thresholding29
Multi‐scale decomposition‐based CT‐MR neurological image fusion using optimized bio‐inspired spiking neural model with meta‐heuristic optimization29
Convolutional capsule network for COVID‐19 detection using radiography images29
Hybrid time‐reassigned multisynchrosqueezing transform‐Picard‐based automated electroencephalography artifact correction methodology for brain–computer interface applications28
Design of rectangular coaxial slot antenna for ultra‐high‐field magnetic resonance imaging27
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Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning23
Brain tumor image segmentation based on prior knowledge via transformer22
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model22
A dual channel and spatial attention network for automatic spine segmentation of MRI images21
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Colour‐based segmentation using FCM and K‐means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure21
CA‐UNet: Convolution and attention fusion for lung nodule segmentation21
GR‐Net: Gated axial attention ResNest network for polyp segmentation20
A lightweight deep learning model for retinal optical coherence tomography image classification20
Issue Information20
Non‐invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics19
Machine learning‐based tri‐stage classification of Alzheimer's progressive neurodegenerative disease usingPCAandmRMRadministered textural, orientational, and spatial features19
Active contour and texture features hybrid model for breast cancer detection from ultrasonic images19
A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema18
Mammographic mass recognition using feature reuse and channel attention mechanism17
Effect of physical exercise and noninvasive brain stimulation on cognition and dementia of elderly people with frailty: A randomized study17
Attention augmented residual autoencoder for efficient polyp segmentation16
Research on the magnetic resonance imaging brain tumor segmentation algorithm based on DO‐UNet16
Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR‐only radiation therapy16
Hybrid‐NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis15
Cover Image14
Edge and anomaly detection of brain magnetic resonance images in a distributed environment14
Issue Information14
An efficient deep learning algorithm for the segmentation of cardiac ventricles14
Computerized diagnosis of knee osteoarthritis from x‐ray images using combined texture features: Data from the osteoarthritis initiative14
Individualized real‐time prediction of working memory performance by classifying electroencephalography signals14
End‐to‐end light‐weighted deep‐learning model for abnormality classification in kidney CT images14
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning14
Multiencoder‐based federated intelligent deep learning model for brain tumor segmentation13
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Automated knee osteoarthritis severity classification using three‐stage preprocessing method andVGG16architecture13
A powerful probabilistic model for noise analysis in medical images13
Issue Information13
Issue Information13
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CasUNeXt: A Cascaded Transformer With Intra‐ and Inter‐Scale Information for Medical Image Segmentation12
A joint segmentation and classification framework for COVID‐19 infection segmentation and detection from chest CT images12
Reduction Accelerated Adaptive Step‐Size FISTA Based Smooth‐Lasso Regularization for Fluorescence Molecular Tomography Reconstruction12
Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images12
A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer12
Multi‐classificationof brain tumor by using deep convolutional neural network model inmagnetic resonance imagingimages12
Cerebral stroke classification based on fusion model of 3D EmbedConvNext and 3D Bi‐LSTM network11
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 amne11
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification11
Issue Information11
Multimodal medical image fusion using L0 gradient smoothing with sparse representation11
MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation10
Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification10
Polyp segmentation network based on lightweight model and reverse attention mechanisms10
Brain tumor detection and patient survival prediction using U‐Net and regression model10
A generalizable approach based on the U‐Net model for automatic intraretinal cyst segmentation in SD‐OCT images10
Deep hybrid model for Mpox disease diagnosis from skin lesion images10
Cover Image10
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection10
Fusing dual‐tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme learning machine classifier10
Denoising of computed tomography using bilateral median based autoencoder network10
MMCAF: A Survival Status Prediction Method Based on Cross‐Attention Fusion of Multimodal Colorectal Cancer Data10
A hybrid deep neural network‐based automated diagnosis system using x‐ray images and clinical findings10
Breast cancer: A hybrid method for feature selection and classification in digital mammography10
Segmentation of brain tumor subregions with depthwise separable dense U‐NET (DSDU‐NET)9
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model9
Rapid head‐pose detection for automated slice prescription of fetal‐brain MRI9
Retinal fundus image registration framework using Bayesian integration and asymmetric Gaussian mixture model9
It is time to make neuroimaging research data beneficial to the participants9
Convolutional Neural Network‐Based CT Image Segmentation of Kidney Tumours9
Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer 9
A lightweight capsule network architecture for detection of COVID‐19 from lung CT scans9
Brain Tumor Segmentation Based on α‐Expansion Graph Cut9
A Deep Learning Method Enables Quantitative and Automatic Measurement of Rat Liver Histology in NAFLD9
Optimal channel and frequency band‐based feature selection for motor imagery electroencephalogram classification8
Morphological Complexity of Intrapapillary Capillary Loops for Predicting the Invasion Depth of Superficial Esophageal Neoplasms Using Narrow‐Band Imaging8
A novel discriminant feature selection–based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction8
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study8
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer8
Intra voxel analysis in magnetic resonance imaging via deep learning8
Instrumentation for TMSEEG Experiment: ArTGen and a Custom EEG Interface8
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A deeply supervised maximum response texton basedSegNetfor simultaneous multi retinal lesion segmentation8
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images8
An ensemble model of convolution and recurrent neural network for skin disease classification8
Efficient spine segmentation network based on multi‐scale feature extraction and multi‐dimensional spatial attention8
A New Herbal Source of Synthesizing Contrast Agents for Magnetic Resonance Imaging8
Real‐time automated segmentation of breast lesions using CNN‐based deep learning paradigm: Investigation on mammogram and ultrasound8
A novel automated depression detection technique using text transcript8
An automatic channel selection method based on the standard deviation of wavelet coefficients for motor imagery based brain–computer interfacing8
DAG‐Net: Dual‐Branch Attention‐Guided Network for Multi‐Scale Information Fusion in Lung Nodule Segmentation7
A Multispectral Blood Smear Background Images Reconstruction for Malaria Unstained Images Normalization7
Improved segmentation of overlapping red blood cells on malaria blood smear images with TransUNet architecture7
Automated measurement of sulcus angle on axial knee magnetic resonance images7
RIBM3DU‐Net: Glioma tumour substructures segmentation in magnetic resonance images using residual‐inception block with modified 3D U‐Net architecture7
Retraction: “Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection”7
Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging7
RETRACTED: Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics7
A machine learning classification approach based glioma brain tumor detection7
SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation7
Correction to ‘ORYX‐MRSI: A fully‐automated open‐source software for proton magnetic resonance spectroscopic imaging data analysis’7
Medical Image Fusion for Multiple Diseases Features Enhancement7
NCA‐based hybrid convolutional neural network model for classification of cervical cancer on gauss‐enhanced pap‐smear images7
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features7
Reconstruction of conductivity distribution with a compound variational strategy in electrical impedance tomography7
Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology6
Accelerated brain tumor dynamic contrast‐enhanced MRI using Adaptive Pharmaco‐Kinetic Model Constrained method6
COVID‐opt‐aiNet: A clinical decision support system for COVID‐19 detection6
Feature selection and classification using bio‐inspired algorithms for the diagnosis of pulmonary emphysema subtypes6
Intervertebral Cervical Disc Intensity (IVCDI) Detection and Classification on MRI Scans Using Deep Learning Methods6
ConvNext Mixer‐Based Encoder Decoder Method for Nuclei Segmentation in Histopathology Images6
SSANet—Novel Residual Network for Computer‐Aided Diagnosis of Pulmonary Nodules in Chest Computed Tomography6
Dermo‐Optimizer: Skin Lesion Classification Using Information‐Theoretic Deep Feature Fusion and Entropy‐Controlled Binary Bat Optimization6
ContourGAN: Auto‐contouring of organs at risk in abdomen computed tomography images using generative adversarial network6
Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba‐Based Network for Registration Performance Enhancement6
RetNet30: A Novel Stacked Convolution Neural Network Model for Automated Retinal Disease Diagnosis6
Cross‐Layer Connection SegFormer Attention U‐Net for Efficient TRUS Image Segmentation6
MacD‐Net: An automatic guided‐ensemble approach for macular pathology detection using optical coherence tomography images6
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI6
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas6
Simulation Design of a Triple Antenna Combination for PETMRI Imaging Compatible With 3, 7, and 11.74 T MRI Scanner6
STU3Net: An Improved U‐Net With Swin Transformer Fusion for Thyroid Nodule Segmentation6
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Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states5
Hybrid classification with meta‐heuristic‐enabled optimal feature selection for thyroid detection5
A joint autoencoder and classifier deep neural network for AD and MCI classification5
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
Shell‐Net: A robust deep neural network for the joint segmentation of retinal fragments5
CFIFusion: Dual‐Branch Complementary Feature Injection Network for Medical Image Fusion5
Efficient feature subset selection and classification using levy flight‐based cuckoo search optimization with parallel support vector machine for the breast cancer data5
Lung lobe segmentation in computed tomography images based on multi‐feature fusion and ensemble learning framework5
An improved framework for polyp image segmentation based on SegNet architecture5
LSS‐net: 3‐dimensional segmentation of the spinal canal for the diagnosis of lumbar spinal stenosis5
Issue Information5
Dynamic weight HiLo attention network for medical image multiple organ segmentation5
Real‐time coloring method of laser surgery video based on generative adversarial network5
LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images5
Cross‐Species Segmentation of Animal Prostate Using a Human Prostate Dataset and Limited Preoperative Animal Images: A Sampled Experiment on Dog Prostate Tissue5
A deep learning approach for classification of COVID and pneumonia using DenseNet‐2015
Development of handheld optical coherence tomography based on commercial intra‐oral scanner shape for extended clinical utility in dentistry5
Diffusion tensor imaging from past to present: A bibliometric analysis with trending topics and global productivity during 1980–20225
Classifications of benign and malignant mammogram images using Gabor‐modified CNN architecture5
Improved sparse representation algorithm for optical coherence tomography images5
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis5
Two‐dimensional medical image segmentation based on U‐shaped structure5
Issue Information5
SOCR‐YOLO: Small Objects Detection Algorithm in Medical Images5
MRCMUCTransNet: Automatic and Accurate 3D Tooth Segmentation Network From Cone‐Beam CT Images5
COVID‐19: A systematic review of prediction and classification techniques5
An encoder–decoder and modified U‐Net network for microwave imaging of stroke4
LMSA‐Net: A lightweight multi‐scale aware network for retinal vessel segmentation4
Registration‐enhanced multiple instance learning for cervical cancer whole slide image classification4
A deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning4
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 im4
A universal medically assisted model for anatomical landmark detection in radioactive images4
Dense and shuffle attention U‐Net for automatic skin lesion segmentation4
Large‐scaled detection of COVID‐19 from X‐ray using transfer learning4
Real‐time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models4
Fusing feature and output space for unsupervised domain adaptation on medical image segmentation4
Lung cancer detection by using probabilistic majority voting and optimization techniques4
An end‐to‐end brain tumor segmentation system using multi‐inception‐UNET4
Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches4
COVID‐19 lung infection segmentation from chest CT images based on CAPA‐ResUNet4
A feasibility study of a portable intraoperative specimen imaging X‐ray system based on carbon nanotube field emitters4
Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography ‐ Neovascular Age related Macular degeneration retinal images using dee4
3D multi‐resolution deep learning model for diagnosis of multiple pathological types on pulmonary nodules4
Lung CT image enhancement based on total variational frame and wavelet transform4
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K‐means clustering4
Alzheimer's detection using various feature extraction approaches using a multimodal multi‐class deep learning model4
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder‐decoder network4
Radiomic feature reliability of amide proton transfer‐weighted MR images acquired with compressed sensing at 3 T4
Predicting lung cancer treatment response from CT images using deep learning4
A combination of multi‐scale and attention based on the U‐shaped network for retinal vessel segmentation4
Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images4
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture4
An automatic gastric polyp detection technique using deep learning4
Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U‐Net model4
Pathological categorization of lung carcinoma from multimodality images using convolutional neural networks4
Improved multiple sclerosis diagnosis with advanced deep learning techniques4
Squeeze and multi‐context attention for polyp segmentation4
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