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 2021-02-01 to 2025-02-01.)
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 images58
CAB‐Net: Convolutional attention BLSTM network for enhanced leukocyte classification57
Range and variability of CBF in young adults: PC‐MRI and ASL studies53
Assessment of magnetic resonance imaging and histopathological changes in chordoid glioma: A retrospective analysis of 13 cases48
TACT: Text attention based CNN‐Transformer network for polyp segmentation43
Distributional stochastic Planner‐Actor‐Critic for deformable image registration41
Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi‐channel feature extraction and selection41
Deriving and interpreting robust features for survival prediction of brain tumor patients37
Combining PropSeg and a convolutional neural network for automatic spinal cord segmentation in pediatric populations and patients with spinal cord injury36
Resolution improvement using enriched Krylov subspace for microwave tomography breast imaging system36
CSDL‐Net: An iterative network based on compressed sensing and deep learning36
A computed tomography signs quantization analysis method for pulmonary nodules malignancy grading36
Issue Information35
A precise and timely graph‐based approach to identify SARS Covid19 infection from medical imaging data using IsoCovNet34
A novel adaptive class weight adjustment‐based multiclass segmentation error minimization technique for COVID‐19 X‐ray image analysis32
Multi‐scale decomposition‐based CT‐MR neurological image fusion using optimized bio‐inspired spiking neural model with meta‐heuristic optimization30
Convolutional capsule network for COVID‐19 detection using radiography images30
Echocardiography image segmentation using semi‐automatic numerical optimisation method based on wavelet decomposition thresholding30
Hybrid time‐reassigned multisynchrosqueezing transform‐Picard‐based automated electroencephalography artifact correction methodology for brain–computer interface applications29
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Design of rectangular coaxial slot antenna for ultra‐high‐field magnetic resonance imaging29
Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning28
Brain tumor image segmentation based on prior knowledge via transformer27
Colour‐based segmentation using FCM and K‐means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure26
A dual channel and spatial attention network for automatic spine segmentation of MRI images26
GR‐Net: Gated axial attention ResNest network for polyp segmentation23
Issue Information22
A lightweight deep learning model for retinal optical coherence tomography image classification22
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
Active contour and texture features hybrid model for breast cancer detection from ultrasonic images21
Attention augmented residual autoencoder for efficient polyp segmentation20
Research on the magnetic resonance imaging brain tumor segmentation algorithm based on DO‐UNet20
Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR‐only radiation therapy20
Hybrid‐NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis19
Cover Image19
Individualized real‐time prediction of working memory performance by classifying electroencephalography signals19
Issue Information18
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning18
Computerized diagnosis of knee osteoarthritis from x‐ray images using combined texture features: Data from the osteoarthritis initiative17
End‐to‐end light‐weighted deep‐learning model for abnormality classification in kidney CT images17
Edge and anomaly detection of brain magnetic resonance images in a distributed environment17
Automated knee osteoarthritis severity classification using three‐stage preprocessing method andVGG16architecture16
Issue Information16
Multiencoder‐based federated intelligent deep learning model for brain tumor segmentation16
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Issue Information15
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Multi‐classificationof brain tumor by using deep convolutional neural network model inmagnetic resonance imagingimages14
A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer14
A powerful probabilistic model for noise analysis in medical images14
Reduction Accelerated Adaptive Step‐Size FISTA Based Smooth‐Lasso Regularization for Fluorescence Molecular Tomography Reconstruction14
Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images14
A joint segmentation and classification framework for COVID‐19 infection segmentation and detection from chest CT images14
CasUNeXt: A Cascaded Transformer With Intra‐ and Inter‐Scale Information for Medical Image Segmentation14
A generalizable approach based on the U‐Net model for automatic intraretinal cyst segmentation in SD‐OCT images13
Cerebral stroke classification based on fusion model of 3D EmbedConvNext and 3D Bi‐LSTM network13
Multimodal medical image fusion using L0 gradient smoothing with sparse representation13
Issue Information13
Denoising of computed tomography using bilateral median based autoencoder network13
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 amne13
Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification13
MR‐UNet: An UNet model using multi‐scale and residual convolutions for retinal vessel segmentation12
Cover Image12
Deep hybrid model for Mpox disease diagnosis from skin lesion images12
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CA‐UNet: Convolution and attention fusion for lung nodule segmentation12
An efficient deep learning algorithm for the segmentation of cardiac ventricles12
A hybrid deep neural network‐based automated diagnosis system using x‐ray images and clinical findings12
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection11
Polyp segmentation network based on lightweight model and reverse attention mechanisms11
Brain tumor detection and patient survival prediction using U‐Net and regression model11
A lightweight capsule network architecture for detection of COVID‐19 from lung CT scans11
Breast cancer: A hybrid method for feature selection and classification in digital mammography11
Fusing dual‐tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme learning machine classifier11
Brain Tumor Segmentation Based on α‐Expansion Graph Cut10
It is time to make neuroimaging research data beneficial to the participants10
Morphological Complexity of Intrapapillary Capillary Loops for Predicting the Invasion Depth of Superficial Esophageal Neoplasms Using Narrow‐Band Imaging10
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model10
Convolutional Neural Network‐Based CT Image Segmentation of Kidney Tumours10
Instrumentation for TMSEEG Experiment: ArTGen and a Custom EEG Interface10
Rapid head‐pose detection for automated slice prescription of fetal‐brain MRI10
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Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer 10
Segmentation of brain tumor subregions with depthwise separable dense U‐NET (DSDU‐NET)10
A New Herbal Source of Synthesizing Contrast Agents for Magnetic Resonance Imaging10
Retinal fundus image registration framework using Bayesian integration and asymmetric Gaussian mixture model10
A Deep Learning Method Enables Quantitative and Automatic Measurement of Rat Liver Histology in NAFLD10
A deeply supervised maximum response texton basedSegNetfor simultaneous multi retinal lesion segmentation9
Efficient spine segmentation network based on multi‐scale feature extraction and multi‐dimensional spatial attention9
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study9
Real‐time automated segmentation of breast lesions using CNN‐based deep learning paradigm: Investigation on mammogram and ultrasound9
A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema9
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images9
An automatic channel selection method based on the standard deviation of wavelet coefficients for motor imagery based brain–computer interfacing9
A novel discriminant feature selection–based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction9
A novel automated depression detection technique using text transcript9
Few‐shot segmentation for esophageal OCT images based on self‐supervised vision transformer9
Correction to ‘ORYX‐MRSI: A fully‐automated open‐source software for proton magnetic resonance spectroscopic imaging data analysis’8
A Multispectral Blood Smear Background Images Reconstruction for Malaria Unstained Images Normalization8
Diffusion‐Based Causality‐Preserving Neural Network for Dementia Recognition8
Medical Image Fusion for Multiple Diseases Features Enhancement8
Optimal channel and frequency band‐based feature selection for motor imagery electroencephalogram classification8
NCA‐based hybrid convolutional neural network model for classification of cervical cancer on gauss‐enhanced pap‐smear images8
Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging8
RETRACTED: Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics8
RIBM3DU‐Net: Glioma tumour substructures segmentation in magnetic resonance images using residual‐inception block with modified 3D U‐Net architecture8
An ensemble model of convolution and recurrent neural network for skin disease classification8
Retraction: “Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection”8
Improved segmentation of overlapping red blood cells on malaria blood smear images with TransUNet architecture8
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model8
A machine learning classification approach based glioma brain tumor detection8
DAG‐Net: Dual‐Branch Attention‐Guided Network for Multi‐Scale Information Fusion in Lung Nodule Segmentation8
Intra voxel analysis in magnetic resonance imaging via deep learning8
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features7
COVID‐opt‐aiNet: A clinical decision support system for COVID‐19 detection7
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI7
Dermo‐Optimizer: Skin Lesion Classification Using Information‐Theoretic Deep Feature Fusion and Entropy‐Controlled Binary Bat Optimization7
STU3Net: An Improved U‐Net With Swin Transformer Fusion for Thyroid Nodule Segmentation7
SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation7
ContourGAN: Auto‐contouring of organs at risk in abdomen computed tomography images using generative adversarial network7
Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba‐Based Network for Registration Performance Enhancement7
Intervertebral Cervical Disc Intensity (IVCDI) Detection and Classification on MRI Scans Using Deep Learning Methods7
Feature selection and classification using bio‐inspired algorithms for the diagnosis of pulmonary emphysema subtypes7
Automated measurement of sulcus angle on axial knee magnetic resonance images7
Reconstruction of conductivity distribution with a compound variational strategy in electrical impedance tomography7
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas7
Simulation Design of a Triple Antenna Combination for PETMRI Imaging Compatible With 3, 7, and 11.74 T MRI Scanner7
Cross‐Layer Connection SegFormer Attention U‐Net for Efficient TRUS Image Segmentation7
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A deep learning approach for classification of COVID and pneumonia using DenseNet‐2016
SOCR‐YOLO: Small Objects Detection Algorithm in Medical Images6
Cross‐Species Segmentation of Animal Prostate Using a Human Prostate Dataset and Limited Preoperative Animal Images: A Sampled Experiment on Dog Prostate Tissue6
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‐19: A systematic review of prediction and classification techniques6
Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states6
CFIFusion: Dual‐Branch Complementary Feature Injection Network for Medical Image Fusion6
Efficient feature subset selection and classification using levy flight‐based cuckoo search optimization with parallel support vector machine for the breast cancer data6
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
An improved framework for polyp image segmentation based on SegNet architecture6
Lung lobe segmentation in computed tomography images based on multi‐feature fusion and ensemble learning framework6
Diffusion tensor imaging from past to present: A bibliometric analysis with trending topics and global productivity during 1980–20226
MRCMUCTransNet: Automatic and Accurate 3D Tooth Segmentation Network From Cone‐Beam CT Images6
RetNet30: A Novel Stacked Convolution Neural Network Model for Automated Retinal Disease Diagnosis6
MacD‐Net: An automatic guided‐ensemble approach for macular pathology detection using optical coherence tomography images6
LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images5
Shell‐Net: A robust deep neural network for the joint segmentation of retinal fragments5
Improved sparse representation algorithm for optical coherence tomography images5
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 im5
An encoder–decoder and modified U‐Net network for microwave imaging of stroke5
Dynamic weight HiLo attention network for medical image multiple organ segmentation5
Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images5
A joint autoencoder and classifier deep neural network for AD and MCI classification5
Registration‐enhanced multiple instance learning for cervical cancer whole slide image classification5
Automatic three‐dimensional detection and volume estimation of low‐grade gliomas5
Issue Information5
Stacked deep model‐based classification of the multiclass brain hemorrhages in CT scans5
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis5
Predicting coronary artery disease using learning rate based snow leopard optimization with soft swish scaling based bidirectional long short‐term memory5
Issue Information5
Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches5
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 deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning5
Development of handheld optical coherence tomography based on commercial intra‐oral scanner shape for extended clinical utility in dentistry5
Classifications of benign and malignant mammogram images using Gabor‐modified CNN architecture5
Two‐dimensional medical image segmentation based on U‐shaped structure5
Real‐time coloring method of laser surgery video based on generative adversarial network5
A feasibility study of a portable intraoperative specimen imaging X‐ray system based on carbon nanotube field emitters5
Radiomic feature reliability of amide proton transfer‐weighted MR images acquired with compressed sensing at 3 T5
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture5
A combination of multi‐scale and attention based on the U‐shaped network for retinal vessel segmentation5
LSS‐net: 3‐dimensional segmentation of the spinal canal for the diagnosis of lumbar spinal stenosis5
COVID‐19 lung infection segmentation from chest CT images based on CAPA‐ResUNet5
Hybrid classification with meta‐heuristic‐enabled optimal feature selection for thyroid detection5
A semantic contour based segmentation of lungs from chest x‐rays for the classification of tuberculosis using Naïve Bayes classifier4
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder‐decoder network4
Differentiation of tumoral and non‐tumoral breast lesions using back reflection diffuse optical tomography: A pilot clinical study4
Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI‐RADS 4 lesions4
Identification of rheumatoid arthritis using bone image features with radial basis function neural networks4
Comparative analysis of cone‐beam breast computed tomography and digital breast tomosynthesis for breast cancer diagnosis: A comprehensive study on reconstruction algorithms4
LMSA‐Net: A lightweight multi‐scale aware network for retinal vessel segmentation4
Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U‐Net model4
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K‐means clustering4
Improved multiple sclerosis diagnosis with advanced deep learning techniques4
Fusing feature and output space for unsupervised domain adaptation on medical image segmentation4
Lung CT image enhancement based on total variational frame and wavelet transform4
Research on multi‐center assisted diagnosis of ASD based on multimodal feature fusion4
Patch‐based local deep feature extraction for automated skin cancer classification4
Brain tumor image pixel segmentation and detection using an aggregation of GAN models with vision transformer4
Predicting lung cancer treatment response from CT images using deep learning4
An efficient convolutional histogram‐oriented gradients and deep convolutional learning approach for accurate classification of bone cancer4
Squeeze and multi‐context attention for polyp segmentation4
Lung cancer detection by using probabilistic majority voting and optimization techniques4
Dense and shuffle attention U‐Net for automatic skin lesion segmentation4
A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization4
Real‐time small bowel visualization quality assessment in wireless capsule endoscopy images using different lightweight embeddable models4
An automatic gastric polyp detection technique using deep learning4
A universal medically assisted model for anatomical landmark detection in radioactive images4
BDU‐net: Toward accurate segmentation of dental image using border guidance and feature map distortion4
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation4
Transfer learning networks with skip connections for classification of brain tumors4
SwinRes: A hybrid model that effectively diagnoses COVID‐19 through x‐ray lung images4
An end‐to‐end brain tumor segmentation system using multi‐inception‐UNET4
3D multi‐resolution deep learning model for diagnosis of multiple pathological types on pulmonary nodules4
Large‐scaled detection of COVID‐19 from X‐ray using transfer learning4
Pathological categorization of lung carcinoma from multimodality images using convolutional neural networks4
Alzheimer's detection using various feature extraction approaches using a multimodal multi‐class deep learning model4
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