Journal of Digital Imaging

Papers
(The H4-Index of Journal of Digital Imaging is 26. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification163
Classification of Skin Lesions into Seven Classes Using Transfer Learning with AlexNet94
Whole Slide Imaging (WSI) in Pathology: Current Perspectives and Future Directions94
Skin Lesion Segmentation with Improved Convolutional Neural Network74
Binary Classification of Alzheimer’s Disease Using sMRI Imaging Modality and Deep Learning64
Fetal Ultrasound Image Segmentation for Automatic Head Circumference Biometry Using Deeply Supervised Attention-Gated V-Net55
A Narrative Review on Clinical Applications of fNIRS52
Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks47
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation46
SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation46
A Hybrid Algorithm to Enhance Colour Retinal Fundus Images Using a Wiener Filter and CLAHE46
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information45
Multi-model Ensemble Learning Architecture Based on 3D CNN for Lung Nodule Malignancy Suspiciousness Classification43
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics43
Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification42
Unsupervised Deep Anomaly Detection in Chest Radiographs39
Diagnostic Efficiency of the Breast Ultrasound Computer-Aided Prediction Model Based on Convolutional Neural Network in Breast Cancer36
Refined Residual Deep Convolutional Network for Skin Lesion Classification35
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study35
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks34
Deep Learning–Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model34
Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging30
State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms30
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework29
Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules29
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography27
Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis26
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs26
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