Journal of Digital Imaging

Papers
(The TQCC of Journal of Digital Imaging is 10. 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
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
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation46
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information45
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics43
Multi-model Ensemble Learning Architecture Based on 3D CNN for Lung Nodule Malignancy Suspiciousness Classification43
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
Deep Learning–Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model34
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks34
State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms30
Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging30
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
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs26
Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis26
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization25
Rapid Assessment of Acute Ischemic Stroke by Computed Tomography Using Deep Convolutional Neural Networks25
Effects of Interobserver Variability on 2D and 3D CT- and MRI-Based Texture Feature Reproducibility of Cartilaginous Bone Tumors25
An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow24
Cybersecurity in PACS and Medical Imaging: an Overview23
Evaluation Challenges for the Application of Extended Reality Devices in Medicine22
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms22
Joint Diabetic Macular Edema Segmentation and Characterization in OCT Images22
RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network20
Ultrasonographic Thyroid Nodule Classification Using a Deep Convolutional Neural Network with Surgical Pathology19
Optical Flow Methods for Lung Nodule Segmentation on LIDC-IDRI Images19
Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning19
Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images19
Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism18
The Effects of Perinodular Features on Solid Lung Nodule Classification18
Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods18
Automatic Segmentation of Meniscus in Multispectral MRI Using Regions with Convolutional Neural Network (R-CNN)17
Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio17
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models’ Performance and Robustness17
Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow17
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features17
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray17
CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study17
Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification16
Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning15
Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network15
An Efficient Content-Based Image Retrieval System for the Diagnosis of Lung Diseases15
Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons14
Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach14
A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography14
An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT14
Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging14
Vascular 3D Printing with a Novel Biological Tissue Mimicking Resin for Patient-Specific Procedure Simulations in Interventional Radiology: a Feasibility Study14
Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach14
On the Use of Virtual Reality for Medical Imaging Visualization14
AI Integration in the Clinical Workflow14
Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes13
Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study13
MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation13
Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder13
A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports13
Jaw and Teeth Segmentation on the Panoramic X-Ray Images for Dental Human Identification13
Instagram’s Influence on Radiology Today: Reviewing the Evolving Educational Journey from a Hospital to National Societies12
A Holographic Augmented Reality Interface for Visualizing of MRI Data and Planning of Neurosurgical Procedures12
CT Image-Based Texture Analysis to Predict Microvascular Invasion in Primary Hepatocellular Carcinoma12
Artificial Intelligence–Assisted Early Detection of Retinitis Pigmentosa — the Most Common Inherited Retinal Degeneration12
Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion12
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform12
Prediction of Radiation-Related Dental Caries Through PyRadiomics Features and Artificial Neural Network on Panoramic Radiography12
Auxiliary Diagnosis for COVID-19 with Deep Transfer Learning12
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF12
An Intuitionistic Fuzzy Clustering Approach for Detection of Abnormal Regions in Mammogram Images12
Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma12
HER2 Molecular Marker Scoring Using Transfer Learning and Decision Level Fusion12
The Radiology Virtual Reading Room: During and Beyond the COVID-19 Pandemic11
The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper11
Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model11
Melanoma Detection Using Spatial and Spectral Analysis on Superpixel Graphs11
Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis11
Color Rendering in Medical Extended-Reality Applications11
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI)11
Is a Picture Really Worth More than a Thousand Words? Which Instagram Post Types Elicit the Best Response for Radiology Education10
Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper10
Augmenting Transfer Learning with Feature Extraction Techniques for Limited Breast Imaging Datasets10
Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports10
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT10
Evaluation of Software-Based Metal Artifact Reduction in Intraoperative 3D Imaging of the Spine Using a Mobile Cone Beam CT10
Simulating Tissues with 3D-Printed and Castable Materials10
The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications10
Measurement of Endotracheal Tube Positioning on Chest X-Ray Using Object Detection10
Multi-level Kronecker Convolutional Neural Network (ML-KCNN) for Glioma Segmentation from Multi-modal MRI Volumetric Data10
A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing10
Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning10
MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging10
Clinical Application of Chest Computed Tomography (CT) in Detection and Characterization of Coronavirus (Covid-19) Pneumonia in Adults10
Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing10
The Invasiveness Classification of Ground-Glass Nodules Using 3D Attention Network and HRCT10
A Cloud-Ready Architecture for Shared Medical Imaging Repository10
Pioneering Remotely Piloted Aerial Systems (Drone) Delivery of a Remotely Telementored Ultrasound Capability for Self Diagnosis and Assessment of Vulnerable Populations—the Sky Is the Limit10
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives10
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