Journal of Digital Imaging

Papers
(The median citation count of Journal of Digital Imaging is 5. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation72
Fetal Ultrasound Image Segmentation for Automatic Head Circumference Biometry Using Deeply Supervised Attention-Gated V-Net59
A Hybrid Algorithm to Enhance Colour Retinal Fundus Images Using a Wiener Filter and CLAHE58
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information51
Refined Residual Deep Convolutional Network for Skin Lesion Classification48
Unsupervised Deep Anomaly Detection in Chest Radiographs47
Deep Learning–Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model47
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography42
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks41
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework33
Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging32
Effects of Interobserver Variability on 2D and 3D CT- and MRI-Based Texture Feature Reproducibility of Cartilaginous Bone Tumors30
Evaluation Challenges for the Application of Extended Reality Devices in Medicine30
Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods29
Rapid Assessment of Acute Ischemic Stroke by Computed Tomography Using Deep Convolutional Neural Networks29
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs29
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization27
Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images26
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray25
The Effects of Perinodular Features on Solid Lung Nodule Classification24
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms24
RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network23
Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification22
AI Integration in the Clinical Workflow22
Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning22
Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons21
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features21
Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow20
An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT20
Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism19
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform19
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models’ Performance and Robustness19
Artificial Intelligence–Assisted Early Detection of Retinitis Pigmentosa — the Most Common Inherited Retinal Degeneration18
Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning18
CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study18
Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach18
Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio18
Vascular 3D Printing with a Novel Biological Tissue Mimicking Resin for Patient-Specific Procedure Simulations in Interventional Radiology: a Feasibility Study18
A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography17
Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder17
Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma17
Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging16
Generation of Brain Dual-Energy CT from Single-Energy CT Using Deep Learning15
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF15
Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach15
Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes15
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI)15
On the Use of Virtual Reality for Medical Imaging Visualization15
Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion15
A Holographic Augmented Reality Interface for Visualizing of MRI Data and Planning of Neurosurgical Procedures15
HER2 Molecular Marker Scoring Using Transfer Learning and Decision Level Fusion14
The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper14
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers14
Prediction of Radiation-Related Dental Caries Through PyRadiomics Features and Artificial Neural Network on Panoramic Radiography14
Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis14
End-To-End Computerized Diagnosis of Spondylolisthesis Using Only Lumbar X-rays14
Melanoma Detection Using Spatial and Spectral Analysis on Superpixel Graphs14
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports13
Augmenting Transfer Learning with Feature Extraction Techniques for Limited Breast Imaging Datasets13
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives13
Evolutionary Deep Attention Convolutional Neural Networks for 2D and 3D Medical Image Segmentation13
A Multilevel Transfer Learning Technique and LSTM Framework for Generating Medical Captions for Limited CT and DBT Images13
Differentiate Thyroid Follicular Adenoma from Carcinoma with Combined Ultrasound Radiomics Features and Clinical Ultrasound Features13
Color Rendering in Medical Extended-Reality Applications13
The Radiology Virtual Reading Room: During and Beyond the COVID-19 Pandemic13
Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper12
Auxiliary Diagnosis for COVID-19 with Deep Transfer Learning12
Improving the Subtype Classification of Non-small Cell Lung Cancer by Elastic Deformation Based Machine Learning12
The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications12
Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model12
Mammographic Density Assessment by Artificial Intelligence-Based Computer-Assisted Diagnosis: A Comparison with Automated Volumetric Assessment12
Multimodal Medical Image Fusion Using Stacked Auto-encoder in NSCT Domain12
The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer12
Instagram’s Influence on Radiology Today: Reviewing the Evolving Educational Journey from a Hospital to National Societies12
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT12
An Intuitionistic Fuzzy Clustering Approach for Detection of Abnormal Regions in Mammogram Images12
Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports11
Performance Improvement in Brain Tumor Detection in MRI Images Using a Combination of Evolutionary Algorithms and Active Contour Method11
Classification of Ear Imagery Database using Bayesian Optimization based on CNN-LSTM Architecture11
Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning11
MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging11
Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training11
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 Limit11
Clinical Application of Chest Computed Tomography (CT) in Detection and Characterization of Coronavirus (Covid-19) Pneumonia in Adults11
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
Deep Reinforcement Learning with Automated Label Extraction from Clinical Reports Accurately Classifies 3D MRI Brain Volumes10
Size-Specific Dose Estimates for Thoracic and Abdominal Computed Tomography Examinations at Two Moroccan Hospitals10
Wearable Mixed-Reality Holographic Navigation Guiding the Management of Penetrating Intracranial Injury Caused by a Nail10
DeepCAT: Deep Computer-Aided Triage of Screening Mammography9
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets9
Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations9
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images9
Visible Body Human Anatomy Atlas: Innovative Anatomy Learning9
Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome9
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology9
Machine Learning–Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features9
Supporting Virtual Dermatology Consultation in the Setting of COVID-199
Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis9
Deep Learning: a Promising Method for Histological Class Prediction of Breast Tumors in Mammography9
Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism8
Combined Features in Region of Interest for Brain Tumor Segmentation8
Detection of Optic Disc Localization from Retinal Fundus Image Using Optimized Color Space8
Artificial Intelligence System for Automatic Quantitative Analysis and Radiology Reporting of Leg Length Radiographs8
Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography—a HIMSS-SIIM Enterprise Imaging Community Whitepaper8
Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics8
Skin Lesion Area Segmentation Using Attention Squeeze U-Net for Embedded Devices8
Deep CTS: a Deep Neural Network for Identification MRI of Carpal Tunnel Syndrome8
Surgical Navigation System for Hypertensive Intracerebral Hemorrhage Based on Mixed Reality8
The Time Has Come: a Paradigm Shift in Diagnostic Radiology Education via Simulation Training8
Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography7
Gamification in Radiology Training Module Developed During the Society for Imaging Informatics in Medicine Annual Meeting Hackathon7
Automatic CT Angiography Lesion Segmentation Compared to CT Perfusion in Ischemic Stroke Detection: a Feasibility Study7
Comparative Utility of Transient and 2D Shear Wave Elastography for the Assessment of Liver Fibrosis in Clinical Practice7
Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies7
A Dedicated Tool for Presurgical Mapping of Brain Tumors and Mixed-Reality Navigation During Neurosurgery7
Robustifying Deep Networks for Medical Image Segmentation7
Simultaneous Denoising of Dynamic PET Images Based on Deep Image Prior7
BSREM for Brain Metastasis Detection with 18F-FDG-PET/CT in Lung Cancer Patients7
NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck7
DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications7
Developing a Training Web Application for Improving the COVID-19 Diagnostic Accuracy on Chest X-ray7
Radiology Reporting in the Era of Patient-Centered Care: How Can We Improve Readability?7
Image-Enabling the Patient Portal of an Electronic Health Record7
A Coarse-to-Fine Framework for Automated Knee Bone and Cartilage Segmentation Data from the Osteoarthritis Initiative7
Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine7
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use7
COVID-19 CT Scan Lung Segmentation: How We Do It7
Intelligent Evaluation of Global Spinal Alignment by a Decentralized Convolutional Neural Network7
Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper7
Software-Based Method for Automated Segmentation and Measurement of Wounds on Photographs Using Mask R-CNN: a Validation Study6
Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach6
A Qualitative Analysis of the Needs and Experiences of Hospital-based Clinicians when Accessing Medical Imaging6
Measurement Challenges for Medical Image Display Devices6
Classification of Glaucoma Stages Using Image Empirical Mode Decomposition from Fundus Images6
Identifying Areas for Operational Improvement and Growth in IR Workflow Using Workflow Modeling, Simulation, and Optimization Techniques6
Disaster Planning During SARS-CoV-2/COVID: One Radiology Informatics Team’s Story6
Generalized Radiographic View Identification with Deep Learning6
A Detailed Systematic Review on Retinal Image Segmentation Methods6
The New Normal: Coronavirus Pandemic Response Utilizing Microsoft SharePoint6
Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets6
Hybrid Convolution Neural Network in Classification of Cancer in Histopathology Images6
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis6
Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data6
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation6
Automatic Segmentation and Measurement of Choroid Layer in High Myopia for OCT Imaging Using Deep Learning6
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs5
R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks5
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net5
Mask-Guided Convolutional Neural Network for Breast Tumor Prognostic Outcome Prediction on 3D DCE-MR Images5
Hardware Failure Prediction on Imbalanced Times Series Data5
Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization5
A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees5
Multi-institutional Experience with Patient Image Access Through Electronic Health Record Patient Portals5
Automated Protocoling for MRI Exams—Challenges and Solutions5
Initial Experience with a COVID-19 Screening Chatbot Before Radiology Appointments5
Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images5
On the Road to Digital Pathology in Denmark—National Survey and Interviews5
Machine Learning in the Differentiation of Soft Tissue Neoplasms: Comparison of Fat-Suppressed T2WI and Apparent Diffusion Coefficient (ADC) Features-Based Models5
RAD-UNet: a Residual, Attention-Based, Dense UNet for CT Sparse Reconstruction5
Optimized Tractography Mapping and Quantitative Evaluation of Pyramidal Tracts for Surgical Resection of Insular Gliomas: a Correlative Study with Diffusion Tensor Imaging–Derived Metrics and Patient 5
Iodine Images in Dual-energy CT: Detection of Hepatic Steatosis by Quantitative Iodine Concentration Values5
AnatomySketch: An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development5
3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices5
The Improvement of Patient Centering in Computed Tomography Through a Technologist-Focused Education Initiative5
Biomedical Ontologies to Guide AI Development in Radiology5
MNI SISCOM: an Open-Source Tool for Computing Subtraction Ictal Single-Photon Emission CT Coregistered to MRI5
Deep Learning Improves the Temporal Reproducibility of Aortic Measurement5
Recognition and Segmentation of Individual Bone Fragments with a Deep Learning Approach in CT Scans of Complex Intertrochanteric Fractures: A Retrospective Study5
Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance5
Lightweight Deep Neural Network for Articulated Joint Detection of Surgical Instrument in Minimally Invasive Surgical Robot5
Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric Analyses5
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