Journal of Digital Imaging

Papers
(The median citation count of Journal of Digital Imaging is 6. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Quantitative Evaluation of PACS Query/Retrieve Capabilities98
Digital Leg Volume Quantification: Precision Assessment of a Novel Workflow Based on Single Capture Three-dimensional Whole-Body Surface Imaging60
Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets58
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets56
Machine Learning in the Differentiation of Soft Tissue Neoplasms: Comparison of Fat-Suppressed T2WI and Apparent Diffusion Coefficient (ADC) Features-Based Models54
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net44
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs39
AI Integration in the Clinical Workflow38
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information37
Subject-Specific Automatic Reconstruction of White Matter Tracts34
A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists’ Perspective33
Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images32
DermIA: Machine Learning to Improve Skin Cancer Screening32
ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System31
An Interview with the Carequality Imaging Use Case Implementers28
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF28
NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck28
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI)28
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation28
Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography—a HIMSS-SIIM Enterprise Imaging Community Whitepaper27
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework24
The “P” in HIPAA Stands for Portability24
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT24
A Holographic Augmented Reality Interface for Visualizing of MRI Data and Planning of Neurosurgical Procedures24
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection23
Ultra-Low-Dose Spectral CT Based on a Multi-level Wavelet Convolutional Neural Network23
Fragile Watermark in Medical Image Based on Prime Number Distribution Theory23
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations22
The Classification Power of Classical and Intra-voxel Incoherent Motion (IVIM) Fitting Models of Diffusion-weighted Magnetic Resonance Images: An Experimental Study22
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts21
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features21
Size-Specific Dose Estimates for Thoracic and Abdominal Computed Tomography Examinations at Two Moroccan Hospitals20
Instagram’s Influence on Radiology Today: Reviewing the Evolving Educational Journey from a Hospital to National Societies20
Refined Residual Deep Convolutional Network for Skin Lesion Classification19
Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations19
Radiology Dictation Errors with COVID-19 Protective Equipment: Does Wearing a Surgical Mask Increase the Dictation Error Rate?18
Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm18
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment18
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology18
HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR17
A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees17
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography17
Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound17
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers17
Simultaneous Denoising of Dynamic PET Images Based on Deep Image Prior17
Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images16
Neural Network Detection of Pacemakers for MRI Safety16
IHE-Based Image Exchange in the Netherlands16
Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper16
Anatomic Point–Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs16
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks16
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis15
Classification of Mammographic ROI for Microcalcification Detection Using Multifractal Approach15
Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics15
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes14
Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma14
Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis14
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray14
Correction to: Journal of Digital Imaging14
A Novel Quantitative Evaluation of Bone Formation After Opening Wedge High Tibial Osteotomy Using Tomosynthesis13
MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging13
A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results13
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports13
New Software for DQE Calculation in Digital Mammography Compliant with IEC 62220–1-213
Biomedical Ontologies to Guide AI Development in Radiology13
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives12
Software-Automated Implant Detection for Intraoperative 3D Imaging—First Clinical Evaluation on 214 Data Sets12
Multi-institutional Experience with Patient Image Access Through Electronic Health Record Patient Portals12
Evaluation Challenges for the Application of Extended Reality Devices in Medicine12
Bayesian Framework-Based Adaptive Hybrid Filtering for Speckle Noise Reduction in Ultrasound Images Via Lion Plus FireFly Algorithm12
Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images12
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation12
Is AI the Ultimate QA?12
Medical Image Sharing in Japan11
Improving the Subtype Classification of Non-small Cell Lung Cancer by Elastic Deformation Based Machine Learning11
Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review11
An Efficient Hierarchical Optic Disc and Cup Segmentation Network Combined with Multi-task Learning and Adversarial Learning11
Image Exchange: an International Perspective10
Mammographic Density Assessment by Artificial Intelligence-Based Computer-Assisted Diagnosis: A Comparison with Automated Volumetric Assessment10
Pulmonary Surface Irregularity Score as a New Quantitative CT Marker for Idiopathic Pulmonary Fibrosis—a Pilot Study10
An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection10
How Image Exchange Breaks Down: the Image Library Perspective10
FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection10
Pseudo-Label-Assisted Self-Organizing Maps for Brain Tissue Segmentation in Magnetic Resonance Imaging10
DICODerma: A Practical Approach for Metadata Management of Images in Dermatology10
Initial Experience of 10 Imaging Vendors with the IHE SHARAZONE: a New Multivendor Peer-to-Peer Test Service for DICOM Objects10
“Snap on” or Not? A Validation on the Measurement Tool in a Virtual Reality Application10
Evaluation of Surgical Improvement of Clinical Knowledge Ops (SICKO), an Interactive Training Platform9
Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies9
Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow9
Artificial Intelligence–Assisted Early Detection of Retinitis Pigmentosa — the Most Common Inherited Retinal Degeneration9
Lesion Segmentation in Gastroscopic Images Using Generative Adversarial Networks9
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis9
Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper9
Collaborative Development of a PACS-Integrated Quality Control Dashboard: a Single Institutional Experience8
A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation8
A Comparison of WebRTC and Conventional Videoconferencing for Synchronized Remote Medical Image Presentation8
Visible Body Human Anatomy Atlas: Innovative Anatomy Learning8
Prediction of Radiation-Related Dental Caries Through PyRadiomics Features and Artificial Neural Network on Panoramic Radiography8
Deep Learning Improves the Temporal Reproducibility of Aortic Measurement8
The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications8
The Composite Severity Score for Lumbar Spine MRI: a Metric of Cumulative Degenerative Disease Predicts Time Spent on Interpretation and Reporting7
DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications7
Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder7
Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine7
Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks7
BSREM for Brain Metastasis Detection with 18F-FDG-PET/CT in Lung Cancer Patients7
Detection of Optic Disc Localization from Retinal Fundus Image Using Optimized Color Space7
Research Goal-Driven Data Model and Harmonization for De-Identifying Patient Data in Radiomics7
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform7
3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices7
Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning7
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach7
Comparative Utility of Transient and 2D Shear Wave Elastography for the Assessment of Liver Fibrosis in Clinical Practice7
Deep Transfer Learning-Based Approach for Glucose Transporter-1 (GLUT1) Expression Assessment7
Radiologist Productivity Analytics: Factors Impacting Abdominal Pelvic CT Exam Reporting Times7
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images7
Combined Features in Region of Interest for Brain Tumor Segmentation7
Quantitative Three-Dimensional Assessment of the Pharmacokinetic Parameters of Intra- and Peri-tumoural Tissues on Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging6
Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model6
Machine vs. Radiologist-Based Translations of RadLex: Implications for Multi-language Report Interoperability6
A Coarse-to-Fine Framework for Automated Knee Bone and Cartilage Segmentation Data from the Osteoarthritis Initiative6
Design and Development of a Medical Image Databank for Assisting Studies in Radiomics6
Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons6
Diagnostic Accuracy of Caries and Periapical Lesions on a Monitor with and without DICOM-GSDF Calibration Under Different Ambient Light Conditions6
Multi-level Kronecker Convolutional Neural Network (ML-KCNN) for Glioma Segmentation from Multi-modal MRI Volumetric Data6
Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems6
Attachment Type, Thickness, and Volume of the Posterior Meniscofemoral Ligament and Meniscal Pathology6
What Influences the Way Radiologists Express Themselves in Their Reports? A Quantitative Assessment Using Natural Language Processing6
Recognition and Segmentation of Individual Bone Fragments with a Deep Learning Approach in CT Scans of Complex Intertrochanteric Fractures: A Retrospective Study6
Comparison of Transfer Learning Models in Pelvic Tilt and Rotation Measurement in Pediatric Anteroposterior Pelvic Radiographs6
Image Exchange in the Middle East: a Survey6
Lightweight Deep Neural Network for Articulated Joint Detection of Surgical Instrument in Minimally Invasive Surgical Robot6
Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network–Corrected Labeling in Magnetic Resonance Imaging–Derived Proton Density Fat Fraction6
Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion6
Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms6
Unmasking Myocardial Dysfunction in Patients Hospitalized for Community-Acquired Pneumonia Using a 4-Chamber 3-Dimensional Volume/Strain Analysis6
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