Journal of Digital Imaging

Papers
(The median citation count of Journal of Digital Imaging is 9. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs134
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets72
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net69
A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists’ Perspective52
Subject-Specific Automatic Reconstruction of White Matter Tracts51
An Interview with the Carequality Imaging Use Case Implementers38
The “P” in HIPAA Stands for Portability32
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation32
Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography—a HIMSS-SIIM Enterprise Imaging Community Whitepaper32
NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck31
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI)31
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF31
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT29
ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System28
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection26
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations26
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features25
The Classification Power of Classical and Intra-voxel Incoherent Motion (IVIM) Fitting Models of Diffusion-weighted Magnetic Resonance Images: An Experimental Study25
Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm24
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts24
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology24
Size-Specific Dose Estimates for Thoracic and Abdominal Computed Tomography Examinations at Two Moroccan Hospitals23
Simultaneous Denoising of Dynamic PET Images Based on Deep Image Prior23
Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper23
Refined Residual Deep Convolutional Network for Skin Lesion Classification23
Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound22
IHE-Based Image Exchange in the Netherlands22
HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR22
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography21
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment21
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers20
Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images20
Neural Network Detection of Pacemakers for MRI Safety19
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes19
Correction to: Journal of Digital Imaging19
Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis18
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis18
Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma17
Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics17
A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results16
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports16
Classification of Mammographic ROI for Microcalcification Detection Using Multifractal Approach16
Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images16
Evaluation Challenges for the Application of Extended Reality Devices in Medicine16
A Novel Quantitative Evaluation of Bone Formation After Opening Wedge High Tibial Osteotomy Using Tomosynthesis16
New Software for DQE Calculation in Digital Mammography Compliant with IEC 62220–1-216
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation16
Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review15
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives15
Medical Image Sharing in Japan15
Software-Automated Implant Detection for Intraoperative 3D Imaging—First Clinical Evaluation on 214 Data Sets15
Multi-institutional Experience with Patient Image Access Through Electronic Health Record Patient Portals14
Is AI the Ultimate QA?14
An Efficient Hierarchical Optic Disc and Cup Segmentation Network Combined with Multi-task Learning and Adversarial Learning14
How Image Exchange Breaks Down: the Image Library Perspective13
Image Exchange: an International Perspective13
Mammographic Density Assessment by Artificial Intelligence-Based Computer-Assisted Diagnosis: A Comparison with Automated Volumetric Assessment12
DICODerma: A Practical Approach for Metadata Management of Images in Dermatology12
FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection12
An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection12
Initial Experience of 10 Imaging Vendors with the IHE SHARAZONE: a New Multivendor Peer-to-Peer Test Service for DICOM Objects12
Pulmonary Surface Irregularity Score as a New Quantitative CT Marker for Idiopathic Pulmonary Fibrosis—a Pilot Study11
Lesion Segmentation in Gastroscopic Images Using Generative Adversarial Networks11
Deep Transfer Learning-Based Approach for Glucose Transporter-1 (GLUT1) Expression Assessment11
“Snap on” or Not? A Validation on the Measurement Tool in a Virtual Reality Application11
Pseudo-Label-Assisted Self-Organizing Maps for Brain Tissue Segmentation in Magnetic Resonance Imaging11
Collaborative Development of a PACS-Integrated Quality Control Dashboard: a Single Institutional Experience11
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis11
Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies11
Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine10
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform10
Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder10
Detection of Optic Disc Localization from Retinal Fundus Image Using Optimized Color Space10
Radiologist Productivity Analytics: Factors Impacting Abdominal Pelvic CT Exam Reporting Times10
A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation10
Machine vs. Radiologist-Based Translations of RadLex: Implications for Multi-language Report Interoperability9
Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion9
Attachment Type, Thickness, and Volume of the Posterior Meniscofemoral Ligament and Meniscal Pathology9
What Influences the Way Radiologists Express Themselves in Their Reports? A Quantitative Assessment Using Natural Language Processing9
Unmasking Myocardial Dysfunction in Patients Hospitalized for Community-Acquired Pneumonia Using a 4-Chamber 3-Dimensional Volume/Strain Analysis9
Combined Features in Region of Interest for Brain Tumor Segmentation9
Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks9
Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems9
Recognition and Segmentation of Individual Bone Fragments with a Deep Learning Approach in CT Scans of Complex Intertrochanteric Fractures: A Retrospective Study9
Diagnostic Accuracy of Caries and Periapical Lesions on a Monitor with and without DICOM-GSDF Calibration Under Different Ambient Light Conditions9
Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms9
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach9
BSREM for Brain Metastasis Detection with 18F-FDG-PET/CT in Lung Cancer Patients9
Lightweight Deep Neural Network for Articulated Joint Detection of Surgical Instrument in Minimally Invasive Surgical Robot9
Image Exchange in the Middle East: a Survey9
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