Journal of Digital Imaging

Papers
(The median citation count of Journal of Digital Imaging is 8. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets124
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net70
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs67
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets50
Subject-Specific Automatic Reconstruction of White Matter Tracts46
A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists’ Perspective35
An Interview with the Carequality Imaging Use Case Implementers35
The “P” in HIPAA Stands for Portability31
ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System31
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT30
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation29
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF28
Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography—a HIMSS-SIIM Enterprise Imaging Community Whitepaper28
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI)28
NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck27
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations26
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts25
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection24
Fragile Watermark in Medical Image Based on Prime Number Distribution Theory24
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features24
Size-Specific Dose Estimates for Thoracic and Abdominal Computed Tomography Examinations at Two Moroccan Hospitals23
Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm23
Refined Residual Deep Convolutional Network for Skin Lesion Classification22
Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper22
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology22
The Classification Power of Classical and Intra-voxel Incoherent Motion (IVIM) Fitting Models of Diffusion-weighted Magnetic Resonance Images: An Experimental Study22
Simultaneous Denoising of Dynamic PET Images Based on Deep Image Prior21
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers20
HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR20
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment20
IHE-Based Image Exchange in the Netherlands20
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography19
Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound19
Neural Network Detection of Pacemakers for MRI Safety18
Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images18
Correction to: Journal of Digital Imaging17
Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics17
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes16
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis16
Classification of Mammographic ROI for Microcalcification Detection Using Multifractal Approach16
Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma15
Biomedical Ontologies to Guide AI Development in Radiology15
A Novel Quantitative Evaluation of Bone Formation After Opening Wedge High Tibial Osteotomy Using Tomosynthesis15
Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis15
Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images15
New Software for DQE Calculation in Digital Mammography Compliant with IEC 62220–1-215
A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results15
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports14
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation14
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives14
Multi-institutional Experience with Patient Image Access Through Electronic Health Record Patient Portals13
Software-Automated Implant Detection for Intraoperative 3D Imaging—First Clinical Evaluation on 214 Data Sets13
An Efficient Hierarchical Optic Disc and Cup Segmentation Network Combined with Multi-task Learning and Adversarial Learning13
Evaluation Challenges for the Application of Extended Reality Devices in Medicine13
Medical Image Sharing in Japan13
How Image Exchange Breaks Down: the Image Library Perspective12
Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review12
Image Exchange: an International Perspective12
Is AI the Ultimate QA?12
An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection11
Pseudo-Label-Assisted Self-Organizing Maps for Brain Tissue Segmentation in Magnetic Resonance Imaging11
FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection11
Mammographic Density Assessment by Artificial Intelligence-Based Computer-Assisted Diagnosis: A Comparison with Automated Volumetric Assessment11
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis11
Initial Experience of 10 Imaging Vendors with the IHE SHARAZONE: a New Multivendor Peer-to-Peer Test Service for DICOM Objects11
“Snap on” or Not? A Validation on the Measurement Tool in a Virtual Reality Application11
Pulmonary Surface Irregularity Score as a New Quantitative CT Marker for Idiopathic Pulmonary Fibrosis—a Pilot Study11
DICODerma: A Practical Approach for Metadata Management of Images in Dermatology11
A Comparison of WebRTC and Conventional Videoconferencing for Synchronized Remote Medical Image Presentation10
Lesion Segmentation in Gastroscopic Images Using Generative Adversarial Networks10
Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies10
Detection of Optic Disc Localization from Retinal Fundus Image Using Optimized Color Space9
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform9
Radiologist Productivity Analytics: Factors Impacting Abdominal Pelvic CT Exam Reporting Times9
Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems9
Collaborative Development of a PACS-Integrated Quality Control Dashboard: a Single Institutional Experience9
Deep Transfer Learning-Based Approach for Glucose Transporter-1 (GLUT1) Expression Assessment9
Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder9
Combined Features in Region of Interest for Brain Tumor Segmentation9
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach9
A New Collaborative Classification Process for Microcalcification Detection Based on Graphs and Knowledge Propagation9
DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications9
Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine9
Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks9
Image Exchange in the Middle East: a Survey8
Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms8
Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons8
Machine vs. Radiologist-Based Translations of RadLex: Implications for Multi-language Report Interoperability8
Recognition and Segmentation of Individual Bone Fragments with a Deep Learning Approach in CT Scans of Complex Intertrochanteric Fractures: A Retrospective Study8
Unmasking Myocardial Dysfunction in Patients Hospitalized for Community-Acquired Pneumonia Using a 4-Chamber 3-Dimensional Volume/Strain Analysis8
BSREM for Brain Metastasis Detection with 18F-FDG-PET/CT in Lung Cancer Patients8
Attachment Type, Thickness, and Volume of the Posterior Meniscofemoral Ligament and Meniscal Pathology8
Diagnostic Accuracy of Caries and Periapical Lesions on a Monitor with and without DICOM-GSDF Calibration Under Different Ambient Light Conditions8
What Influences the Way Radiologists Express Themselves in Their Reports? A Quantitative Assessment Using Natural Language Processing8
Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion8
Lightweight Deep Neural Network for Articulated Joint Detection of Surgical Instrument in Minimally Invasive Surgical Robot8
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