Journal of Digital Imaging

Papers
(The TQCC of Journal of Digital Imaging is 12. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Quantitative Evaluation of PACS Query/Retrieve Capabilities109
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net64
Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets63
Machine Learning in the Differentiation of Soft Tissue Neoplasms: Comparison of Fat-Suppressed T2WI and Apparent Diffusion Coefficient (ADC) Features-Based Models59
AI Integration in the Clinical Workflow43
Digital Leg Volume Quantification: Precision Assessment of a Novel Workflow Based on Single Capture Three-dimensional Whole-Body Surface Imaging41
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs38
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets36
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information36
DermIA: Machine Learning to Improve Skin Cancer Screening32
A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists’ Perspective32
Subject-Specific Automatic Reconstruction of White Matter Tracts30
ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System29
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation26
An Interview with the Carequality Imaging Use Case Implementers26
The “P” in HIPAA Stands for Portability25
NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck25
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF24
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI)24
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT24
Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography—a HIMSS-SIIM Enterprise Imaging Community Whitepaper24
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection22
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations22
Ultra-Low-Dose Spectral CT Based on a Multi-level Wavelet Convolutional Neural Network22
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
Refined Residual Deep Convolutional Network for Skin Lesion Classification20
Size-Specific Dose Estimates for Thoracic and Abdominal Computed Tomography Examinations at Two Moroccan Hospitals20
Fragile Watermark in Medical Image Based on Prime Number Distribution Theory19
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features19
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology19
HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR18
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography18
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers18
Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper18
Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm18
Radiology Dictation Errors with COVID-19 Protective Equipment: Does Wearing a Surgical Mask Increase the Dictation Error Rate?18
Simultaneous Denoising of Dynamic PET Images Based on Deep Image Prior17
IHE-Based Image Exchange in the Netherlands17
Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound17
Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images16
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment16
Neural Network Detection of Pacemakers for MRI Safety15
Correction to: Journal of Digital Imaging14
Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis14
Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics14
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes14
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray14
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis13
A Novel Quantitative Evaluation of Bone Formation After Opening Wedge High Tibial Osteotomy Using Tomosynthesis13
Classification of Mammographic ROI for Microcalcification Detection Using Multifractal Approach13
New Software for DQE Calculation in Digital Mammography Compliant with IEC 62220–1-213
Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma13
Multi-institutional Experience with Patient Image Access Through Electronic Health Record Patient Portals12
Evaluation Challenges for the Application of Extended Reality Devices in Medicine12
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
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports12
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives12
MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging12
A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results12
Biomedical Ontologies to Guide AI Development in Radiology12
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