OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Digital Imaging is 13. 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.)

Article	Citations
Quantitative Evaluation of PACS Query/Retrieve Capabilities	98
Digital Leg Volume Quantification: Precision Assessment of a Novel Workflow Based on Single Capture Three-dimensional Whole-Body Surface Imaging	60
Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets	58
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets	56
Machine Learning in the Differentiation of Soft Tissue Neoplasms: Comparison of Fat-Suppressed T2WI and Apparent Diffusion Coefficient (ADC) Features-Based Models	54
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net	44
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs	39
AI Integration in the Clinical Workflow	38
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information	37
Subject-Specific Automatic Reconstruction of White Matter Tracts	34
A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists’ Perspective	33
Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images	32
DermIA: Machine Learning to Improve Skin Cancer Screening	32
ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System	31
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF	28
NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck	28
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 Augmentation	28
An Interview with the Carequality Imaging Use Case Implementers	28
Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography—a HIMSS-SIIM Enterprise Imaging Community Whitepaper	27
The “P” in HIPAA Stands for Portability	24
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT	24
A Holographic Augmented Reality Interface for Visualizing of MRI Data and Planning of Neurosurgical Procedures	24
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework	24
Ultra-Low-Dose Spectral CT Based on a Multi-level Wavelet Convolutional Neural Network	23

Fragile Watermark in Medical Image Based on Prime Number Distribution Theory	23
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection	23
The Classification Power of Classical and Intra-voxel Incoherent Motion (IVIM) Fitting Models of Diffusion-weighted Magnetic Resonance Images: An Experimental Study	22
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations	22
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts	21
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features	21
Size-Specific Dose Estimates for Thoracic and Abdominal Computed Tomography Examinations at Two Moroccan Hospitals	20
Instagram’s Influence on Radiology Today: Reviewing the Evolving Educational Journey from a Hospital to National Societies	20
Refined Residual Deep Convolutional Network for Skin Lesion Classification	19
Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations	19
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 Algorithm	18
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment	18
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology	18
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography	17
Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound	17
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers	17
Simultaneous Denoising of Dynamic PET Images Based on Deep Image Prior	17
HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR	17
A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees	17
IHE-Based Image Exchange in the Netherlands	16
Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper	16
Anatomic Point–Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs	16
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks	16
Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images	16
Neural Network Detection of Pacemakers for MRI Safety	16
Classification of Mammographic ROI for Microcalcification Detection Using Multifractal Approach	15
Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics	15
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis	15
Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis	14
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray	14
Correction to: Journal of Digital Imaging	14
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes	14
Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma	14
MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging	13
A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results	13
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports	13
New Software for DQE Calculation in Digital Mammography Compliant with IEC 62220–1-2	13
Biomedical Ontologies to Guide AI Development in Radiology	13
A Novel Quantitative Evaluation of Bone Formation After Opening Wedge High Tibial Osteotomy Using Tomosynthesis	13