OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Digital Imaging is 14. 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.)

Article	Citations
Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets	124
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net	70
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs	67
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets	50
Subject-Specific Automatic Reconstruction of White Matter Tracts	46
An Interview with the Carequality Imaging Use Case Implementers	35
A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists’ Perspective	35
The “P” in HIPAA Stands for Portability	31
ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System	31
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT	30
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation	29
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI)	28
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF	28
Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography—a HIMSS-SIIM Enterprise Imaging Community Whitepaper	28
NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck	27
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations	26
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts	25
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features	24
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection	24
Fragile Watermark in Medical Image Based on Prime Number Distribution Theory	24
Size-Specific Dose Estimates for Thoracic and Abdominal Computed Tomography Examinations at Two Moroccan Hospitals	23
Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm	23
Refined Residual Deep Convolutional Network for Skin Lesion Classification	22
Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper	22
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology	22

The Classification Power of Classical and Intra-voxel Incoherent Motion (IVIM) Fitting Models of Diffusion-weighted Magnetic Resonance Images: An Experimental Study	22
Simultaneous Denoising of Dynamic PET Images Based on Deep Image Prior	21
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers	20
HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR	20
Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment	20
IHE-Based Image Exchange in the Netherlands	20
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography	19
Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound	19
Neural Network Detection of Pacemakers for MRI Safety	18
Application of a Modified Combinational Approach to Brain Tumor Detection in MR Images	18
Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics	17
Correction to: Journal of Digital Imaging	17
Classification of Mammographic ROI for Microcalcification Detection Using Multifractal Approach	16
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes	16
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis	16
New Software for DQE Calculation in Digital Mammography Compliant with IEC 62220–1-2	15
A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results	15
Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma	15
Biomedical Ontologies to Guide AI Development in Radiology	15
A Novel Quantitative Evaluation of Bone Formation After Opening Wedge High Tibial Osteotomy Using Tomosynthesis	15
Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis	15
Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images	15
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives	14
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports	14
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation	14