OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Digital Imaging is 22. 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
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
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 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
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
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features	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