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 2020-11-01 to 2024-11-01.)

Article	Citations
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation	72
Fetal Ultrasound Image Segmentation for Automatic Head Circumference Biometry Using Deeply Supervised Attention-Gated V-Net	59
A Hybrid Algorithm to Enhance Colour Retinal Fundus Images Using a Wiener Filter and CLAHE	58
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information	51
Refined Residual Deep Convolutional Network for Skin Lesion Classification	48
Unsupervised Deep Anomaly Detection in Chest Radiographs	47
Deep Learning–Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model	47
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography	42
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks	41
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework	33
Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging	32
Effects of Interobserver Variability on 2D and 3D CT- and MRI-Based Texture Feature Reproducibility of Cartilaginous Bone Tumors	30
Evaluation Challenges for the Application of Extended Reality Devices in Medicine	30
Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods	29
Rapid Assessment of Acute Ischemic Stroke by Computed Tomography Using Deep Convolutional Neural Networks	29
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs	29
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization	27
Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images	26
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray	25
The Effects of Perinodular Features on Solid Lung Nodule Classification	24
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms	24
RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network	23
Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification	22
AI Integration in the Clinical Workflow	22
Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning	22