Journal of Digital Imaging

Papers
(The TQCC of Journal of Digital Imaging is 11. 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.)
ArticleCitations
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation72
Fetal Ultrasound Image Segmentation for Automatic Head Circumference Biometry Using Deeply Supervised Attention-Gated V-Net59
A Hybrid Algorithm to Enhance Colour Retinal Fundus Images Using a Wiener Filter and CLAHE58
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information51
Refined Residual Deep Convolutional Network for Skin Lesion Classification48
Deep Learning–Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model47
Unsupervised Deep Anomaly Detection in Chest Radiographs47
Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography42
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks41
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework33
Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging32
Evaluation Challenges for the Application of Extended Reality Devices in Medicine30
Effects of Interobserver Variability on 2D and 3D CT- and MRI-Based Texture Feature Reproducibility of Cartilaginous Bone Tumors30
Rapid Assessment of Acute Ischemic Stroke by Computed Tomography Using Deep Convolutional Neural Networks29
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs29
Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods29
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization27
Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images26
External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray25
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms24
The Effects of Perinodular Features on Solid Lung Nodule Classification24
RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network23
AI Integration in the Clinical Workflow22
Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning22
Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification22
Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features21
Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons21
Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow20
An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT20
Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform19
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models’ Performance and Robustness19
Efficient COVID-19 Segmentation from CT Slices Exploiting Semantic Segmentation with Integrated Attention Mechanism19
CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study18
Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach18
Detection and Grading of Hypertensive Retinopathy Using Vessels Tortuosity and Arteriovenous Ratio18
Vascular 3D Printing with a Novel Biological Tissue Mimicking Resin for Patient-Specific Procedure Simulations in Interventional Radiology: a Feasibility Study18
Artificial Intelligence–Assisted Early Detection of Retinitis Pigmentosa — the Most Common Inherited Retinal Degeneration18
Semantic Instance Segmentation of Kidney Cysts in MR Images: A Fully Automated 3D Approach Developed Through Active Learning18
Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder17
Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma17
A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography17
Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging16
Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes15
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI)15
On the Use of Virtual Reality for Medical Imaging Visualization15
Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion15
A Holographic Augmented Reality Interface for Visualizing of MRI Data and Planning of Neurosurgical Procedures15
Generation of Brain Dual-Energy CT from Single-Energy CT Using Deep Learning15
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF15
Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach15
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers14
Prediction of Radiation-Related Dental Caries Through PyRadiomics Features and Artificial Neural Network on Panoramic Radiography14
Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis14
End-To-End Computerized Diagnosis of Spondylolisthesis Using Only Lumbar X-rays14
Melanoma Detection Using Spatial and Spectral Analysis on Superpixel Graphs14
HER2 Molecular Marker Scoring Using Transfer Learning and Decision Level Fusion14
The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper14
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives13
Evolutionary Deep Attention Convolutional Neural Networks for 2D and 3D Medical Image Segmentation13
A Multilevel Transfer Learning Technique and LSTM Framework for Generating Medical Captions for Limited CT and DBT Images13
Differentiate Thyroid Follicular Adenoma from Carcinoma with Combined Ultrasound Radiomics Features and Clinical Ultrasound Features13
Color Rendering in Medical Extended-Reality Applications13
The Radiology Virtual Reading Room: During and Beyond the COVID-19 Pandemic13
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports13
Augmenting Transfer Learning with Feature Extraction Techniques for Limited Breast Imaging Datasets13
Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model12
Mammographic Density Assessment by Artificial Intelligence-Based Computer-Assisted Diagnosis: A Comparison with Automated Volumetric Assessment12
Multimodal Medical Image Fusion Using Stacked Auto-encoder in NSCT Domain12
The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer12
Instagram’s Influence on Radiology Today: Reviewing the Evolving Educational Journey from a Hospital to National Societies12
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT12
An Intuitionistic Fuzzy Clustering Approach for Detection of Abnormal Regions in Mammogram Images12
Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper12
Auxiliary Diagnosis for COVID-19 with Deep Transfer Learning12
Improving the Subtype Classification of Non-small Cell Lung Cancer by Elastic Deformation Based Machine Learning12
The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications12
Classification of Ear Imagery Database using Bayesian Optimization based on CNN-LSTM Architecture11
Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning11
MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging11
Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training11
Pioneering Remotely Piloted Aerial Systems (Drone) Delivery of a Remotely Telementored Ultrasound Capability for Self Diagnosis and Assessment of Vulnerable Populations—the Sky Is the Limit11
Clinical Application of Chest Computed Tomography (CT) in Detection and Characterization of Coronavirus (Covid-19) Pneumonia in Adults11
Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports11
Performance Improvement in Brain Tumor Detection in MRI Images Using a Combination of Evolutionary Algorithms and Active Contour Method11
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