Journal of Digital Imaging

Papers
(The H4-Index of Journal of Digital Imaging is 23. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information90
Machine Learning in the Differentiation of Soft Tissue Neoplasms: Comparison of Fat-Suppressed T2WI and Apparent Diffusion Coefficient (ADC) Features-Based Models58
Endoscopy Artefact Detection by Deep Transfer Learning of Baseline Models58
Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography Images56
Detection of Glaucoma from Fundus Images Using Novel Evolutionary-Based Deep Neural Network55
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets51
XNAT-PIC: Extending XNAT to Preclinical Imaging Centers43
Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis38
A Comparison of WebRTC and Conventional Videoconferencing for Synchronized Remote Medical Image Presentation37
Evaluation of a 2D UNet-Based Attenuation Correction Methodology for PET/MR Brain Studies36
Mask-Guided Convolutional Neural Network for Breast Tumor Prognostic Outcome Prediction on 3D DCE-MR Images33
Effects of Interobserver Variability on 2D and 3D CT- and MRI-Based Texture Feature Reproducibility of Cartilaginous Bone Tumors32
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs31
Correction to: Journal of Digital Imaging29
Design and Development of a Medical Image Databank for Assisting Studies in Radiomics28
Evolutionary Deep Attention Convolutional Neural Networks for 2D and 3D Medical Image Segmentation28
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net28
Quantitative Evaluation of PACS Query/Retrieve Capabilities27
Prediction of Radiation-Related Dental Caries Through PyRadiomics Features and Artificial Neural Network on Panoramic Radiography25
Deep Learning Improves the Temporal Reproducibility of Aortic Measurement24
Comparison of Transfer Learning Models in Pelvic Tilt and Rotation Measurement in Pediatric Anteroposterior Pelvic Radiographs24
Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets24
Digital Leg Volume Quantification: Precision Assessment of a Novel Workflow Based on Single Capture Three-dimensional Whole-Body Surface Imaging24
Classification of Glaucoma Stages Using Image Empirical Mode Decomposition from Fundus Images23
Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes23
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