Journal of Digital Imaging

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 2021-08-01 to 2025-08-01.)
ArticleCitations
Quantitative Evaluation of PACS Query/Retrieve Capabilities109
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net64
Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets63
Machine Learning in the Differentiation of Soft Tissue Neoplasms: Comparison of Fat-Suppressed T2WI and Apparent Diffusion Coefficient (ADC) Features-Based Models59
AI Integration in the Clinical Workflow43
Digital Leg Volume Quantification: Precision Assessment of a Novel Workflow Based on Single Capture Three-dimensional Whole-Body Surface Imaging41
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs38
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets36
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information36
A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists’ Perspective32
DermIA: Machine Learning to Improve Skin Cancer Screening32
Subject-Specific Automatic Reconstruction of White Matter Tracts30
ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System29
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation26
An Interview with the Carequality Imaging Use Case Implementers26
The “P” in HIPAA Stands for Portability25
NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck25
Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF24
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI)24
Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT24
Visible Light Imaging: Clinical Aspects with an Emphasis on Medical Photography—a HIMSS-SIIM Enterprise Imaging Community Whitepaper24
Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection22
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations22
Ultra-Low-Dose Spectral CT Based on a Multi-level Wavelet Convolutional Neural Network22
The Classification Power of Classical and Intra-voxel Incoherent Motion (IVIM) Fitting Models of Diffusion-weighted Magnetic Resonance Images: An Experimental Study22
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