Editorial Board
Realistic hair simulator for skin lesion images: A novel benchemarking tool
Variable step dynamic threshold local binary pattern for classification of atrial fibrillation
Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study
Canada protocol: An ethical checklist for the use of artificial Intelligence in suicide prevention and mental health
Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network
Handling imbalanced medical image data: A deep-learning-based one-class classification approach
Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier
EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature
Automated ICD-10 code assignment of nonstandard diagnoses via a two-stage framework
G-Forest: An ensemble method for cost-sensitive feature selection in gene expression microarrays
The natural language explanation algorithms for the lung cancer computer-aided diagnosis system
Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques
Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records
Indoor location identification of patients for directing virtual care: An AI approach using machine learning and knowledge-based methods
Implementation of an ontological reasoning to support the guideline-based management of primary breast cancer patients in the DESIREE project
Domain expertise–agnostic feature selection for the analysis of breast cancer data*
Temporal tree representation for similarity computation between medical patients
A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis