Artificial Intelligence in Medicine（ARTMED ）的VOLUME 108论文列表

卷期号： Volume 108

发布时间： August 2020

卷期年份： 2020

卷期官网： https://www.sciencedirect.com/journal/artificial-intelligence-in-medicine/vol/108/suppl/C

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