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Artificial Intelligence in Medicine
Volume 111
Artificial Intelligence in Medicine
(ARTMED)
-
Volume 111
论文列表
点击这里查看 Artificial Intelligence in Medicine 的JCR分区、影响因子等信息
卷期号:
Volume 111
发布时间:
January 2021
卷期年份:
2021
卷期官网:
https://www.sciencedirect.com/journal/artificial-intelligence-in-medicine/vol/111/suppl/C
本期论文列表
Editorial Board
原文链接
谷歌学术
必应学术
百度学术
Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods
原文链接
谷歌学术
必应学术
百度学术
EKNN: Ensemble classifier incorporating connectivity and density into kNN with application to cancer diagnosis
原文链接
谷歌学术
必应学术
百度学术
Individual tooth detection and identification from dental panoramic X-ray images via point-wise localization and distance regularization
原文链接
谷歌学术
必应学术
百度学术
A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support
原文链接
谷歌学术
必应学术
百度学术
Interactive medical image segmentation via a point-based interaction
原文链接
谷歌学术
必应学术
百度学术
Training data enhancements for improving colonic polyp detection using deep convolutional neural networks
原文链接
谷歌学术
必应学术
百度学术
EPTs-TL: A two-level approach for efficient event prediction in healthcare
原文链接
谷歌学术
必应学术
百度学术
Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidents
原文链接
谷歌学术
必应学术
百度学术
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image
原文链接
谷歌学术
必应学术
百度学术
Estimating sparse functional connectivity networks via hyperparameter-free learning model
原文链接
谷歌学术
必应学术
百度学术
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues
原文链接
谷歌学术
必应学术
百度学术
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling
原文链接
谷歌学术
必应学术
百度学术
Using interpretability approaches to update “black-box” clinical prediction models: an external validation study in nephrology
原文链接
谷歌学术
必应学术
百度学术