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COVID-AL: The diagnosis of COVID-19 with deep active learning.
In Medical image analysis
Wu Xing, Chen Cheng, Zhong Mingyu, Wang Jianjia, Shi Jun
2020-Nov-26
COVID-19, Computer-aided diagnosis, Deep active learning, Predicted loss, Sample diversity

Dynamic MRI reconstruction with end-to-end motion-guided network.
In Medical image analysis
Huang Qiaoying, Xian Yikun, Yang Dong, Qu Hui, Yi Jingru, Wu Pengxiang, Metaxas Dimitris N
2020-Nov-13
Dynamic MRI reconstruction, Motion compensation, Motion estimation

Age verification using random forests on facial 3D landmarks.
In Forensic science international
Jandová Marie, Daňko Marek, Urbanová Petra
2020-Nov-21
3D facial models, Age estimation, Age verification, FIDENTIS database, Random forests

Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review.
In Accident; analysis and prevention
Watling Christopher N, Mahmudul Hasan Md, Larue Grégoire S
2020-Dec-04
Driving, Drowsiness, Fatigue, Features, Ground truth, Machine learning, Physiological sleepiness

Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology.
In Accident; analysis and prevention
Kwayu Keneth Morgan, Kwigizile Valerian, Lee Kevin, Oh Jun-Seok
2020-Dec-04
Network centrality measures, Network topology, Structural topic modeling, Traffic crashes
Causal relationships between gut metabolites and Alzheimer's disease: a bidirectional Mendelian randomization study.
In Neurobiology of aging ; h5-index 69.0
Zhuang Zhenhuang, Gao Meng, Yang Ruotong, Liu Zhonghua, Cao Weihua, Huang Tao
2020-Nov-12
“Alzheimers disease”, Causality, Genetic association, Mendelian randomization, Trimethylamine N-oxide
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