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Deep learning

Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study

Zachi I. Attia, Alan Sugrue, [ ... ], Peter A. Noseworthy

Biomedical literature classification with a CNNs-based hybrid learning network

Yan Yan, Xu-Cheng Yin, [ ... ], Bo-Wen Zhang

Predicting human protein function with multi-task deep neural networks

Rui Fa, Domenico Cozzetto, Cen Wan, David T. Jones

Image classification by addition of spatial information based on histograms of orthogonal vectors

Bushra Zafar, Rehan Ashraf, [ ... ], Savvas A. Chatzichristofis

Concussion classification via deep learning using whole-brain white matter fiber strains

Yunliang Cai, Shaoju Wu, [ ... ], Songbai Ji

Automated and real-time segmentation of suspicious breast masses using convolutional neural network

Viksit Kumar, Jeremy M. Webb, [ ... ], Azra Alizad

Readmission prediction via deep contextual embedding of clinical concepts

Cao Xiao, Tengfei Ma, [ ... ], Fei Wang

A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue

Jeffrey J. Nirschl, Andrew Janowczyk, [ ... ], Anant Madabhushi

Generalising better: Applying deep learning to integrate deleteriousness prediction scores for whole-exome SNV studies

Ilia Korvigo, Andrey Afanasyev, Nikolay Romashchenko, Mikhail Skoblov

Deblurring traffic sign images based on exemplars

Houjie Li, Tianshuang Qiu, [ ... ], Linxiu Wu

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

Sebastian Gehrmann, Franck Dernoncourt, [ ... ], Leo A. Celi

Predicting outcome of Morris water maze test in vascular dementia mouse model with deep learning

Akinori Higaki, Masaki Mogi, [ ... ], Masatsugu Horiuchi

Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network

Seung Seog Han, Gyeong Hun Park, [ ... ], Sung Eun Chang

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