deep neural network

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deep neural network

deep neural network

Related Articles & Bibliographies

A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation.

Artificial intelligence in pediatric cardiology and cardiac surgery: Irrational hype or paradigm shift?

Antimicrobial resistance genetic factor identification from whole-genome sequence data using deep feature selection.

Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model.

Decoding Rejuvenating Effects of Mechanical Loading on Skeletal Aging using in Vivo μCT Imaging and Deep Learning.

Automated Detection of Parkinson's Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network.

A Deep Learning Approach for Estimating Traffic Density Using Data Obtained from Connected and Autonomous Probes

Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology

DeepResp: Deep learning solution for respiration-induced B fluctuation artifacts in multi-slice GRE.

Household and personal air pollution exposure measurements from 120 communities in eight countries: results from the PURE-AIR study.

Self-grouping convolutional neural networks.

diagnosing autism spectrum disorder from brain resting-state functional connectivity patterns using a deep neural network with a novel feature selection method

deep learning methods to process fmri data and their application in the diagnosis of cognitive impairment: a brief overview and our opinion

Himawari-8 Aerosol Optical Depth (AOD) Retrieval Using a Deep Neural Network Trained Using AERONET Observations

Using Deep Neural Networks to Reconstruct Non-uniformly Sampled NMR Spectra.

Automated AJCC (7th edition) staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN).

Anomaly Detection in Moving Crowds through Spatiotemporal Autoencoding and Additional Attention

Sensory processing and categorization in cortical and deep neural networks.

Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.

Exploiting potential of deep neural networks by layer-wise fine-grained parallelism

Related Journals

Acta biomaterialia

BMC Bioinformatics

Computers in biology and medicine

neural networks : the official journal of the international neural network society

international journal of cardiology heart & vasculature

annals of pediatric cardiology

NeuroImage

frontiers in neuroinformatics

the lancet planetary health

ieee journal of translational engineering in health and medicine

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