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Circulation. Cardiovascular quality and outcomes
Research Hotspot & Journal Scope - Neural


Circulation. Cardiovascular quality and outcomes - DOI: 10.1161/CIRCOUTCOMES.118.005122
Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing

Brett K Beaulieu-Jones · Zhiwei Steven Wu · Chris Williams · Ran Lee · Sanjeev P Bhavnani · James Brian Byrd · Casey S Greene ·

Medicine
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Circulation. Cardiovascular quality and outcomes - DOI: 10.1161/CIRCOUTCOMES.118.005114
Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data: Implications for Temporal Modeling With Respect to Time Before Diagnosis, Data Density, Data Quantity, and Data Type.

Robert Chen · Walter F Stewart · Jimeng Sun · Kenney Ng · Xiaowei Yan ·

Medicine
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In order to explore this method, that differs of the most used, such as the spatial filtering using derivative filters as detectors of edge Sobel, Prewitt, Roberts and Canny, thresholding techniques and Otsu method, this work aimed the medical image segmentation using the Kohonen neural network so itself adopts a non-supervised learning in the training process.

Medical Image Segmentation Using the Kohonen Neural Network [10.1109/TLA.2019.8863176]


Ensemble neural network play vital role to enhance character segmentation accuracy as compared to individual neural networks.

An Ensemble of Neural Networks for Non-Linear Segmentation of Overlapped Cursive Script [10.1504/ijcvr.2020.10029165]


This paper proposes to separate topic and style based on neural multi-task learning.

Multi-Task Learning for Authorship Attribution via Topic Approximation and Competitive Attention [10.1109/ACCESS.2019.2957152]


Similar issues are also encountered in some cancer patients, especially those with onconeural antibodies.

Presence of onconeural antibodies in sarcoidosis patients with parasarcoidosis syndrome. [10.36141/SVDLD.V36I4.8745]


In this paper, a correlation-enhanced auto-associative neural network (CE-AANN) is proposed for imputations of missing values.

Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values [10.1007/978-3-030-22796-8_24]


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