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Screening Tool for Paroxysmal Atrial Fibrillation Based on a Deep-Learning Algorithm Using Printed 12-Lead Electrocardiographic Records during Sinus Rhythm

Reviews in cardiovascular medicine, 2024-07, Vol.25 (7), p.242

2024

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Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network

BMC medical informatics and decision making, 2022-11, Vol.22 (1), p.295-295, Article 295

2022

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Common marmoset (Callithrix jacchus) as a primate model for behavioral neuroscience studies

Journal of neuroscience methods, 2017-06, Vol.284, p.35-46

2017

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Using reinforcement learning to provide stable brain-machine interface control despite neural input reorganization

PloS one, 2014-01, Vol.9 (1), p.e87253-e87253

2014

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A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection

Biomedical signal processing and control, 2023-01, Vol.79, p.104194, Article 104194

2023

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Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer

IEEE transaction on neural networks and learning systems, 2023-07, Vol.PP, p.1-10

2023

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Building and training a deep spiking neural network for ECG classification

Biomedical signal processing and control, 2022-08, Vol.77, p.103749, Article 103749

2022

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Plexin D1 negatively regulates macrophage-derived foam cell migration via the focal adhesion kinase/Paxillin pathway

Biochemical and biophysical research communications, 2024-09, Vol.725, p.150236, Article 150236

2024

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PO-661-03 USE OF A DEEP LEARNING ALGORITHM TO PREDICT PAROXYSMAL ATRIAL FIBRILLATION BASED ON PRINTED ELECTROCARDIOGRAPHIC RECORDS ACQUIRED DURING SINUS RHYTHM

Heart rhythm, 2022-05, Vol.19 (5), p.S285-S286

2022

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An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation

Journal of cardiovascular electrophysiology, 2024-07, Vol.35 (9), p.1849-1858

2024

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Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks

Neural computing & applications, 2024-03, Vol.36 (8), p.4047-4058

2024

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CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training

Biomedical signal processing and control, 2024-05, Vol.91, p.105922, Article 105922

2024

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Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning

Health information science and systems, 2023-12, Vol.12 (1), p.2-2, Article 2

2023

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Chronic recordings from the marmoset motor cortex reveals modulation of neural firing and local field potentials overlap with macaques

Journal of neural engineering, 2021-08, Vol.18 (4), p.460

2021

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Towards autonomous neuroprosthetic control using Hebbian reinforcement learning

Journal of neural engineering, 2013-12, Vol.10 (6), p.066005-15

2013

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Long-term stability of neural signals from microwire arrays implanted in common marmoset motor cortex and striatum

Biomedical physics & engineering express, 2018-08, Vol.4 (5), p.55025

2018

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Brain-machine interface control of a robot arm using actor-critic rainforcement learning

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012, Vol.2012, p.4108-4111

2012

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Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMI

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.5250-5253

2013

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Extraction of error related local field potentials from the striatum during environmental perturbations of a robotic arm

2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 2013, p.993-996

2013

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Less is More: Reducing Overfitting in Deep Learning for EEG Classification

2023 Computing in Cardiology (CinC), 2023, Vol.50, p.1-4

2023

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Representation of natural arm and robotic arm movement in the striatum of a marmoset engaged in a two choice task

2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 2013, p.399-402

2013

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From Trash to Treasure: Direct Transformation of Onion Husks into Three-Dimensional Interconnected Porous Carbon Frameworks for High-Performance Supercapacitors in Organic Electrolyte

Electrochimica acta, 2016-10, Vol.216, p.405-411

2016

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Aging Atlas: a multi-omics database for aging biology

Nucleic acids research, 2021-01, Vol.49 (D1), p.D825-D830

2021

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Enhanced performance and capacitance behavior of anode by rolling Fe3O4 into activated carbon in microbial fuel cells

Bioresource technology, 2012-10, Vol.121, p.450-453

2012

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Unconventional mesopore carbon nanomesh prepared through explosion–assisted activation approach: A robust electrode material for ultrafast organic electrolyte supercapacitors

Carbon (New York), 2017-08, Vol.119, p.30-39

2017

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Screening Tool for Paroxysmal Atrial Fibrillation Based on a Deep-Learning Algorithm Using Printed 12-Lead Electrocardiographic Records during Sinus Rhythm

Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network

Common marmoset (Callithrix jacchus) as a primate model for behavioral neuroscience studies

Using reinforcement learning to provide stable brain-machine interface control despite neural input reorganization

A simple self-supervised ECG representation learning method via manipulated temporal–spatial reverse detection

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer

Building and training a deep spiking neural network for ECG classification

Plexin D1 negatively regulates macrophage-derived foam cell migration via the focal adhesion kinase/Paxillin pathway

PO-661-03 USE OF A DEEP LEARNING ALGORITHM TO PREDICT PAROXYSMAL ATRIAL FIBRILLATION BASED ON PRINTED ELECTROCARDIOGRAPHIC RECORDS ACQUIRED DURING SINUS RHYTHM

An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation

Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks

CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training

Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning

Chronic recordings from the marmoset motor cortex reveals modulation of neural firing and local field potentials overlap with macaques

Towards autonomous neuroprosthetic control using Hebbian reinforcement learning

Long-term stability of neural signals from microwire arrays implanted in common marmoset motor cortex and striatum

Brain-machine interface control of a robot arm using actor-critic rainforcement learning

Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMI

Extraction of error related local field potentials from the striatum during environmental perturbations of a robotic arm

Less is More: Reducing Overfitting in Deep Learning for EEG Classification

Representation of natural arm and robotic arm movement in the striatum of a marmoset engaged in a two choice task

From Trash to Treasure: Direct Transformation of Onion Husks into Three-Dimensional Interconnected Porous Carbon Frameworks for High-Performance Supercapacitors in Organic Electrolyte

Aging Atlas: a multi-omics database for aging biology

Enhanced performance and capacitance behavior of anode by rolling Fe3O4 into activated carbon in microbial fuel cells

Unconventional mesopore carbon nanomesh prepared through explosion–assisted activation approach: A robust electrode material for ultrafast organic electrolyte supercapacitors

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