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Dilated convolution network with edge fusion block and directional feature maps for cardiac MRI segmentation

Frontiers in physiology, 2023-01, Vol.14, p.1027076-1027076

2023

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In silico study of the effects of anti-arrhythmic drug treatment on sinoatrial node function for patients with atrial fibrillation

Scientific reports, 2020-01, Vol.10 (1), p.305-305, Article 305

2020

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How synergy between mechanistic and statistical models is impacting research in atrial fibrillation

Frontiers in physiology, 2022-08, Vol.13, p.957604-957604

2022

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A deep feature fusion network for fetal state assessment

Frontiers in physiology, 2022-11, Vol.13, p.969052-969052

2022

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In Silico Assessment of Class I Antiarrhythmic Drug Effects on Pitx2 -Induced Atrial Fibrillation: Insights from Populations of Electrophysiological Models of Human Atrial Cells and Tissues

International journal of molecular sciences, 2021-01, Vol.22 (3), p.1265

2021

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Proarrhythmia in the p.Met207Val PITX2c-Linked Familial Atrial Fibrillation-Insights From Modeling

Frontiers in physiology, 2019-10, Vol.10, p.1314-1314

2019

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A hybrid attentional guidance network for tumors segmentation of breast ultrasound images

International journal for computer assisted radiology and surgery, 2023-08, Vol.18 (8), p.1489-1500

2023

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Understanding PITX2-Dependent Atrial Fibrillation Mechanisms through Computational Models

International journal of molecular sciences, 2021-07, Vol.22 (14), p.7681

2021

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A framework for computing angle of progression from transperineal ultrasound images for evaluating fetal head descent using a novel double branch network

Frontiers in physiology, 2022-12, Vol.13, p.940150-940150

2022

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Comparison of fetal heart rate baseline estimation by the cardiotocograph network and clinicians: a multidatabase retrospective assessment study

Frontiers in cardiovascular medicine, 2023-08, Vol.10, p.1059211-1059211

2023

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A Two-stage Method with a Shared 3D U-Net for Left Atrial Segmentation of Late Gadolinium-Enhanced MRI Images

Cardiovascular innovations and applications, 2023, Vol.8 (1), p.976

2023

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The JNU-IFM dataset for segmenting pubic symphysis-fetal head

Data in brief, 2022-04, Vol.41, p.107904-107904, Article 107904

2022

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Corrigendum to “The JNU-IFM dataset for segmenting pubic symphysis-fetal head” data in brief. 41 (2022) 107904

Data in brief, 2022-06, Vol.42, p.108128-108128, Article 108128

2022

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An attention-based CNN-BiLSTM hybrid neural network enhanced with features of discrete wavelet transformation for fetal acidosis classification

Expert systems with applications, 2021-12, Vol.186, p.115714, Article 115714

2021

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Fetal heart rate baseline estimation with analysis of fetal movement signal

Bio-medical materials and engineering, 2014, Vol.24 (6), p.3763

2014

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Direction-guided and multi-scale feature screening for fetal head–pubic symphysis segmentation and angle of progression calculation

Expert systems with applications, 2024-07, Vol.245, p.123096, Article 123096

2024

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A Parameter Estimation Method for Nonlinear Systems Based on Improved Boundary Chicken Swarm Optimization

Discrete Dynamics in Nature and Society, 2016-01, Vol.2016, p.1-11

2016

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Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier

Computers in biology and medicine, 2021-03, Vol.130, p.104218-104218, Article 104218

2021

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Development of an Analgesia Therapy System for Delivery Based on Bio-feedback Transcuataneous Electrical Nerve Stimulation

Sheng wu yi xue gong cheng xue za zhi, 2015-06, Vol.32 (3), p.650

2015

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Baseline/acceleration/deceleration determination of fetal heart rate signals using a novel ensemble LCResU-Net

Expert systems with applications, 2023-05, Vol.218, p.119610, Article 119610

2023

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Corrigendum to “Cardiotocography signal abnormality classification using time-frequency features and ensemble cost-sensitive SVM classifier” [Comput. Biol. Med. 130 (2021) 104218]

Computers in biology and medicine, 2021-07, Vol.134, p.104466-104466, Article 104466

2021

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Automated fetal heart rate analysis for baseline determination using EMAU-Net

Information sciences, 2023-10, Vol.644, p.119281, Article 119281

2023

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Machine learning-based prediction of postpartum hemorrhage after vaginal delivery: combining bleeding high risk factors and uterine contraction curve

Archives of gynecology and obstetrics, 2022-10, Vol.306 (4), p.1015-1025

2022

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DeepSSR: a deep learning system for structured recognition of text images from unstructured paper-based medical reports

Annals of translational medicine, 2022-07, Vol.10 (13), p.740-740

2022

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The segmentation effect of style transfer on fetal head ultrasound image: a study of multi-source data

Medical & biological engineering & computing, 2023-05, Vol.61 (5), p.1017-1031

2023

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Dilated convolution network with edge fusion block and directional feature maps for cardiac MRI segmentation

In silico study of the effects of anti-arrhythmic drug treatment on sinoatrial node function for patients with atrial fibrillation

How synergy between mechanistic and statistical models is impacting research in atrial fibrillation

A deep feature fusion network for fetal state assessment

In Silico Assessment of Class I Antiarrhythmic Drug Effects on Pitx2 -Induced Atrial Fibrillation: Insights from Populations of Electrophysiological Models of Human Atrial Cells and Tissues

Proarrhythmia in the p.Met207Val PITX2c-Linked Familial Atrial Fibrillation-Insights From Modeling

A hybrid attentional guidance network for tumors segmentation of breast ultrasound images

Understanding PITX2-Dependent Atrial Fibrillation Mechanisms through Computational Models

A framework for computing angle of progression from transperineal ultrasound images for evaluating fetal head descent using a novel double branch network

Comparison of fetal heart rate baseline estimation by the cardiotocograph network and clinicians: a multidatabase retrospective assessment study

A Two-stage Method with a Shared 3D U-Net for Left Atrial Segmentation of Late Gadolinium-Enhanced MRI Images

The JNU-IFM dataset for segmenting pubic symphysis-fetal head

Corrigendum to “The JNU-IFM dataset for segmenting pubic symphysis-fetal head” data in brief. 41 (2022) 107904

An attention-based CNN-BiLSTM hybrid neural network enhanced with features of discrete wavelet transformation for fetal acidosis classification

Fetal heart rate baseline estimation with analysis of fetal movement signal

Direction-guided and multi-scale feature screening for fetal head–pubic symphysis segmentation and angle of progression calculation

A Parameter Estimation Method for Nonlinear Systems Based on Improved Boundary Chicken Swarm Optimization

Cardiotocography signal abnormality classification using time-frequency features and Ensemble Cost-sensitive SVM classifier

Development of an Analgesia Therapy System for Delivery Based on Bio-feedback Transcuataneous Electrical Nerve Stimulation

Baseline/acceleration/deceleration determination of fetal heart rate signals using a novel ensemble LCResU-Net

Corrigendum to “Cardiotocography signal abnormality classification using time-frequency features and ensemble cost-sensitive SVM classifier” [Comput. Biol. Med. 130 (2021) 104218]

Automated fetal heart rate analysis for baseline determination using EMAU-Net

Machine learning-based prediction of postpartum hemorrhage after vaginal delivery: combining bleeding high risk factors and uterine contraction curve

DeepSSR: a deep learning system for structured recognition of text images from unstructured paper-based medical reports

The segmentation effect of style transfer on fetal head ultrasound image: a study of multi-source data

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