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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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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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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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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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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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Dual-path multi-branch feature residual network for salient object detection

Engineering applications of artificial intelligence, Article 108530

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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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Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network

IEEE journal of biomedical and health informatics, 2024-05, Vol.PP, p.1-12

2024

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IEEE_Xplore

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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RTSeg-net: A lightweight network for real-time segmentation of fetal head and pubic symphysis from intrapartum ultrasound images

Computers in biology and medicine, 2024-06, Vol.175, p.108501-108501, Article 108501

2024

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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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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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Editorial: New technologies improve maternal and newborn safety

Frontiers in medical technology, 2024-05, Vol.6

2024

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

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

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

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

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

Dual-path multi-branch feature residual network for salient object detection

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

Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network

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

RTSeg-net: A lightweight network for real-time segmentation of fetal head and pubic symphysis from intrapartum ultrasound images

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

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

Editorial: New technologies improve maternal and newborn safety

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