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Editorial: The combination of data-driven machine learning approaches and prior knowledge for robust medical image processing and analysis

Frontiers in medicine, 2024-05, Vol.11, p.1434686-1434686

2024

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The Role of CaMKII Overexpression and Oxidation in Atrial Fibrillation-A Simulation Study

Frontiers in physiology, 2020-12, Vol.11, p.607809-607809

2020

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Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images

IEEE transactions on medical imaging, 2018-08, Vol.37 (8), p.1943-1954

2018

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TTN: Topological Transformer Network for Automated Coronary Artery Branch Labeling in Cardiac CT Angiography

IEEE journal of translational engineering in health and medicine, 2024, Vol.12, p.129-139

2024

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Computational Cardiac Modeling Reveals Mechanisms of Ventricular Arrhythmogenesis in Long QT Syndrome Type 8: CACNA1C R858H Mutation Linked to Ventricular Fibrillation

Frontiers in physiology, 2017-10, Vol.8, p.771-771

2017

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Cancelable biometric authentication system based on ECG

Multimedia tools and applications, 2019, Vol.78 (2), p.1857-1887

2019

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A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model

Computerized medical imaging and graphics, 2022-07, Vol.99, p.102092-102092, Article 102092

2022

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Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

IEEE transactions on biomedical engineering, 2018-09, Vol.65 (9), p.1924-1934

2018

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Curriculum label distribution learning for imbalanced medical image segmentation

Medical image analysis, 2023-10, Vol.89, p.102911-102911, Article 102911

2023

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Uncertainty‐guided symmetric multilevel supervision network for 3D left atrium segmentation in late gadolinium‐enhanced MRI

Medical physics (Lancaster), 2022-07, Vol.49 (7), p.4554-4565

2022

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Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning

Medical image analysis, 2023-12, Vol.90, p.102944-102944, Article 102944

2023

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Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography

Medical image analysis, 2020-04, Vol.61, p.101638-101638, Article 101638

2020

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Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation

IEEE journal of biomedical and health informatics, 2022-03, Vol.26 (3), p.1140-1151

2022

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Trajectory-aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography

IEEE journal of biomedical and health informatics, 2023-09, Vol.PP (9), p.1-12

2023

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Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasound

European radiology, 2022-10, Vol.32 (10), p.7163-7172

2022

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Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation

Medical image analysis, 2024-05, Vol.94, p.103112-103112, Article 103112

2024

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Multi-modality attribute learning-based method for drug–protein interaction prediction based on deep neural network

Briefings in bioinformatics, 2023-05, Vol.24 (3)

2023

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DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins

Bioinformatics (Oxford, England), 2024-03, Vol.40 (4)

2024

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Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge

Medical image analysis, 2022-10, Vol.81, p.102528-102528, Article 102528

2022

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A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography

BioMed research international, 2018-01, Vol.2018, p.5682365-16

2018

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Dynamically constructed network with error correction for accurate ventricle volume estimation

Medical image analysis, 2020-08, Vol.64, p.101723-101723, Article 101723

2020

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Multi-step Cascaded Networks for Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.163-173

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A Combined Random Forests and Active Contour Model Approach for Fully Automatic Segmentation of the Left Atrium in Volumetric MRI

BioMed research international, 2017-01, Vol.2017, p.8381094-14

2017

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Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification

Medical image analysis, 2020-01, Vol.59, p.101591-101591, Article 101591

2020

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KIEGLFN: A unified acne grading framework on face images

Computer methods and programs in biomedicine, 2022-06, Vol.221, p.106911-106911, Article 106911

2022

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Editorial: The combination of data-driven machine learning approaches and prior knowledge for robust medical image processing and analysis

The Role of CaMKII Overexpression and Oxidation in Atrial Fibrillation-A Simulation Study

Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images

TTN: Topological Transformer Network for Automated Coronary Artery Branch Labeling in Cardiac CT Angiography

Computational Cardiac Modeling Reveals Mechanisms of Ventricular Arrhythmogenesis in Long QT Syndrome Type 8: CACNA1C R858H Mutation Linked to Ventricular Fibrillation

Cancelable biometric authentication system based on ECG

A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model

Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

Curriculum label distribution learning for imbalanced medical image segmentation

Uncertainty‐guided symmetric multilevel supervision network for 3D left atrium segmentation in late gadolinium‐enhanced MRI

Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning

Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography

Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation

Trajectory-aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography

Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasound

Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation

Multi-modality attribute learning-based method for drug–protein interaction prediction based on deep neural network

DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge

A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography

Dynamically constructed network with error correction for accurate ventricle volume estimation

Multi-step Cascaded Networks for Brain Tumor Segmentation

A Combined Random Forests and Active Contour Model Approach for Fully Automatic Segmentation of the Left Atrium in Volumetric MRI

Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification

KIEGLFN: A unified acne grading framework on face images

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