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Splicing learning: A novel few-shot learning approach

Information sciences, 2021-04, Vol.552, p.17-28

2021

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A novel self-learning semi-supervised deep learning network to detect fake news on social media

Multimedia tools and applications, 2022-06, Vol.81 (14), p.19341-19349

2022

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Integrating genomic and resting State fMRI for efficient autism spectrum disorder classification

Multimedia tools and applications, 2022-06, Vol.81 (14), p.19183-19194

2022

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Super-resolution quantification of nanoscale damage to mitochondria in live cells

Nano research, 2020-08, Vol.13 (8), p.2149-2155

2020

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Precise detection of awareness in disorders of consciousness using deep learning framework

NeuroImage (Orlando, Fla.), 2024-04, Vol.290, p.120580-120580, Article 120580

2024

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Modeling and recognition of steel-plate surface defects based on a new backward boosting algorithm

International journal of advanced manufacturing technology, 2018-02, Vol.94 (9-12), p.4317-4328

2018

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Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts

Nature communications, 2024-02, Vol.15 (1), p.976-976, Article 976

2024

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Enhancing fairness in AI-enabled medical systems with the attribute neutral framework

Nature communications, 2024-10, Vol.15 (1), p.8767-16, Article 8767

2024

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A computer-aided diagnosis system for brain tumors based on artificial intelligence algorithms

Frontiers in neuroscience, 2023-07, Vol.17, p.1120781-1120781

2023

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A Two-Stage Model for Predicting Mild Cognitive Impairment to Alzheimer's Disease Conversion

Frontiers in aging neuroscience, 2022-03, Vol.14, p.826622-826622

2022

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Association of fresh vegetable and salt-preserved vegetable consumptions with estimated glomerular filtration rate

BMC nephrology, 2023-12, Vol.24 (1), p.369-369, Article 369

2023

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Decoding the genetic comorbidity network of Alzheimer's disease

BioData mining, 2024-10, Vol.17 (1), p.40-13, Article 40

2024

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A multimodal physiological and psychological dataset for human with mental stress induced myocardial ischemia

Scientific data, 2024-06, Vol.11 (1), p.704-7, Article 704

2024

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Association of dietary patterns with cognitive function in older people: Results from the Chinese longitudinal healthy longevity survey

Medicine Advances, 2023-09, Vol.1 (3), p.246-259

2023

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An Innovative Three-Stage Model for Prenatal Genetic Disorder Detection Based on Region-of-Interest in Fetal Ultrasound

Bioengineering (Basel), 2023-07, Vol.10 (7), p.873

2023

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A Deep Learning-based Brain Age Prediction Model for Preterm Infants via Neonatal MRI

IEEE access, 2023-01, Vol.11, p.1-1

2023

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A Deep-Learning-Based Method Can Detect Both Common and Rare Genetic Disorders in Fetal Ultrasound

Biomedicines, 2023-06, Vol.11 (6), p.1756

2023

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A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography

NPJ digital medicine, 2023-08, Vol.6 (1), p.143-143, Article 143

2023

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A proposed artificial intelligence workflow to address application challenges leveraged on algorithm uncertainty

iScience, 2022-03, Vol.25 (3), p.103961, Article 103961

2022

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Factors Associated with Mental Health Results among Workers with Income Losses Exposed to COVID-19 in China

International journal of environmental research and public health, 2020-08, Vol.17 (15), p.5627

2020

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An ER-targeted “reserve-release” fluorogen for topological quantification of reticulophagy

Biomaterials, 2023-01, Vol.292, p.121929-121929, Article 121929

2023

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A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer’s disease

Biomedical signal processing and control, 2024-02, Vol.88, p.105669, Article 105669

2024

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Diagnosis of generalized joint hypermobility with gait patterns using a deep neural network

Computers in biology and medicine, 2023-09, Vol.164, p.107360-107360, Article 107360

2023

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MRI-based brain age prediction model for children under 3 years old using deep residual network

Brain Structure and Function, 2023-09, Vol.228 (7), p.1771-1784

2023

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The Two-Stage Ensemble Learning Model Based on Aggregated Facial Features in Screening for Fetal Genetic Diseases

International journal of environmental research and public health, 2023-01, Vol.20 (3), p.2377

2023

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Splicing learning: A novel few-shot learning approach

A novel self-learning semi-supervised deep learning network to detect fake news on social media

Integrating genomic and resting State fMRI for efficient autism spectrum disorder classification

Super-resolution quantification of nanoscale damage to mitochondria in live cells

Precise detection of awareness in disorders of consciousness using deep learning framework

Modeling and recognition of steel-plate surface defects based on a new backward boosting algorithm

Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts

Enhancing fairness in AI-enabled medical systems with the attribute neutral framework

A computer-aided diagnosis system for brain tumors based on artificial intelligence algorithms

A Two-Stage Model for Predicting Mild Cognitive Impairment to Alzheimer's Disease Conversion

Association of fresh vegetable and salt-preserved vegetable consumptions with estimated glomerular filtration rate

Decoding the genetic comorbidity network of Alzheimer's disease

A multimodal physiological and psychological dataset for human with mental stress induced myocardial ischemia

Association of dietary patterns with cognitive function in older people: Results from the Chinese longitudinal healthy longevity survey

An Innovative Three-Stage Model for Prenatal Genetic Disorder Detection Based on Region-of-Interest in Fetal Ultrasound

A Deep Learning-based Brain Age Prediction Model for Preterm Infants via Neonatal MRI

A Deep-Learning-Based Method Can Detect Both Common and Rare Genetic Disorders in Fetal Ultrasound

A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography

A proposed artificial intelligence workflow to address application challenges leveraged on algorithm uncertainty

Factors Associated with Mental Health Results among Workers with Income Losses Exposed to COVID-19 in China

An ER-targeted “reserve-release” fluorogen for topological quantification of reticulophagy

A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer’s disease

Diagnosis of generalized joint hypermobility with gait patterns using a deep neural network

MRI-based brain age prediction model for children under 3 years old using deep residual network

The Two-Stage Ensemble Learning Model Based on Aggregated Facial Features in Screening for Fetal Genetic Diseases

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