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Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images

IEEE transactions on image processing, 2019-08, Vol.28 (8), p.4060-4074

2019

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A multilevel-ROI-features-based machine learning method for detection of morphometric biomarkers in Parkinson’s disease

Neuroscience letters, 2017-06, Vol.651, p.88-94

2017

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CT-based peritumoral radiomics signatures for malignancy grading of clear cell renal cell carcinoma

Abdominal radiology (New York), 2021-06, Vol.46 (6), p.2690-2698

2021

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eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity

Journal of neuroscience methods, 2011-02, Vol.195 (2), p.261-269

2011

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Robust non-rigid point set registration using student's-t mixture model

PloS one, 2014-03, Vol.9 (3), p.e91381-e91381

2014

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Cerebral alterations of type 2 diabetes mellitus on MRI: A pilot study

Neuroscience letters, 2015-10, Vol.606, p.100-105

2015

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A Novel Software Platform for Medical Image Processing and Analyzing

IEEE journal of biomedical and health informatics, 2008-11, Vol.12 (6), p.800-812

2008

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Automated computer-assisted detection system for cerebral aneurysms in time-of-flight magnetic resonance angiography using fully convolutional network

Biomedical engineering online, 2020-05, Vol.19 (1), p.38-38, Article 38

2020

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Predicting histological grade in pediatric glioma using multiparametric radiomics and conventional MRI features

Scientific reports, 2024-06, Vol.14 (1), p.13683-12

2024

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Multilevel Feature Learning Method for Accurate Interictal Epileptiform Spike Detection

IEEE transactions on neural systems and rehabilitation engineering, 2022, Vol.30, p.2506-2516

2022

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Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics

Frontiers in neuroscience, 2024-04, Vol.18, p.1356241

2024

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A Cross-Space CNN with Customized Characteristics for Motor Imagery EEG Classification (September 2022)

IEEE transactions on neural systems and rehabilitation engineering, 2023, Vol.PP, p.1-1

2023

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Corrigendum: Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics

Frontiers in neuroscience, 2024, Vol.18, p.1480497

2024

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Automated unruptured cerebral aneurysms detection in TOF MR angiography images using dual-channel SE-3D UNet: a multi-center research

European radiology, 2023-05, Vol.33 (5), p.3532-3543

2023

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macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND

Biomedical engineering online, 2023-09, Vol.22 (1), p.91-22, Article 91

2023

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Differential diagnosis of congenital ventricular septal defect and atrial septal defect in children using deep learning-based analysis of chest radiographs

BMC pediatrics, 2024-10, Vol.24 (1), p.661-10, Article 661

2024

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Automated quantitative assessment of pediatric blunt hepatic trauma by deep learning-based CT volumetry

European journal of medical research, 2022-12, Vol.27 (1), p.305-305, Article 305

2022

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Development of an ultrasound-based radiomics nomogram to preoperatively predict Ki-67 expression level in patients with breast cancer

Frontiers in oncology, 2022-08, Vol.12, p.963925-963925

2022

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Radiomics analysis combining gray-scale ultrasound and mammography for differentiating breast adenosis from invasive ductal carcinoma

Frontiers in oncology, 2024-07, Vol.14, p.1390342

2024

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A Study of Unilateral Upper Limb Fine Motor Imagery Decoding Using Frequency-Band Attention Network

IEEE access, 2024, Vol.12, p.32679-32692

2024

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iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing

Neuroinformatics (Totowa, N.J.), 2013-04, Vol.11 (2), p.211-225

2013

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Accurate and Robust Non-rigid Point Set Registration using Student’s-t Mixture Model with Prior Probability Modeling

Scientific reports, 2018-06, Vol.8 (1), p.8742-17, Article 8742

2018

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Multi-phase-combined CECT radiomics models for Fuhrman grade prediction of clear cell renal cell carcinoma

Frontiers in oncology, 2023-08, Vol.13, p.1167328-1167328

2023

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A multi-feature fusion decoding study for unilateral upper-limb fine motor imagery

Mathematical biosciences and engineering : MBE, 2023-01, Vol.20 (2), p.2482-2500

2023

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Biparametric MRI of the prostate radiomics model for prediction of pelvic lymph node metastasis in prostate cancers : a two-centre study

BMC medical imaging, 2024-07, Vol.24 (1), p.185-10, Article 185

2024

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Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images

A multilevel-ROI-features-based machine learning method for detection of morphometric biomarkers in Parkinson’s disease

CT-based peritumoral radiomics signatures for malignancy grading of clear cell renal cell carcinoma

eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity

Robust non-rigid point set registration using student's-t mixture model

Cerebral alterations of type 2 diabetes mellitus on MRI: A pilot study

A Novel Software Platform for Medical Image Processing and Analyzing

Automated computer-assisted detection system for cerebral aneurysms in time-of-flight magnetic resonance angiography using fully convolutional network

Predicting histological grade in pediatric glioma using multiparametric radiomics and conventional MRI features

Multilevel Feature Learning Method for Accurate Interictal Epileptiform Spike Detection

Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics

A Cross-Space CNN with Customized Characteristics for Motor Imagery EEG Classification (September 2022)

Corrigendum: Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics

Automated unruptured cerebral aneurysms detection in TOF MR angiography images using dual-channel SE-3D UNet: a multi-center research

macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND

Differential diagnosis of congenital ventricular septal defect and atrial septal defect in children using deep learning-based analysis of chest radiographs

Automated quantitative assessment of pediatric blunt hepatic trauma by deep learning-based CT volumetry

Development of an ultrasound-based radiomics nomogram to preoperatively predict Ki-67 expression level in patients with breast cancer

Radiomics analysis combining gray-scale ultrasound and mammography for differentiating breast adenosis from invasive ductal carcinoma

A Study of Unilateral Upper Limb Fine Motor Imagery Decoding Using Frequency-Band Attention Network

iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing

Accurate and Robust Non-rigid Point Set Registration using Student’s-t Mixture Model with Prior Probability Modeling

Multi-phase-combined CECT radiomics models for Fuhrman grade prediction of clear cell renal cell carcinoma

A multi-feature fusion decoding study for unilateral upper-limb fine motor imagery

Biparametric MRI of the prostate radiomics model for prediction of pelvic lymph node metastasis in prostate cancers : a two-centre study

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