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Simultaneous extraction of endocardial and epicardial contours of the left ventricle by distance regularized level sets

Medical physics (Lancaster), 2016-06, Vol.43 (6), p.2741-2755

2016

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A novel biomarker selection method combining graph neural network and gene relationships applied to microarray data

BMC bioinformatics, 2022-07, Vol.23 (1), p.1-303, Article 303

2022

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An Optimized Cost-Sensitive SVM for Imbalanced Data Learning

Advances in Knowledge Discovery and Data Mining, p.280-292

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Self-supervised graph neural network with pre-training generative learning for recommendation systems

Scientific reports, 2022-09, Vol.12 (1), p.15882-15882, Article 15882

2022

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Temporal topic model for clinical pathway mining from electronic medical records

BMC medical informatics and decision making, 2024-01, Vol.24 (1), p.20-14, Article 20

2024

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Segmentation of Clinical Target Volume From CT Images for Cervical Cancer Using Deep Learning

Technology in cancer research & treatment, 2023-01, Vol.22, p.15330338221139164-15330338221139164

2023

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ADAN: An Intelligent Approach Based on Attentive Neural Network and Relevant Law Articles for Charge Prediction

IEEE access, 2021, Vol.9, p.90203-90211

2021

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Molecular Subtypes Recognition of Breast Cancer in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Phenotypes from Radiomics Data

Computational and mathematical methods in medicine, 2019, Vol.2019 (2019), p.1-14

2019

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An Improved AdaBoost for Prosecutorial Case-Workload Estimation via Case Grouping

International journal of computational intelligence systems, 2022-12, Vol.15 (1), p.1-12, Article 48

2022

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Computer-Aided Lung Nodule Recognition by SVM Classifier Based on Combination of Random Undersampling and SMOTE

Computational and mathematical methods in medicine, 2015-01, Vol.2015 (2015), p.1-13

2015

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Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD

Computerized medical imaging and graphics, 2014-04, Vol.38 (3), p.137-150

2014

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Single Channel Based Interference‐Free and Self‐Powered Human–Machine Interactive Interface Using Eigenfrequency‐Dominant Mechanism

Advanced science, 2024-04, Vol.11 (13), p.e2302782-n/a

2024

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Fault diagnosis and location of the aero-engine hydraulic pipeline based on Kalman filter

Advances in mechanical engineering, 2017-12, Vol.9 (12), p.168781401774281

2017

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Abdomen tissues segmentation from computed tomography images using deep learning and level set methods

Mathematical biosciences and engineering : MBE, 2022-01, Vol.19 (12), p.14074-14085

2022

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Scalable and eco-friendly flexible loudspeakers for distributed human-machine interactions

Npj flexible electronics, 2023-10, Vol.7 (1), p.45-10, Article 45

2023

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Image segmentation and bias correction using local inhomogeneous iNtensity clustering (LINC): A region-based level set method

Neurocomputing (Amsterdam), 2017-01, Vol.219, p.107-129

2017

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Image segmentation using CUDA accelerated non-local means denoising and bias correction embedded fuzzy c-means (BCEFCM)

Signal processing, 2016-05, Vol.122, p.164-189

2016

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Towards an Optimal Energy Consumption for Unattended Mobile Sensor Networks through Autonomous Sensor Redeployment

TheScientificWorld, 2014-01, Vol.2014 (2014), p.1-12

2014

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Untethered triboelectric patch for wearable smart sensing and energy harvesting

Nano energy, 2022-09, Vol.100, p.107500, Article 107500

2022

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Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images

Computational and mathematical methods in medicine, 2016-01, Vol.2016 (2016), p.1-7

2016

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Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer’s disease

Pattern recognition, 2017-12, Vol.72, p.219-235

2017

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A Two-Stage Range-Free Localization Method for Wireless Sensor Networks

International journal of distributed sensor networks, 2015-01, Vol.2015 (2), p.908417

2015

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BCEFCM_S: Bias correction embedded fuzzy c-means with spatial constraint to segment multiple spectral images with intensity inhomogeneities and noises

Signal processing, 2020-03, Vol.168, p.107347, Article 107347

2020

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Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm

Computerized medical imaging and graphics, 2017-01, Vol.55, p.54-67

2017

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Deep learning-based breast region extraction of mammographic images combining pre-processing methods and semantic segmentation supported by Deeplab v3

Technology and health care, 2022-01, Vol.30 (S1), p.173-190

2022

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Simultaneous extraction of endocardial and epicardial contours of the left ventricle by distance regularized level sets

A novel biomarker selection method combining graph neural network and gene relationships applied to microarray data

An Optimized Cost-Sensitive SVM for Imbalanced Data Learning

Self-supervised graph neural network with pre-training generative learning for recommendation systems

Temporal topic model for clinical pathway mining from electronic medical records

Segmentation of Clinical Target Volume From CT Images for Cervical Cancer Using Deep Learning

ADAN: An Intelligent Approach Based on Attentive Neural Network and Relevant Law Articles for Charge Prediction

Molecular Subtypes Recognition of Breast Cancer in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Phenotypes from Radiomics Data

An Improved AdaBoost for Prosecutorial Case-Workload Estimation via Case Grouping

Computer-Aided Lung Nodule Recognition by SVM Classifier Based on Combination of Random Undersampling and SMOTE

Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD

Single Channel Based Interference‐Free and Self‐Powered Human–Machine Interactive Interface Using Eigenfrequency‐Dominant Mechanism

Fault diagnosis and location of the aero-engine hydraulic pipeline based on Kalman filter

Abdomen tissues segmentation from computed tomography images using deep learning and level set methods

Scalable and eco-friendly flexible loudspeakers for distributed human-machine interactions

Image segmentation and bias correction using local inhomogeneous iNtensity clustering (LINC): A region-based level set method

Image segmentation using CUDA accelerated non-local means denoising and bias correction embedded fuzzy c-means (BCEFCM)

Towards an Optimal Energy Consumption for Unattended Mobile Sensor Networks through Autonomous Sensor Redeployment

Untethered triboelectric patch for wearable smart sensing and energy harvesting

Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images

Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer’s disease

A Two-Stage Range-Free Localization Method for Wireless Sensor Networks

BCEFCM_S: Bias correction embedded fuzzy c-means with spatial constraint to segment multiple spectral images with intensity inhomogeneities and noises

Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm

Deep learning-based breast region extraction of mammographic images combining pre-processing methods and semantic segmentation supported by Deeplab v3

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