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Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma In Situ and Minimally Invasive Adenocarcinoma Presenting as Ground-Glass Nodules Measuring 5-10mm in Diameter

Frontiers in oncology, 2021-04, Vol.11, p.618677-618677

2021

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The Association Between Endocan Levels and Subclinical Atherosclerosis in Patients with Type 2 Diabetes Mellitus

The American journal of the medical sciences, 2017-05, Vol.353 (5), p.433-438

2017

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Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction

Medical physics (Lancaster), 2021-04, Vol.48 (4), p.1633-1645

2021

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Iterative Kernel Principal Component for Large-Scale Data Set

Journal of testing and evaluation, 2018-09, Vol.46 (5), p.2130-2139

Shi, Weiya

2018

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CAW-YOLO: Cross-Layer Fusion and Weighted Receptive Field-Based YOLO for Small Object Detection in Remote Sensing

Computer modeling in engineering & sciences, 2024-01, Vol.139 (3), p.3209-3231

2024

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Detection of Insects-contaminated Wheat Based on PSO-BP Network

Information Technology Journal, 2013, Vol.12 (16), p.3596-3599

2013

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DeepSDM: Boundary-aware pneumothorax segmentation in chest X-ray images

Neurocomputing (Amsterdam), 2021-09, Vol.454, p.201-211

2021

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CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, p.454-461

2021

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M ^3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging

IEEE journal of biomedical and health informatics, 2020-12, Vol.24 (12), p.3539-3550

2020

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M 3 Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging

IEEE journal of biomedical and health informatics, 2020-12, Vol.24 (12), p.3539-3550

2020

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HIV-infected patients with opportunistic pulmonary infections misdiagnosed as lung cancers: the clinicoradiologic features and initial application of CT radiomics

Journal of thoracic disease, 2019-06, Vol.11 (6), p.2274-2286

2019

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Efficient detection of internal infestation in wheat based on biophotonics

Journal of photochemistry and photobiology. B, Biology, 2016-02, Vol.155, p.137-143

2016

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M[Formula Omitted]Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging

IEEE journal of biomedical and health informatics, 2020-01, Vol.24 (12), p.3539

2020

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A deep learning-based quantitative computed tomography model for predicting the severity of COVID-19: a retrospective study of 196 patients

Annals of translational medicine, 2021-02, Vol.9 (3), p.216-216

2021

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An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing

Quantitative imaging in medicine and surgery, 2020-01, Vol.10 (1), p.233-242

2020

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The Algorithm of Nonlinear Feature Extraction for Large scale Data set

International Journal of Information Processing and Management, 2012-04, Vol.3 (2), p.45-52

-, Weiya Shi

2012

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Corrigendum to “Efficient detection of internal infestation in wheat based on biophotonics” [J. Photochem. Photobiol., B 155 (February 2016) 137–143]

Journal of photochemistry and photobiology. B, Biology, 2016-07, Vol.160, p.408-408

2016

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Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification

2021 IEEE International Conference on Image Processing (ICIP), 2021, p.205-209

2021

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Natural Gas Load Forecasting with Analysis of Environmental Resources Based on Gray Model

Advanced materials research, 2014, Vol.908, p.433-436

Shi, Wei Ya

2014

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Research on Gas Load Forecasting Using Artificial Neural Network

Advanced materials research, 2013-07, Vol.717, p.423-427

Shi, Wei Ya

2013

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Matrix-based Kernel Method for Large-scale Data Set

International journal of image, graphics and signal processing, 2010-12, Vol.2 (2), p.1-10

Shi, Weiya

2010

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Efficient two dimensional principal component analysis for online learning

2009 Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA), 2009, Vol.2, p.250-253

Weiya Shi

2009

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Survey on Natural Gas Load Forecasting Technology

Advanced materials research, 2012, Vol.485, p.249-252

Shi, Wei Ya

2012

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The Accelerated Power Method for Kernel Principal Component Analysis

Applied Informatics and Communication, p.563-570

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Soft-Reward Based Reinforcement Learning by Spiking Neural Networks

Advanced materials research, 2011, Vol.219-220, p.770-773

Shi, Wei Ya

2011

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Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma In Situ and Minimally Invasive Adenocarcinoma Presenting as Ground-Glass Nodules Measuring 5-10mm in Diameter

The Association Between Endocan Levels and Subclinical Atherosclerosis in Patients with Type 2 Diabetes Mellitus

Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction

Iterative Kernel Principal Component for Large-Scale Data Set

CAW-YOLO: Cross-Layer Fusion and Weighted Receptive Field-Based YOLO for Small Object Detection in Remote Sensing

Detection of Insects-contaminated Wheat Based on PSO-BP Network

DeepSDM: Boundary-aware pneumothorax segmentation in chest X-ray images

CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis

M ^3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging

M 3 Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging

HIV-infected patients with opportunistic pulmonary infections misdiagnosed as lung cancers: the clinicoradiologic features and initial application of CT radiomics

Efficient detection of internal infestation in wheat based on biophotonics

M[Formula Omitted]Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging

A deep learning-based quantitative computed tomography model for predicting the severity of COVID-19: a retrospective study of 196 patients

An unsupervised semi-automated pulmonary nodule segmentation method based on enhanced region growing

The Algorithm of Nonlinear Feature Extraction for Large scale Data set

Corrigendum to “Efficient detection of internal infestation in wheat based on biophotonics” [J. Photochem. Photobiol., B 155 (February 2016) 137–143]

Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification

Natural Gas Load Forecasting with Analysis of Environmental Resources Based on Gray Model

Research on Gas Load Forecasting Using Artificial Neural Network

Matrix-based Kernel Method for Large-scale Data Set

Efficient two dimensional principal component analysis for online learning

Survey on Natural Gas Load Forecasting Technology

The Accelerated Power Method for Kernel Principal Component Analysis

Soft-Reward Based Reinforcement Learning by Spiking Neural Networks

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