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Deep learning-based classification of infectious keratitis on slit-lamp images

Therapeutic advances in chronic disease, 2022-01, Vol.13, p.20406223221136071-20406223221136071

2022

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Assessing muscle invasion in bladder cancer via virtual biopsy: a study on quantitative parameters and classical radiomics features from dual-energy CT imaging

BMC medical imaging, 2024-09, Vol.24 (1), p.245-11, Article 245

2024

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Automatic Osteoporosis Screening System Using Radiomics and Deep Learning from Low-Dose Chest CT Images

Bioengineering (Basel), 2024-01, Vol.11 (1), p.50

2024

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Diagnostic Accuracy of Dual-Energy CT Material Decomposition Technique for Assessing Bone Status Compared with Quantitative Computed Tomography

Diagnostics (Basel), 2023-05, Vol.13 (10), p.1751

2023

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Achieving sub-millisievert CT colonography for accurate colorectal tumor detection using smart examination protocols: a prospective self-controlled study

Abdominal radiology (New York), 2024-09

2024

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Effect of fully automatic classification model from different tube voltage images on bone density screening: A self-controlled study

European journal of radiology, 2024-08, Vol.177, p.111521, Article 111521

2024

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Individualized Scan Protocol Based on Body Mass Index in Dual-Energy Computed Tomography Pulmonary Angiography to Reduce Radiation and Contrast Doses with Improved Image Quality

Medical science monitor, 2023-04, Vol.29, p.e939234-e939234

2023

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Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Mineral Density Assessment From Low-Dose Chest Computed Tomography

Academic radiology, 2024-03, Vol.31 (3), p.1180-1188

2024

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Impact of multi-parameter images obtained from dual-energy CT on radiomics to predict pathological grading of bladder urothelial carcinoma

Abdominal radiology (New York), 2024-08, Vol.49 (12), p.4324-4333

2024

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Impact of virtual monochromatic images of different low-energy levels in dual-energy CT on radiomics models for predicting muscle invasion in bladder cancer

Abdominal radiology (New York), 2024-06, Vol.49 (11), p.3883-3892

2024

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Estimation of renal function using iodine maps in dual-energy spectral computed tomography urography: a feasibility and accuracy study

Abdominal radiology (New York), 2024-03, Vol.49 (3), p.997-1005

2024

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Evaluation of BMI‐based tube voltage selection in CT colonography: A prospective comparison of low kV versus routine 120 kV protocol

Journal of applied clinical medical physics, 2023-05, Vol.24 (5), p.e13955-n/a

2023

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Fully automated deep learning system for osteoporosis screening using chest computed tomography images

Quantitative imaging in medicine and surgery, 2024-04, Vol.14 (4), p.2816-2827

2024

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Opportunistic screening for osteoporosis using enhanced images based on dual-energy computed tomography material decomposition: a comparison with quantitative computed tomography

Quantitative imaging in medicine and surgery, 2024-01, Vol.14 (1), p.352-364

2024

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Episodic Projection Network for Out-of-Distribution Detection in Few-shot Learning

2022 26th International Conference on Pattern Recognition (ICPR), 2022, p.3076-3082

2022

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Virtual unenhanced images derived from dual-energy computed tomography for assessing bone mineral density and detecting osteoporosis

Quantitative imaging in medicine and surgery, 2023-10, Vol.13 (10), p.6571-6582

2023

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Development and multi-center validation of machine learning model for early detection of fungal keratitis

EBioMedicine, 2023-02, Vol.88, p.104438-104438, Article 104438

2023

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Development and multi-center validation of machine learning model for early detection of fungal keratitisResearch in context

EBioMedicine, 2023-02, Vol.88, p.104438

2023

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OGDM: An Observability Guaranteed Distributed Edge Sensing Method for Industrial Cyber-Physical Systems

2023 American Control Conference (ACC), 2023, p.4871-4876

2023

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PowerDet: Efficient and Lightweight Object Detection for Electric Power Open Scenes

2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS), 2021, p.198-202

2021

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Research on Dense-Tiny Object Detection Method of Transmission Line Based on Dynamic NMS

Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence, 2023, p.19-27

2023

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Stochastic Optimal Economic Growth Model with Natural Resources

Wuhan University journal of natural sciences, 2006-05, Vol.11 (3), p.511-514

2006

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RECURSIVE UTILITY,PRODUCTIVE GOVERNMENT EXPENDITURE AND OPTIMAL FISCAL POLICY

Applied Mathematics-A Journal of Chinese Universities, 2005-09, Vol.20 (3), p.277-288

2005

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Development and Multi-Center Validation of Machine Learning Model for Early Detection of Fungal Keratitis

SSRN Electronic Journal

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Minimizing Movement for Target Coverage and Network Connectivity in Mobile Sensor Networks

IEEE transactions on parallel and distributed systems, 2015-07, Vol.26 (7), p.1971-1983

2015

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Deep learning-based classification of infectious keratitis on slit-lamp images

Assessing muscle invasion in bladder cancer via virtual biopsy: a study on quantitative parameters and classical radiomics features from dual-energy CT imaging

Automatic Osteoporosis Screening System Using Radiomics and Deep Learning from Low-Dose Chest CT Images

Diagnostic Accuracy of Dual-Energy CT Material Decomposition Technique for Assessing Bone Status Compared with Quantitative Computed Tomography

Achieving sub-millisievert CT colonography for accurate colorectal tumor detection using smart examination protocols: a prospective self-controlled study

Effect of fully automatic classification model from different tube voltage images on bone density screening: A self-controlled study

Individualized Scan Protocol Based on Body Mass Index in Dual-Energy Computed Tomography Pulmonary Angiography to Reduce Radiation and Contrast Doses with Improved Image Quality

Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Mineral Density Assessment From Low-Dose Chest Computed Tomography

Impact of multi-parameter images obtained from dual-energy CT on radiomics to predict pathological grading of bladder urothelial carcinoma

Impact of virtual monochromatic images of different low-energy levels in dual-energy CT on radiomics models for predicting muscle invasion in bladder cancer

Estimation of renal function using iodine maps in dual-energy spectral computed tomography urography: a feasibility and accuracy study

Evaluation of BMI‐based tube voltage selection in CT colonography: A prospective comparison of low kV versus routine 120 kV protocol

Fully automated deep learning system for osteoporosis screening using chest computed tomography images

Opportunistic screening for osteoporosis using enhanced images based on dual-energy computed tomography material decomposition: a comparison with quantitative computed tomography

Episodic Projection Network for Out-of-Distribution Detection in Few-shot Learning

Virtual unenhanced images derived from dual-energy computed tomography for assessing bone mineral density and detecting osteoporosis

Development and multi-center validation of machine learning model for early detection of fungal keratitis

Development and multi-center validation of machine learning model for early detection of fungal keratitisResearch in context

OGDM: An Observability Guaranteed Distributed Edge Sensing Method for Industrial Cyber-Physical Systems

PowerDet: Efficient and Lightweight Object Detection for Electric Power Open Scenes

Research on Dense-Tiny Object Detection Method of Transmission Line Based on Dynamic NMS

Stochastic Optimal Economic Growth Model with Natural Resources

RECURSIVE UTILITY,PRODUCTIVE GOVERNMENT EXPENDITURE AND OPTIMAL FISCAL POLICY

Development and Multi-Center Validation of Machine Learning Model for Early Detection of Fungal Keratitis

Minimizing Movement for Target Coverage and Network Connectivity in Mobile Sensor Networks

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