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Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy

Radiology, 2020-08, Vol.296 (2), p.E65-E71

2020

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Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network

European radiology, 2019-11, Vol.29 (11), p.6191-6201

2019

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Mass preserving nonrigid registration of CT lung images using cubic B-spline

Medical physics (Lancaster), 2009-09, Vol.36 (9), p.4213-4222

2009

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Simulation of pulmonary air flow with a subject-specific boundary condition

Journal of biomechanics, 2010-08, Vol.43 (11), p.2159-2163

2010

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Automated anatomical labeling of coronary arteries via bidirectional tree LSTMs

International journal for computer assisted radiology and surgery, 2019-02, Vol.14 (2), p.271-280

2019

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Pulmonary Microvascular Blood Flow in Mild Chronic Obstructive Pulmonary Disease and Emphysema. The MESA COPD Study

American journal of respiratory and critical care medicine, 2015-09, Vol.192 (5), p.570-580

2015

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Hemodynamics analysis of the serial stenotic coronary arteries

Biomedical engineering online, 2017-11, Vol.16 (1), p.127-127, Article 127

2017

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Attention-driven tree-structured convolutional LSTM for high dimensional data understanding

Frontiers in physics, 2023-03, Vol.11

2023

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A Spatiotemporal Agent for Robust Multimodal Registration

IEEE access, 2020, Vol.8, p.75347-75358

2020

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Coronary Computed Tomography Angiography for the Assessment of Sirolimus-Eluting Resorbable Magnesium Scaffold

Life (Basel, Switzerland), 2022-10, Vol.12 (10), p.1612

2022

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Oscillating flow of a viscoelastic fluid in a pipe with the fractional Maxwell model

Applied mathematics and computation, 2006-02, Vol.173 (1), p.231-242

2006

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Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning

IEEE access, 2019, Vol.7, p.132816-132827

2019

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Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging

Neural networks, 2020-03, Vol.123, p.82-93

2020

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DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting

Pattern recognition, 2022-04, Vol.124, p.108415, Article 108415

2022

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End-to-end multimodal image registration via reinforcement learning

Medical image analysis, 2021-02, Vol.68, p.101878-101878, Article 101878

2021

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Learning tree-structured representation for 3D coronary artery segmentation

Computerized medical imaging and graphics, 2020-03, Vol.80, p.101688-101688, Article 101688

2020

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Additional value of deep learning computed tomographic angiography-based fractional flow reserve in detecting coronary stenosis and predicting outcomes

Acta radiologica (1987), 2022-01, Vol.63 (1), p.133-140

2022

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Effect of 320-Row Computed Tomography Acquisition Technology on Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve Based on Machine Learning: Systolic and Diastolic Scan Acquisition

Journal of computer assisted tomography, 2023-03, Vol.47 (2), p.205-211

2023

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Calcium Scoring at Coronary CT Angiography Using Deep Learning

Radiology, 2022-02, Vol.302 (2), p.309-316

2022

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An iterative multi‐path fully convolutional neural network for automatic cardiac segmentation in cine MR images

Medical physics (Lancaster), 2019-12, Vol.46 (12), p.5652-5665

2019

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Couette–Poiseuille flow of a gas in long microchannels

Microfluidics and nanofluidics, 2007-02, Vol.3 (1), p.55-64

2007

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Computed tomography predictors of response to endobronchial valve lung reduction treatment. Comparison with Chartis

American journal of respiratory and critical care medicine, 2015-04, Vol.191 (7), p.767-774

2015

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Assessment of regional non-linear tissue deformation and air volume change of human lungs via image registration

Journal of biomechanics, 2014-05, Vol.47 (7), p.1626-1633

2014

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Evaluation of fractional flow reserve in patients with stable angina: can CT compete with angiography?

European radiology, 2019-07, Vol.29 (7), p.3669-3677

2019

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One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed

Computerized medical imaging and graphics, 2021-12, Vol.94, p.102009-102009, Article 102009

2021

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Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy

Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network

Mass preserving nonrigid registration of CT lung images using cubic B-spline

Simulation of pulmonary air flow with a subject-specific boundary condition

Automated anatomical labeling of coronary arteries via bidirectional tree LSTMs

Pulmonary Microvascular Blood Flow in Mild Chronic Obstructive Pulmonary Disease and Emphysema. The MESA COPD Study

Hemodynamics analysis of the serial stenotic coronary arteries

Attention-driven tree-structured convolutional LSTM for high dimensional data understanding

A Spatiotemporal Agent for Robust Multimodal Registration

Coronary Computed Tomography Angiography for the Assessment of Sirolimus-Eluting Resorbable Magnesium Scaffold

Oscillating flow of a viscoelastic fluid in a pipe with the fractional Maxwell model

Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning

Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging

DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting

End-to-end multimodal image registration via reinforcement learning

Learning tree-structured representation for 3D coronary artery segmentation

Additional value of deep learning computed tomographic angiography-based fractional flow reserve in detecting coronary stenosis and predicting outcomes

Effect of 320-Row Computed Tomography Acquisition Technology on Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve Based on Machine Learning: Systolic and Diastolic Scan Acquisition

Calcium Scoring at Coronary CT Angiography Using Deep Learning

An iterative multi‐path fully convolutional neural network for automatic cardiac segmentation in cine MR images

Couette–Poiseuille flow of a gas in long microchannels

Computed tomography predictors of response to endobronchial valve lung reduction treatment. Comparison with Chartis

Assessment of regional non-linear tissue deformation and air volume change of human lungs via image registration

Evaluation of fractional flow reserve in patients with stable angina: can CT compete with angiography?

One deep learning local-global model based on CT imaging to differentiate between nodular cryptococcosis and lung cancer which are hard to be diagnosed

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