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Expanding Applications of Pulmonary MRI in the Clinical Evaluation of Lung Disorders: Fleischner Society Position Paper

Radiology, 2020-11, Vol.297 (2), p.286-301

2020

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Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses

Radiology, 2019-08, Vol.292 (2), p.365-373

2019

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Automatic reconstruction of the arterial and venous trees on volumetric chest CT

Medical physics (Lancaster), 2013-07, Vol.40 (7), p.071906-n/a

2013

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Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management: State of the art

European journal of radiology, 2017-01, Vol.86, p.297-307

2017

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Interstitial Lung Abnormalities at CT in the Korean National Lung Cancer Screening Program: Prevalence and Deep Learning-based Texture Analysis

Radiology, 2023-05, Vol.307 (4), p.e222828-e222828

2023

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Development of a patient-specific chest computed tomography imaging phantom with realistic lung lesions using silicone casting and three-dimensional printing

Scientific reports, 2023-03, Vol.13 (1), p.3941-9, Article 3941

2023

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Interstitial lung abnormalities detected incidentally on CT: a Position Paper from the Fleischner Society

The lancet respiratory medicine, 2020-07, Vol.8 (7), p.726-737

2020

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Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net

Medical image analysis, 2019-01, Vol.51, p.13-20

2019

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Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

Nature communications, 2022-07, Vol.13 (1), p.3848-3848, Article 3848

2022

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Biopsy Needle Integrated with Electrical Impedance Sensing Microelectrode Array towards Real-time Needle Guidance and Tissue Discrimination

Scientific reports, 2018-01, Vol.8 (1), p.264-264, Article 264

2018

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CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma

European journal of radiology, 2021-06, Vol.139, p.109710-109710, Article 109710

2021

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Design and Kinematic Analysis of a New End-Effector for a Robotic Needle Insertion-Type Intervention System

International journal of advanced robotic systems, 2014-12, Vol.11 (12)

2014

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Multi-domain CT translation by a routable translation network

Physics in medicine & biology, 2022-11, Vol.67 (21), p.215002

2022

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Development of a CT imaging phantom of anthromorphic lung using fused deposition modeling 3D printing

Medicine (Baltimore), 2020-01, Vol.99 (1), p.e18617-e18617

2020

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Artificial Intelligence in Health Care: Current Applications and Issues

Journal of Korean Medical Science, 2020, 35(42), , pp.1-11

2020

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Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease

Journal of digital imaging, 2018-08, Vol.31 (4), p.415-424

2018

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Evaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease

Scientific reports, 2024-02, Vol.14 (1), p.4587-4587, Article 4587

2024

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Artificial Intelligence in Lung Imaging

Seminars in respiratory and critical care medicine, 2022-12, Vol.43 (6), p.946-960

2022

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Development of New End-Effector for Proof-of-Concept of Fully Robotic Multichannel Biopsy

IEEE/ASME transactions on mechatronics, 2015-12, Vol.20 (6), p.2996-3008

2015

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MRI for solitary pulmonary nodule and mass assessment: Current state of the art

Journal of magnetic resonance imaging, 2018-06, Vol.47 (6), p.1437-1458

2018

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Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer

Korean Journal of Radiology, 2019, 20(10), , pp.1431-1440

2019

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Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology

Korean Journal of Radiology, 2021, 22(11), , pp.1743-1748

2021

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Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network

Scientific reports, 2023-02, Vol.13 (1), p.2356-11, Article 2356

2023

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Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease

Scientific reports, 2021-07, Vol.11 (1), p.15144-15144, Article 15144

2021

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MRI-based 3D-printed surgical guides for breast cancer patients who received neoadjuvant chemotherapy

Scientific reports, 2019-08, Vol.9 (1), p.11991-6, Article 11991

2019

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Expanding Applications of Pulmonary MRI in the Clinical Evaluation of Lung Disorders: Fleischner Society Position Paper

Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses

Automatic reconstruction of the arterial and venous trees on volumetric chest CT

Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management: State of the art

Interstitial Lung Abnormalities at CT in the Korean National Lung Cancer Screening Program: Prevalence and Deep Learning-based Texture Analysis

Development of a patient-specific chest computed tomography imaging phantom with realistic lung lesions using silicone casting and three-dimensional printing

Interstitial lung abnormalities detected incidentally on CT: a Position Paper from the Fleischner Society

Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net

Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

Biopsy Needle Integrated with Electrical Impedance Sensing Microelectrode Array towards Real-time Needle Guidance and Tissue Discrimination

CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma

Design and Kinematic Analysis of a New End-Effector for a Robotic Needle Insertion-Type Intervention System

Multi-domain CT translation by a routable translation network

Development of a CT imaging phantom of anthromorphic lung using fused deposition modeling 3D printing

Artificial Intelligence in Health Care: Current Applications and Issues

Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease

Evaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease

Artificial Intelligence in Lung Imaging

Development of New End-Effector for Proof-of-Concept of Fully Robotic Multichannel Biopsy

MRI for solitary pulmonary nodule and mass assessment: Current state of the art

Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer

Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology

Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network

Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease

MRI-based 3D-printed surgical guides for breast cancer patients who received neoadjuvant chemotherapy

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