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Thoracic Image Analysis: Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

1st Edition 2020, 2020

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Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1160-1169

2016

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Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

Medical image analysis, 2017-12, Vol.42, p.1-13

2017

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Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

Radiology, 2021-01, Vol.298 (1), p.E18-E28

2021

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Decoding pulmonary nodules: can machine learning enhance malignancy risk stratification?

Thorax, 2024-01, Vol.79 (4), p.293

Jacobs, Colin

2024

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Challenges and outlook in the management of pulmonary nodules detected on CT

European radiology, 2024-01, Vol.34 (1), p.247-249

Jacobs, Colin

2024

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Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database

European radiology, 2016-07, Vol.26 (7), p.2139-2147

2016

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Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.286-289

2015

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Emphysema subtyping on thoracic computed tomography scans using deep neural networks

Scientific reports, 2023-08, Vol.13 (1), p.14147-14147, Article 14147

2023

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Lung cancer screening by nodule volume in Lung-RADS v1.1: negative baseline CT yields potential for increased screening interval

European radiology, 2021-04, Vol.31 (4), p.1956-1968

2021

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The AGEL Survey: Spectroscopic Confirmation of Strong Gravitational Lenses in the DES and DECaLS Fields Selected Using Convolutional Neural Networks

The Astronomical journal, 2022-10, Vol.164 (4), p.148

2022

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Resolved Velocity Profiles of Galactic Winds at Cosmic Noon

The Astrophysical journal, 2023-12, Vol.959 (2), p.124

2023

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Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial

European radiology, 2015-10, Vol.25 (10), p.3093-3099

2015

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Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines

European radiology, 2017-10, Vol.27 (10), p.4019-4029

2017

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Benthic Assemblages of the Anton Dohrn Seamount (NE Atlantic): Defining Deep-Sea Biotopes to Support Habitat Mapping and Management Efforts with a Focus on Vulnerable Marine Ecosystems

PloS one, 2015-05, Vol.10 (5), p.e0124815-e0124815

2015

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Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules?

The European respiratory journal, 2015-03, Vol.45 (3), p.765-773

2015

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A Glimpse of the Stellar Populations and Elemental Abundances of Gravitationally Lensed, Quiescent Galaxies at z ≳ 1 with Keck Deep Spectroscopy

The Astrophysical journal, 2023-05, Vol.948 (2), p.132

2023

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Early Results from GLASS-JWST. XVI. Discovering a Bluer z ∼ 4–7 Universe through UV Slopes

Astrophysical journal. Letters, 2023-04, Vol.947 (2), p.L26

2023

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Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances

PloS one, 2019-02, Vol.14 (2), p.e0212756-e0212756

2019

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Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation

European radiology, 2015-02, Vol.25 (2), p.488-496

2015

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Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality

PloS one, 2017-12, Vol.12 (12), p.e0188902-e0188902

2017

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Visual discrimination of screen-detected persistent from transient subsolid nodules: An observer study

PloS one, 2018-02, Vol.13 (2), p.e0191874-e0191874

2018

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Computer-aided segmentation and volumetry of artificial ground-glass nodules at chest CT

American journal of roentgenology (1976), 2013-08, Vol.201 (2), p.295

2013

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Normal range of emphysema and air trapping on CT in young men

American journal of roentgenology (1976), 2012-08, Vol.199 (2), p.336

2012

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Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans

Communications medicine, 2023-10, Vol.3 (1), p.156-156, Article 156

2023

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Thoracic Image Analysis: Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

Decoding pulmonary nodules: can machine learning enhance malignancy risk stratification?

Challenges and outlook in the management of pulmonary nodules detected on CT

Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database

Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans

Emphysema subtyping on thoracic computed tomography scans using deep neural networks

Lung cancer screening by nodule volume in Lung-RADS v1.1: negative baseline CT yields potential for increased screening interval

The AGEL Survey: Spectroscopic Confirmation of Strong Gravitational Lenses in the DES and DECaLS Fields Selected Using Convolutional Neural Networks

Resolved Velocity Profiles of Galactic Winds at Cosmic Noon

Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial

Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines

Benthic Assemblages of the Anton Dohrn Seamount (NE Atlantic): Defining Deep-Sea Biotopes to Support Habitat Mapping and Management Efforts with a Focus on Vulnerable Marine Ecosystems

Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules?

A Glimpse of the Stellar Populations and Elemental Abundances of Gravitationally Lensed, Quiescent Galaxies at z ≳ 1 with Keck Deep Spectroscopy

Early Results from GLASS-JWST. XVI. Discovering a Bluer z ∼ 4–7 Universe through UV Slopes

Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances

Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation

Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality

Visual discrimination of screen-detected persistent from transient subsolid nodules: An observer study

Computer-aided segmentation and volumetry of artificial ground-glass nodules at chest CT

Normal range of emphysema and air trapping on CT in young men

Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans

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