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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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3D Slicer as an image computing platform for the Quantitative Imaging Network

Magnetic resonance imaging, 2012-11, Vol.30 (9), p.1323-1341

2012

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Graph-Based IVUS Segmentation With Efficient Computer-Aided Refinement

IEEE transactions on medical imaging, 2013-08, Vol.32 (8), p.1536-1549

2013

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FDG PET based prediction of response in head and neck cancer treatment: Assessment of new quantitative imaging features

PloS one, 2019-04, Vol.14 (4), p.e0215465

2019

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The fractal geometry of bronchial trees differs by strain in mice

Journal of applied physiology (1985), 2020-02, Vol.128 (2), p.362-367

2020

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Machine learning with the TCGA-HNSC dataset: improving usability by addressing inconsistency, sparsity, and high-dimensionality

BMC bioinformatics, 2019-06, Vol.20 (1), p.339-9, Article 339

2019

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Graph-Based Airway Tree Reconstruction From Chest CT Scans: Evaluation of Different Features on Five Cohorts

IEEE transactions on medical imaging, 2015-05, Vol.34 (5), p.1063-1076

2015

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An Approach for Reducing the Error Rate in Automated Lung Segmentation

Computers in biology and medicine, 2016-09, Vol.76, p.143-153

2016

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Airway tree reconstruction in expiration chest CT scans facilitated by information transfer from corresponding inspiration scans

Medical physics (Lancaster), 2016-03, Vol.43 (3), p.1312-1323

2016

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lapdMouse: associating lung anatomy with local particle deposition in mice

Journal of applied physiology (1985), 2020-02, Vol.128 (2), p.309-323

2020

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DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research

PeerJ (San Francisco, CA), 2016-05, Vol.4, p.e2057, Article e2057

2016

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A method for avoiding overlap of left and right lungs in shape model guided segmentation of lungs in CT volumes

Medical physics (Lancaster), 2014-10, Vol.41 (10), p.101908-n/a

2014

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Quantification of uptake in pelvis F‐18 FLT PET‐CT images using a 3D localization and segmentation CNN

Medical physics (Lancaster), 2022-03, Vol.49 (3), p.1585-1598

2022

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Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts

Medical image analysis, 2010-04, Vol.14 (2), p.172-184

2010

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Lumbar and Thoracic Vertebrae Segmentation in CT Scans Using a 3D Multi-Object Localization and Segmentation CNN

Tomography (Ann Arbor), 2024-05, Vol.10 (5), p.738-760

2024

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A Bayesian framework for performance assessment and comparison of imaging biomarker quantification methods

Statistical methods in medical research, 2019-04, Vol.28 (4), p.1003-1018

2019

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A unified framework for simultaneous assessment of accuracy, between-, and within-reader variability of image segmentations

Statistical methods in medical research, 2020-11, Vol.29 (11), p.3135-3152

2020

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Automated model‐based quantitative analysis of phantoms with spherical inserts in FDG PET scans

Medical physics (Lancaster), 2018-01, Vol.45 (1), p.258-276

2018

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Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy

IEEE transactions on medical imaging, 2012-11, Vol.31 (11), p.2006-2024

2012

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Stensen's Duct Dynamic Anatomy Assessed with Sialography

Ear, nose, & throat journal, 2024-08, p.1455613241272451

2024

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Computer-aided lymph node segmentation in volumetric CT data

Medical physics (Lancaster), 2012-09, Vol.39 (9), p.5419-5428

2012

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Head and Neck Cancer Segmentation in FDG PET Images: Performance Comparison of Convolutional Neural Networks and Vision Transformers

Tomography (Ann Arbor), 2023-10, Vol.9 (5), p.1933-1948

2023

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Chest wall strapping increases expiratory airflow and detectable airway segments in computer tomographic scans of normal and obstructed lungs

Journal of applied physiology (1985), 2018-05, Vol.124 (5), p.1186-1193

2018

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Semiautomated segmentation of head and neck cancers in 18F-FDG PET scans: A just-enough-interaction approach

Medical physics (Lancaster), 2016-06, Vol.43 (6), p.2948-2964

2016

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A 3D deep convolutional neural network approach for the automated measurement of cerebellum tracer uptake in FDG PET‐CT scans

Medical physics (Lancaster), 2020-03, Vol.47 (3), p.1058-1066

2020

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

3D Slicer as an image computing platform for the Quantitative Imaging Network

Graph-Based IVUS Segmentation With Efficient Computer-Aided Refinement

FDG PET based prediction of response in head and neck cancer treatment: Assessment of new quantitative imaging features

The fractal geometry of bronchial trees differs by strain in mice

Machine learning with the TCGA-HNSC dataset: improving usability by addressing inconsistency, sparsity, and high-dimensionality

Graph-Based Airway Tree Reconstruction From Chest CT Scans: Evaluation of Different Features on Five Cohorts

An Approach for Reducing the Error Rate in Automated Lung Segmentation

Airway tree reconstruction in expiration chest CT scans facilitated by information transfer from corresponding inspiration scans

lapdMouse: associating lung anatomy with local particle deposition in mice

DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research

A method for avoiding overlap of left and right lungs in shape model guided segmentation of lungs in CT volumes

Quantification of uptake in pelvis F‐18 FLT PET‐CT images using a 3D localization and segmentation CNN

Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts

Lumbar and Thoracic Vertebrae Segmentation in CT Scans Using a 3D Multi-Object Localization and Segmentation CNN

A Bayesian framework for performance assessment and comparison of imaging biomarker quantification methods

A unified framework for simultaneous assessment of accuracy, between-, and within-reader variability of image segmentations

Automated model‐based quantitative analysis of phantoms with spherical inserts in FDG PET scans

Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy

Stensen's Duct Dynamic Anatomy Assessed with Sialography

Computer-aided lymph node segmentation in volumetric CT data

Head and Neck Cancer Segmentation in FDG PET Images: Performance Comparison of Convolutional Neural Networks and Vision Transformers

Chest wall strapping increases expiratory airflow and detectable airway segments in computer tomographic scans of normal and obstructed lungs

Semiautomated segmentation of head and neck cancers in 18F-FDG PET scans: A just-enough-interaction approach

A 3D deep convolutional neural network approach for the automated measurement of cerebellum tracer uptake in FDG PET‐CT scans

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