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Applications and limitations of machine learning in radiation oncology

British journal of radiology, 2019-08, Vol.92 (1100), p.20190001-20190001

2019

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Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring

Radiotherapy and oncology, 2020-01, Vol.142, p.115-123

2020

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Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer

Radiotherapy and oncology, 2018-02, Vol.126 (2), p.312-317

2018

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Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound‐guided liver radiotherapy margins

Medical physics (Lancaster), 2018-11, Vol.45 (11), p.4986-5003

2018

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Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

Medical physics (Lancaster), 2018-10, Vol.45 (10), p.4568-4581

2018

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Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation algorithm

Physics in medicine & biology, 2022-05, Vol.67 (11), p.115014

2022

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An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning

IEEE transactions on medical imaging, 2019-11, Vol.38 (11), p.2654-2664

2019

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An investigation into the risk of population bias in deep learning autocontouring

Radiotherapy and oncology, 2023-09, Vol.186, p.109747-109747, Article 109747

2023

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Beyond automatic medical image segmentation—the spectrum between fully manual and fully automatic delineation

Physics in medicine & biology, 2022-06, Vol.67 (12), p.12

2022

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Auto-Segmentation for Radiation Oncology: State of the Art

1, 2021

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Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy

Physics and imaging in radiation oncology, 2020-01, Vol.13, p.1-6

2020

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Clinical evaluation of atlas-based auto-segmentation in breast and nodal radiotherapy

British journal of radiology, 2023-09, Vol.96 (1149), p.20230040-20230040

2023

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Comparative evaluation of autocontouring in clinical practice: A practical method using the Turing test

Medical physics (Lancaster), 2018-11, Vol.45 (11), p.5105-5115

2018

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Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT

European journal of nuclear medicine and molecular imaging, 2020-11, Vol.47 (12), p.2742-2752

2020

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Is full-automation in radiotherapy treatment planning ready for take off?

Radiotherapy and oncology, 2024-12, Vol.201, p.110546, Article 110546

2024

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Fully automated radiotherapy treatment planning: A scan to plan challenge

Radiotherapy and oncology, 2024-11, Vol.200, p.110513, Article 110513

2024

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Deep learning-assisted interactive contouring of lung cancer: Impact on contouring time and consistency

Radiotherapy and oncology, 2024-11, Vol.200, p.110500, Article 110500

2024

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Interactive contouring through contextual deep learning

Medical physics (Lancaster), 2021-06, Vol.48 (6), p.2951-2959

2021

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Analytic calculations and synthetic shapes for validation of quantitative contour comparison software

Physics and imaging in radiation oncology, 2023-04, Vol.26, p.100436, Article 100436

2023

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External validation of deep learning-based contouring of head and neck organs at risk

Physics and imaging in radiation oncology, 2020-07, Vol.15, p.8-15

2020

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Multicenter comparison of measures for quantitative evaluation of contouring in radiotherapy

Physics and imaging in radiation oncology, 2022-10, Vol.24, p.152-158

2022

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Assessment of manual adjustment performed in clinical practice following deep learning contouring for head and neck organs at risk in radiotherapy

Physics and imaging in radiation oncology, 2020-10, Vol.16, p.54-60

2020

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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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Real-world analysis of manual editing of deep learning contouring in the thorax region

Physics and imaging in radiation oncology, 2022-04, Vol.22, p.104-110

2022

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Geometric and dosimetric analysis of CT- and MR-based automatic contouring for the EPTN contouring atlas in neuro-oncology

Physica medica, 2023-10, Vol.114, p.103156-103156, Article 103156

2023

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Applications and limitations of machine learning in radiation oncology

Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring

Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer

Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound‐guided liver radiotherapy margins

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation algorithm

An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning

An investigation into the risk of population bias in deep learning autocontouring

Beyond automatic medical image segmentation—the spectrum between fully manual and fully automatic delineation

Auto-Segmentation for Radiation Oncology: State of the Art

Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy

Clinical evaluation of atlas-based auto-segmentation in breast and nodal radiotherapy

Comparative evaluation of autocontouring in clinical practice: A practical method using the Turing test

Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT

Is full-automation in radiotherapy treatment planning ready for take off?

Fully automated radiotherapy treatment planning: A scan to plan challenge

Deep learning-assisted interactive contouring of lung cancer: Impact on contouring time and consistency

Interactive contouring through contextual deep learning

Analytic calculations and synthetic shapes for validation of quantitative contour comparison software

External validation of deep learning-based contouring of head and neck organs at risk

Multicenter comparison of measures for quantitative evaluation of contouring in radiotherapy

Assessment of manual adjustment performed in clinical practice following deep learning contouring for head and neck organs at risk in radiotherapy

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

Real-world analysis of manual editing of deep learning contouring in the thorax region

Geometric and dosimetric analysis of CT- and MR-based automatic contouring for the EPTN contouring atlas in neuro-oncology

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