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Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

Radiotherapy and oncology, 2018-12, Vol.129 (3), p.421-426

2018

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Combination Chemotherapy Optimization with Discrete Dosing

INFORMS journal on computing, 2024-03, Vol.36 (2), p.434-455

2024

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Corrigendum to “The Use of MR-Guided Radiation Therapy for Head and Neck Cancer and Recommended Reporting Guidance” Seminars in Radiation Oncology Volume 34 (2024) 69-83

Seminars in radiation oncology, 2024-07, Vol.34 (3), p.365-365

2024

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Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks

Physics in medicine & biology, 2018-11, Vol.63 (21), p.215026-215026

2018

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Radiomics in head and neck cancer: from exploration to application

Translational cancer research, 2016-08, Vol.5 (4), p.371-382

2016

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Exploring Applications of Radiomics in Magnetic Resonance Imaging of Head and Neck Cancer: A Systematic Review

Frontiers in oncology, 2018-05, Vol.8, p.131

2018

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A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma

Scientific reports, 2019-02, Vol.9 (1), p.1322-1322, Article 1322

2019

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Long‐term outcomes of modern multidisciplinary management of sinonasal cancers: The M. D. Anderson experience

Head & neck, 2023-07, Vol.45 (7), p.1692-1703

2023

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Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies

Scientific reports, 2018-08, Vol.8 (1), p.13047-14, Article 13047

2018

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Editorial: Online Adaptive MR-Guided Radiotherapy

Frontiers in oncology, 2021-08, Vol.11, p.748685-748685

2021

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Multi-organ spatial stratification of 3-D dose distributions improves risk prediction of long-term self-reported severe symptoms in oropharyngeal cancer patients receiving radiotherapy: development of a pre-treatment decision support tool

Frontiers in oncology, 2023-08, Vol.13, p.1210087

2023

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The MRI-Linear Accelerator Consortium: Evidence-Based Clinical Introduction of an Innovation in Radiation Oncology Connecting Researchers, Methodology, Data Collection, Quality Assurance, and Technical Development

Frontiers in oncology, 2016-10, Vol.6, p.215-215

2016

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First-in-Human Hyperpolarized MRI for Tumor Metabolism in HNSCC

JAMA otolaryngology-- head & neck surgery, 2024-07, Vol.150 (7), p.628

2024

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Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow

Journal of digital imaging, 2021-06, Vol.34 (3), p.541-553

2021

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R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology

Frontiers in oncology, 2017-04, Vol.7, p.59-59

2017

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Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer

International journal of radiation oncology, biology, physics, 2024-08

2024

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Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification

International journal of radiation oncology, biology, physics, 2024-08, Vol.119 (5), p.1569-1578

2024

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Artificial intelligence uncertainty quantification in radiotherapy applications − A scoping review

Radiotherapy and oncology, 2024-12, Vol.201, p.110542, Article 110542

2024

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Patterns of Symptom Burden During Radiotherapy or Concurrent Chemoradiotherapy for Head and Neck Cancer

Cancer, 2014-07, Vol.120 (13), p.1975-1984

2014

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A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy

Radiotherapy and oncology, 2024-08, Vol.197, p.110345, Article 110345

2024

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Multi‐modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers

Medical physics (Lancaster), 2024-06

2024

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Author Correction: Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer

Scientific reports, 2021-09, Vol.11 (1), p.18908-18908, Article 18908

2021

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Artificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review

Journal of pain and symptom management, 2024-08

2024

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Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry

Clinical and translational radiation oncology, 2022-01, Vol.32, p.6-14

2022

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Establishment and Validation of Pre-Therapy Cervical Vertebrae Muscle Quantification as a Prognostic Marker of Sarcopenia in Patients With Head and Neck Cancer

Frontiers in oncology, 2022-02, Vol.12, p.812159-812159

2022

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Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

Combination Chemotherapy Optimization with Discrete Dosing

Corrigendum to “The Use of MR-Guided Radiation Therapy for Head and Neck Cancer and Recommended Reporting Guidance” Seminars in Radiation Oncology Volume 34 (2024) 69-83

Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks

Radiomics in head and neck cancer: from exploration to application

Exploring Applications of Radiomics in Magnetic Resonance Imaging of Head and Neck Cancer: A Systematic Review

A PET Radiomics Model to Predict Refractory Mediastinal Hodgkin Lymphoma

Long‐term outcomes of modern multidisciplinary management of sinonasal cancers: The M. D. Anderson experience

Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies

Editorial: Online Adaptive MR-Guided Radiotherapy

Multi-organ spatial stratification of 3-D dose distributions improves risk prediction of long-term self-reported severe symptoms in oropharyngeal cancer patients receiving radiotherapy: development of a pre-treatment decision support tool

The MRI-Linear Accelerator Consortium: Evidence-Based Clinical Introduction of an Innovation in Radiation Oncology Connecting Researchers, Methodology, Data Collection, Quality Assurance, and Technical Development

First-in-Human Hyperpolarized MRI for Tumor Metabolism in HNSCC

Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow

R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer

Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification

Artificial intelligence uncertainty quantification in radiotherapy applications − A scoping review

Patterns of Symptom Burden During Radiotherapy or Concurrent Chemoradiotherapy for Head and Neck Cancer

A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy

Multi‐modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers

Author Correction: Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer

Artificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review

Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry

Establishment and Validation of Pre-Therapy Cervical Vertebrae Muscle Quantification as a Prognostic Marker of Sarcopenia in Patients With Head and Neck Cancer

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