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Prognostic Value and Reproducibility of Pretreatment CT Texture Features in Stage III Non-Small Cell Lung Cancer

International journal of radiation oncology, biology, physics, 2014-11, Vol.90 (4), p.834-842

2014

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The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis

Medical physics (Lancaster), 2018-11, Vol.45 (11), p.5317-5324

2018

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Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients

PloS one, 2019-09, Vol.14 (9), p.e0222509

2019

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Development and Validation of a Predictive Radiomics Model for Clinical Outcomes in Stage I Non-small Cell Lung Cancer

International journal of radiation oncology, biology, physics, 2018-11, Vol.102 (4), p.1090-1097

2018

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Dose to Larynx Predicts for Swallowing Complications After Intensity-Modulated Radiotherapy

International journal of radiation oncology, biology, physics, 2008-11, Vol.72 (4), p.1110-1118

2008

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Effects of alterations in positron emission tomography imaging parameters on radiomics features

PloS one, 2019-09, Vol.14 (9), p.e0221877-e0221877

2019

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Development and validation of a rapid and robust method to determine visceral adipose tissue volume using computed tomography images

PloS one, 2017-08, Vol.12 (8), p.e0183515-e0183515

2017

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Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system

International journal of radiation oncology, biology, physics, 2004-07, Vol.59 (4), p.960-970

2004

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Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis

Computerized medical imaging and graphics, 2018-11, Vol.69, p.134-139

2018

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The feasibility of endoscopy-CT image registration in the head and neck without prospective endoscope tracking

PloS one, 2017-05, Vol.12 (5), p.e0177886-e0177886

2017

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Differences in Normal Tissue Response in the Esophagus Between Proton and Photon Radiation Therapy for Non-Small Cell Lung Cancer Using In Vivo Imaging Biomarkers

International journal of radiation oncology, biology, physics, 2017-11, Vol.99 (4), p.1013-1020

2017

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Statistical Modeling Approach to Quantitative Analysis of Interobserver Variability in Breast Contouring

International journal of radiation oncology, biology, physics, 2014-05, Vol.89 (1), p.214-221

2014

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A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images

European radiology, 2018-06, Vol.28 (6), p.2255-2263

2018

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Stage III Non-Small Cell Lung Cancer: Prognostic Value of FDG PET Quantitative Imaging Features Combined with Clinical Prognostic Factors

Radiology, 2016-01, Vol.278 (1), p.214-222

2016

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Automatic contouring system for cervical cancer using convolutional neural networks

Medical physics (Lancaster), 2020-11, Vol.47 (11), p.5648-5658

2020

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Absorbed radiation dose in radiosensitive organs during coronary CT angiography using 320-MDCT: effect of maximum tube voltage and heart rate variations

American journal of roentgenology (1976), 2010-12, Vol.195 (6), p.1347-1354

2010

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Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers

Medical physics (Lancaster), 2023-11, Vol.50 (11), p.6639-6648

2023

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Predictive modeling using shape statistics for interpretable and robust quality assurance of automated contours in radiation treatment planning

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2023, Vol.28, p.395

2023

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Automatic end‐to‐end VMAT treatment planning for rectal cancers

Journal of applied clinical medical physics, 2024-04, Vol.25 (4), p.e14259-n/a

2024

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(18)F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation Therapy

International journal of radiation oncology, biology, physics, 2016-11, Vol.96 (3), p.670

2016

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Potential Use of (18)F-fluorodeoxyglucose Positron Emission Tomography-Based Quantitative Imaging Features for Guiding Dose Escalation in Stage III Non-Small Cell Lung Cancer

International journal of radiation oncology, biology, physics, 2016-02, Vol.94 (2), p.368-376

2016

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Artificial Intelligence-Based Radiotherapy Contouring and Planning to Improve Global Access to Cancer Care

JCO global oncology, 2024-03, Vol.10 (10), p.e2300376-e2300376

2024

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Optimization of autogenerated chest-wall radiation treatment plans developed for postmastectomy breast cancer patients in underserved clinics

Medical dosimetry : official journal of the American Association of Medical Dosimetrists, 2020, Vol.45 (1), p.102-107

2020

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The Incremental Value of Subjective and Quantitative Assessment of 18F-FDG PET for the Prediction of Pathologic Complete Response to Preoperative Chemoradiotherapy in Esophageal Cancer

The Journal of nuclear medicine (1978), 2016-05, Vol.57 (5), p.691-700

2016

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Prognostic Value and Reproducibility of Pretreatment CT Texture Features in Stage III Non-Small Cell Lung Cancer

The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis

Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients

Development and Validation of a Predictive Radiomics Model for Clinical Outcomes in Stage I Non-small Cell Lung Cancer

Dose to Larynx Predicts for Swallowing Complications After Intensity-Modulated Radiotherapy

Effects of alterations in positron emission tomography imaging parameters on radiomics features

Development and validation of a rapid and robust method to determine visceral adipose tissue volume using computed tomography images

Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms

Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system

Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis

The feasibility of endoscopy-CT image registration in the head and neck without prospective endoscope tracking

Differences in Normal Tissue Response in the Esophagus Between Proton and Photon Radiation Therapy for Non-Small Cell Lung Cancer Using In Vivo Imaging Biomarkers

Statistical Modeling Approach to Quantitative Analysis of Interobserver Variability in Breast Contouring

A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images

Stage III Non-Small Cell Lung Cancer: Prognostic Value of FDG PET Quantitative Imaging Features Combined with Clinical Prognostic Factors

Automatic contouring system for cervical cancer using convolutional neural networks

Absorbed radiation dose in radiosensitive organs during coronary CT angiography using 320-MDCT: effect of maximum tube voltage and heart rate variations

Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers

Predictive modeling using shape statistics for interpretable and robust quality assurance of automated contours in radiation treatment planning

Automatic end‐to‐end VMAT treatment planning for rectal cancers

(18)F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation Therapy

Potential Use of (18)F-fluorodeoxyglucose Positron Emission Tomography-Based Quantitative Imaging Features for Guiding Dose Escalation in Stage III Non-Small Cell Lung Cancer

Artificial Intelligence-Based Radiotherapy Contouring and Planning to Improve Global Access to Cancer Care

Optimization of autogenerated chest-wall radiation treatment plans developed for postmastectomy breast cancer patients in underserved clinics

The Incremental Value of Subjective and Quantitative Assessment of 18F-FDG PET for the Prediction of Pathologic Complete Response to Preoperative Chemoradiotherapy in Esophageal Cancer

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