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Artificial Intelligence in Radiation Oncology and Biomedical Physics

First edition., 2023

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Deep nets vs expert designed features in medical physics: An IMRT QA case study

Medical physics (Lancaster), 2018-06, Vol.45 (6), p.2672-2680

2018

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Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs

Frontiers in oncology, 2018-04, Vol.8, p.110-110

2018

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Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

Medical physics (Lancaster), 2018-07, Vol.45 (7), p.3449-3459

2018

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Integration of AI and Machine Learning in Radiotherapy QA

Frontiers in artificial intelligence, 2020-09, Vol.3, p.577620-577620

2020

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IMRT QA using machine learning: A multi‐institutional validation

Journal of applied clinical medical physics, 2017-09, Vol.18 (5), p.279-284

2017

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Predicting radiation pneumonitis in locally advanced stage II–III non-small cell lung cancer using machine learning

Radiotherapy and oncology, 2019-04, Vol.133, p.106-112

2019

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NSMCE2, a novel super-enhancer-regulated gene, is linked to poor prognosis and therapy resistance in breast cancer

BMC cancer, 2022-10, Vol.22 (1), p.1056-16, Article 1056

2022

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Preoperative and postoperative prediction of long-term meningioma outcomes

PloS one, 2018-09, Vol.13 (9), p.e0204161-e0204161

2018

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A situational awareness Bayesian network approach for accurate and credible personalized adaptive radiotherapy outcomes prediction in lung cancer patients

Physica medica, 2021-07, Vol.87, p.11-23

2021

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Comment on 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study'

Physics in medicine & biology, 2018-03, Vol.63 (6), p.068001

2018

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Artificial intelligence and machine learning for medical imaging: A technology review

Physica medica, 2021-03, Vol.83, p.242-256

2021

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Machine learning for radiation outcome modeling and prediction

Medical physics (Lancaster), 2020-06, Vol.47 (5), p.e178-e184

2020

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Artificial Intelligence-Guided Prediction of Dental Doses Before Planning of Radiation Therapy for Oropharyngeal Cancer: Technical Development and Initial Feasibility of Implementation

Advances in radiation oncology, 2022-03, Vol.7 (2), p.100886-100886, Article 100886

2022

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Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency

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

2022

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Targeted transfer learning to improve performance in small medical physics datasets

Medical physics (Lancaster), 2020-12, Vol.47 (12), p.6246-6256

2020

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Artificial intelligence for prediction of measurement‐based patient‐specific quality assurance is ready for prime time

Medical physics (Lancaster), 2021-06, Vol.48 (6), p.2701-2704

2021

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A unified path seeking algorithm for IMRT and IMPT beam orientation optimization

Physics in medicine & biology, 2023-10, Vol.68 (19), p.195011

2023

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The Conditional Super Learner

IEEE transactions on pattern analysis and machine intelligence, 2022-12, Vol.44 (12), p.10236-10243

2022

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Tumor control probability and the utility of 4D vs 3D dose calculations for stereotactic body radiotherapy for lung cancer

Medical dosimetry : official journal of the American Association of Medical Dosimetrists, 2015, Vol.40 (1), p.64-69

2015

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An unsupervised convolutional neural network-based algorithm for deformable image registration

Physics in medicine & biology, 2018-09, Vol.63 (18), p.185017-185017

2018

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Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health

Annual review of public health, 2022-04, Vol.43 (1), p.59-78

2022

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Prospective Clinical Validation of Virtual Patient-Specific Quality Assurance of Volumetric Modulated Arc Therapy Radiation Therapy Plans

International journal of radiation oncology, biology, physics, 2022-08, Vol.113 (5), p.1091-1102

2022

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Predicting successful clinical candidates for fiducial‐free lung tumor tracking with a deep learning binary classification model

Journal of applied clinical medical physics, 2023-12, Vol.24 (12), p.e14146-n/a

2023

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Artificial Intelligence in Radiation Oncology and Biomedical Physics

Deep nets vs expert designed features in medical physics: An IMRT QA case study

Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

Integration of AI and Machine Learning in Radiotherapy QA

IMRT QA using machine learning: A multi‐institutional validation

Predicting radiation pneumonitis in locally advanced stage II–III non-small cell lung cancer using machine learning

NSMCE2, a novel super-enhancer-regulated gene, is linked to poor prognosis and therapy resistance in breast cancer

Preoperative and postoperative prediction of long-term meningioma outcomes

Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival

A situational awareness Bayesian network approach for accurate and credible personalized adaptive radiotherapy outcomes prediction in lung cancer patients

Comment on 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study'

Artificial intelligence and machine learning for medical imaging: A technology review

Machine learning for radiation outcome modeling and prediction

Artificial Intelligence-Guided Prediction of Dental Doses Before Planning of Radiation Therapy for Oropharyngeal Cancer: Technical Development and Initial Feasibility of Implementation

Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency

Targeted transfer learning to improve performance in small medical physics datasets

Artificial intelligence for prediction of measurement‐based patient‐specific quality assurance is ready for prime time

A unified path seeking algorithm for IMRT and IMPT beam orientation optimization

The Conditional Super Learner

Tumor control probability and the utility of 4D vs 3D dose calculations for stereotactic body radiotherapy for lung cancer

An unsupervised convolutional neural network-based algorithm for deformable image registration

Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health

Prospective Clinical Validation of Virtual Patient-Specific Quality Assurance of Volumetric Modulated Arc Therapy Radiation Therapy Plans

Predicting successful clinical candidates for fiducial‐free lung tumor tracking with a deep learning binary classification model

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