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Machine and deep learning methods for radiomics

Medical physics (Lancaster), 2020-06, Vol.47 (5), p.e185-e202

2020

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A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features

Physics and imaging in radiation oncology, 2021-10, Vol.20, p.69-75

2021

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Automatic recognition and analysis of metal streak artifacts in head and neck computed tomography for radiomics modeling

Physics and imaging in radiation oncology, 2019-04, Vol.10, p.49-54

2019

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Tumor response prediction in 90Y radioembolization with PET-based radiomics features and absorbed dose metrics

EJNMMI physics, 2020-12, Vol.7 (1), p.74-74, Article 74

2020

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Study on AlGaN P-I-N-I-N solar-blind avalanche photodiodes with Al0.45Ga0.55N multiplication layer

Electronic Materials Letters, 2015, 11(6), , pp.1053-1058

2015

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Artificial Intelligence for Response Evaluation With PET/CT

Seminars in nuclear medicine, 2021-03, Vol.51 (2), p.157-169

2021

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Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling

BJR open, 2019-11, Vol.1 (1), p.20190021-20190021

2019

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AI for Response Evaluation with PET/CT

Seminars in nuclear medicine, 2020-11, Vol.51 (2), p.157-169

2020

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Machine learning for radiomics-based multimodality and multiparametric modeling

The quarterly journal of nuclear medicine and molecular imaging, 2019-12, Vol.63 (4), p.323

2019

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Abstract PO-041: Shape features predicting intrahepatic progression-free and overall survival for SBRT treated HCC patients using radiomics and deep learning based survival models

Clinical cancer research, 2021-03, Vol.27 (5_Supplement), p.PO-041-PO-041

2021

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The Promise and Future of Radiomics for Personalized Radiotherapy Dosing and Adaptation

Seminars in radiation oncology, 2023-07, Vol.33 (3), p.252-261

2023

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Interpretable artificial intelligence in radiology and radiation oncology

British journal of radiology, 2023-10, Vol.96 (1150), p.20230142-20230142

2023

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Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration

British journal of radiology, 2023-10, Vol.96 (1150), p.20230211-20230211

2023

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Current status and future developments in predicting outcomes in radiation oncology

British journal of radiology, 2022-10, Vol.95 (1139), p.20220239-20220239

2022

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The Effect of Stereotactic Body Radiation Therapy for Hepatocellular Cancer on Regional Hepatic Liver Function

International journal of radiation oncology, biology, physics, 2023-03, Vol.115 (3), p.794-802

2023

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Machine Learning and Imaging Informatics in Oncology

Oncology, 2020-06, Vol.98 (6), p.344-362

2020

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Deep learning prediction of post-SBRT liver function changes and NTCP modeling in hepatocellular carcinoma based on DGAE-MRI

Medical physics (Lancaster), 2023-09, Vol.50 (9), p.5597-5608

2023

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A deep survival interpretable radiomics model of hepatocellular carcinoma patients

Physica medica, 2021-02, Vol.82, p.295-305

2021

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Medical Image Analytics (Radiomics) with Machine/Deeping Learning for Outcome Modeling in Radiation Oncology

Wei, Lise

2020

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PET/CT-Based Absorbed Dose Maps in 90 Y Selective Internal Radiation Therapy Correlate with Spatial Changes in Liver Function Derived from Dynamic MRI

Journal of Nuclear Medicine, 2024-08, Vol.65 (8), p.1224-1230

2024

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Radiomics in precision medicine for lung cancer

Translational lung cancer research, 2017-12, Vol.6 (6), p.635-647

2017

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Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

EJNMMI physics, 2020-12, Vol.7 (1), p.74

2020

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Fundamentals of Radiomics in Nuclear Medicine and Hybrid Imaging

Basic Sciences of Nuclear Medicine, p.441-469

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Feature extraction and qualification

Radiomics and Radiogenomics, 2019, p.121-149

1, 2019

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Allele-specific copy number analysis of tumors

Proceedings of the National Academy of Sciences - PNAS, 2010-09, Vol.107 (39), p.16910-16915

2010

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Machine and deep learning methods for radiomics

A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features

Automatic recognition and analysis of metal streak artifacts in head and neck computed tomography for radiomics modeling

Tumor response prediction in 90Y radioembolization with PET-based radiomics features and absorbed dose metrics

Study on AlGaN P-I-N-I-N solar-blind avalanche photodiodes with Al0.45Ga0.55N multiplication layer

Artificial Intelligence for Response Evaluation With PET/CT

Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling

AI for Response Evaluation with PET/CT

Machine learning for radiomics-based multimodality and multiparametric modeling

Abstract PO-041: Shape features predicting intrahepatic progression-free and overall survival for SBRT treated HCC patients using radiomics and deep learning based survival models

The Promise and Future of Radiomics for Personalized Radiotherapy Dosing and Adaptation

Interpretable artificial intelligence in radiology and radiation oncology

Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration

Current status and future developments in predicting outcomes in radiation oncology

The Effect of Stereotactic Body Radiation Therapy for Hepatocellular Cancer on Regional Hepatic Liver Function

Machine Learning and Imaging Informatics in Oncology

Deep learning prediction of post-SBRT liver function changes and NTCP modeling in hepatocellular carcinoma based on DGAE-MRI

A deep survival interpretable radiomics model of hepatocellular carcinoma patients

Medical Image Analytics (Radiomics) with Machine/Deeping Learning for Outcome Modeling in Radiation Oncology

PET/CT-Based Absorbed Dose Maps in 90 Y Selective Internal Radiation Therapy Correlate with Spatial Changes in Liver Function Derived from Dynamic MRI

Radiomics in precision medicine for lung cancer

Tumor response prediction in 90 Y radioembolization with PET-based radiomics features and absorbed dose metrics

Fundamentals of Radiomics in Nuclear Medicine and Hybrid Imaging

Feature extraction and qualification

Allele-specific copy number analysis of tumors

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