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Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis

Frontiers in oncology, 2019-04, Vol.9, p.269-269

2019

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Multi-omics deep learning for radiation pneumonitis prediction in lung cancer patients underwent volumetric modulated arc therapy

Computer methods and programs in biomedicine, 2024-09, Vol.254, p.108295, Article 108295

2024

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Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential

Frontiers in oncology, 2022-02, Vol.12, p.773840-773840

2022

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Texture analysis of 3D dose distributions for predictive modelling of toxicity rates in radiotherapy

Radiotherapy and oncology, 2018-12, Vol.129 (3), p.548-553

2018

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Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia

Frontiers in oncology, 2018-03, Vol.8, p.35-35

2018

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A nomogram based on pretreatment radiomics and dosiomics features for predicting overall survival associated with esophageal squamous cell cancer

European journal of surgical oncology, 2024-07, Vol.50 (7), p.108450, Article 108450

2024

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Improvement of prediction and classification performance for gamma passing rate by using plan complexity and dosiomics features

Radiotherapy and oncology, 2020-12, Vol.153, p.250-257

2020

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Synergizing the interaction of single nucleotide polymorphisms with dosiomics features to build a dual-omics model for the prediction of radiation pneumonitis

Radiotherapy and oncology, 2024-07, Vol.196, p.110261-110261, Article 110261

2024

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Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy

Physics in medicine & biology, 2020-10, Vol.65 (19), p.195015-195015

2020

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Combined deep learning and radiomics in pretreatment radiation esophagitis prediction for patients with esophageal cancer underwent volumetric modulated arc therapy

Radiotherapy and oncology, 2024-10, Vol.199, p.110438, Article 110438

2024

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Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy

Frontiers in oncology, 2022-01, Vol.11, p.792024-792024

2022

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Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model

Frontiers in oncology, 2020-01, Vol.9, p.1500-1500

2020

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Review of Radiomics- and Dosiomics-based Predicting Models for Rectal Cancer

Frontiers in oncology, 2022-08, Vol.12, p.913683-913683

2022

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Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients

Frontiers in pharmacology, 2022-09, Vol.13, p.971849-971849

2022

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CT-based dosiomics and radiomics model predicts radiation-induced lymphopenia in nasopharyngeal carcinoma patients

Frontiers in oncology, 2023-10, Vol.13, p.1168995-1168995

2023

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Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases

Oral oncology, 2020-05, Vol.104, p.104625-104625, Article 104625

2020

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Multi‐institutional dose‐segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy

Medical physics (Lancaster), 2021-04, Vol.48 (4), p.1781-1791

2021

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Dosiomics-based prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma patients

Physica medica, 2021-09, Vol.89, p.219-225

2021

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Dosiomics and radiomics-based prediction of pneumonitis after radiotherapy and immune checkpoint inhibition: The relevance of fractionation

Lung cancer (Amsterdam, Netherlands), 2024-03, Vol.189, p.107507-107507, Article 107507

2024

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Comprehensive prognostic modeling of locoregional recurrence after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma

Frontiers in oncology, 2023-03, Vol.13, p.1129918-1129918

2023

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Dosiomics for intensity-modulated radiotherapy in patients with prostate cancer: survival analysis stratified by baseline prostate-specific antigen and Gleason grade group in a 2-institutional retrospective study

British journal of radiology, 2024-01, Vol.97 (1153), p.142-149

2024

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Dosiomics and radiomics to predict pneumonitis after thoracic stereotactic body radiotherapy and immune checkpoint inhibition

Frontiers in oncology, 2023-03, Vol.13, p.1124592-1124592

2023

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Radiomic- and dosiomic-based clustering development for radio-induced neurotoxicity in pediatric medulloblastoma

Child's nervous system, 2024-08, Vol.40 (8), p.2301-2310

2024

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Analysis of the risk factors of radiation pneumonitis and the predictive ability of dosiomics in non-small-cell lung cancer

Future oncology (London, England), 2023-10, Vol.19 (32), p.2157-2169

2023

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Radiomics and dosiomics-based prediction of radiotherapy-induced xerostomia in head and neck cancer patients

International journal of radiation biology, 2023-11, Vol.ahead-of-print (ahead-of-print), p.1-15

2023

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Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis

Multi-omics deep learning for radiation pneumonitis prediction in lung cancer patients underwent volumetric modulated arc therapy

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential

Texture analysis of 3D dose distributions for predictive modelling of toxicity rates in radiotherapy

Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia

A nomogram based on pretreatment radiomics and dosiomics features for predicting overall survival associated with esophageal squamous cell cancer

Improvement of prediction and classification performance for gamma passing rate by using plan complexity and dosiomics features

Synergizing the interaction of single nucleotide polymorphisms with dosiomics features to build a dual-omics model for the prediction of radiation pneumonitis

Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy

Combined deep learning and radiomics in pretreatment radiation esophagitis prediction for patients with esophageal cancer underwent volumetric modulated arc therapy

Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy

Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model

Review of Radiomics- and Dosiomics-based Predicting Models for Rectal Cancer

Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients

CT-based dosiomics and radiomics model predicts radiation-induced lymphopenia in nasopharyngeal carcinoma patients

Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases

Multi‐institutional dose‐segmented dosiomic analysis for predicting radiation pneumonitis after lung stereotactic body radiation therapy

Dosiomics-based prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma patients

Dosiomics and radiomics-based prediction of pneumonitis after radiotherapy and immune checkpoint inhibition: The relevance of fractionation

Comprehensive prognostic modeling of locoregional recurrence after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma

Dosiomics for intensity-modulated radiotherapy in patients with prostate cancer: survival analysis stratified by baseline prostate-specific antigen and Gleason grade group in a 2-institutional retrospective study

Dosiomics and radiomics to predict pneumonitis after thoracic stereotactic body radiotherapy and immune checkpoint inhibition

Radiomic- and dosiomic-based clustering development for radio-induced neurotoxicity in pediatric medulloblastoma

Analysis of the risk factors of radiation pneumonitis and the predictive ability of dosiomics in non-small-cell lung cancer

Radiomics and dosiomics-based prediction of radiotherapy-induced xerostomia in head and neck cancer patients

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