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Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images

IEEE transactions on medical imaging, 2019-01, Vol.38 (1), p.134-144

2019

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Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, 2018-09, p.777-785

2018

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Radiation Dose–Volume Effects in Radiation-Induced Rectal Injury

International journal of radiation oncology, biology, physics, 2010-03, Vol.76 (3), p.S123-S129

2010

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Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

Proceedings of the National Academy of Sciences - PNAS, 2015-11, Vol.112 (46), p.E6265-E6273

2015

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Radiotherapy Dose–Volume Effects on Salivary Gland Function

International journal of radiation oncology, biology, physics, 2010-03, Vol.76 (3), p.S58-S63

2010

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Use of Normal Tissue Complication Probability Models in the Clinic

International journal of radiation oncology, biology, physics, 2010-03, Vol.76 (3), p.S10-S19

2010

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Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets

Physics in medicine & biology, 2019-08, Vol.64 (16), p.165011-165011

2019

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Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy

Radiotherapy and oncology, 2021-06, Vol.159, p.1-7

2021

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Patch‐based generative adversarial neural network models for head and neck MR‐only planning

Medical physics (Lancaster), 2020-02, Vol.47 (2), p.626-642

2020

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Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617

International journal of radiation oncology, biology, physics, 2021-04, Vol.109 (5), p.1619-1626

2021

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Radiomics analysis of pulmonary nodules in low‐dose CT for early detection of lung cancer

Medical physics (Lancaster), 2018-04, Vol.45 (4), p.1537-1549

2018

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The maximum entropy principle for compositional data

BMC bioinformatics, 2022-10, Vol.23 (1), p.449-449, Article 449

2022

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Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): An Introduction to the Scientific Issues

International journal of radiation oncology, biology, physics, 2010-03, Vol.76 (3), p.S3-S9

2010

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Impact of Dose to the Bladder Trigone on Long-Term Urinary Function After High-Dose Intensity Modulated Radiation Therapy for Localized Prostate Cancer

International journal of radiation oncology, biology, physics, 2014-02, Vol.88 (2), p.339-344

2014

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Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research

Medical physics (Lancaster), 2018-08, Vol.45 (8), p.3713-3720

2018

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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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vWCluster: Vector-valued optimal transport for network based clustering using multi-omics data in breast cancer

PloS one, 2022-03, Vol.17 (3), p.e0265150-e0265150

2022

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A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy

Breast cancer research : BCR, 2020-05, Vol.22 (1), p.57-11, Article 57

2020

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Multi-scale geometric network analysis identifies melanoma immunotherapy response gene modules

Scientific reports, 2024-03, Vol.14 (1), p.6082-6082, Article 6082

2024

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Improved prediction of drug-induced liver injury literature using natural language processing and machine learning methods

Frontiers in genetics, 2023-07, Vol.14, p.1161047-1161047

2023

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Radiation Dose–Volume Effects in the Lung

International journal of radiation oncology, biology, physics, 2010-03, Vol.76 (3), p.S70-S76

2010

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Sparing the region of the salivary gland containing stem cells preserves saliva production after radiotherapy for head and neck cancer

Science translational medicine, 2015-09, Vol.7 (305), p.305ra147

2015

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Predicting hypoxia status using a combination of contrast-enhanced computed tomography and [18F]-Fluorodeoxyglucose positron emission tomography radiomics features

Radiotherapy and oncology, 2018-04, Vol.127 (1), p.36-42

2018

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Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study

PloS one, 2020-02, Vol.15 (2), p.e0226157

2020

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Identification of biological correlates associated with respiratory failure in COVID-19

BMC medical genomics, 2020-12, Vol.13 (1), p.186-186, Article 186

2020

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Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images

Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation

Radiation Dose–Volume Effects in Radiation-Induced Rectal Injury

Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

Radiotherapy Dose–Volume Effects on Salivary Gland Function

Use of Normal Tissue Complication Probability Models in the Clinic

Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets

Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy

Patch‐based generative adversarial neural network models for head and neck MR‐only planning

Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617

Radiomics analysis of pulmonary nodules in low‐dose CT for early detection of lung cancer

The maximum entropy principle for compositional data

Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): An Introduction to the Scientific Issues

Impact of Dose to the Bladder Trigone on Long-Term Urinary Function After High-Dose Intensity Modulated Radiation Therapy for Localized Prostate Cancer

Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research

IMRT QA using machine learning: A multi‐institutional validation

vWCluster: Vector-valued optimal transport for network based clustering using multi-omics data in breast cancer

A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy

Multi-scale geometric network analysis identifies melanoma immunotherapy response gene modules

Improved prediction of drug-induced liver injury literature using natural language processing and machine learning methods

Radiation Dose–Volume Effects in the Lung

Sparing the region of the salivary gland containing stem cells preserves saliva production after radiotherapy for head and neck cancer

Predicting hypoxia status using a combination of contrast-enhanced computed tomography and [18F]-Fluorodeoxyglucose positron emission tomography radiomics features

Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study

Identification of biological correlates associated with respiratory failure in COVID-19

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