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Deep learning in medical imaging and radiation therapy

Medical physics (Lancaster), 2019-01, Vol.46 (1), p.e1-e36

2019

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MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays

Radiology, 2016-11, Vol.281 (2), p.382

2016

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Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma

Scientific reports, 2015-12, Vol.5 (1), p.17787-17787, Article 17787

2015

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Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer

Cancer imaging, 2018-04, Vol.18 (1), p.12-12, Article 12

2018

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Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set

NPJ breast cancer, 2016-05, Vol.2 (1), p.16012, Article 16012

2016

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PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

Journal of medical imaging (Bellingham, Wash.), 2018-10, Vol.5 (4), p.044501-044501

2018

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Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling

Cancer imaging, 2019-07, Vol.19 (1), p.48-48, Article 48

2019

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Basics of Surface Hopping in Mixed Quantum/Classical Simulations

Journal of Computational Physics, 1999-08, Vol.153 (2), p.225-272

Drukker, Karen

1999

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Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

Journal of medical imaging (Bellingham, Wash.), 2015-10, Vol.2 (4), p.041007-041007

2015

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Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients

Journal of medical imaging (Bellingham, Wash.), 2019-07, Vol.6 (3), p.034502-034502

2019

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TU-B-207B-00: Challenges in Radiomics and Big Data

Medical physics (Lancaster), 2016-06, Vol.43 (6), p.3742-3742

Drukker, Karen

2016

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Interreader Scoring Variability in an Observer Study Using Dual-Modality Imaging for Breast Cancer Detection in Women with Dense Breasts

Academic radiology, 2013-07, Vol.20 (7), p.847-853

2013

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Robustness of computerized lesion detection and classification scheme across different breast US platforms

Radiology, 2005-12, Vol.237 (3), p.834

2005

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AI in imaging and therapy: innovations, ethics, and impact – introductory editorial

British journal of radiology, 2023-10, Vol.96 (1150), p.20239004-20239004

2023

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Semiparametric Estimation of the Relationship between ROC Operating Points and the Test-result Scale

Academic radiology, 2011-12, Vol.18 (12), p.1537-1548

2011

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Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers

American journal of roentgenology (1976), 2016-06, Vol.206 (6), p.1341

2016

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Noise injection for training artificial neural networks: A comparison with weight decay and early stopping

Medical physics (Lancaster), 2009-10, Vol.36 (10), p.4810-4818

2009

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AI in medical imaging grand challenges: translation from competition to research benefit and patient care

British journal of radiology, 2023-10, Vol.96 (1150), p.20221152-20221152

2023

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Role of sureness in evaluating AI/CADx: Lesion‐based repeatability of machine learning classification performance on breast MRI

Medical physics (Lancaster), 2024-03, Vol.51 (3), p.1812-1821

2024

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AI in medical physics: guidelines for publication

Medical physics (Lancaster), 2021-09, Vol.48 (9), p.4711-4714

2021

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Special Section Guest Editorial: Radiogenomics in Prognosis and Treatment

Journal of medical imaging (Bellingham, Wash.), 2021-05, Vol.8 (3), p.031901-031901

2021

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Introduction to special issue on datasets hosted in The Cancer Imaging Archive (TCIA)

Medical physics (Lancaster), 2020-12, Vol.47 (12), p.6026-6028

2020

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Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and t -SNE

Medical physics (Lancaster), 2010-01, Vol.37 (1), p.339-351

2010

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Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging

Journal of the American College of Radiology, 2024-02, Vol.21 (2), p.341-343

2024

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Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set

Radiology, 2019-03, Vol.290 (3), p.621

2019

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Deep learning in medical imaging and radiation therapy

MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays

Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma

Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer

Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set

PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling

Basics of Surface Hopping in Mixed Quantum/Classical Simulations

Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients

TU-B-207B-00: Challenges in Radiomics and Big Data

Interreader Scoring Variability in an Observer Study Using Dual-Modality Imaging for Breast Cancer Detection in Women with Dense Breasts

Robustness of computerized lesion detection and classification scheme across different breast US platforms

AI in imaging and therapy: innovations, ethics, and impact – introductory editorial

Semiparametric Estimation of the Relationship between ROC Operating Points and the Test-result Scale

Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers

Noise injection for training artificial neural networks: A comparison with weight decay and early stopping

AI in medical imaging grand challenges: translation from competition to research benefit and patient care

Role of sureness in evaluating AI/CADx: Lesion‐based repeatability of machine learning classification performance on breast MRI

AI in medical physics: guidelines for publication

Special Section Guest Editorial: Radiogenomics in Prognosis and Treatment

Introduction to special issue on datasets hosted in The Cancer Imaging Archive (TCIA)

Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and t -SNE

Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging

Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set

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