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Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging

Breast cancer research and treatment, 2020-04, Vol.180 (2), p.407-421

2020

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A phase Ib/IIa, open‐label, multiple ascending‐dose trial of domagrozumab in fukutin‐related protein limb‐girdle muscular dystrophy

Muscle & nerve, 2021-08, Vol.64 (2), p.172-179

2021

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A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases

Cancers, 2023-08, Vol.15 (16), p.4113

2023

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Longitudinal functional and imaging outcome measures in FKRP limb-girdle muscular dystrophy

BMC neurology, 2020-05, Vol.20 (1), p.196-196, Article 196

2020

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Tumor Connectomics: Mapping the Intra-Tumoral Complex Interaction Network Using Machine Learning

Cancers, 2022-03, Vol.14 (6), p.1481

2022

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Integrated Multiparametric Radiomics and Informatics System for Characterizing Breast Tumor Characteristics with the OncotypeDX Gene Assay

Cancers, 2020-09, Vol.12 (10), p.2772

2020

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Deep learning and radiomics in precision medicine

Expert review of precision medicine and drug development, 2019-03, Vol.4 (2), p.59-72

2019

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Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI

NPJ breast cancer, 2017-11, Vol.3 (1), p.43-9, Article 43

2017

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Medical imaging data science competitions should report dataset demographics and evaluate for bias

Nature medicine, 2023-05, Vol.29 (5), p.1038-1039

2023

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Generalizability and Bias in a Deep Learning Pediatric Bone Age Prediction Model Using Hand Radiographs

Radiology, 2023-02, Vol.306 (2), p.e220505-e220505

2023

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Coarse Race and Ethnicity Labels Mask Granular Underdiagnosis Disparities in Deep Learning Models for Chest Radiograph Diagnosis

Radiology, 2023-11, Vol.309 (2), p.e231693

2023

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Radiomic features of the pancreas on CT imaging accurately differentiate functional abdominal pain, recurrent acute pancreatitis, and chronic pancreatitis

European journal of radiology, 2020-02, Vol.123, p.108778-108778, Article 108778

2020

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A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence-Based Fat-Suppressed Imaging Feasible?

Investigative radiology, 2021-06, Vol.56 (6), p.357

2021

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General-Purpose Large Language Models Versus a Domain-Specific Natural Language Processing Tool for Label Extraction From Chest Radiograph Reports

American journal of roentgenology (1976), 2024-04, Vol.222 (4), p.e2330573

2024

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Systematic Review of Radiology Residency Artificial Intelligence Curricula: Preparing Future Radiologists for the Artificial Intelligence Era

Journal of the American College of Radiology, 2023-06, Vol.20 (6), p.561-569

2023

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Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results

Medical physics (Lancaster), 2020-01, Vol.47 (1), p.75-88

2020

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Economic and Environmental Costs of Cloud Technologies for Medical Imaging and Radiology Artificial Intelligence

Journal of the American College of Radiology, 2024-02, Vol.21 (2), p.248-256

2024

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Evaluation of Climate-Aware Metrics Tools for Radiology Informatics and Artificial Intelligence: Toward a Potential Radiology Ecolabel

Journal of the American College of Radiology, 2024-02, Vol.21 (2), p.239-247

2024

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Sociodemographic biases in a commercial AI model for intracranial hemorrhage detection

Emergency radiology, 2024-07

2024

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Letter: Design flaws in study of differentiating functional abdominal pain, recurrent acute pancreatitis and chronic pancreatitis via radiomics features. Authors’ reply

European journal of radiology, 2020-04, Vol.125, p.108871-108871, Article 108871

2020

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Evaluating the Robustness of a Deep Learning Bone Age Algorithm to Clinical Image Variation Using Computational Stress Testing

Radiology. Artificial intelligence, 2024-05, Vol.6 (3), p.e230240

2024

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Performance and Usability of Code-Free Deep Learning for Chest Radiograph Classification, Object Detection, and Segmentation

Radiology. Artificial intelligence, 2023-03, Vol.5 (2), p.e220062-e220062

2023

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Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery

Neuro-oncology advances, 2021-01, Vol.3 (1), p.vdab150-vdab150

2021

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A multidimensional data visualization and clustering method: Consensus similarity mapping

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, p.420-423

2016

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Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging

A phase Ib/IIa, open‐label, multiple ascending‐dose trial of domagrozumab in fukutin‐related protein limb‐girdle muscular dystrophy

A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases

Longitudinal functional and imaging outcome measures in FKRP limb-girdle muscular dystrophy

Tumor Connectomics: Mapping the Intra-Tumoral Complex Interaction Network Using Machine Learning

Integrated Multiparametric Radiomics and Informatics System for Characterizing Breast Tumor Characteristics with the OncotypeDX Gene Assay

Deep learning and radiomics in precision medicine

Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI

Medical imaging data science competitions should report dataset demographics and evaluate for bias

Generalizability and Bias in a Deep Learning Pediatric Bone Age Prediction Model Using Hand Radiographs

Coarse Race and Ethnicity Labels Mask Granular Underdiagnosis Disparities in Deep Learning Models for Chest Radiograph Diagnosis

Radiomic features of the pancreas on CT imaging accurately differentiate functional abdominal pain, recurrent acute pancreatitis, and chronic pancreatitis

A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence-Based Fat-Suppressed Imaging Feasible?

General-Purpose Large Language Models Versus a Domain-Specific Natural Language Processing Tool for Label Extraction From Chest Radiograph Reports

Systematic Review of Radiology Residency Artificial Intelligence Curricula: Preparing Future Radiologists for the Artificial Intelligence Era

Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results

Economic and Environmental Costs of Cloud Technologies for Medical Imaging and Radiology Artificial Intelligence

Evaluation of Climate-Aware Metrics Tools for Radiology Informatics and Artificial Intelligence: Toward a Potential Radiology Ecolabel

Sociodemographic biases in a commercial AI model for intracranial hemorrhage detection

Letter: Design flaws in study of differentiating functional abdominal pain, recurrent acute pancreatitis and chronic pancreatitis via radiomics features. Authors’ reply

Evaluating the Robustness of a Deep Learning Bone Age Algorithm to Clinical Image Variation Using Computational Stress Testing

Performance and Usability of Code-Free Deep Learning for Chest Radiograph Classification, Object Detection, and Segmentation

Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge

A multidimensional data visualization and clustering method: Consensus similarity mapping

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