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Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats

Cancer, 2018-12, Vol.124 (24), p.4633-4649

2018

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GFPT2 -Expressing Cancer-Associated Fibroblasts Mediate Metabolic Reprogramming in Human Lung Adenocarcinoma

Cancer research (Chicago, Ill.), 2018-07, Vol.78 (13), p.3445-3457

2018

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Radiomics and Radiogenomics: Technical Basis and Clinical Applications

1st, 2019

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Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features

Radiology, 2014-10, Vol.273 (1), p.168

2014

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Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results

Radiology, 2012-08, Vol.264 (2), p.387

2012

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A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound

IEEE journal of biomedical and health informatics, 2017-01, Vol.21 (1), p.48-55

2017

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Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study

International journal of radiation oncology, biology, physics, 2016-08, Vol.95 (5), p.1504-1512

2016

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Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer

Breast cancer research : BCR, 2018-09, Vol.20 (1), p.101-101, Article 101

2018

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CT angiography after 20 years: a transformation in cardiovascular disease characterization continues to advance

Radiology, 2014-06, Vol.271 (3), p.633

2014

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Predictive radiogenomics modeling of EGFR mutation status in lung cancer

Scientific reports, 2017-01, Vol.7 (1), p.41674, Article 41674

2017

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A radiogenomic dataset of non-small cell lung cancer

Scientific data, 2018-10, Vol.5 (1), p.180202-180202, Article 180202

2018

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Artificial intelligence and machine learning in cancer imaging

Communications medicine, 2022-10, Vol.2 (1), p.133-133, Article 133

2022

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Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images

Journal of digital imaging, 2018-08, Vol.31 (4), p.403-414

2018

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Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results

Radiology, 2010-07, Vol.256 (1), p.243

2010

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A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study

Journal of digital imaging, 2016-08, Vol.29 (4), p.476-487

2016

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Adaptive border marching algorithm: Automatic lung segmentation on chest CT images

Computerized medical imaging and graphics, 2008-09, Vol.32 (6), p.452-462

2008

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Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank

Frontiers in cardiovascular medicine, 2020-11, Vol.7, p.591368

2020

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Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features

Tomography (Ann Arbor), 2016-12, Vol.2 (4), p.430-437

2016

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The utility of three-dimensional models in complex microsurgical reconstruction

Archives of Plastic Surgery, 2020, 47(5), , pp.428-434

2020

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Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection

Radiology, 2005-01, Vol.234 (1), p.274

2005

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Machine learning with multimodal data for COVID-19

Heliyon, 2023-07, Vol.9 (7), p.e17934-e17934, Article e17934

2023

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NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures

Translational oncology, 2014-10, Vol.7 (5), p.556-569

2014

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[18F] FDG Positron Emission Tomography (PET) Tumor and Penumbra Imaging Features Predict Recurrence in Non-Small Cell Lung Cancer

Tomography (Ann Arbor), 2019-03, Vol.5 (1), p.145-153

2019

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Quantifying the margin sharpness of lesions on radiological images for content-based image retrieval

Medical physics (Lancaster), 2012-09, Vol.39 (9), p.5405-5418

2012

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Managing Biomedical Image Metadata for Search and Retrieval of Similar Images

Journal of digital imaging, 2011-08, Vol.24 (4), p.739-748

2011

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Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats

GFPT2 -Expressing Cancer-Associated Fibroblasts Mediate Metabolic Reprogramming in Human Lung Adenocarcinoma

Radiomics and Radiogenomics: Technical Basis and Clinical Applications

Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features

Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results

A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound

Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study

Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer

CT angiography after 20 years: a transformation in cardiovascular disease characterization continues to advance

Predictive radiogenomics modeling of EGFR mutation status in lung cancer

A radiogenomic dataset of non-small cell lung cancer

Artificial intelligence and machine learning in cancer imaging

Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images

Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results

A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study

Adaptive border marching algorithm: Automatic lung segmentation on chest CT images

Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank

Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features

The utility of three-dimensional models in complex microsurgical reconstruction

Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection

Machine learning with multimodal data for COVID-19

NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures

[18F] FDG Positron Emission Tomography (PET) Tumor and Penumbra Imaging Features Predict Recurrence in Non-Small Cell Lung Cancer

Quantifying the margin sharpness of lesions on radiological images for content-based image retrieval

Managing Biomedical Image Metadata for Search and Retrieval of Similar Images

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