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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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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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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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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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[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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The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Radiology, 2020-05, Vol.295 (2), p.328-338

2020

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Non-Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications

Radiology, 2018-01, Vol.286 (1), p.307

2018

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Noninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot study

Journal of medical imaging (Bellingham, Wash.), 2017-10, Vol.4 (4), p.041303-041303

2017

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Automated analysis of optic nerve images for detection and staging of papilledema

Investigative ophthalmology & visual science, 2011-09, Vol.52 (10), p.7470-7478

2011

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Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma

Journal of medical imaging (Bellingham, Wash.), 2015-10, Vol.2 (4), p.041011-041011

2015

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Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines

Journal of medical imaging (Bellingham, Wash.), 2020-07, Vol.7 (4), p.042803-042803

2020

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Quantitative Image Feature Extraction from Volume Data: Methods and Applications to Cancer Imaging

Echegaray, Sebastian

2017

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ProQuest

A Rapid Segmentation-Insensitive "Digital Biopsy" Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung Cancer

Tomography (Ann Arbor), 2016-12, Vol.2 (4), p.283-294

2016

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NI-38GLIOBLASTOMA SUBTYPES DEFINED BY QUANTITATIVE IMAGING MAP TO DIFFERENT CANONICAL SIGNALING PATHWAYS

Neuro-oncology (Charlottesville, Va.), 2014-11, Vol.16 (Suppl 5), p.v146-v146

2014

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S1.03GLIOBLASTOMA SUBTYPES DEFINED BY QUANTITATIVE IMAGING MAP TO DIFFERENT CANONICAL SIGNALING PATHWAYS

Neuro-oncology (Charlottesville, Va.), 2014-09, Vol.16 (Suppl 2), p.ii26-ii26

2014

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NI-38 GLIOBLASTOMA SUBTYPES DEFINED BY QUANTITATIVE IMAGING MAP TO DIFFERENT CANONICAL SIGNALING PATHWAYS

Neuro-oncology (Charlottesville, Va.), 2014-11, Vol.16 (suppl 5), p.v146-v146

2014

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S1.03 GLIOBLASTOMA SUBTYPES DEFINED BY QUANTITATIVE IMAGING MAP TO DIFFERENT CANONICAL SIGNALING PATHWAYS

Neuro-oncology (Charlottesville, Va.), 2014-09, Vol.16 (suppl 2), p.ii26-ii26

2014

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Prediction of EGFR and KRAS mutation in non-small cell lung cancer using quantitative 18F FDG-PET/CT metrics

Oncotarget, 2017-08, Vol.8 (32), p.52792-52801

2017

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Prediction of EGFR and KRAS mutation in non-small cell lung cancer using quantitative 18 F FDG-PET/CT metrics

Oncotarget, 2017-08, Vol.8 (32), p.52792

2017

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Automatic initialization of level set segmentation for application to optic disc margin identification

2009 22nd IEEE International Symposium on Computer-Based Medical Systems, 2009, p.1-4

2009

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IEEE_Xplore

Simulation of animal behavior using neural networks

2006 IEEE Region 5 Conference, 2006, p.99-102

2006

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IEEE_Xplore

The modular design and implementation of an intelligent cruise control system

2008 IEEE International Conference on System of Systems Engineering, 2008, p.1-6

2008

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IEEE_Xplore

Is the whole-day use of surgical masks during the coronavirus pandemic increasing the contamination of surgeons’ masks?

American journal of infection control, 2023-03, Vol.51 (3), p.349-350

2023

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Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features

Predictive radiogenomics modeling of EGFR mutation status in lung cancer

A radiogenomic dataset of non-small cell lung cancer

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

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

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

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Non-Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications

Noninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot study

Automated analysis of optic nerve images for detection and staging of papilledema

Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma

Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines

Quantitative Image Feature Extraction from Volume Data: Methods and Applications to Cancer Imaging

A Rapid Segmentation-Insensitive "Digital Biopsy" Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung Cancer

NI-38GLIOBLASTOMA SUBTYPES DEFINED BY QUANTITATIVE IMAGING MAP TO DIFFERENT CANONICAL SIGNALING PATHWAYS

S1.03GLIOBLASTOMA SUBTYPES DEFINED BY QUANTITATIVE IMAGING MAP TO DIFFERENT CANONICAL SIGNALING PATHWAYS

NI-38 GLIOBLASTOMA SUBTYPES DEFINED BY QUANTITATIVE IMAGING MAP TO DIFFERENT CANONICAL SIGNALING PATHWAYS

S1.03 GLIOBLASTOMA SUBTYPES DEFINED BY QUANTITATIVE IMAGING MAP TO DIFFERENT CANONICAL SIGNALING PATHWAYS

Prediction of EGFR and KRAS mutation in non-small cell lung cancer using quantitative 18F FDG-PET/CT metrics

Prediction of EGFR and KRAS mutation in non-small cell lung cancer using quantitative 18 F FDG-PET/CT metrics

Automatic initialization of level set segmentation for application to optic disc margin identification

Simulation of animal behavior using neural networks

The modular design and implementation of an intelligent cruise control system

Is the whole-day use of surgical masks during the coronavirus pandemic increasing the contamination of surgeons’ masks?

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