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Characterization of PET/CT images using texture analysis: the past, the present… any future?

European journal of nuclear medicine and molecular imaging, 2017, Vol.44 (1), p.151-165

2017

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Radiomics in PET/CT: More Than Meets the Eye?

Journal of Nuclear Medicine, 2017-03, Vol.58 (3), p.365-366

2017

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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 utility of radiomics at baseline rectal MRI to predict complete response of rectal cancer after chemoradiation therapy

Abdominal radiology (New York), 2020-11, Vol.45 (11), p.3608-3617

2020

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Transcriptomics in cancer revealed by Positron Emission Tomography radiomics

Scientific reports, 2020-03, Vol.10 (1), p.5660-5660, Article 5660

2020

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Volumetric analysis of IDH-mutant lower-grade glioma: a natural history study of tumor growth rates before and after treatment

Neuro-oncology (Charlottesville, Va.), 2020-12, Vol.22 (12), p.1822-1830

2020

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Radiomics: Data Are Also Images

Journal of Nuclear Medicine, 2019-09, Vol.60 (Suppl 2), p.38S-44S

2019

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Correlation of intra-tumor 18F-FDG uptake heterogeneity indices with perfusion CT derived parameters in colorectal cancer

PloS one, 2014, Vol.9 (6), p.e99567-e99567

2014

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Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma

European journal of nuclear medicine and molecular imaging, 2013-10, Vol.40 (11), p.1662-1671

2013

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18F-FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort

The Journal of nuclear medicine (1978), 2015-01, Vol.56 (1), p.38-44

2015

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Visual versus quantitative assessment of intratumor 18F-FDG PET uptake heterogeneity: prognostic value in non-small cell lung cancer

The Journal of nuclear medicine (1978), 2014-08, Vol.55 (8), p.1235-1241

2014

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Reliability of tumor segmentation in glioblastoma: Impact on the robustness of MRI‐radiomic features

Medical physics (Lancaster), 2019-08, Vol.46 (8), p.3582-3591

2019

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Reliability of PET/CT Shape and Heterogeneity Features in Functional and Morphologic Components of Non-Small Cell Lung Cancer Tumors: A Repeatability Analysis in a Prospective Multicenter Cohort

Journal of Nuclear Medicine, 2017-03, Vol.58 (3), p.406-411

2017

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Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer

The Journal of nuclear medicine (1978), 2011-03, Vol.52 (3), p.369-378

2011

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Development of a nomogram combining clinical staging with (18)F-FDG PET/CT image features in non-small-cell lung cancer stage I-III

European journal of nuclear medicine and molecular imaging, 2016-07, Vol.43 (8), p.1477-1485

2016

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Radiogenomics in Colorectal Cancer

Cancers, 2021-02, Vol.13 (5), p.973

2021

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Radiomic detection of abnormal brain regions in tuberous sclerosis complex

Medical physics (Lancaster), 2024-09

2024

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Radiomics in PET/CT: Current Status and Future AI-Based Evolutions

Seminars in nuclear medicine, 2021-03, Vol.51 (2), p.126-133

2021

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Do clinical, histological or immunohistochemical primary tumour characteristics translate into different (18)F-FDG PET/CT volumetric and heterogeneity features in stage II/III breast cancer?

European journal of nuclear medicine and molecular imaging, 2015-10, Vol.42 (11), p.1682-1691

2015

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MRI radiomic features are associated with survival in melanoma brain metastases treated with immune checkpoint inhibitors

Neuro-oncology (Charlottesville, Va.), 2019-12, Vol.21 (12), p.1578-1586

2019

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Preoperative MRI-radiomics features improve prediction of survival in glioblastoma patients over MGMT methylation status alone

Oncotarget, 2019-01, Vol.10 (6), p.660-672

2019

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Can alternative PET reconstruction schemes improve the prognostic value of radiomic features in non-small cell lung cancer?

Methods (San Diego, Calif.), 2021-04, Vol.188, p.73-83

2021

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Qualitative and quantitative reproducibility of [18]fluoromethycholine PET/computed tomography in prostate cancer

Nuclear medicine communications, 2020-02, Vol.41 (2), p.147-154

2020

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The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights

Radiology, 2024-02, Vol.310 (2)

2024

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Prospective validation of Support Vector Machine based prognostic models exploiting combined PET and CT Radiomics features for Non-Small Cell Lung Cancer: impact of image discretization in texture calculations

The Journal of nuclear medicine (1978), 2017-05, Vol.58, p.721

2017

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Characterization of PET/CT images using texture analysis: the past, the present… any future?

Radiomics in PET/CT: More Than Meets the Eye?

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

Clinical utility of radiomics at baseline rectal MRI to predict complete response of rectal cancer after chemoradiation therapy

Transcriptomics in cancer revealed by Positron Emission Tomography radiomics

Volumetric analysis of IDH-mutant lower-grade glioma: a natural history study of tumor growth rates before and after treatment

Radiomics: Data Are Also Images

Correlation of intra-tumor 18F-FDG uptake heterogeneity indices with perfusion CT derived parameters in colorectal cancer

Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma

18F-FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort

Visual versus quantitative assessment of intratumor 18F-FDG PET uptake heterogeneity: prognostic value in non-small cell lung cancer

Reliability of tumor segmentation in glioblastoma: Impact on the robustness of MRI‐radiomic features

Reliability of PET/CT Shape and Heterogeneity Features in Functional and Morphologic Components of Non-Small Cell Lung Cancer Tumors: A Repeatability Analysis in a Prospective Multicenter Cohort

Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer

Development of a nomogram combining clinical staging with (18)F-FDG PET/CT image features in non-small-cell lung cancer stage I-III

Radiogenomics in Colorectal Cancer

Radiomic detection of abnormal brain regions in tuberous sclerosis complex

Radiomics in PET/CT: Current Status and Future AI-Based Evolutions

Do clinical, histological or immunohistochemical primary tumour characteristics translate into different (18)F-FDG PET/CT volumetric and heterogeneity features in stage II/III breast cancer?

MRI radiomic features are associated with survival in melanoma brain metastases treated with immune checkpoint inhibitors

Preoperative MRI-radiomics features improve prediction of survival in glioblastoma patients over MGMT methylation status alone

Can alternative PET reconstruction schemes improve the prognostic value of radiomic features in non-small cell lung cancer?

Qualitative and quantitative reproducibility of [18]fluoromethycholine PET/computed tomography in prostate cancer

The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights

Prospective validation of Support Vector Machine based prognostic models exploiting combined PET and CT Radiomics features for Non-Small Cell Lung Cancer: impact of image discretization in texture calculations

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