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Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications

European journal of nuclear medicine and molecular imaging, 2019-12, Vol.46 (13), p.2630-2637

2019

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Responsible Radiomics Research for Faster Clinical Translation

Journal of Nuclear Medicine, 2018-02, Vol.59 (2), p.189-193

2018

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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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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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A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET

IEEE transactions on medical imaging, 2009-06, Vol.28 (6), p.881-893

2009

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Automated PD-L1 status prediction in lung cancer with multi-modal PET/CT fusion

Scientific reports, 2024-07, Vol.14 (1), p.16720-14, Article 16720

2024

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Tumour functional sphericity from PET images: prognostic value in NSCLC and impact of delineation method

European journal of nuclear medicine and molecular imaging, 2018-04, Vol.45 (4), p.630-641

2018

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Radiogenomics in Colorectal Cancer

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

2021

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Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications

European journal of nuclear medicine and molecular imaging, 2019-12, Vol.46 (13), p.2630-2637

2019

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Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods on 18F-FDG PET/CT images

Scientific reports, 2019-10, Vol.9 (1), p.1-11, Article 14925

2019

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The age of reason for FDG PET image-derived indices

European journal of nuclear medicine and molecular imaging, 2012-11, Vol.39 (11), p.1670-1672

2012

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Accurate Automatic Delineation of Heterogeneous Functional Volumes in Positron Emission Tomography for Oncology Applications

International journal of radiation oncology, biology, physics, 2010-05, Vol.77 (1), p.301-308

2010

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Accurate Tumor Delineation vs. Rough Volume of Interest Analysis for 18F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer

Frontiers in oncology, 2021-10, Vol.11, p.726865-726865

2021

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Fully automatic deformable registration of pretreatment MRI/CT for image‐guided prostate radiotherapy planning

Medical physics (Lancaster), 2017-12, Vol.44 (12), p.6447-6455

2017

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Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer

Diagnostics (Basel), 2021-04, Vol.11 (4), p.675

2021

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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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Estrogen receptor‐positive/human epidermal growth factor receptor 2‐negative breast tumors

Cancer, 2013-06, Vol.119 (11), p.1960-1968

2013

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Comparison of Radiomics Models Built Through Machine Learning in a Multicentric Context With Independent Testing: Identical Data, Similar Algorithms, Different Methodologies

IEEE transactions on radiation and plasma medical sciences, 2019-03, Vol.3 (2), p.192-200

2019

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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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PET functional volume delineation: a robustness and repeatability study

European journal of nuclear medicine and molecular imaging, 2011-04, Vol.38 (4), p.663-672

2011

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Are radiomics ready for clinical prime-time in PET/CT imaging?

The quarterly journal of nuclear medicine and molecular imaging, 2019-12, Vol.63 (4), p.347

2019

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Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology

Computerized medical imaging and graphics, 2023-12, Vol.110, p.102308-102308, Article 102308

2023

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PET functional volume delineation: a robustness and repeatability study

European journal of nuclear medicine and molecular imaging, 2011-04, Vol.38 (4), p.663-672

2011

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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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Methods in synthesis of flavonoids. Part 3: Molybdenum(IV)-catalyzed coupling of cinnamyl alcohols to phenol derivatives

Tetrahedron letters, 2002-04, Vol.43 (15), p.2675-2678

2002

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Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications

Responsible Radiomics Research for Faster Clinical Translation

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

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

A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET

Automated PD-L1 status prediction in lung cancer with multi-modal PET/CT fusion

Tumour functional sphericity from PET images: prognostic value in NSCLC and impact of delineation method

Radiogenomics in Colorectal Cancer

Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications

Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods on 18F-FDG PET/CT images

The age of reason for FDG PET image-derived indices

Accurate Automatic Delineation of Heterogeneous Functional Volumes in Positron Emission Tomography for Oncology Applications

Accurate Tumor Delineation vs. Rough Volume of Interest Analysis for 18F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer

Fully automatic deformable registration of pretreatment MRI/CT for image‐guided prostate radiotherapy planning

Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer

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

Estrogen receptor‐positive/human epidermal growth factor receptor 2‐negative breast tumors

Comparison of Radiomics Models Built Through Machine Learning in a Multicentric Context With Independent Testing: Identical Data, Similar Algorithms, Different Methodologies

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

PET functional volume delineation: a robustness and repeatability study

Are radiomics ready for clinical prime-time in PET/CT imaging?

Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology

PET functional volume delineation: a robustness and repeatability study

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

Methods in synthesis of flavonoids. Part 3: Molybdenum(IV)-catalyzed coupling of cinnamyl alcohols to phenol derivatives

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