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Dissociated Response in Metastatic Cancer: An Atypical Pattern Brought Into the Spotlight With Immunotherapy

Frontiers in oncology, 2020-09, Vol.10, p.566297-566297

2020

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Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies

BMC bioinformatics, 2022-09, Vol.23 (1), p.1-361, Article 361

2022

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Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection-an application in metabolomics studies

BMC bioinformatics, 2021-12, Vol.22 (1), p.594-594, Article 594

2021

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Identification of Metabolomic Markers in Frozen or Formalin-Fixed and Paraffin-Embedded Samples of Diffuse Glioma from Adults

International journal of molecular sciences, 2023-12, Vol.24 (23), p.16697

2023

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Total metabolic tumor volume on 18F-FDG PET/CT is a game-changer for patients with metastatic lung cancer treated with immunotherapy

Journal for immunotherapy of cancer, 2024-04, Vol.12 (4), p.e007628

2024

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SUV calculation in breast cancer: which normalization should be applied when using 18F-FDG PET?

The quarterly journal of nuclear medicine and molecular imaging, 2019-12, Vol.63 (4), p.399

2019

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Metabolomic Signatures of Scarff-Bloom-Richardson (SBR) Grade in Non-Metastatic Breast Cancer

Cancers, 2023-03, Vol.15 (7), p.1941

2023

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Comparison of unsupervised machine-learning methods to identify metabolomic signatures in patients with localized breast cancer

Computational and structural biotechnology journal, 2020-01, Vol.18 (7), p.1509-1524

2020

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Survival analysis of patient groups defined by unsupervised machine learning clustering methods based on patient metabolomic data

Computational and structural biotechnology journal, 2023-01, Vol.21, p.5136-5143

2023

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Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies

BMC bioinformatics, 2022-12, Vol.23 (1)

2022

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Development and validation of a radiomic model for the diagnosis of dopaminergic denervation on [18F]FDOPA PET/CT

European journal of nuclear medicine and molecular imaging, 2022-09, Vol.49 (11), p.3787-3796

2022

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18FFDG-PET/CT atypical response patterns to immunotherapy in non-small cell lung cancer patients: long term prognosis assessment and clinical management proposal

European journal of nuclear medicine and molecular imaging, 2024-06

2024

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[18F]FDG-PET/CT atypical response patterns to immunotherapy in non-small cell lung cancer patients: long term prognosis assessment and clinical management proposal

European journal of nuclear medicine and molecular imaging, 2024-06

2024

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Predicting non-small cell lung cancer response to immune checkpoint inhibitors with machine learning based on heterogeneous biomarkers

Journal of clinical oncology, 2023-06, Vol.41 (16_suppl), p.e21068-e21068

2023

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Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection—an application in metabolomics studies

BMC bioinformatics, 2021-12, Vol.22 (1)

2021

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Prognostic impact of post-treatment FDG PET/CT in anal canal cancer: A prospective study

Radiotherapy and oncology, 2023-11, Vol.188, p.109905-109905, Article 109905

2023

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[18F]-FDopa positron emission tomography imaging in corticobasal syndrome

Brain imaging and behavior, 2023-12, Vol.17 (6), p.619-627

2023

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Baseline metabolic tumor volume as a strong predictive and prognostic biomarker in patients with non-small cell lung cancer treated with PD1 inhibitors: a prospective study

Journal for immunotherapy of cancer, 2020-07, Vol.8 (2), p.e000645

2020

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Prognostic value of immunotherapy-induced organ inflammation assessed on 18FDG PET in patients with metastatic non-small cell lung cancer

European journal of nuclear medicine and molecular imaging, 2022-09, Vol.49 (11), p.3878-3891

2022

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Total metabolic tumor volume on 18 F-FDG PET/CT is a game-changer for patients with metastatic lung cancer treated with immunotherapy

Journal for immunotherapy of cancer, 2024-04, Vol.12 (4), p.e007628

2024

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Added value of [18F]FDOPA PET to the management of high-grade glioma patients after their initial treatment: a prospective multicentre study

European journal of nuclear medicine and molecular imaging, 2023-07, Vol.50 (9), p.2727-2735

2023

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Abstract P2-26-23: Transcriptomic modification induced by the first cycle of neoadjuvant chemotherapy impacts response to treatment in triple negative breast cancer (TNBC)

Cancer research (Chicago, Ill.), 2023-03, Vol.83 (5_Supplement), p.P2-P2-26-23

2023

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Abstract 2449: Unsupervised machine learning methods reveal metabolomic based clusters in breast cancer patients

Cancer research (Chicago, Ill.), 2019-07, Vol.79 (13_Supplement), p.2449-2449

2019

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Metabolomic Signatures of Scarff–Bloom–Richardson (SBR) Grade in Non-Metastatic Breast Cancer

Cancers, 2023-03, Vol.15 (7)

2023

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False positive 18FDG PET-CT results due to exogenous lipoid pneumonia secondary to oily drug inhalation: A case report

Medicine (Baltimore), 2017-06, Vol.96 (22), p.e6889

2017

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Dissociated Response in Metastatic Cancer: An Atypical Pattern Brought Into the Spotlight With Immunotherapy

Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies

Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection-an application in metabolomics studies

Identification of Metabolomic Markers in Frozen or Formalin-Fixed and Paraffin-Embedded Samples of Diffuse Glioma from Adults

Total metabolic tumor volume on 18F-FDG PET/CT is a game-changer for patients with metastatic lung cancer treated with immunotherapy

SUV calculation in breast cancer: which normalization should be applied when using 18F-FDG PET?

Metabolomic Signatures of Scarff-Bloom-Richardson (SBR) Grade in Non-Metastatic Breast Cancer

Comparison of unsupervised machine-learning methods to identify metabolomic signatures in patients with localized breast cancer

Survival analysis of patient groups defined by unsupervised machine learning clustering methods based on patient metabolomic data

Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies

Development and validation of a radiomic model for the diagnosis of dopaminergic denervation on [18F]FDOPA PET/CT

18FFDG-PET/CT atypical response patterns to immunotherapy in non-small cell lung cancer patients: long term prognosis assessment and clinical management proposal

[18F]FDG-PET/CT atypical response patterns to immunotherapy in non-small cell lung cancer patients: long term prognosis assessment and clinical management proposal

Predicting non-small cell lung cancer response to immune checkpoint inhibitors with machine learning based on heterogeneous biomarkers

Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection—an application in metabolomics studies

Prognostic impact of post-treatment FDG PET/CT in anal canal cancer: A prospective study

[18F]-FDopa positron emission tomography imaging in corticobasal syndrome

Baseline metabolic tumor volume as a strong predictive and prognostic biomarker in patients with non-small cell lung cancer treated with PD1 inhibitors: a prospective study

Prognostic value of immunotherapy-induced organ inflammation assessed on 18FDG PET in patients with metastatic non-small cell lung cancer

Total metabolic tumor volume on 18 F-FDG PET/CT is a game-changer for patients with metastatic lung cancer treated with immunotherapy

Added value of [18F]FDOPA PET to the management of high-grade glioma patients after their initial treatment: a prospective multicentre study

Abstract P2-26-23: Transcriptomic modification induced by the first cycle of neoadjuvant chemotherapy impacts response to treatment in triple negative breast cancer (TNBC)

Abstract 2449: Unsupervised machine learning methods reveal metabolomic based clusters in breast cancer patients

Metabolomic Signatures of Scarff–Bloom–Richardson (SBR) Grade in Non-Metastatic Breast Cancer

False positive 18FDG PET-CT results due to exogenous lipoid pneumonia secondary to oily drug inhalation: A case report

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