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Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier

Computerized medical imaging and graphics, 2017-09, Vol.60, p.42-49

2017

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Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier

PloS one, 2017-03, Vol.12 (3), p.e0173208-e0173208

2017

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Semi-automatic lymphoma detection and segmentation using fully conditional random fields

Computerized medical imaging and graphics, 2018-12, Vol.70, p.1-7

2018

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Sub-cutaneous Fat Mass measured on multislice computed tomography of pretreatment PET/CT is a prognostic factor of stage IV non-small cell lung cancer treated by nivolumab

Oncoimmunology, 2019-05, Vol.8 (5), p.e1580128-e1580128

2019

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Advances in PET and MRI imaging of tumor hypoxia

Frontiers in medicine, 2023-02, Vol.10, p.1055062-1055062

2023

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Synthetic MRI for Radiotherapy Planning for Brain and Prostate Cancers: Phantom Validation and Patient Evaluation

Frontiers in oncology, 2022-04, Vol.12, p.841761-841761

2022

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A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction

Entropy (Basel, Switzerland), 2022-03, Vol.24 (4), p.436

2022

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Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24 , 436

Entropy (Basel, Switzerland), 2022-05, Vol.24 (5), p.685

2022

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Correlations between baseline 18F-FDG PET tumour parameters and circulating DNA in diffuse large B cell lymphoma and Hodgkin lymphoma

EJNMMI research, 2020-10, Vol.10 (1), p.120-120, Article 120

2020

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A new methodology to derive 3D kinetic parametric FDG PET images based on a mathematical approach integrating an error model of measurement

EJNMMI research, 2018-11, Vol.8 (1), p.99-12, Article 99

2018

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Combination of baseline FDG PET/CT total metabolic tumour volume and gene expression profile have a robust predictive value in patients with diffuse large B-cell lymphoma

European journal of nuclear medicine and molecular imaging, 2018-05, Vol.45 (5), p.680-688

2018

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Radiomics: Principles and radiotherapy applications

Critical reviews in oncology/hematology, 2019-06, Vol.138, p.44-50

2019

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Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT

Journal of digital imaging, 2019-04, Vol.32 (2), p.241-250

2019

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Comparative Assessment of Methods for Estimating Tumor Volume and Standardized Uptake Value in 18F-FDG PET

The Journal of nuclear medicine (1978), 2010-02, Vol.51 (2), p.268

2010

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Eikonal-based region growing for efficient clustering

Image and vision computing, 2014-12, Vol.32 (12), p.1045-1054

2014

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Fusion of multi-tracer PET images for dose painting

Medical image analysis, 2014-10, Vol.18 (7), p.1247-1259

2014

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Baseline Total Metabolic Tumor Volume Measured with Fixed or Different Adaptive Thresholding Methods Equally Predicts Outcome in Peripheral T Cell Lymphoma

Journal of Nuclear Medicine, 2017-02, Vol.58 (2), p.276-281

2017

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Automatic multislice segmentation of visceral adipose tissue from CT of PET/CT by using a dense V-Network

The Journal of nuclear medicine (1978), 2019-05, Vol.60

2019

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Tumor fragmentation estimated by volume surface ratio of tumors measured on 18F-FDG PET/CT is an independent prognostic factor of diffuse large B-cell lymphoma

European journal of nuclear medicine and molecular imaging, 2018-09, Vol.45 (10), p.1672-1679

2018

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Evaluation of a rigid registration method of lung perfusion SPECT and thoracic CT

American journal of roentgenology (1976), 2005-12, Vol.185 (6), p.1516-1524

2005

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Radiomics-net: Convolutional Neural Networks on FDG PET Images for predicting cancer treatment response

The Journal of nuclear medicine (1978), 2018-05, Vol.59 (supplement 1), p.324

2018

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Measurement of the Body Surface Area from a Computed Tomography of a PET/CT

The Journal of nuclear medicine (1978), 2018-05, Vol.59, p.1736

2018

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Automatic Measurement of the Total Visceral Adipose Tissue From Computed Tomography Images by Using a Multi-Atlas Segmentation Method

Journal of computer assisted tomography, 2018-01, Vol.42 (1), p.139-145

2018

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Characterization of positioning uncertainties in PET‐CT‐MR trimodality solutions for radiotherapy

Journal of applied clinical medical physics, 2022-07, Vol.23 (7), p.e13617-n/a

2022

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Implementation and validation of collapsed cone superposition for radiopharmaceutical dosimetry of photon emitters

Physics in medicine & biology, 2015-10, Vol.60 (20), p.7861-7876

2015

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Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier

Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier

Semi-automatic lymphoma detection and segmentation using fully conditional random fields

Sub-cutaneous Fat Mass measured on multislice computed tomography of pretreatment PET/CT is a prognostic factor of stage IV non-small cell lung cancer treated by nivolumab

Advances in PET and MRI imaging of tumor hypoxia

Synthetic MRI for Radiotherapy Planning for Brain and Prostate Cancers: Phantom Validation and Patient Evaluation

A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction

Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24 , 436

Correlations between baseline 18F-FDG PET tumour parameters and circulating DNA in diffuse large B cell lymphoma and Hodgkin lymphoma

A new methodology to derive 3D kinetic parametric FDG PET images based on a mathematical approach integrating an error model of measurement

Combination of baseline FDG PET/CT total metabolic tumour volume and gene expression profile have a robust predictive value in patients with diffuse large B-cell lymphoma

Radiomics: Principles and radiotherapy applications

Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT

Comparative Assessment of Methods for Estimating Tumor Volume and Standardized Uptake Value in 18F-FDG PET

Eikonal-based region growing for efficient clustering

Fusion of multi-tracer PET images for dose painting

Baseline Total Metabolic Tumor Volume Measured with Fixed or Different Adaptive Thresholding Methods Equally Predicts Outcome in Peripheral T Cell Lymphoma

Automatic multislice segmentation of visceral adipose tissue from CT of PET/CT by using a dense V-Network

Tumor fragmentation estimated by volume surface ratio of tumors measured on 18F-FDG PET/CT is an independent prognostic factor of diffuse large B-cell lymphoma

Evaluation of a rigid registration method of lung perfusion SPECT and thoracic CT

Radiomics-net: Convolutional Neural Networks on FDG PET Images for predicting cancer treatment response

Measurement of the Body Surface Area from a Computed Tomography of a PET/CT

Automatic Measurement of the Total Visceral Adipose Tissue From Computed Tomography Images by Using a Multi-Atlas Segmentation Method

Characterization of positioning uncertainties in PET‐CT‐MR trimodality solutions for radiotherapy

Implementation and validation of collapsed cone superposition for radiopharmaceutical dosimetry of photon emitters

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