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Prognostic Value of 18 F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED Study

Journal of Nuclear Medicine, 2024-01, Vol.65 (1), p.156-162

2024

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Prognostic Value of 18F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED Study

The Journal of nuclear medicine (1978), 2024-01, Vol.65 (1), p.156

2024

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Validation of the ΔSUVmax for Interim PET Interpretation in Diffuse Large B-Cell Lymphoma on the Basis of the GAINED Clinical Trial

The Journal of nuclear medicine (1978), 2023-11, Vol.64 (11), p.1706-1711

2023

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Validation of the ΔSUV max for Interim PET Interpretation in Diffuse Large B-Cell Lymphoma on the Basis of the GAINED Clinical Trial

Journal of Nuclear Medicine, 2023-11, Vol.64 (11), p.1706-1711

2023

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[18F]DCFPyL PET/CT versus [18F]fluoromethylcholine PET/CT in Biochemical Recurrence of Prostate Cancer (PYTHON): a prospective, open label, cross-over, comparative study

European journal of nuclear medicine and molecular imaging, 2023-09, Vol.50 (11), p.3439-3451

2023

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Is There a Role of Artificial Intelligence in Preclinical Imaging?

Seminars in nuclear medicine, 2023-09, Vol.53 (5), p.687-693

2023

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Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis

JACC. Cardiovascular imaging, 2023-08, Vol.16 (8), p.1085-1095

2023

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Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis

JACC. Cardiovascular imaging, 2023-08, Vol.16 (8), p.1085-1095

2023

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IgG4-related disease and small lymphocytic lymphoma

QJM : An International Journal of Medicine, 2023-07, Vol.116 (7), p.523-524

2023

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Baseline circulating tumour DNA and total metabolic tumour volume as early outcome predictors in aggressive large B‐cell lymphoma. A real‐world 112‐patient cohort

British journal of haematology, 2023-07, Vol.202 (1), p.54-64

2023

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Optimization of whole-body 2-[18F]FDG-PET/MRI imaging protocol for the initial staging of patients with myeloma

European radiology, 2022-05, Vol.32 (5), p.3085-3096

2022

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Integrative Study of a High-Grade B-Cell Lymphoma Cohort of 45 Patients: A Single Institution Real Life Study

Blood, 2021-11, Vol.138 (Supplement 1), p.4576-4576

2021

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Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network

European journal of nuclear medicine and molecular imaging, 2021-05, Vol.48 (5), p.1362-1370

2021

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Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment

Diagnostic and interventional imaging, 2020-12, Vol.101 (12), p.789-794

2020

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Whole-Body Functional MRI and PET/MRI in Multiple Myeloma

Cancers, 2020-10, Vol.12 (11), p.3155

2020

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Prognostic Impact of Stromal Immune Infiltration before and after Neoadjuvant Chemotherapy Treated with Dose-Dense Dose-Intense NAC

Cancers, 2020-09, Vol.12 (9), p.1

2020

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Extracardiac soft tissue uptake, evidenced on early 99m Tc-HMDP SPECT/CT, helps typing cardiac amyloidosis and demonstrates high prognostic value

European journal of nuclear medicine and molecular imaging, 2020-09, Vol.47 (10), p.2396

2020

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Extracardiac soft tissue uptake, evidenced on early 99mTc-HMDP SPECT/CT, helps typing cardiac amyloidosis and demonstrates high prognostic value

European journal of nuclear medicine and molecular imaging, 2020-09, Vol.47 (10), p.2396-2406

2020

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Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer

European radiology, 2020-06, Vol.30 (6), p.3528-3537

2020

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Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction

PloS one, 2019-10, Vol.14 (10), p.e0223141-e0223141

2019

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Attenuation correction using 3D deep convolutional neural network for brain .sup.18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction.(Research Article)(computed tomography )(Positron emission tomography-magnetic resonance imaging)

PloS one, 2019-10, Vol.14 (10), p.e0223141

2019

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Prognostic Value of 18 F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED Study

Prognostic Value of 18F-FDG PET Radiomics Features at Baseline in PET-Guided Consolidation Strategy in Diffuse Large B-Cell Lymphoma: A Machine-Learning Analysis from the GAINED Study

Validation of the ΔSUVmax for Interim PET Interpretation in Diffuse Large B-Cell Lymphoma on the Basis of the GAINED Clinical Trial

Validation of the ΔSUV max for Interim PET Interpretation in Diffuse Large B-Cell Lymphoma on the Basis of the GAINED Clinical Trial

Publisher Correction: Axicabtagene ciloleucel as second-line therapy in large B cell lymphoma ineligible for autologous stem cell transplantation: a phase 2 trial

Axicabtagene ciloleucel as second-line therapy in large B cell lymphoma ineligible for autologous stem cell transplantation: a phase 2 trial

[18F]DCFPyL PET/CT versus [18F]fluoromethylcholine PET/CT in Biochemical Recurrence of Prostate Cancer (PYTHON): a prospective, open label, cross-over, comparative study

Is There a Role of Artificial Intelligence in Preclinical Imaging?

Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis

Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis

IgG4-related disease and small lymphocytic lymphoma

Baseline circulating tumour DNA and total metabolic tumour volume as early outcome predictors in aggressive large B‐cell lymphoma. A real‐world 112‐patient cohort

Optimization of whole-body 2-[18F]FDG-PET/MRI imaging protocol for the initial staging of patients with myeloma

Integrative Study of a High-Grade B-Cell Lymphoma Cohort of 45 Patients: A Single Institution Real Life Study

A Molecular Classifier Increased the Accuracy of Lymphoma Diagnosis By Expert Pathologists in the Diffuse Large B-Cell Lymphoma Gained Trial from the Lysa

Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network

Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment

Whole-Body Functional MRI and PET/MRI in Multiple Myeloma

Prognostic Impact of Stromal Immune Infiltration before and after Neoadjuvant Chemotherapy (NAC) in Triple Negative Inflammatory Breast Cancers (TNIBC) Treated with Dose-Dense Dose-Intense NAC

Prognostic Impact of Stromal Immune Infiltration before and after Neoadjuvant Chemotherapy Treated with Dose-Dense Dose-Intense NAC

Extracardiac soft tissue uptake, evidenced on early 99m Tc-HMDP SPECT/CT, helps typing cardiac amyloidosis and demonstrates high prognostic value

Extracardiac soft tissue uptake, evidenced on early 99mTc-HMDP SPECT/CT, helps typing cardiac amyloidosis and demonstrates high prognostic value

Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer

Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction

Attenuation correction using 3D deep convolutional neural network for brain .sup.18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction.(Research Article)(computed tomography )(Positron emission tomography-magnetic resonance imaging)

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