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Improved quantification of small hearts for gated myocardial perfusion imaging

European journal of nuclear medicine and molecular imaging, 2013-08, Vol.40 (8), p.1163-1170

2013

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Quality of planar whole-body bone scan interpretations—a nationwide survey

European Journal of Nuclear Medicine, 2008-08, Vol.35 (8), p.1464-1472

2008

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Global disease score (GDS) is the name of the game

European journal of nuclear medicine and molecular imaging, 2019-08, Vol.46 (9), p.1768-1772

2019

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Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians

European journal of nuclear medicine and molecular imaging, 2022, Vol.49 (10), p.3412-3418

2022

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Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [ 18 F]FDG PET/CT predicts survival in multiple myeloma

European journal of nuclear medicine and molecular imaging, 2024-03, Vol.In Press

2024

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Application of an artificial intelligence-based tool in [18F]FDG PET/CT for the assessment of bone marrow involvement in multiple myeloma

European journal of nuclear medicine and molecular imaging, 2023-10, Vol.50 (12), p.3697-3708

2023

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Evaluation of a decision support system for interpretation of myocardial perfusion gated SPECT

European Journal of Nuclear Medicine, 2008-08, Vol.35 (8), p.1523-1529

2008

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Quantification of myocardial perfusion defects using three different software packages

European journal of nuclear medicine and molecular imaging, 2004-02, Vol.31 (2), p.229-232

2004

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Application of an artificial intelligence-based tool in F-18 FDG PET/CT for the assessment of bone marrow involvement in multiple myeloma

European journal of nuclear medicine and molecular imaging, 2023, Vol.50 (12), p.3697

2023

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Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study

European journal of nuclear medicine and molecular imaging, 2017-12, Vol.44 (13), p.2280-2289

2017

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Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence: The PET index

European journal of nuclear medicine and molecular imaging, 2023, Vol.50 (5), p.1510-1520

2023

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EANM/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology

European journal of nuclear medicine and molecular imaging, 2005-07, Vol.32 (7), p.855-897

2005

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Variability in reference levels for Deauville classifications applied to lymphoma patients examined with 18F-FDG-PET/CT

European journal of nuclear medicine and molecular imaging, 2017, Vol.44

2017

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Automated quantification of reference levels in liver and mediastinum (blood pool) for the Deauville therapy response classification using FDG-PET/CT in lymphoma patients

European journal of nuclear medicine and molecular imaging, 2017, Vol.44 (supplement 2)

2017

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EANM/ESC guidelines for radionuclide imaging of cardiac function

European journal of nuclear medicine and molecular imaging, 2008-04, Vol.35 (4), p.851-885

2008

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Automated evaluation of normal uptake in different skeletal parts using 18F-sodium fluoride (NaF) PET/CT using a new convolutional neural network method

European journal of nuclear medicine and molecular imaging, 2017, Vol.44 (Supplement 2)

2017

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Convolutional neural networks for segmentation of 49 selected bones in CT images show high reproducibility

European journal of nuclear medicine and molecular imaging, 2017, Vol.44 (Supplement 2)

2017

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Convolutional neural network based quantification of choline uptake in PET/CT studies is associated with overall survival in patients with prostate cancer

European journal of nuclear medicine and molecular imaging, 2017, Vol.44 (supplement 2)

2017

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Analytical validation of an automated method for segmentation of the prostate gland in CT images

European journal of nuclear medicine and molecular imaging, 2017, Vol.44 (supplement issue 2)

2017

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A decision support system improves the interpretation of myocardial perfusion imaging

European Journal of Nuclear Medicine, 2008-09, Vol.35 (9), p.1602-1607

2008

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Role of ventilation scintigraphy in diagnosis of acute pulmonary embolism: an evaluation using artificial neural networks

European journal of nuclear medicine and molecular imaging, 2003-07, Vol.30 (7), p.961-965

2003

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An independent evaluation of a new method for automated interpretation of lung scintigrams using artificial neural networks

European Journal of Nuclear Medicine, 2001-01, Vol.28 (1), p.33-38

2001

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The optimal reference population for cardiac normality in myocardial SPET in the detection of coronary artery stenoses: patients with normal coronary angiography or subjects with low likelihood of coronary artery disease?

European Journal of Nuclear Medicine, 2001-07, Vol.28 (7), p.831-835

2001

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Automated interpretation of ventilation-perfusion lung scintigrams for the diagnosis of pulmonary embolism using artificial neural networks

European journal of nuclear medicine, 2000-04, Vol.27 (4), p.400-406

2000

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Improved quantification of small hearts for gated myocardial perfusion imaging

Quality of planar whole-body bone scan interpretations—a nationwide survey

Global disease score (GDS) is the name of the game

Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians

Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [ 18 F]FDG PET/CT predicts survival in multiple myeloma

Application of an artificial intelligence-based tool in [18F]FDG PET/CT for the assessment of bone marrow involvement in multiple myeloma

Evaluation of a decision support system for interpretation of myocardial perfusion gated SPECT

Quantification of myocardial perfusion defects using three different software packages

Application of an artificial intelligence-based tool in F-18 FDG PET/CT for the assessment of bone marrow involvement in multiple myeloma

Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study

Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence: The PET index

EANM/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology

Variability in reference levels for Deauville classifications applied to lymphoma patients examined with 18F-FDG-PET/CT

Automated quantification of reference levels in liver and mediastinum (blood pool) for the Deauville therapy response classification using FDG-PET/CT in lymphoma patients

EANM/ESC guidelines for radionuclide imaging of cardiac function

Automated evaluation of normal uptake in different skeletal parts using 18F-sodium fluoride (NaF) PET/CT using a new convolutional neural network method

Convolutional neural networks for segmentation of 49 selected bones in CT images show high reproducibility

Convolutional neural network based quantification of choline uptake in PET/CT studies is associated with overall survival in patients with prostate cancer

Analytical validation of an automated method for segmentation of the prostate gland in CT images

A decision support system improves the interpretation of myocardial perfusion imaging

Role of ventilation scintigraphy in diagnosis of acute pulmonary embolism: an evaluation using artificial neural networks

An independent evaluation of a new method for automated interpretation of lung scintigrams using artificial neural networks

The optimal reference population for cardiac normality in myocardial SPET in the detection of coronary artery stenoses: patients with normal coronary angiography or subjects with low likelihood of coronary artery disease?

Automated interpretation of ventilation-perfusion lung scintigrams for the diagnosis of pulmonary embolism using artificial neural networks

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