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

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

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

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

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

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

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

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

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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