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Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis

Clinical imaging, 2022-01, Vol.81, p.54-59

2022

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Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach

Journal of Nuclear Medicine, 2020-02, Vol.61 (2), p.298-303

2020

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Impact of the COVID-19 pandemic on nuclear medicine departments in Europe

European journal of nuclear medicine and molecular imaging, 2021-10, Vol.48 (11), p.3361-3364

2021

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Metabolic parameters of [18F]FDG PET-CT before and after radiotherapy may predict survival and recurrence in cervical cancer

Acta oncologica, 2023-02, Vol.62 (2), p.180-188

2023

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Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases

European journal of radiology, 2019-04, Vol.113, p.89-95

2019

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RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology

EJNMMI physics, 2020-08, Vol.7 (1), p.51-51, Article 51

2020

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EANM procedural guidelines for radionuclide myocardial perfusion imaging with SPECT and SPECT/CT: 2015 revision

European journal of nuclear medicine and molecular imaging, 2015-11, Vol.42 (12), p.1929-1940

2015

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Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin’s lymphoma patients staged with FDG-PET/CT

Scientific reports, 2021-05, Vol.11 (1), p.10382-10382, Article 10382

2021

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Improving sensitivity through data augmentation with synthetic lymph node metastases for AI‐based analysis of PSMA PET‐CT images

Clinical physiology and functional imaging, 2024-07, Vol.44 (4), p.332-339

2024

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Tumor Detection of 18F-PSMA-1007 in the Prostate Gland in Patients with Prostate Cancer Using Prostatectomy Specimens as Reference Method

The Journal of nuclear medicine (1978), 2021-12, Vol.62 (12), p.1735-1740

2021

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Tumor detection of 18 F-PSMA-1007 in the prostate gland in patients with prostate cancer using prostatectomy specimens as reference method

Journal of Nuclear Medicine, 2021-12, Vol.62 (12), p.1735-1740

2021

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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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[18F]PSMA‐1007 renal uptake parameters: Reproducibility and relationship to estimated glomerular filtration rate

Clinical physiology and functional imaging, 2023-03, Vol.43 (2), p.128-135

2023

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Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging

Seminars in nuclear medicine, 2024-01, Vol.54 (1), p.141-149

2024

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A Preanalytic Validation Study of Automated Bone Scan Index: Effect on Accuracy and Reproducibility Due to the Procedural Variabilities in Bone Scan Image Acquisition

Journal of Nuclear Medicine, 2016-12, Vol.57 (12), p.1865-1871

2016

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Patterns of pathologic lymph nodes in anal cancer: a PET-CT-based analysis with implications for radiotherapy treatment volumes

BMC cancer, 2021-04, Vol.21 (1), p.447-9, Article 447

2021

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Assessing the accuracy of [18F]PSMA-1007 PET/CT for primary staging of lymph node metastases in intermediate- and high-risk prostate cancer patients

EJNMMI research, 2022-08, Vol.12 (1), p.48-48, Article 48

2022

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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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Post-reconstruction enhancement of [18F]FDG PET images with a convolutional neural network

EJNMMI research, 2021-05, Vol.11 (1), p.48-10, Article 48

2021

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Complete metabolic response with [18F]fluorodeoxyglucose‐positron emission tomography/computed tomography predicts survival following induction chemotherapy and radical cystectomy in clinically lymph node positive bladder cancer

BJU international, 2022-02, Vol.129 (2), p.174-181

2022

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Relationship between somatostatin receptor expressing tumour volume and health‐related quality of life in patients with metastatic GEP‐NET

Journal of neuroendocrinology, 2022-06, Vol.34 (6), p.e13139-n/a

2022

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First clinical experience of a ring‐configured cadmium zinc telluride camera: A comparative study versus conventional gamma camera systems

Clinical physiology and functional imaging, 2024-01, Vol.44 (1), p.79-88

2024

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Optimization of [18F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer

EJNMMI physics, 2020-05, Vol.7 (1), p.31-31, Article 31

2020

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[18F]PSMA-1007 PET is comparable to [99mTc]Tc-DMSA SPECT for renal cortical imaging

European journal of hybrid imaging, 2023-11, Vol.7 (1), p.25-25, Article 25

2023

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Head-to-head comparison of a Si-photomultiplier-based and a conventional photomultiplier-based PET-CT system

EJNMMI physics, 2021-02, Vol.8 (1), p.19-12, Article 19

2021

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Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis

Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach

Impact of the COVID-19 pandemic on nuclear medicine departments in Europe

Metabolic parameters of [18F]FDG PET-CT before and after radiotherapy may predict survival and recurrence in cervical cancer

Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases

RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology

EANM procedural guidelines for radionuclide myocardial perfusion imaging with SPECT and SPECT/CT: 2015 revision

Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin’s lymphoma patients staged with FDG-PET/CT

Improving sensitivity through data augmentation with synthetic lymph node metastases for AI‐based analysis of PSMA PET‐CT images

Tumor Detection of 18F-PSMA-1007 in the Prostate Gland in Patients with Prostate Cancer Using Prostatectomy Specimens as Reference Method

Tumor detection of 18 F-PSMA-1007 in the prostate gland in patients with prostate cancer using prostatectomy specimens as reference method

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

[18F]PSMA‐1007 renal uptake parameters: Reproducibility and relationship to estimated glomerular filtration rate

Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging

A Preanalytic Validation Study of Automated Bone Scan Index: Effect on Accuracy and Reproducibility Due to the Procedural Variabilities in Bone Scan Image Acquisition

Patterns of pathologic lymph nodes in anal cancer: a PET-CT-based analysis with implications for radiotherapy treatment volumes

Assessing the accuracy of [18F]PSMA-1007 PET/CT for primary staging of lymph node metastases in intermediate- and high-risk prostate cancer patients

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

Post-reconstruction enhancement of [18F]FDG PET images with a convolutional neural network

Complete metabolic response with [18F]fluorodeoxyglucose‐positron emission tomography/computed tomography predicts survival following induction chemotherapy and radical cystectomy in clinically lymph node positive bladder cancer

Relationship between somatostatin receptor expressing tumour volume and health‐related quality of life in patients with metastatic GEP‐NET

First clinical experience of a ring‐configured cadmium zinc telluride camera: A comparative study versus conventional gamma camera systems

Optimization of [18F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer

[18F]PSMA-1007 PET is comparable to [99mTc]Tc-DMSA SPECT for renal cortical imaging

Head-to-head comparison of a Si-photomultiplier-based and a conventional photomultiplier-based PET-CT system

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