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Prospective comparison of the diagnostic accuracy of 18F-FDG PET/MRI, MRI, CT, and bone scintigraphy for the detection of bone metastases in the initial staging of primary breast cancer patients

European radiology, 2021-11, Vol.31 (11), p.8714-8724

2021

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Pediatric age estimation from thoracic and abdominal CT scout views using deep learning

Scientific reports, 2023-02, Vol.13 (1), p.2274-2274, Article 2274

2023

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PET/MRI Versus PET/CT for Whole-Body Staging: Results from a Single-Center Observational Study on 1,003 Sequential Examinations

Journal of Nuclear Medicine, 2020-08, Vol.61 (8), p.1131-1136

2020

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Reproducibility and Repeatability of MR Fingerprinting Relaxometry in the Human Brain

Radiology, 2019-08, Vol.292 (2), p.429

2019

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Just another “Clever Hans”? Neural networks and FDG PET-CT to predict the outcome of patients with breast cancer

European journal of nuclear medicine and molecular imaging, 2021-09, Vol.48 (10), p.3141-3150

2021

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Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network

European radiology, 2021-08, Vol.31 (8), p.6087-6095

2021

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A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancer

PloS one, 2020-06, Vol.15 (6), p.e0234871

2020

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Comparison of nodal staging between CT, MRI, and [18F]-FDG PET/MRI in patients with newly diagnosed breast cancer

European journal of nuclear medicine and molecular imaging, 2022-02, Vol.49 (3), p.992-1001

2022

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Detecting the pulmonary trunk in CT scout views using deep learning

Scientific reports, 2021-05, Vol.11 (1), p.10215-7, Article 10215

2021

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Accuracy of [18F]FDG PET/MRI for the Detection of Liver Metastases

PloS one, 2015-09, Vol.10 (9), p.e0137285-e0137285

2015

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Determining body height and weight from thoracic and abdominal CT localizers in pediatric and young adult patients using deep learning

Scientific reports, 2023-11, Vol.13 (1), p.19010-19010, Article 19010

2023

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Improving staging of rectal cancer in the pelvis: the role of PET/MRI

European journal of nuclear medicine and molecular imaging, 2021-04, Vol.48 (4), p.1235-1245

2021

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18 F-FDG-PET/MRI in patients with Graves’ orbitopathy

Graefe's archive for clinical and experimental ophthalmology, 2021-10, Vol.259 (10), p.3107-3117

2021

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Determining the anatomical site in knee radiographs using deep learning

Scientific reports, 2022-03, Vol.12 (1), p.3995-3995, Article 3995

2022

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Impact of respiratory motion correction on lesion visibility and quantification in thoracic PET/MR imaging

PloS one, 2020-06, Vol.15 (6), p.e0233209-e0233209

2020

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PET/MRI assessment of lung nodules in primary abdominal malignancies: sensitivity and outcome analysis

European journal of nuclear medicine and molecular imaging, 2021-06, Vol.48 (6), p.1976-1986

2021

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Clinical Use of PET/MR in Oncology: An Update

Seminars in nuclear medicine, 2022-05, Vol.52 (3), p.356-364

2022

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The importance of educational tools and a new software solution for visualizing and quantifying report correction in radiology training

Scientific reports, 2024-01, Vol.14 (1), p.1172-1172, Article 1172

2024

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Towards fast whole-body PET/MR: Investigation of PET image quality versus reduced PET acquisition times

PloS one, 2018-10, Vol.13 (10), p.e0206573-e0206573

2018

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PET/MR imaging of pelvic malignancies

European journal of radiology, 2017-09, Vol.94, p.A44-A51

2017

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Separating the wheat from the chaff—COVID-19 in a German emergency department: a case-control study

International journal of emergency medicine, 2020-08, Vol.13 (1), p.1-9, Article 44

2020

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Impact of EBUS-TBNA in addition to [18F]FDG-PET/CT imaging on target volume definition for radiochemotherapy in stage III NSCLC

European journal of nuclear medicine and molecular imaging, 2021-08, Vol.48 (9), p.2894-2903

2021

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Factors associated with contralateral liver hypertrophy after unilateral radioembolization for hepatocellular carcinoma

PloS one, 2017-07, Vol.12 (7), p.e0181488-e0181488

2017

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Evaluation of improved attenuation correction in whole-body PET/MR on patients with bone metastasis using various radiotracers

European journal of nuclear medicine and molecular imaging, 2020-09, Vol.47 (10), p.2269-2279

2020

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Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis

Scientific reports, 2024-04, Vol.14 (1), p.9465-9465, Article 9465

2024

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Prospective comparison of the diagnostic accuracy of 18F-FDG PET/MRI, MRI, CT, and bone scintigraphy for the detection of bone metastases in the initial staging of primary breast cancer patients

Pediatric age estimation from thoracic and abdominal CT scout views using deep learning

PET/MRI Versus PET/CT for Whole-Body Staging: Results from a Single-Center Observational Study on 1,003 Sequential Examinations

Reproducibility and Repeatability of MR Fingerprinting Relaxometry in the Human Brain

Just another “Clever Hans”? Neural networks and FDG PET-CT to predict the outcome of patients with breast cancer

Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network

A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancer

Comparison of nodal staging between CT, MRI, and [18F]-FDG PET/MRI in patients with newly diagnosed breast cancer

Detecting the pulmonary trunk in CT scout views using deep learning

Accuracy of [18F]FDG PET/MRI for the Detection of Liver Metastases

Determining body height and weight from thoracic and abdominal CT localizers in pediatric and young adult patients using deep learning

Improving staging of rectal cancer in the pelvis: the role of PET/MRI

18 F-FDG-PET/MRI in patients with Graves’ orbitopathy

Determining the anatomical site in knee radiographs using deep learning

Impact of respiratory motion correction on lesion visibility and quantification in thoracic PET/MR imaging

PET/MRI assessment of lung nodules in primary abdominal malignancies: sensitivity and outcome analysis

Clinical Use of PET/MR in Oncology: An Update

The importance of educational tools and a new software solution for visualizing and quantifying report correction in radiology training

Towards fast whole-body PET/MR: Investigation of PET image quality versus reduced PET acquisition times

PET/MR imaging of pelvic malignancies

Separating the wheat from the chaff—COVID-19 in a German emergency department: a case-control study

Impact of EBUS-TBNA in addition to [18F]FDG-PET/CT imaging on target volume definition for radiochemotherapy in stage III NSCLC

Factors associated with contralateral liver hypertrophy after unilateral radioembolization for hepatocellular carcinoma

Evaluation of improved attenuation correction in whole-body PET/MR on patients with bone metastasis using various radiotracers

Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis

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