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Feasibility of artificial intelligence–supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein — a retrospective observational study

European radiology, 2022-05, Vol.32 (5), p.2901-2911

2022

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Life cycle adapted upstream open reading frames (uORFs) in Trypanosoma congolense: A post-transcriptional approach to accurate gene regulation

PloS one, 2018-08, Vol.13 (8), p.e0201461-e0201461

2018

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Body composition on low dose chest CT is a significant predictor of poor clinical outcome in COVID-19 disease - A multicenter feasibility study

European journal of radiology, 2020-11, Vol.132, p.109274-109274, Article 109274

2020

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Calcification of the thoracic aorta on low-dose chest CT predicts severe COVID-19

PloS one, 2020-12, Vol.15 (12), p.e0244267

2020

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Quantitative determination of pulmonary emphysema in follow-up LD-CTs of patients with COVID-19 infection

PloS one, 2022-02, Vol.17 (2), p.e0263261-e0263261

2022

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Physiological iodine uptake of the spine's bone marrow in dual-energy computed tomography - using artificial intelligence to define reference values based on 678 CT examinations of 189 individuals

Frontiers in endocrinology (Lausanne), 2023-05, Vol.14, p.1098898-1098898

2023

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Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects

Diagnostics (Basel), 2023-01, Vol.13 (3), p.418

2023

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ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language

Frontiers in radiology, 2024-07, Vol.4, p.1390774

2024

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Radiotherapy Response Assessment of Multiple Myeloma: A Dual-Energy CT Approach With Virtual Non-Calcium Images

Frontiers in oncology, 2021-09, Vol.11, p.734819-734819

2021

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Dual-Energy CT, Virtual Non-Calcium Bone Marrow Imaging of the Spine: An AI-Assisted, Volumetric Evaluation of a Reference Cohort with 500 CT Scans

Diagnostics (Basel), 2022-03, Vol.12 (3), p.671

2022

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Contrast-Enhanced Black Blood MRI Sequence Is Superior to Conventional T1 Sequence in Automated Detection of Brain Metastases by Convolutional Neural Networks

Diagnostics (Basel), 2021-06, Vol.11 (6), p.1016

2021

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Instabilität des Ellenbogengelenks

Radiologie up2date, 2021-09, Vol.21 (3), p.271-287

2021

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Life cycle adapted upstream open reading frames

PloS one, 2018-08, Vol.13 (8), p.e0201461

2018

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Virtual calcium-suppression in dual energy computed tomography predicts metabolic activity of focal MM lesions as determined by fluorodeoxyglucose positron-emission-tomography

European journal of radiology, 2021-02, Vol.135, p.109502-109502, Article 109502

2021

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Early extrapulmonary prognostic features in chest computed tomography in COVID-19 pneumonia: Bone mineral density is a relevant predictor for the clinical outcome - A multicenter feasibility study

Bone (New York, N.Y.), 2021-03, Vol.144, p.115790-115790, Article 115790

2021

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Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy

Radiology, 2024-04, Vol.311 (1), p.e232714

2024

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Association between pouch morphology, cardiovascular risk factors and ischemic brain lesions in patients with left-sided septal pouches

Clinical imaging, 2023-08, Vol.100, p.36-41

2023

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Monitoring Patients with Glioblastoma by Using a Large Language Model: Accurate Summarization of Radiology Reports with GPT-4

Radiology, 2024-07, Vol.312 (1)

2024

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Correlation of head screw lengths in proximal humerus nailing: a CT-based study on 289 cases

Archives of orthopaedic and trauma surgery, 2023-08, Vol.143 (8), p.5027-5034

2023

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AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study

European radiology, 2023-06, Vol.33 (6), p.4280-4291

2023

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Cooperative AI training for cardiothoracic segmentation in computed tomography: An iterative multi-center annotation approach

European journal of radiology, 2024-07, Vol.176, p.111534, Article 111534

2024

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Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches-an international, multi-center comparative study

Quantitative imaging in medicine and surgery, 2022-11, Vol.12 (11), p.5156-5170

2022

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The worldwide COVID-19 pandemic caused a decline in sonographic examinations – is this a continuing trend?

RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebende Verfahren, 2024-03

2024

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Meaningful use of imaging resources to rule out cerebral venous sinus thrombosis after ChAdOx1 COVID-19 vaccination: Evaluation of the AHA diagnostic algorithm with a clinical cohort and a systematic data review

Journal of clinical neuroscience, 2022-08, Vol.102, p.5-12

2022

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Feasibility of artificial intelligence–supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein — a retrospective observational study

Life cycle adapted upstream open reading frames (uORFs) in Trypanosoma congolense: A post-transcriptional approach to accurate gene regulation

Body composition on low dose chest CT is a significant predictor of poor clinical outcome in COVID-19 disease - A multicenter feasibility study

Calcification of the thoracic aorta on low-dose chest CT predicts severe COVID-19

Quantitative determination of pulmonary emphysema in follow-up LD-CTs of patients with COVID-19 infection

Physiological iodine uptake of the spine's bone marrow in dual-energy computed tomography - using artificial intelligence to define reference values based on 678 CT examinations of 189 individuals

Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects

ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language

Radiotherapy Response Assessment of Multiple Myeloma: A Dual-Energy CT Approach With Virtual Non-Calcium Images

Dual-Energy CT, Virtual Non-Calcium Bone Marrow Imaging of the Spine: An AI-Assisted, Volumetric Evaluation of a Reference Cohort with 500 CT Scans

Contrast-Enhanced Black Blood MRI Sequence Is Superior to Conventional T1 Sequence in Automated Detection of Brain Metastases by Convolutional Neural Networks

A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data

Instabilität des Ellenbogengelenks

Life cycle adapted upstream open reading frames

Virtual calcium-suppression in dual energy computed tomography predicts metabolic activity of focal MM lesions as determined by fluorodeoxyglucose positron-emission-tomography

Early extrapulmonary prognostic features in chest computed tomography in COVID-19 pneumonia: Bone mineral density is a relevant predictor for the clinical outcome - A multicenter feasibility study

Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy

Association between pouch morphology, cardiovascular risk factors and ischemic brain lesions in patients with left-sided septal pouches

Monitoring Patients with Glioblastoma by Using a Large Language Model: Accurate Summarization of Radiology Reports with GPT-4

Correlation of head screw lengths in proximal humerus nailing: a CT-based study on 289 cases

AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study

Cooperative AI training for cardiothoracic segmentation in computed tomography: An iterative multi-center annotation approach

Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches-an international, multi-center comparative study

The worldwide COVID-19 pandemic caused a decline in sonographic examinations – is this a continuing trend?

Meaningful use of imaging resources to rule out cerebral venous sinus thrombosis after ChAdOx1 COVID-19 vaccination: Evaluation of the AHA diagnostic algorithm with a clinical cohort and a systematic data review

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