Publications

(2020). Image-Based Cardiac Diagnosis With Machine Learning - A Review. Frontiers in Cardiovascular Medicine.

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(2019). Accuracy of Radiomics-Based Feature Analysis on Multiparametric Magnetic Resonance Images for Noninvasive Meningioma Grading. World Neurosurgery.

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(2019). Peripheral Vascular Anomalies – Essentials in Periinterventional Imaging. RoFo - Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

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(2019). Machine learning in cardiovascular magnetic resonance - basic concepts and applications. Journal of Cardiovascular Magnetic Resonance.

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(2019). Structured report data can be used to develop deep learning algorithms - a proof of concept in ankle radiographs. Insights into Imaging.

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(2019). Precision, reproducibility and applicability of an undersampled multi-venc 4D flow MRI sequence for the assessment of cardiac hemodynamics. Magnetic Resonance Imaging.

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(2019). Systematic prostate biopsy still matters - A comprehensive analysis of MRI/TRUS-fusion targeted prostate biopsies across different indications. Urologic Oncology.

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(2019). Cardiac MRI and Texture Analysis of Myocardial T1 and T2 Maps in Myocarditis with Acute versus Chronic Symptoms of Heart Failure. Radiology.

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(2019). Medical students' attitude towards artificial intelligence - a multicentre survey. European Radiology.

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(2019). Robustness and Reproducibility of Radiomics in Magnetic Resonance Imaging - A Phantom Study. Investigative Radiology.

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(2018). The role of cardiovascular magnetic resonance imaging in rheumatic heart disease. Clinical and experimental rheumatology.

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(2018). Cardiac MRI Texture Analysis of T1 and T2 Maps in Patients with Infarctlike Acute Myocarditis. Radiology.

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(2018). Texture analysis and machine learning of non-contrast T1-weighted MR images in patients with hypertrophic cardiomyopathy-Preliminary results. European journal of radiology.

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(2017). Subacute and Chronic Left Ventricular Myocardial Scar - Accuracy of Texture Analysis on Nonenhanced Cine MR Images. Radiology.

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