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1 - 10 von 12

	1	Challenges in developing and validating machine learning models for TAVI mortality risk prediction: reply Leha, Andreas. - Freiburg : Universität, 2024
	2	Development and validation of explainable machine learning models for risk of mortality in transcatheter aortic valve implantation: TAVI risk machine scores Leha, Andreas. - Freiburg : Universität, 2023
	3	Does Hepatic Steatosis Influence the Detection Rate of Metastases in the Hepatobiliary Phase of Gadoxetic Acid-Enhanced MRI? Steffen, Ingo G.. - Leipzig : Universitätsbibliothek Leipzig, 2023
	4	Intrinsic dimension adaptive learning rates for kernel methods Hamm, Thomas. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2022
	5	Enhancing the differentiation of pulmonary lymphoma and fungal pneumonia in hematological patients using texture analysis in 3-T MRI Enthalten in European radiology 21.8.2020: 1-11
	6	Diagnosis of Left Ventricular Diastolic Dysfunction Using Cardiac Magnetic Resonance Imaging: Comparison of Volume-Time Curves Derived from Long- and Short-Axis Cine Steady-State Free Precession Datasets Enthalten in RöFo 2020
	7	Diagnostic Performance and Reliability of Non-Enhanced Imaging Characterization Quotients for the Differentiation of Infectious and Malignant Pulmonary Nodules in Hematological Patients Using 3T MRI Enthalten in RöFo 2019
	8	Eine lebensstilistische Segmentierung des Jugendmarktes Hamm, Ingo, 2003
	9	CT radiomics to predict Deauville score 4 positive and negative Hodgkin lymphoma manifestations Enthalten in Scientific reports Bd. 12, 21.11.2022, Nr. 1, date:12.2022: 1-9
	10	Effects of parametric feature maps on the reproducibility of radiomics from different fields of view in cardiac magnetic resonance cine images– a clinical and experimental study setting Enthalten in The international journal of cardiovascular imaging Bd. 41, 23.4.2025, Nr. 6, date:6.2025: 1173-1184