The Importance of Patients When Measuring Outcome Measures von Baessler, K.

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2. Case scenarios 1: Trauma based approach: from instability to stability von Baessler, F.

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Editorial von Baessler, Kaven

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Editorial von Baessler, Kaven

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Editorial von Baessler, Kaven

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Radiomics in medical imaging—“how-to” guide and critical reflection von van Timmeren, Janita E., Cester, Davide, Tanadini-Lang, Stephanie, Alkadhi, Hatem, Baessler, Bettina

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Early Career Psychiatrists in Education and Academia in Europe – Challenges and Ways Forward von Baessler, F.

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Covid-19: knowledge, risk perception, trust and vaccination readiness among German medical students von Baessler, F.

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Medical students' attitude towards artificial intelligence: a multicentre survey von Pinto dos Santos, D., Giese, D., Brodehl, S., Chon, S. H., Staab, W., Kleinert, R., Maintz, D., Baeßler, B.

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Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance von Dratsch, Thomas, Chen, Xue, Rezazade Mehrizi, Mohammad, Kloeckner, Roman, Mähringer-Kunz, Aline, Püsken, Michael, Baeßler, Bettina, Sauer, Stephanie, Maintz, David, Pinto Dos Santos, Daniel

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A decade of radiomics research: are images really data or just patterns in the noise? von Pinto dos Santos, Daniel, Dietzel, Matthias, Baessler, Bettina

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Noncontrast Quantitative Imaging Biomarkers Reflecting Myocardial Tissue Heterogeneity: The Future of Cardiac Magnetic Resonance Imaging? von Baessler, Bettina

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Noncontrast Quantitative Imaging Biomarkers Reflecting Myocardial Tissue Heterogeneity von Baessler, Bettina

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Denoising diffusion probabilistic models for 3D medical image generation von Khader, Firas, Müller-Franzes, Gustav, Tayebi Arasteh, Soroosh, Han, Tianyu, Haarburger, Christoph, Schulze-Hagen, Maximilian, Schad, Philipp, Engelhardt, Sandy, Baeßler, Bettina, Foersch, Sebastian, Stegmaier, Johannes, Kuhl, Christiane, Nebelung, Sven, Kather, Jakob Nikolas, Truhn, Daniel

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Beyond-Standard-Model Tensor Interaction and Hadron Phenomenology von Courtoy, Aurore, Baeßler, Stefan, González-Alonso, Martín, Liuti, Simonetta

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Machine learning in cardiovascular magnetic resonance: basic concepts and applications von Leiner, Tim, Rueckert, Daniel, Suinesiaputra, Avan, Baeßler, Bettina, Nezafat, Reza, Išgum, Ivana, Young, Alistair A

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Reflections on 2024: Advancing Research and Impact in Urogynecology von Baessler, Kaven, Bortolini, Maria

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Editorial von Baessler, Kaven

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Texture analysis and machine learning of non-contrast T1-weighted MR images in patients with hypertrophic cardiomyopathy—Preliminary results von Baeßler, Bettina, Mannil, Manoj, Maintz, David, Alkadhi, Hatem, Manka, Robert

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“The role of artificial intelligence in the future of urogynecology” by Yair Daykan, Barry A. O'Reilly von Baessler, Kaven, Bortolini, Maria

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