Diffusion probabilistic versus generative adversarial models to reduce contrast agent dose in breast MRI by Gustav Müller-Franzes, Luisa Huck, Maike Bode, Sven Nebelung, Christiane Kuhl, Daniel Truhn, Teresa Lemainque

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Evaluation of Pulmonary Nodules by Radiologists vs. Radiomics in Stand-Alone and Complementary CT and MRI by Eric Tietz, Gustav Müller-Franzes, Markus Zimmermann, Christiane Katharina Kuhl, Sebastian Keil, Sven Nebelung, Daniel Truhn

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Reliability as a Precondition for Trust—Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction by Gustav Müller-Franzes, Sven Nebelung, Justus Schock, Christoph Haarburger, Firas Khader, Federico Pedersoli, Maximilian Schulze-Hagen, Christiane Kuhl, Daniel Truhn

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Fast, Accurate, and Robust T2 Mapping of Articular Cartilage by Neural Networks by Gustav Müller-Franzes, Teresa Nolte, Malin Ciba, Justus Schock, Firas Khader, Andreas Prescher, Lena Marie Wilms, Christiane Kuhl, Sven Nebelung, Daniel Truhn

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Medical large language models are susceptible to targeted misinformation attacks by Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Müller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn

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In-context learning enables multimodal large language models to classify cancer pathology images by Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, Omar S. M. El Nahhas, Gustav Müller-Franzes, Dirk Jäger, Daniel Truhn, Jakob Nikolas Kather

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Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation by Gustav Müller-Franzes, Fritz Müller-Franzes, Luisa Huck, Vanessa Raaff, Eva Kemmer, Firas Khader, Soroosh Tayebi Arasteh, Teresa Lemainque, Jakob Nikolas Kather, Sven Nebelung, Christiane Kuhl, Daniel Truhn

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A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis by Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Teresa Nolte, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn

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Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data by Firas Khader, Jakob Nikolas Kather, Gustav Müller-Franzes, Tianci Wang, Tianyu Han, Soroosh Tayebi Arasteh, Karim Hamesch, Keno Bressem, Christoph Haarburger, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Daniel Truhn

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

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Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging by Oliver Lester Saldanha, Jiefu Zhu, Gustav Müller-Franzes, Zunamys I. Carrero, Nicholas R. Payne, Lorena Escudero Sánchez, Paul Christophe Varoutas, Sreenath Kyathanahally, Narmin Ghaffari Laleh, Kevin Pfeiffer, Marta Ligero, Jakob Behner, Kamarul A. Abdullah, Georgios Apostolakos, Chrysafoula Kolofousi, Antri Kleanthous, Michail Kalogeropoulos, Cristina Rossi, Sylwia Nowakowska, Alexandra Athanasiou, Raquel Perez-Lopez, Ritse Mann, Wouter Veldhuis, Julia Camps, Volkmar Schulz, Markus Wenzel, Sergey Morozov, Alexander Ciritsis, Christiane Kuhl, Fiona J. Gilbert, Daniel Truhn, Jakob Nikolas Kather

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