Search Results - Truhn, Daniel

Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care: First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marr...

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Artificial intelligence and imaging for diagnostic and treatment challenges in breast care: first Deep Breast Workshop, Deep-Breath 2024 : held in conjunction with MICCAI 2024, Mar...

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Automatic structuring of radiology reports with on-premise open-source large language models by Woźnicki, Piotr (Author) , Laqua, Caroline (Author) , Fiku, Ina (Author) , Hekalo, Amar (Author) , Truhn, Daniel (Author) , Engelhardt, Sandy (Author) , Kather, Jakob Nikolas (Author) , Försch, Sebastian (Author) , D’Antonoli, Tugba Akinci (Author) , Pinto dos Santos, Daniel (Author) , Baeßler, Bettina (Author) , Laqua, Fabian Christopher (Author) ,

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From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology by El Nahhas, Omar S. M. (Author) , Treeck, Marko van (Author) , Wölflein, Georg (Author) , Unger, Michaela (Author) , Försch, Sebastian (Author) , Lenz, Tim (Author) , Wagner, Sophia J. (Author) , Hewitt, Katherine J. (Author) , Khader, Firas (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,

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Prompt injection attacks on vision language models in oncology by Clusmann, Jan Niklas (Author) , Ferber, Dyke (Author) , Wiest, Isabella (Author) , Schneider, Carolin Victoria (Author) , Brinker, Titus Josef (Author) , Försch, Sebastian (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,

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Encrypted federated learning for secure decentralized collaboration in cancer image analysis by Truhn, Daniel (Author) , Tayebi Arasteh, Soroosh (Author) , Saldanha, Oliver Lester (Author) , Müller-Franzes, Gustav (Author) , Khader, Firas (Author) , Quirke, Philip (Author) , West, Nicholas P. (Author) , Gray, Richard (Author) , Hutchins, Gordon G. A. (Author) , James, Jacqueline A. (Author) , Loughrey, Maurice B. (Author) , Salto-Tellez, Manuel (Author) , Brenner, Hermann (Author) , Brobeil, Alexander (Author) , Yuan, Tanwei (Author) , Chang-Claude, Jenny (Author) , Hoffmeister, Michael (Author) , Försch, Sebastian (Author) , Han, Tianyu (Author) , Keil, Sebastian (Author) , Schulze-Hagen, Maximilian (Author) , Isfort, Peter (Author) , Bruners, Philipp (Author) , Kaissis, Georgios (Author) , Kuhl, Christiane (Author) , Nebelung, Sven (Author) , Kather, Jakob Nikolas (Author) ,

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Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4) by Truhn, Daniel (Author) , Löffler, Chiara (Author) , Mueller-Franzes, Gustav (Author) , Nebelung, Sven (Author) , Hewitt, Katherine J. (Author) , Brandner, Sebastian (Author) , Bressem, Keno (Author) , Försch, Sebastian (Author) , Kather, Jakob Nikolas (Author) ,

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End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study by Jiang, Xiaofeng (Author) , Hoffmeister, Michael (Author) , Brenner, Hermann (Author) , Muti, Hannah Sophie (Author) , Yuan, Tanwei (Author) , Foersch, Sebastian (Author) , West, Nicholas P (Author) , Brobeil, Alexander (Author) , Jonnagaddala, Jitendra (Author) , Hawkins, Nicholas (Author) , Ward, Robyn L (Author) , Brinker, Titus Josef (Author) , Saldanha, Oliver Lester (Author) , Ke, Jia (Author) , Müller, Wolfram (Author) , Grabsch, Heike I (Author) , Quirke, Philip (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,

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Large language models and multimodal foundation models for precision oncology by Truhn, Daniel (Author) , Eckardt, Jan-Niklas (Author) , Ferber, Dyke (Author) , Kather, Jakob Nikolas (Author) ,

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Author correction: A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports by Truhn, Daniel (Author) , Weber, Christian D. (Author) , Braun, Benedikt J. (Author) , Bressem, Keno (Author) , Kather, Jakob Nikolas (Author) , Kuhl, Christiane (Author) , Nebelung, Sven (Author) ,

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Large language models could make natural language again the universal interface of healthcare by Kather, Jakob Nikolas (Author) , Ferber, Dyke (Author) , Wiest, Isabella (Author) , Gilbert, Stephen (Author) , Truhn, Daniel (Author) ,

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Privacy-preserving large language models for structured medical information retrieval by Wiest, Isabella (Author) , Ferber, Dyke (Author) , Zhu, Jiefu (Author) , van Treeck, Marko (Author) , Meyer, Sonja K. (Author) , Juglan, Radhika (Author) , Carrero, Zunamys I. (Author) , Paech, Daniel (Author) , Kleesiek, Jens Philipp (Author) , Ebert, Matthias (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,

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Weakly supervised deep learning in radiology by Misera, Leo (Author) , Müller-Franzes, Gustav (Author) , Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,

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Intraindividual comparison of different methods for automated BPE assessment at breast MRI: a call for standardization by Müller-Franzes, Gustav (Author) , Khader, Firas (Author) , Tayebi Arasteh, Soroosh (Author) , Huck, Luisa (Author) , Bode, Maike (Author) , Han, Tianyu (Author) , Lemainque, Teresa (Author) , Kather, Jakob Nikolas (Author) , Nebelung, Sven (Author) , Kuhl, Christiane (Author) , Truhn, Daniel (Author) ,

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Cascaded cross-attention networks for data-efficient whole-slide image classification using transformers by Khader, Firas (Author) , Kather, Jakob Nikolas (Author) , Han, Tianyu (Author) , Nebelung, Sven (Author) , Kuhl, Christiane (Author) , Stegmaier, Johannes (Author) , Truhn, Daniel (Author) ,

Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining by Han, Tianyu (Author) , Žigutytė, Laura (Author) , Huck, Luisa (Author) , Huppertz, Marc Sebastian (Author) , Siepmann, Robert (Author) , Gandelsman, Yossi (Author) , Blüthgen, Christian (Author) , Khader, Firas (Author) , Kuhl, Christiane (Author) , Nebelung, Sven (Author) , Kather, Jakob Nikolas (Author) , Truhn, Daniel (Author) ,

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

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

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Synthetic chest X-ray images from text prompts by Truhn, Daniel (Author) , Kather, Jakob Nikolas (Author) ,

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Large language models for structured reporting in radiology: past, present, and future by Busch, Felix (Author) , Hoffmann, Lena (Author) , dos Santos, Daniel Pinto (Author) , Makowski, Marcus R. (Author) , Saba, Luca (Author) , Prucker, Philipp (Author) , Hadamitzky, Martin (Author) , Navab, Nassir (Author) , Kather, Jakob Nikolas (Author) , Truhn, Daniel (Author) , Cuocolo, Renato (Author) , Adams, Lisa C. (Author) , Bressem, Keno K. (Author) ,

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