Comparing different deep learning architectures for classification of chest radiographs von Bressem, Keno K., Adams, Lisa C., Erxleben, Christoph, Hamm, Bernd, Niehues, Stefan M., Vahldiek, Janis L.

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Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study von Adams, Lisa C, Truhn, Daniel, Busch, Felix, Kader, Avan, Niehues, Stefan M, Makowski, Marcus R, Bressem, Keno K

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Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions von Han, Tianyu, Adams, Lisa C, Bressem, Keno K, Busch, Felix, Nebelung, Sven, Truhn, Daniel

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What Does DALL-E 2 Know About Radiology? von Adams, Lisa C, Busch, Felix, Truhn, Daniel, Makowski, Marcus R, Aerts, Hugo J W L, Bressem, Keno K

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Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties von Busch, Felix, Han, Tianyu, Makowski, Marcus R, Truhn, Daniel, Bressem, Keno K, Adams, Lisa

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Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance von Bressem, Keno K, Vahldiek, Janis L, Adams, Lisa, Niehues, Stefan Markus, Haibel, Hildrun, Rodriguez, Valeria Rios, Torgutalp, Murat, Protopopov, Mikhail, Proft, Fabian, Rademacher, Judith, Sieper, Joachim, Rudwaleit, Martin, Hamm, Bernd, Makowski, Marcus R, Hermann, Kay-Geert, Poddubnyy, Denis

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Editorial for “An Unsupervised Deep Learning Approach for Dynamic‐Exponential Intravoxel Incoherent Motion MRI Modeling and Parameter Estimation in the Liver” von Adams, Lisa C., Bressem, Keno K.

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Biomedical Ethical Aspects Towards the Implementation of Artificial Intelligence in Medical Education von Busch, Felix, Adams, Lisa C., Bressem, Keno K.

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Multilingual feasibility of GPT-4o for automated Voice-to-Text CT and MRI report transcription von Busch, Felix, Prucker, Philipp, Komenda, Alexander, Ziegelmayer, Sebastian, Makowski, Marcus R, Bressem, Keno K, Adams, Lisa C

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Assessment of the extracellular volume fraction for the grading of clear cell renal cell carcinoma: first results and histopathological findings von Adams, Lisa C., Jurmeister, Philipp, Ralla, Bernhard, Bressem, Keno K., Fahlenkamp, Ute L., Engel, Guenther, Siepmann, Stefan, Wagner, Moritz, Hamm, Bernd, Busch, Jonas, Makowski, Marcus R.

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Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports von Bressem, Keno K, Adams, Lisa C, Gaudin, Robert A, Tröltzsch, Daniel, Hamm, Bernd, Makowski, Marcus R, Schüle, Chan-Yong, Vahldiek, Janis L, Niehues, Stefan M

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Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection von Adams, Lisa C., Makowski, Marcus R., Engel, Günther, Rattunde, Maximilian, Busch, Felix, Asbach, Patrick, Niehues, Stefan M., Vinayahalingam, Shankeeth, van Ginneken, Bram, Litjens, Geert, Bressem, Keno K.

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Artificial intelligence to analyze magnetic resonance imaging in rheumatology von Adams, Lisa C., Bressem, Keno K., Ziegeler, Katharina, Vahldiek, Janis L., Poddubnyy, Denis

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Correction: Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties von Busch, Felix, Han, Tianyu, Makowski, Marcus R, Truhn, Daniel, Bressem, Keno K, Adams, Lisa

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Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 (GPT‐4) von Truhn, Daniel, Loeffler, Chiara ML, Müller‐Franzes, Gustav, Nebelung, Sven, Hewitt, Katherine J, Brandner, Sebastian, Bressem, Keno K, Foersch, Sebastian, Kather, Jakob Nikolas

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Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints von Bressem, Keno K, Adams, Lisa C, Proft, Fabian, Hermann, Kay Geert A, Diekhoff, Torsten, Spiller, Laura, Niehues, Stefan M, Makowski, Marcus R, Hamm, Bernd, Protopopov, Mikhail, Rios Rodriguez, Valeria, Haibel, Hildurn, Rademacher, Judith, Torgutalp, Murat, Lambert, Robert G, Baraliakos, Xenofon, Maksymowych, Walter P, Vahldiek, Janis L, Poddubnyy, Denis

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

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Quantitative 3D Assessment of 68Ga-DOTATOC PET/MRI with Diffusion-Weighted Imaging to Assess Imaging Markers for Gastroenteropancreatic Neuroendocrine Tumors: Preliminary Results von Adams, Lisa C, Bressem, Keno K, Brangsch, Julia, Reimann, Carolin, Nowak, Kristin, Brenner, Winfried, Makowski, Marcus R

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Deep learning for accurately recognizing common causes of shoulder pain on radiographs von Grauhan, Nils F., Niehues, Stefan M., Gaudin, Robert A., Keller, Sarah, Vahldiek, Janis L., Adams, Lisa C., Bressem, Keno K.

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Large Language Models for Simplified Interventional Radiology Reports: A Comparative Analysis von Can, Elif, Uller, Wibke, Vogt, Katharina, Doppler, Michael C., Busch, Felix, Bayerl, Nadine, Ellmann, Stephan, Kader, Avan, Elkilany, Aboelyazid, Makowski, Marcus R., Bressem, Keno K., Adams, Lisa C.

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