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 <h3>About us</h3>
-At CCIBonn.ai (Divison for Computational Radiology & Clinical AI, University Hospital Bonn / Faculty of Medicine at the University of Bonn, Germany), we focus on the development and application of artificial intelligence in medical imaging to enhance diagnostic accuracy, optimize clinical workflows, and enable large-scale data-driven research. Led by Prof. Dr. Philipp Vollmuth, Else Kröner CS Professor for AI in Medical Imaging (Faculty of Medicine at the University of Bonn), our multidisciplinary team combines expertise from AI researchers, data scientists and clinicians to bridge the gap between computational research and clinical application. Our research includes foundational AI models for radiology, privacy-preserving federated learning, the use of synthetic data to overcome limitations in medical datasets, and the integration of large language models into healthcare workflows. We operate state-of-the-art infrastructure, including multiple NVIDIA DGX H200 servers, while developing and operating unique radiology research infrastructure like ADIT and RADIS that enables large-scale data mining and analysis, and have through our affiliation with the Clinic for Neuroradiology access to cutting-edge imaging systems such as 0.064T, 3T and 7T MRI scanners. We are key contributors to the Human Radiome Project, the MICCAI Brain Tumor Segmentation (BraTS) challenge and the Federated Tumor Segmentation (FeTS) initiative. Moreover, collaborations with leading institutions including the German Cancer Research Center (DFKZ), the German Center for Neurodegenerative Diseases (DZNE), and the European Organization for Research and Treatment of Cancer (EORTC) ensure the clinical and methodological rigor of our work.
+At CCIBonn.ai (Divison for Computational Radiology & Clinical AI, University Hospital Bonn / Faculty of Medicine at the University of Bonn, Germany), we focus on the development and application of artificial intelligence in medical imaging to enhance diagnostic accuracy, optimize clinical workflows, and enable large-scale data-driven research. Led by Prof. Dr. Philipp Vollmuth, Else Kröner CS Professor for AI in Medical Imaging (Faculty of Medicine at the University of Bonn), our multidisciplinary team combines expertise from AI researchers, data scientists and clinicians to bridge the gap between computational research and clinical application. Our research includes foundational AI models for radiology, privacy-preserving federated learning, the use of synthetic data to overcome limitations in medical datasets, and the integration of large language models into healthcare workflows. We operate state-of-the-art infrastructure, including multiple NVIDIA DGX H200 servers, develop and operate unique radiology research infrastructure like ADIT and RADIS that enables large-scale data mining and analysis, and have through our affiliation with the Clinic for Neuroradiology access to cutting-edge imaging systems such as 0.064T, 3T and 7T MRI scanners. We are key contributors to the Human Radiome Project, the MICCAI Brain Tumor Segmentation (BraTS) challenge and the Federated Tumor Segmentation (FeTS) initiative. Moreover, collaborations with leading institutions including the German Cancer Research Center (DFKZ), the German Center for Neurodegenerative Diseases (DZNE), and the European Organization for Research and Treatment of Cancer (EORTC) ensure the clinical and methodological rigor of our work.
 
 <h3>Funding</h3>
 We have secured >4.5 million EUR in funding and we are currently supported by the European Research Council (ERC Consolidator Grant for "AI-Next"), the German Research Foundation (DFG - Priority Program 2177: Radiomics - Next Generation of Biomedical Imaging), BONFOR, and the Else Kröner Fresenius Foundation among others.