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Johannes Haubold
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Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset
AI-derived body composition parameters as prognostic factors in patients with HCC undergoing TACE in a multicenter study
Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients With Idiopathic Pulmonary Fibrosis
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Multilingual Natural Language Processing Model for Radiology Reports -- The Summary is all you need!
ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
Contrast Agent Dose Reduction in MRI Utilizing a Generative Adversarial Network in an Exploratory Animal Study
Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity
CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients
Low bone mineral density is a prognostic factor for elderly patients with HCC undergoing TACE: results from a multicenter study
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Study
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