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Johannes Haubold

Moving Beyond CT Body Composition Analysis: Using Style Transfer for bringing CT-based fully-automated Body Composition Analysis to T2-weighted MRI Sequences
Fully Volumetric Body Composition Analysis for Prognostic Overall Survival Stratification in Melanoma Patients
Staging of prostate Cancer with ultra-fast PSMA-PET scans enhanced by AI
Addressing the Contrast Media Recognition Challenge: A Fully Automated Machine Learning Approach for Predicting Contrast Phases in CT Imaging
BOA: A CT-based body and organ analysis for radiologists at the point of care
Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management
Contrast agent dose reduction in MRI utilizing a generative adversarial network in an exploratory animal study
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity

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