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Sven Koitka

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
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset
Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management
Predicting individual patient platelet demand in a large tertiary care hospital using machine learning
FHIR-PYrate: a data science friendly Python package to query FHIR servers
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
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
Radiology objects in context (roco): a multimodal image dataset

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