2 papers
cs.LG2023
From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU
Patrick Rockenschaub, Adam Hilbert, Tabea Kossen +3
Deep learning (DL) can aid doctors in detecting worsening patient states early, affording them time to react and prevent bad outcomes. While DL-based early warning models usually w…
eess.IV2020
Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
Tabea Kossen, Pooja Subramaniam, Vince I. Madai +9
Anonymization and data sharing are crucial for privacy protection and acquisition of large datasets for medical image analysis. This is a big challenge, especially for neuroimaging…