2 citations · 2 across the 3 of their papers we have counts for
3 papers
MQG4AI Towards Responsible High-risk AI -- Illustrated for Transparency Focusing on Explainability Techniques
Miriam Elia, Alba Maria Lopez, Katherin Alexandra Corredor +2
As artificial intelligence (AI) systems become increasingly integrated into critical domains, ensuring their responsible design and continuous development is imperative. Effective…
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle +35
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Publ…
Towards Automated COVID-19 Presence and Severity Classification
Dominik Müller, Niklas Schröter, Silvan Mertes +6
COVID-19 presence classification and severity prediction via (3D) thorax computed tomography scans have become important tasks in recent times. Especially for capacity planning of…