12 citations · 19 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions
Fabio Hellmann, Silvan Mertes, Mohamed Benouis +5
In recent years, the increasing availability of personal data has raised concerns regarding privacy and security. One of the critical processes to address these concerns is data an…
ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario
Alexander Heimerl, Pooja Prajod, Silvan Mertes +7
We present a multi-modal stress dataset that uses digital job interviews to induce stress. The dataset provides multi-modal data of 40 participants including audio, video (motion c…