activity
20202026
most citedCommon pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

1k citations · 1.1k across the 11 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

eess.IV2024

Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns

Branko Mitic, Philipp Seeböck, Jennifer Straub +2

Fast detection of emerging diseases is important for containing their spread and treating patients effectively. Local anomalies are relevant, but often novel diseases involve famil…

cs.CV2024★ 3 cited

Rigid Single-Slice-in-Volume registration via rotation-equivariant 2D/3D feature matching

Stefan Brandstätter, Philipp Seeböck, Christoph Fürböck +3

2D to 3D registration is essential in tasks such as diagnosis, surgical navigation, environmental understanding, navigation in robotics, autonomous systems, or augmented reality. I…