1 citations · 1 across the 3 of their papers we have counts for
3 papers
Medical Imaging AI Competitions Lack Fairness
Annika Reinke, Evangelia Christodoulou, Sthuthi Sadananda +34
Benchmarking competitions are central to the development of artificial intelligence (AI) in medical imaging, defining performance standards and shaping methodological progress. How…
Defending against Stegomalware in Deep Neural Networks with Permutation Symmetry
Birk Torpmann-Hagen, Michael A. Riegler, Pål Halvorsen +1
Deep neural networks are being utilized in a growing number of applications, both in production systems and for personal use. Network checkpoints are as a consequence often shared…
Probabilistic Runtime Verification, Evaluation and Risk Assessment of Visual Deep Learning Systems
Birk Torpmann-Hagen, Pål Halvorsen, Michael A. Riegler +1
Despite achieving excellent performance on benchmarks, deep neural networks often underperform in real-world deployment due to sensitivity to minor, often imperceptible shifts in i…