Author

Rainer Lienhart

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Conference Aug 2026

A Multi-Source Ultrasound Benchmark Revealing the Limits of Contemporary Self-Supervised Anomaly Detection Methods

Self-supervised anomaly detection is a promising paradigm for medical ultrasound, as normal images are often easier to obtain than exhaustive annotations of all possible pathologies. However, most existing evaluations are limited to a single anatomy or task, making it unclear whether models learn a robust notion of nor...

Marco Riedenauer, Daniel Kienzle, Pratik Mayekar et al. · Conference on Multimedia Inf... · 0 citations

#machine learning Jun 2026

Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark

A new baseline method is developed identifying the critical components to solve the NMO tasks, including a novel representation for modeling structural constraints and a domain-agnostic pretraining strategy to eliminate pharmaceutical dataset bias.

Matthias Blaschke, Daniel Kienzle, Zsuzsanna Koczor-Benda et al. · arXiv.org · 0 citations