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20222026
most citedDermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

176 citations

6 papers

cs.CV2026

Learning to Detect Baked Goods with Limited Supervision

Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet

Monitoring leftover products provides valuable insights that can be used to optimize future production. This is especially important for German bakeries because freshly baked goods…

cs.CV2025★ 2 cited

Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving

Alexandra Arzberger, Ramin Tavakoli Kolagari

Light Detection and Ranging (LiDAR) is an essential sensor technology for autonomous driving as it can capture high-resolution 3D data. As 3D object detection systems (OD) can inte…

q-bio.QM2023★ 176 cited

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32

Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…

cs.CR2022★ 12 cited

DYST (Did You See That?): An Amplified Covert Channel That Points To Previously Seen Data

Steffen Wendzel, Tobias Schmidbauer, Sebastian Zillien +1

Covert channels are stealthy communication channels that enable manifold adversary and legitimate scenarios, ranging from malware communications to the exchange of confidential inf…

eess.AS2022★ 3 cited

Automated Evaluation of Standardized Dementia Screening Tests

Franziska Braun, Markus Förstel, Bastian Oppermann +4

For dementia screening and monitoring, standardized tests play a key role in clinical routine since they aim at minimizing subjectivity by measuring performance on a variety of cog…

cs.SD2022★ 5 cited

Going Beyond the Cookie Theft Picture Test: Detecting Cognitive Impairments using Acoustic Features

Franziska Braun, Andreas Erzigkeit, Hartmut Lehfeld +3

Standardized tests play a crucial role in the detection of cognitive impairment. Previous work demonstrated that automatic detection of cognitive impairment is possible using audio…