22 citations
- Ludwig-Maximilians-Universität MünchenDE2 papers
- Technical University of MunichDE2 papers
- University Hospital CologneDE2 papers
- Boehringer Ingelheim (China)CN1 paper
- Boehringer Ingelheim (Germany)DE1 paper
- Brandenburg University of Technology Cottbus-SenftenbergDE1 paper
- Charité - Universitätsmedizin BerlinDE1 paper
- Chemnitz University of TechnologyDE1 paper
- Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated DiseasesDE1 paper
- Fraunhofer Institute for Industrial MathematicsDE1 paper
- Fraunhofer Institute for Software and Systems EngineeringDE1 paper
- Freie Universität BerlinDE1 paper
Showing 2025Show all
3 papers · 1 filter
cs.CV2025★ 2 cited
Explainable Image Classification with Reduced Overconfidence for Tissue Characterisation
Alfie Roddan, Chi Xu, Serine Ajlouni +3
The deployment of Machine Learning models intraoperatively for tissue characterisation can assist decision making and guide safe tumour resections. For image classification models,…
cs.LG2025
Improving AI-Based Canine Heart Disease Diagnosis with Expert-Consensus Auscultation Labeling
Pinar Bisgin, Tom Strube, Niklas Tschorn +8
Noisy labels pose significant challenges for AI model training in veterinary medicine. This study examines expert assessment ambiguity in canine auscultation data, highlights the n…
cs.CV2025★ 1 cited
Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma
Lucas Sancéré, Carina Lorenz, Doris Helbig +9
Recent advancements in digital pathology have enabled comprehensive analysis of Whole-Slide Images (WSI) from tissue samples, leveraging high-resolution microscopy and computationa…