1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
Laurin Lux, Alexander H. Berger, Maria Romeo Tricas +8
Interpretability is crucial for utilizing machine learning models as clinical decision support tools for medical diagnostics. However, most state-of-the-art image classifiers based…
cs.CV2022★ 1 cited
Human-centered XAI for Burn Depth Characterization
Maxwell J. Jacobson, Daniela Chanci Arrubla, Maria Romeo Tricas +4
Approximately 1.25 million people in the United States are treated each year for burn injuries. Precise burn injury classification is an important aspect of the medical AI field. I…