6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Minimum Data, Maximum Impact: 20 annotated samples for explainable lung nodule classification
Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson +5
Classification models that provide human-interpretable explanations enhance clinicians' trust and usability in medical image diagnosis. One research focus is the integration and pr…
cs.CV2024★ 6 cited
Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model
Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson +5
Due to the sensitive nature of medicine, it is particularly important and highly demanded that AI methods are explainable. This need has been recognised and there is great research…