Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. - Luisa Gallée; Meinrad Beer; Michael Götz (MICCAI (2), 2023)

Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. - Luisa Gallée; Meinrad Beer; Michael Götz (Bildverarbeitung für die Medizin, 2024)

Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model. - Luisa Gallée; Catharina Silvia Lisson; Christoph Gerhard Lisson; Daniela Drees; Felix Weig; Daniel Vogele; Meinrad Beer; Michael Götz (xAI (1), 2024)

Abstract: Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model. - Luisa Gallée; Catharina Silvia Lisson; Christoph Gerhard Lisson; Daniela Drees; Felix Weig; Daniel Vogele; Meinrad Beer; Michael Götz (Bildverarbeitung für die Medizin, 2025)

Proto-Caps: interpretable medical image classification using prototype learning and privileged information. - Luisa Gallée; Catharina Silvia Lisson; Timo Ropinski; Meinrad Beer; Michael Götz (PeerJ Comput. Sci., 2025)

Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification. - Luisa Gallée; Catharina Silvia Lisson; Meinrad Beer; Michael Götz (CoRR, 2025)

Minimum Data, Maximum Impact: 20 annotated samples for explainable lung nodule classification. - Luisa Gallée; Catharina Silvia Lisson; Christoph Gerhard Lisson; Daniela Drees; Felix Weig; Daniel Vogele; Meinrad Beer; Michael Götz (CoRR, 2025)