Luisa Gallée

13 papers Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
Abstract: Minimum Data, Maximum Impact - 20 Annotated Samples for Explainable Lung Nodule Classification.
Bildverarbeitung für die Medizin
Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2025 — conf
Abstract: Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model.
Bildverarbeitung für die Medizin
Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2025 J jnl
FunnyNodules: A Customizable Medical Dataset Tailored for Evaluating Explainable AI.
CoRR
Luisa Gallée, Yiheng Xiong, Meinrad Beer, Michael Götz
2025 J jnl
Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification.
CoRR
Luisa Gallée, Catharina Silvia Lisson, Meinrad Beer, Michael Götz
2025 — conf
Minimum Data, Maximum Impact: 20 Annotated Samples for Explainable Lung Nodule Classification.
iMIMIC@MICCAI
Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2025 J jnl
Minimum Data, Maximum Impact: 20 annotated samples for explainable lung nodule classification.
CoRR
Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2025 J jnl
Proto-Caps: interpretable medical image classification using prototype learning and privileged information.
PeerJ Comput. Sci.
Luisa Gallée, Catharina Silvia Lisson, Timo Ropinski, Meinrad Beer, Michael Götz
2024 — conf
Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information.
Bildverarbeitung für die Medizin
Luisa Gallée, Meinrad Beer, Michael Götz
2024 — conf
Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model.
xAI (1)
Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2024 J jnl
Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model.
CoRR
Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz
2024 J jnl
Non-Hodgkin's lymphoma classification using 3D radiomics machine learning models for precision imaging in oncology.
BMC Bioinform.
Christoph Gerhard Lisson, Michael Götz, Daniel Wolf, Sabitha Manoj, Luisa Gallée, Stefan A. Schmidt, Eugen Tausch, Christof Schneider, Stephan Stilgenbauer, Ambros J. Beer, Meinrad Beer, Nico Sollmann, Catharina Silvia Lisson
2023 — conf
Interpretable Medical Image Classification Using Prototype Learning and Privileged Information.
MICCAI (2)
Luisa Gallée, Meinrad Beer, Michael Götz
2023 J jnl
Interpretable Medical Image Classification using Prototype Learning and Privileged Information.
CoRR
Luisa Gallée, Meinrad Beer, Michael Götz