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xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

8 January 2025
Julius Hense
M. J. Idaji
Oliver Eberle
Thomas Schnake
Jonas Dippel
Laure Ciernik
Oliver Buchstab
Andreas Mock
Frederick Klauschen
Klaus-Robert Müller
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Papers citing "xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology"

3 / 3 papers shown
Title
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI
  Benchmarks
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks
Stefan Blücher
Johanna Vielhaben
Nils Strodthoff
AAML
47
20
0
12 Jan 2024
Pixel-Level Explanation of Multiple Instance Learning Models in
  Biomedical Single Cell Images
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images
Ario Sadafi
Oleksandra Adonkina
Ashkan Khakzar
P. Lienemann
Rudolf Matthias Hehr
Daniel Rueckert
Nassir Navab
Carsten Marr
FAtt
40
10
0
15 Mar 2023
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
228
2,231
0
24 Jun 2017
1