bifold-pathomics/xMIL-Heatmaps
Heatmap data for the multiple instance learning models presented in: Jamshidi Idaji et al. "Beyond attention heatmaps: How to get better explanations for multiple instance learning models in histopathology". Medical Image Analysis (2026). Link: https://www.sciencedirect.com/science/article/pii/S1361841526002173 Code: https://github.com/bifold-pathomics/xMIL @article{ jamshidi26beyond, title = {Beyond attention heatmaps: How to get better explanations for multiple instance learning models… See the full description on the dataset page: https://huggingface.co/datasets/bifold-pathomics/xMIL-Heatmaps.
Heatmap data for the multiple instance learning models presented in:
Jamshidi Idaji et al. "Beyond attention heatmaps: How to get better explanations for multiple instance learning models in histopathology". Medical Image Analysis (2026).
- Link: https://www.sciencedirect.com/science/article/pii/S1361841526002173
- Code: https://github.com/bifold-pathomics/xMIL
@article{
jamshidi26beyond,
title = {Beyond attention heatmaps: How to get better explanations for multiple instance learning models in histopathology},
journal = {Medical Image Analysis},
volume = {113},
pages = {104148},
year = {2026},
issn = {1361-8415},
doi = {https://doi.org/10.1016/j.media.2026.104148},
url = {https://www.sciencedirect.com/science/article/pii/S1361841526002173},
author = {Mina {Jamshidi Idaji} and Julius Hense and Tom Neuhäuser and Augustin Krause and Yanqing Luo and Oliver Eberle and Thomas Schnake and Laure Ciernik and Farnoush {Rezaei Jafari} and Reza Vahidimajd and Jonas Dippel and Christoph Walz and Frederick Klauschen and Andreas Mock and Klaus-Robert Müller},
}