ISPY2 Dataset Curation for Breast Cancer pCR Prediction

Implementation of the ISPY2 dataset curation pipeline for breast cancer pathologic complete response (pCR) prediction from our publication "Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction".

Example Usage

import ISPY2_pCR_dataset.ISPY2_pCR_dataset as dataset

file_path = "path/to/tcia/manifest/xlsx/file" # can be found at https://github.com/compai-lab/2026-miccai-grail-kiechle
output_dir = "path/to/output/directory"

dataset.download_data(file_path=file_path, 
                      output_dir=output_dir)

Citation

@article{kiechle2026graph,
title={Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction},
author={Kiechle, Johannes and Osuala, Richard and Lang, Daniel M and Fischer, Stefan M and Jan{\'\i}{\v{c}}kov{\'a}, Ivana and Lekadir, Karim and Schnabel, Julia A and Peeken, Jan C},
journal={arXiv preprint arXiv:2607.04912},
year={2026}
}