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Learning to compare longitudinal images

Implementation of the paper "Learning to compare longitudinal images" of Heejong Kim and Mert Sabuncu, to appear in MIDL 2023 (Oral).

Project Page | Paper

Example result of synthetic tumor

Dependencies

conda env create -f environment.yml
conda activate pairnet

Instructions

We provide an example script and dataset of synthetic tumor. The script includes training and experiments (weighted CAM and correlation).

bash example-script-tumor.sh

Citation

If you use this code, please consider citing our work:

@inproceedings{
kim2023learning,
title={Learning to Compare Longitudinal Images},
author={Heejong Kim and Mert R. Sabuncu},
booktitle={Medical Imaging with Deep Learning},
year={2023},
url={https://openreview.net/forum?id=l17YFzXLP53}
}

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