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 "owner": "didsr",
 "name": "ssynth_data-test",
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 "last_modified": "2026-06-20T11:06:27.000Z",
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 "citation": "@article{kim2024ssynth,\n  title={Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses},\n  author={Kim, Andrea and Saharkhiz, Niloufar and Sizikova, Elena and Lago, Miguel, and Sahiner, Berkman and Delfino, Jana G., and Badano, Aldo},\n  journal={International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},\n  volume={},\n  pages={},\n  year={2024}\n}",
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