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  author={Lin, Manxi and Weng, Nina and Mikolaj, Kamil and Bashir, Zahra and Svendsen, Morten BS and Tolsgaard, Martin G and Christensen, Anders N and Feragen, Aasa},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={623--633},
  year={2024},
}

@article{pu2022mobileunet,
  title={{MobileUNet-FPN}: A semantic segmentation model for fetal ultrasound four-chamber segmentation in edge computing environments},
  author={Pu, Bin and Lu, Yuhuan and Chen, Jianguo and Li, Shengli and Zhu, Ningbo and Wei, Wei and Li, Kenli},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={26},
  number={11},
  pages={5540--5550},
  year={2022},
  publisher={IEEE}
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@inproceedings{bano2021autofb,
  title={{AutoFB}: automating fetal biometry estimation from standard ultrasound planes},
  author={Bano, Sophia and Dromey, Brian and Vasconcelos, Francisco and Napolitano, Raffaele and David, Anna L and Peebles, Donald M and Stoyanov, Danail},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={228--238},
  year={2021},
}

@article{sun2022issmf,
  title={{ISSMF}: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images},
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  journal={Artificial Intelligence in Medicine},
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  year={2022},
}

@inproceedings{yang2020automatic,
  title={Automatic segmentation in fetal ultrasound images based on improved {U-net}},
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  year={2020},
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@inproceedings{wang2023medical,
  title={Medical boundary diffusion model for skin lesion segmentation},
  author={Wang, Jiacheng and Yang, Jing and Zhou, Qichao and Wang, Liansheng},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={427--436},
  year={2023},
  organization={Springer}
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@article{dai2022ms,
  title={{Ms RED}: A novel multi-scale residual encoding and decoding network for skin lesion segmentation},
  author={Dai, Duwei and Dong, Caixia and Xu, Songhua and Yan, Qingsen and Li, Zongfang and Zhang, Chunyan and Luo, Nana},
  journal={Medical image analysis},
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  year={2022},
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@inproceedings{fauzi2022effect,
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  author={Fauzi, Ahmad and Wandira, Raju and Kraugusteeliana, Kraugusteeliana},
  booktitle={2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)},
  pages={375--378},
  year={2022},
  organization={IEEE}
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@article{zenk2025comparative,
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@article{larrazabal2020gender,
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@inproceedings{weng2023sex,
  title={Are sex-based physiological differences the cause of gender bias for chest x-ray diagnosis?},
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  year={2023},
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@inproceedings{jimenez2023detecting,
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  title     = {Subgroup Performance Analysis in Hidden Stratifications},
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  booktitle = {Medical Image Computing and Computer Assisted Intervention – MICCAI 2025},
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@inproceedings{
jain2022distilling,
title={Distilling Model Failures as Directions in Latent Space},
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year={2023},
}

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  year={2023}
}

@inproceedings{kim2019multiaccuracy,
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  year={2019}
}

@article{sohoni2020no,
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@inproceedings{d2022spotlight,
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  booktitle={Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency},
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@Article{plumb2022towards,
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@inproceedings{singla2021understanding,
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  year={2021}
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@inproceedings{marani2024vig,
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  booktitle={European Conference on Computer Vision},
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  year={2024},
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@inproceedings{slyman2023vlslice,
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  year={2023}
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@article{geirhos2020shortcut,
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@Article{nichyporuk2022rethinking,
  author    = {Nichyporuk, Brennan and Cardinell, Jillian and Szeto, Justin and Mehta, Raghav and Falet, Jean-Pierre and Arnold, Douglas L. and Tsaftaris, Sotirios A. and Arbel, Tal},
  journal   = {Machine Learning for Biomedical Imaging},
  title     = {Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation},
  year      = {2022},
  pages     = {1--37},
  volume    = {1},
  doi       = {10.59275/j.melba.2022-2d93},
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@inproceedings{abhishek2024segmentation,
  title={Segmentation Style Discovery: Application to Skin Lesion Images},
  author={Abhishek, Kumar and Kawahara, Jeremy and Hamarneh, Ghassan},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={24--34},
  year={2024},
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@article{zhang2020disentangling,
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  year={2020}
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@inproceedings{
zepf2023label,
title={That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation},
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  title={An analysis of the impact of annotation errors on the accuracy of deep learning for cell segmentation},
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  year={2022},
  organization={PMLR}
}

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  title     = {A Study of~Demographic Bias in~{CNN}-Based Brain {MR} Segmentation},
  year      = {2022},
  pages     = {13--22},
  doi       = {10.1007/978-3-031-17899-3_2},
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@Article{Li2024a,
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  journal   = {iRADIOLOGY},
  title     = {Fairness in artificial intelligence‐driven multi‐organ image segmentation},
  year      = {2024},
  number    = {6},
  pages     = {539--556},
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@inproceedings{Cevora2024,
  author    = {Čevora, Kate and Glocker, Ben and Bai, Wenjia},
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  year      = {2024},
  booktitle = {Ethics and Fairness in Medical Imaging},
  doi       = {10.1007/978-3-031-72787-0_9},
}

@InProceedings{Dou2024,
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  title      = {{FairMedFM}: Fairness Benchmarking for Medical Imaging Foundation Models},
  year       = {2024},
  pages      = {111318--111357},
  series     = {NeurIPS 2024},
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  doi        = {10.52202/079017-3535},
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@inproceedings{Li2024,
  author    = {Li, Qing and Zhang, Yizhe and Li, Yan and Lyu, Jun and Liu, Meng and Sun, Longyu and Sun, Mengting and Li, Qirong and Mao, Wenyue and Wu, Xinran and Zhang, Yajing and Chu, Yinghua and Wang, Shuo and Wang, Chengyan},
  pages     = {432--442},
  title     = {An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation},
  year      = {2024},
  booktitle = {Medical Image Computing and Computer Assisted Intervention – MICCAI 2024},
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