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  title={Noninvasive CT-derived FFR based on structural and fluid analysis: a comparison with invasive FFR for detection of functionally significant stenosis},
  author={Ko, Brian S and Cameron, James D and Munnur, Ravi K and Wong, Dennis TL and Fujisawa, Yasuko and Sakaguchi, Takuya and Hirohata, Kenji and Hislop-Jambrich, Jacqui and Fujimoto, Shinichiro and Takamura, Kazuhisa and others},
  journal={JACC: Cardiovascular Imaging},
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  year={2017},
  publisher={American College of Cardiology Foundation Washington, DC}
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@article{min2012diagnostic,
  title={Diagnostic accuracy of fractional flow reserve from anatomic CT angiography},
  author={Min, James K and Leipsic, Jonathon and Pencina, Michael J and Berman, Daniel S and Koo, Bon-Kwon and Van Mieghem, Carlos and Erglis, Andrejs and Lin, Fay Y and Dunning, Allison M and Apruzzese, Patricia and others},
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@article{orouskhani2024morphology,
  title={Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA},
  author={Orouskhani, Maysam and Firoozeh, Negar and Wang, Huayu and Wang, Yan and Shi, Hanrui and Li, Weijing and Sun, Beibei and Zhang, Jianjian and Li, Xiao and Zhao, Huilin and others},
  journal={Neuroinformatics},
  volume={22},
  number={4},
  pages={731--744},
  year={2024},
  publisher={Springer}
}

@article{orouskhani2025intracranial,
  title={Intracranial aneurysm segmentation with nnU-net: utilizing loss functions and automated vessel extraction},
  author={Orouskhani, Maysam and Firoozeh, Negar and Wang, Huayu and Wang, Yan and Shi, Hanrui and Li, Weijing and Sun, Beibei and Zhang, Jianjian and Li, Xiao and Zhao, Huilin and others},
  journal={Vessel plus},
  volume={9},
  pages={24},
  year={2025}
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@inproceedings{ronneberger2015u,
  title={U-net: Convolutional networks for biomedical image segmentation},
  author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
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  organization={Springer}
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@article{isensee2021nnu,
  title={nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation},
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  journal={Nature methods},
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@article{hu2023dsc,
  title={DSC-Net: A novel interactive two-stream network by combining transformer and CNN for ultrasound image segmentation},
  author={Hu, Kai and Zhu, Yadong and Zhou, Tianxin and Zhang, Yuan and Cao, Chunhong and Xiao, Fen and Gao, Xieping},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={72},
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  year={2023},
  publisher={IEEE}
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@article{dong2022deu,
  title={DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation},
  author={Dong, Shunjie and Pan, Zixuan and Fu, Yu and Yang, Qianqian and Gao, Yuanxue and Yu, Tianbai and Shi, Yiyu and Zhuo, Cheng},
  journal={Medical Image Analysis},
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  pages={102389},
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  publisher={Elsevier}
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@inproceedings{zhou2025glcp,
  title={Glcp: Global-to-local connectivity preservation for tubular structure segmentation},
  author={Zhou, Feixiang and Gao, Zhuangzhi and Zhao, He and Xie, Jianyang and Meng, Yanda and Zhao, Yitian and Lip, Gregory YH and Zheng, Yalin},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={237--247},
  year={2025},
  organization={Springer}
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@inproceedings{kirillov2023segment,
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  author={Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C and Lo, Wan-Yen and others},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={4015--4026},
  year={2023}
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@inproceedings{
wang2026detectorintheloop,
title={Detector-in-the-Loop Tracking: Active Memory Rectification for Stable Glottic Opening Localization},
author={Huayu Wang and Bahaa Alattar and Cheng-Yen Yang and Hsiang-Wei Huang and Jung Heon Kim and Linda Shapiro and Nathan J White and Jenq-Neng Hwang},
booktitle={Medical Imaging with Deep Learning},
year={2026},
url={https://openreview.net/forum?id=dwYFYk4aeZ}
}

@inproceedings{li2024polyp,
  title={Polyp-sam: Transfer sam for polyp segmentation},
  author={Li, Yuheng and Hu, Mingzhe and Yang, Xiaofeng},
  booktitle={Medical imaging 2024: computer-aided diagnosis},
  volume={12927},
  pages={749--754},
  year={2024},
  organization={SPIE}
}

@article{shaharabany2023autosam,
  title={Autosam: Adapting sam to medical images by overloading the prompt encoder},
  author={Shaharabany, Tal and Dahan, Aviad and Giryes, Raja and Wolf, Lior},
  journal={arXiv preprint arXiv:2306.06370},
  year={2023}
}

@article{ma2024segment,
  title={Segment anything in medical images},
  author={Ma, Jun and He, Yuting and Li, Feifei and Han, Lin and You, Chenyu and Wang, Bo},
  journal={Nature communications},
  volume={15},
  number={1},
  pages={654},
  year={2024},
  publisher={Nature Publishing Group UK London}
}

@article{zhang2025generalist,
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  author={Zhang, Siqi and Zhang, Qizhe and Zhang, Shanghang and Liu, Xiaohong and Yue, Jingkun and Lu, Ming and Xu, Huihuan and Yao, Jiaxin and Wei, Xiaobao and Cao, Jiajun and others},
  journal={Nature Biomedical Engineering},
  pages={1--16},
  year={2025},
  publisher={Nature Publishing Group UK London}
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@inproceedings{wei2024medsam,
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  author={Wei, Xiaobao and Cao, Jiajun and Jin, Yizhu and Lu, Ming and Wang, Guangyu and Zhang, Shanghang},
  booktitle={European Conference on Computer Vision},
  pages={90--107},
  year={2024},
  organization={Springer}
}

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  author={Frangi, Alejandro F and Niessen, Wiro J and Vincken, Koen L and Viergever, Max A},
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  organization={Springer}
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@article{kendall2017uncertainties,
  title={What uncertainties do we need in bayesian deep learning for computer vision?},
  author={Kendall, Alex and Gal, Yarin},
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  volume={30},
  year={2017}
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@inproceedings{xie2015holistically,
  title={Holistically-nested edge detection},
  author={Xie, Saining and Tu, Zhuowen},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={1395--1403},
  year={2015}
}

@article{yang2025benchmarking,
  title={Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for cta and mra},
  author={Yang, Kaiyuan and Musio, Fabio and Ma, Yihui and Juchler, Norman and Paetzold, Johannes C and Al-Maskari, Rami and H{\"o}her, Luciano and Li, Hongwei Bran and Hamamci, Ibrahim Ethem and Sekuboyina, Anjany and others},
  journal={ArXiv},
  pages={arXiv--2312},
  year={2025}
}

@article{loshchilov2017decoupled,
  title={Decoupled weight decay regularization},
  author={Loshchilov, Ilya and Hutter, Frank},
  journal={arXiv preprint arXiv:1711.05101},
  year={2017}
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@inproceedings{cao2022swin,
  title={Swin-unet: Unet-like pure transformer for medical image segmentation},
  author={Cao, Hu and Wang, Yueyue and Chen, Joy and Jiang, Dongsheng and Zhang, Xiaopeng and Tian, Qi and Wang, Manning},
  booktitle={European conference on computer vision},
  pages={205--218},
  year={2022},
  organization={Springer}
}


@article{ma2025medsam2,
  title={Medsam2: Segment anything in 3d medical images and videos},
  author={Ma, Jun and Yang, Zongxin and Kim, Sumin and Chen, Bihui and Baharoon, Mohammed and Fallahpour, Adibvafa and Asakereh, Reza and Lyu, Hongwei and Wang, Bo},
  journal={arXiv preprint arXiv:2504.03600},
  year={2025}
}

@article{taha2015metrics,
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  author={Taha, Abdel Aziz and Hanbury, Allan},
  journal={BMC medical imaging},
  volume={15},
  number={1},
  pages={29},
  year={2015},
  publisher={Springer}
}
