reference.bib

// LAScarQS
@article{lascarqs1,
  title = {Global Epidemiology of Atrial Fibrillation},
  author = {Rahman, Faisal and Kwan, Gene F. and Benjamin, Emelia J.},
  year = {2014},
  journal = {Nature Reviews Cardiology},
  volume = {11},
  number = {11},
  pages = {639--654},
}

@article{lascarqs2,
  title={Radiofrequency catheter ablation of chronic atrial fibrillation guided by complex electrograms},
  author={Oral, Hakan and Chugh, Aman and Good, Eric and Wimmer, Alan and Dey, Sujoya and Gadeela, Nitesh and Sankaran, Sundar and Crawford, Thomas and Sarrazin, Jean F and Kuhne, Michael and others},
  journal={Circulation},
  volume={115},
  number={20},
  pages={2606--2612},
  year={2007},
}

@article{lascarqs3,
  title={Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference},
  author={Li, Lei and Camps, Julia and Wang, Zhinuo and Banerjee, Abhirup and Rodriguez, Blanca and Grau, Vicente},
  journal={IEEE Transactions on Medical Imaging},
  year={2024}
}

@article{lascarqs4,
  title={The ‘Digital Twin’to enable the vision of precision cardiology},
  author={Corral-Acero, Jorge and Margara, Francesca and Marciniak, Maciej and Rodero, Cristobal and Loncaric, Filip and Feng, Yingjing and Gilbert, Andrew and Fernandes, Joao F and Bukhari, Hassaan A and Wajdan, Ali and others},
  journal={European heart journal},
  volume={41},
  number={48},
  pages={4556--4564},
  year={2020},
}

@article{lascarqs5,
  title={Computationally guided personalized targeted ablation of persistent atrial fibrillation},
  author={Boyle, Patrick M and Zghaib, Tarek and Zahid, Sohail and Ali, Rheeda L and Deng, Dongdong and Franceschi, William H and Hakim, Joe B and Murphy, Michael J and Prakosa, Adityo and Zimmerman, Stefan L and others},
  journal={Nature biomedical engineering},
  volume={3},
  number={11},
  pages={870--879},
  year={2019},
}

@article{lascarqs6,
  title={Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review},
  author={Li, Lei and Zimmer, Veronika A and Schnabel, Julia A and Zhuang, Xiahai},
  journal={Medical image analysis},
  volume={77},
  pages={102360},
  year={2022},
}

@article{lascarqs7,
  title={Atrial scar quantification via multi-scale CNN in the graph-cuts framework},
  author={Li, Lei and Wu, Fuping and Yang, Guang and Xu, Lingchao and Wong, Tom and Mohiaddin, Raad and Firmin, David and Keegan, Jennifer and Zhuang, Xiahai},
  journal={Medical image analysis},
  volume={60},
  pages={101595},
  year={2020},
}

@inproceedings{lascarqs8,
  title={AtrialGeneral: domain generalization for left atrial segmentation of multi-center LGE MRIs},
  author={Li, Lei and Zimmer, Veronika A and Schnabel, Julia A and Zhuang, Xiahai},
  booktitle={Medical Image Computing and Computer Assisted Intervention},
  pages={557--566},
  year={2021},
}

@article{lascarqs9,
  title={AtrialJSQnet: a new framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information},
  author={Li, Lei and Zimmer, Veronika A and Schnabel, Julia A and Zhuang, Xiahai},
  journal={Medical image analysis},
  volume={76},
  pages={102303},
  year={2022},
}

// LiQA
@inproceedings{liqa1,
  title={A reliable and interpretable framework of multi-view learning for liver fibrosis staging},
  author={Gao, Zheyao and Liu, Yuanye and Wu, Fuping and Shi, Nannan and Shi, Yuxin and Zhuang, Xiahai},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={178--188},
  year={2023},
}

@misc{liqa2,
  title={MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging}, 
  author={Yuanye Liu and Zheyao Gao and Nannan Shi and Fuping Wu and Yuxin Shi and Qingchao Chen and Xiahai Zhuang},
  year={2024},
  archivePrefix={arXiv},
}


// WHS
@article{whs1,
Author = {Vaduganathan, Muthiah and Mensah, George A. and Turco, Justine Varieur and Fuster, Valentin and Roth, Gregory A.},
Title = {The Global Burden of Cardiovascular Diseases and Risk A Compass for Future Health},
Journal = {Journal of the American College OF Cardiology},
Year = {2022},
Volume = {80},
Number = {25},
Pages = {2361-2371},
}

@article{whs2,
Author = {Zhuang, Xiahai},
Title = {Challenges and Methodologies of Fully Automatic Whole Heart Segmentation: A Review},
Journal = {Journal of Healthcare Engineering},
Year = {2013},
Volume = {4},
Number = {3},
Pages = {371-407},
}


@article{whs3,
Author = {Zhuang, Xiahai et al.},
Title = {Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge},
Journal = {Medical Image Analysis},
Year = {2019},
Volume = {58},
}

// MyoPS
@article{myops1,
  title={Multivariate mixture model for myocardial segmentation combining multi-source images},
  author={Zhuang, Xiahai},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={41},
  number={12},
  pages={2933--2946},
  year={2019},
}

@article{myops2,
  title={MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images},
  author={Qiu, Junyi and Li, Lei and Wang, Sihan and Zhang, Ke and Chen, Yinyin and Yang, Shan and Zhuang, Xiahai},
  journal={Medical image analysis},
  volume={84},
  pages={102694},
  year={2023},
}

@article{myops3,
  title={Aligning multi-sequence CMR towards fully automated myocardial pathology segmentation},
  author={Ding, Wangbin and Li, Lei and Qiu, Junyi and Wang, Sihan and Huang, Liqin and Chen, Yinyin and Yang, Shan and Zhuang, Xiahai},
  journal={IEEE Transactions on Medical Imaging},
  year={2023},
}


// TFM
@inproceedings{tfm1,
  title={Segment anything},
  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}
}