@article{xue2024hybrid,
  title={A hybrid deep image prior and compressed sensing reconstruction method for highly accelerated 3D coronary magnetic resonance angiography},
  author={Xue, Zhihao and Zhu, Sicheng and Yang, Fan and Gao, Juan and Peng, Hao and Zou, Chao and Jin, Hang and Hu, Chenxi},
  journal={Frontiers in Cardiovascular Medicine},
  volume={11},
  pages={1408351},
  year={2024},
  publisher={Frontiers Media SA}
}

@inproceedings{bell2023robust,
  title={Robust self-guided deep image prior},
  author={Bell, Evan and Liang, Shijun and Qu, Qing and Ravishankar, Saiprasad},
  booktitle={ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={1--5},
  year={2023},
  organization={IEEE}
}

@article{liang2024analysis,
  title={Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction},
  author={Liang, Shijun and Bell, Evan and Qu, Qing and Wang, Rongrong and Ravishankar, Saiprasad},
  journal={arXiv preprint arXiv:2402.04097},
  year={2024}
}

@inproceedings{ulyanov2018deep,
  title={Deep image prior},
  author={Ulyanov, Dmitry and Vedaldi, Andrea and Lempitsky, Victor},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={9446--9454},
  year={2018}
}

@inproceedings{jo2021rethinking,
  title={Rethinking deep image prior for denoising},
  author={Jo, Yeonsik and Chun, Se Young and Choi, Jonghyun},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={5087--5096},
  year={2021}
}

@article{adluruisotropic,
  title={Isotropic fixed time 3D late gadolinium enhancement MRI for left atrial fibrosis imaging},
  author={Adluru, Ganesh and Mendes, Jason and Ranjan, Ravi and Kholmovski, Eugene and DiBella, Edward VR},
    year={2022}
}

@article{ramanarayanan2023generalizing,
  title={Generalizing supervised deep learning mri reconstruction to multiple and unseen contrasts using meta-learning hypernetworks},
  author={Ramanarayanan, Sriprabha and Palla, Arun and Ram, Keerthi and Sivaprakasam, Mohanasankar},
  journal={Applied Soft Computing},
  volume={146},
  pages={110633},
  year={2023},
  publisher={Elsevier}
}

@article{tv1,
  title={Multicontrast MRI reconstruction with structure-guided total variation},
  author={Ehrhardt, Matthias J and Betcke, Marta M},
  journal={SIAM Journal on Imaging Sciences},
  volume={9},
  number={3},
  pages={1084--1106},
  year={2016},
  publisher={SIAM}
}

@inproceedings{tv2,
  title={Real time dynamic MRI with dynamic total variation},
  author={Chen, Chen and Li, Yeqing and Axel, Leon and Huang, Junzhou},
  booktitle={Medical Image Computing and Computer-Assisted Intervention--MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part I 17},
  pages={138--145},
  year={2014},
  organization={Springer}
}

@article{wavelet1,
  title={A fast wavelet-based reconstruction method for magnetic resonance imaging},
  author={Guerquin-Kern, Matthieu and Haberlin, M and Pruessmann, Klaas Paul and Unser, Michael},
  journal={IEEE transactions on medical imaging},
  volume={30},
  number={9},
  pages={1649--1660},
  year={2011},
  publisher={IEEE}
}

@article{wavelet2,
  title={Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform},
  author={Lai, Zongying and Qu, Xiaobo and Liu, Yunsong and Guo, Di and Ye, Jing and Zhan, Zhifang and Chen, Zhong},
  journal={Medical image analysis},
  volume={27},
  pages={93--104},
  year={2016},
  publisher={Elsevier}
}


plpplppplpppplplplpplllpplpllpllpl@article{mcgann2008new,
  title={New magnetic resonance imaging-based method for defining the extent of left atrial wall injury after the ablation of atrial fibrillation},
  author={McGann, Christopher J and Kholmovski, Eugene G and Oakes, Robert S and Blauer, Joshua JE and Daccarett, Marcos and Segerson, Nathan and Airey, Kelly J and Akoum, Nazem and Fish, Eric and Badger, Troy J and others},
  journal={Journal of the American College of Cardiology},
  volume={52},
  number={15},
  pages={1263--1271},
  year={2008},
  publisher={American College of Cardiology Foundation Washington, DC}
}


@article{basha2017clinical,
  title={Clinical performance of high-resolution late gadolinium enhancement imaging with compressed sensing},
  author={Basha, Tamer A and Akcakaya, Mehmet and Liew, Charlene and Tsao, Connie W and Delling, Francesca N and Addae, Gifty and Ngo, Long and Manning, Warren J and Nezafat, Reza},
  journal={Journal of Magnetic Resonance Imaging},
  volume={46},
  number={6},
  pages={1829--1838},
  year={2017},
  publisher={Wiley Online Library}
}

@article{zhao2020reference,
  title={Reference-driven compressed sensing MR image reconstruction using deep convolutional neural networks without pre-training},
  author={Zhao, Di and Zhao, Feng and Gan, Yongjin},
  journal={Sensors},
  volume={20},
  number={1},
  pages={308},
  year={2020},
  publisher={MDPI}
}

@inproceedings{liu2019image,
  title={Image restoration using total variation regularized deep image prior},
  author={Liu, Jiaming and Sun, Yu and Xu, Xiaojian and Kamilov, Ulugbek S},
  booktitle={ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={7715--7719},
  year={2019},
  organization={Ieee}
}

@article{kumar2023brain,
  title={Brain tumor segmentation of the FLAIR MRI images using novel ResUnet},
  author={Kumar, P Santosh and Sakthivel, VP and Raju, Manda and Sathya, PD},
  journal={Biomedical Signal Processing and Control},
  volume={82},
  pages={104586},
  year={2023},
  publisher={Elsevier}
}

@article{van2021improvement,
  title={Improvement of late gadolinium enhancement image quality using a deep learning--based reconstruction algorithm and its influence on myocardial scar quantification},
  author={van der Velde, Nikki and Hassing, H Carlijne and Bakker, Brendan J and Wielopolski, Piotr A and Lebel, R Marc and Janich, Martin A and Kardys, Isabella and Budde, Ricardo PJ and Hirsch, Alexander},
  journal={European Radiology},
  volume={31},
  pages={3846--3855},
  year={2021},
  publisher={Springer}
}

@article{wang2021early,
  title={Early stopping for deep image prior},
  author={Wang, Hengkang and Li, Taihui and Zhuang, Zhong and Chen, Tiancong and Liang, Hengyue and Sun, Ju},
  journal={arXiv preprint arXiv:2112.06074},
  year={2021}
}

@article{shi2022measuring,
  title={On measuring and controlling the spectral bias of the deep image prior},
  author={Shi, Zenglin and Mettes, Pascal and Maji, Subhransu and Snoek, Cees GM},
  journal={International Journal of Computer Vision},
  volume={130},
  number={4},
  pages={885--908},
  year={2022},
  publisher={Springer}
}

@inproceedings{pour2019deep,
  title={Deep plug-and-play prior for parallel MRI reconstruction},
  author={Pour Yazdanpanah, Ali and Afacan, Onur and Warfield, Simon},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops},
  pages={0--0},
  year={2019}
}

@article{khan2024adaptive,
  title={Adaptive extensions of unbiased risk estimators for unsupervised magnetic resonance image denoising},
  author={Khan, Reeshad and Gauch, John and Nakarmi, Ukash},
  journal={arXiv preprint arXiv:2407.15799},
  year={2024}
}