@article{bruno2019new,
  title={New advances in {MRI} diagnosis of degenerative osteoarthropathy of the peripheral joints},
  author={Bruno, Federico and Arrigoni, Francesco and Palumbo, Pierpaolo and Natella, Raffaele and Maggialetti, Nicola and Reginelli, Alfonso and Splendiani, Alessandra and Di Cesare, Ernesto and Brunese, Luca and Guglielmi, Giuseppe and others},
  journal={La radiologia medica},
  volume={124},
  number={11},
  pages={1121--1127},
  year={2019},
  publisher={Springer}
}
@article{taylor2019diagnostic,
  title={Diagnostic accuracy for metastatic disease in newly diagnosed non-small cell lung cancer: prospective comparison of whole-body magnetic resonance imaging with standard staging pathways-The Streamline L Trial},
  author={Taylor, S and Mallett, S and Ball, S and Beare, S and Bhatnagar, G and Bhowmik, A and Boavida, P and Bridgewater, J and Clarke, CS and Duggan, M and others},
  journal={Lancet Respiratory Medicine},
  year={2019},
  publisher={Elsevier}
}
@article{debette2019clinical,
  title={Clinical significance of magnetic resonance imaging markers of vascular brain injury: a systematic review and meta-analysis},
  author={Debette, St{\'e}phanie and Schilling, Sabrina and Duperron, Marie-Gabrielle and Larsson, Susanna C and Markus, Hugh S},
  journal={JAMA neurology},
  volume={76},
  number={1},
  pages={81--94},
  year={2019},
  publisher={American Medical Association}
}
@article{oppelt1986fisp,
  title={{FISP}—a new fast {MRI} sequence},
  author={Oppelt, A and Graumann, R and Barfuss, H and Fischer, H and Hartl, W and Schajor, W and others},
  journal={Electromedica},
  volume={54},
  number={1},
  pages={15--18},
  year={1986}
}
@article{lustig2010spirit,
  title={{SPIRiT}: iterative self-consistent parallel imaging reconstruction from arbitrary k-space},
  author={Lustig, Michael and Pauly, John M},
  journal={Magnetic resonance in medicine},
  volume={64},
  number={2},
  pages={457--471},
  year={2010},
  publisher={Wiley Online Library}
}
@article{lustig2008compressed,
  title={Compressed sensing {MRI}},
  author={Lustig, Michael and Donoho, David L and Santos, Juan M and Pauly, John M},
  journal={IEEE signal processing magazine},
  volume={25},
  number={2},
  pages={72--82},
  year={2008},
  publisher={IEEE}
}
@inproceedings{yang2019clci,
  title={{CLCI-Net}: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke},
  author={Yang, Hao and Huang, Weijian and Qi, Kehan and Li, Cheng and Liu, Xinfeng and Wang, Meiyun and Zheng, Hairong and Wang, Shanshan},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={266--274},
  year={2019},
  organization={Springer}
}
@inproceedings{qi2019x,
  title={X-net: Brain stroke lesion segmentation based on depthwise separable convolution and long-range dependencies},
  author={Qi, Kehan and Yang, Hao and Li, Cheng and Liu, Zaiyi and Wang, Meiyun and Liu, Qiegen and Wang, Shanshan},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={247--255},
  year={2019},
  organization={Springer}
}
@inproceedings{chen2019model,
  title={Model-based Convolutional De-Aliasing Network Learning for Parallel {MR} Imaging},
  author={Chen, Yanxia and Xiao, Taohui and Li, Cheng and Liu, Qiegen and Wang, Shanshan},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={30--38},
  year={2019},
  organization={Springer}
}
@article{wang2019dimension,
  title={{DIMENSION}: Dynamic {MR} imaging with both k-space and spatial prior knowledge obtained via multi-supervised network training},
  author={Wang, Shanshan and Ke, Ziwen and Cheng, Huitao and Jia, Sen and Ying, Leslie and Zheng, Hairong and Liang, Dong},
  journal={NMR in Biomedicine},
  pages={e4131},
  year={2019},
  publisher={Wiley Online Library}
}
@article{zhou2018radiomics,
  title={A radiomics approach with {CNN} for shear-wave elastography breast tumor classification},
  author={Zhou, Yongjin and Xu, Jingxu and Liu, Qiegen and Li, Cheng and Liu, Zaiyi and Wang, Meiyun and Zheng, Hairong and Wang, Shanshan},
  journal={IEEE Transactions on Biomedical Engineering},
  volume={65},
  number={9},
  pages={1935--1942},
  year={2018},
  publisher={IEEE}
}
@inproceedings{wang2016accelerating,
  title={Accelerating magnetic resonance imaging via deep learning},
  author={Wang, Shanshan and Su, Zhenghang and Ying, Leslie and Peng, Xi and Zhu, Shun and Liang, Feng and Feng, Dagan and Liang, Dong},
  booktitle={2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)},
  pages={514--517},
  year={2016},
  organization={IEEE}
}
@article{schlemper2017deep,
  title={A deep cascade of convolutional neural networks for dynamic {MR} image reconstruction},
  author={Schlemper, Jo and Caballero, Jose and Hajnal, Joseph V and Price, Anthony N and Rueckert, Daniel},
  journal={IEEE transactions on Medical Imaging},
  volume={37},
  number={2},
  pages={491--503},
  year={2017},
  publisher={IEEE}
}
@article{hammernik2018learning,
  title={Learning a variational network for reconstruction of accelerated {MRI} data},
  author={Hammernik, Kerstin and Klatzer, Teresa and Kobler, Erich and Recht, Michael P and Sodickson, Daniel K and Pock, Thomas and Knoll, Florian},
  journal={Magnetic resonance in medicine},
  volume={79},
  number={6},
  pages={3055--3071},
  year={2018},
  publisher={Wiley Online Library}
}
@inproceedings{sun2016deep,
  title={Deep {ADMM-Net} for compressive sensing {MRI}},
  author={Sun, Jian and Li, Huibin and Xu, Zongben and others},
  booktitle={Advances in neural information processing systems},
  pages={10--18},
  year={2016}
}
@article{aggarwal2018modl,
  title={{MoDL}: Model-based deep learning architecture for inverse problems},
  author={Aggarwal, Hemant K and Mani, Merry P and Jacob, Mathews},
  journal={IEEE transactions on medical imaging},
  volume={38},
  number={2},
  pages={394--405},
  year={2018},
  publisher={IEEE}
}
@inproceedings{cai2019toward,
  title={Toward real-world single image super-resolution: A new benchmark and a new model},
  author={Cai, Jianrui and Zeng, Hui and Yong, Hongwei and Cao, Zisheng and Zhang, Lei},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  pages={3086--3095},
  year={2019}
}
@article{wang2020deepcomplexmri,
  title={Deepcomplex{MRI}: Exploiting deep residual network for fast parallel {MR} imaging with complex convolution},
  author={Wang, Shanshan and Cheng, Huitao and Ying, Leslie and Xiao, Taohui and Ke, Ziwen and Zheng, Hairong and Liang, Dong},
  journal={Magnetic Resonance Imaging},
  volume={68},
  pages={136--147},
  year={2020},
  publisher={Elsevier}
}
@article{burt1983laplacian,
  title={The Laplacian pyramid as a compact image code},
  author={Burt, Peter and Adelson, Edward},
  journal={IEEE Transactions on communications},
  volume={31},
  number={4},
  pages={532--540},
  year={1983},
  publisher={IEEE}
}
@article{zbontar2018fastmri,
  title={fastMRI: An open dataset and benchmarks for accelerated {MRI}},
  author={Zbontar, Jure and Knoll, Florian and Sriram, Anuroop and Muckley, Matthew J and Bruno, Mary and Defazio, Aaron and Parente, Marc and Geras, Krzysztof J and Katsnelson, Joe and Chandarana, Hersh and others},
  journal={arXiv preprint arXiv:1811.08839},
  year={2018}
}
@inproceedings{ramzi2020benchmarking,
  title={Benchmarking Deep Nets {MRI} Reconstruction Models on the {FastMRI} Publicly Available Dataset},
  author={Ramzi, Zaccharie and Ciuciu, Philippe and Starck, Jean-Luc},
  booktitle={International Symposium on Biomedical Imaging},
  year={2020}
}
@inproceedings{ronneberger2015u,
  title={U-net: Convolutional networks for biomedical image segmentation},
  author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  booktitle={International Conference on Medical image computing and computer-assisted intervention},
  pages={234--241},
  year={2015},
  organization={Springer}
}
@article{eo2018kiki,
  title={{KIKI-net}: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images},
  author={Eo, Taejoon and Jun, Yohan and Kim, Taeseong and Jang, Jinseong and Lee, Ho-Joon and Hwang, Dosik},
  journal={Magnetic resonance in medicine},
  volume={80},
  number={5},
  pages={2188--2201},
  year={2018},
  publisher={Wiley Online Library}
}
@article{adler2018learned,
  title={Learned primal-dual reconstruction},
  author={Adler, Jonas and {\"O}ktem, Ozan},
  journal={IEEE transactions on medical imaging},
  volume={37},
  number={6},
  pages={1322--1332},
  year={2018},
  publisher={IEEE}
}
@article{kingma2014adam,
  title={Adam: A method for stochastic optimization},
  author={Kingma, Diederik P and Ba, Jimmy},
  journal={arXiv preprint arXiv:1412.6980},
  year={2014}
}
@article{han2018deep,
  title={Deep learning with domain adaptation for accelerated projection-reconstruction {MR}},
  author={Han, Yoseob and Yoo, Jaejun and Kim, Hak Hee and Shin, Hee Jung and Sung, Kyunghyun and Ye, Jong Chul},
  journal={Magnetic resonance in medicine},
  volume={80},
  number={3},
  pages={1189--1205},
  year={2018},
  publisher={Wiley Online Library}
}
@inproceedings{shende2019brief,
  title={A Brief Review on: MRI Images Reconstruction using GAN},
  author={Shende, Priyanka and Pawar, Mahesh and Kakde, Sandeep},
  booktitle={2019 International Conference on Communication and Signal Processing (ICCSP)},
  pages={0139--0142},
  year={2019},
  organization={IEEE}
}
@article{quan2018compressed,
  title={Compressed sensing {MRI} reconstruction using a generative adversarial network with a cyclic loss},
  author={Quan, Tran Minh and Nguyen-Duc, Thanh and Jeong, Won-Ki},
  journal={IEEE transactions on medical imaging},
  volume={37},
  number={6},
  pages={1488--1497},
  year={2018},
  publisher={IEEE}
}
@article{han2019k,
  title={k-space deep learning for accelerated MRI},
  author={Han, Yoseob and Sunwoo, Leonard and Ye, Jong Chul},
  journal={IEEE transactions on medical imaging},
  year={2019},
  publisher={IEEE}
}
@article{Wang2017Learning,
  title={Learning joint-sparse codes for calibration-free parallel MR imaging (LINDBERG)},
  author={Wang, Shanshan and Tan, Sha and Gao, Yuan and Liu, Qiegen and Liang, Dong},
  journal={IEEE Transactions on Medical Imaging},
  volume={37},
  number={1},
  pages={251-261},
  year={2018},
}