@article{ghai2015multiparametricMRI,
  author    = {Ghai S and Haider MA},
  title     = {Multiparametric-MRI in diagnosis of prostate cancer},
  journal   = {Indian Journal of Urology},
  volume    = {31},
  number    = {3},
  pages     = {194--201},
  year      = {2015},
  month     = {Jul-Sep},
  doi       = {10.4103/0970-1591.159606},
  pmid      = {26166962},
  pmcid     = {PMC4495493}
}

@article{berman2016dceMRI,
  author    = {Berman RM and Brown AM and Chang SD and Sankineni S and Kadakia M and Wood BJ and Pinto PA and Choyke PL and Turkbey B},
  title     = {DCE MRI of prostate cancer},
  journal   = {Abdominal Radiology (NY)},
  volume    = {41},
  number    = {5},
  pages     = {844--853},
  year      = {2016},
  month     = {May},
  doi       = {10.1007/s00261-015-0589-3},
  pmid      = {27193787},
  pmcid     = {PMC6462146}
}
@article{haider2019pirads,
  author    = {Haider MA and Padhani AR and Villeirs G and Macura KJ and Tempany CM and Choyke PL and Cornud F and Margolis DJ and Thoeny HC and Verma S and Barentsz J and Weinreb JC and Turkbey B and Rosenkrantz AB},
  title     = {PI-RADS: Prostate imaging reporting and data system v2.1},
  journal   = {European Urology},
  year      = {2019}
}
@article{guo2018gadolinium,
  author    = {Guo BJ and Yang ZL and Zhang LJ},
  title     = {Gadolinium Deposition in Brain: Current Scientific Evidence and Future Perspectives},
  journal   = {Frontiers in Molecular Neuroscience},
  volume    = {11},
  pages     = {335},
  year      = {2018},
  month     = {Sep},
  doi       = {10.3389/fnmol.2018.00335},
  pmid      = {30294259},
  pmcid     = {PMC6158336}
}
@article{rogosnitzky2016gadolinium,
  author    = {Rogosnitzky M and Branch S},
  title     = {Gadolinium-based contrast agent toxicity: a review of known and proposed mechanisms},
  journal   = {Biometals},
  volume    = {29},
  number    = {3},
  pages     = {365--376},
  year      = {2016},
  month     = {Jun},
  doi       = {10.1007/s10534-016-9931-7},
  pmid      = {27053146},
  pmcid     = {PMC4879157}
}
@article{Armato2018Prostatex,
  title   = {PROSTATEx Challenges for Computerized Classification of Prostate Lesions from Multiparametric Magnetic Resonance Images},
  author  = {Armato, Samuel G. and others},
  journal = {Journal of Medical Imaging},
  volume  = {5},
  number  = {4},
  pages   = {044501},
  year    = {2018},
  doi     = {10.1117/1.JMI.5.4.044501}
}

@article{zhang2025deepLearningHCC,
  author    = {Zhang Y and Sheng R and Qian X and Wang H and Wu F and Dai H and Song M and Yang C and Zhou J and Zhang W and Zeng M},
  title     = {Deep learning empowered gadolinium-free contrast-enhanced abbreviated MRI for diagnosing hepatocellular carcinoma},
  journal   = {JHEP Reports},
  volume    = {7},
  number    = {5},
  pages     = {101392},
  year      = {2025},
  month     = {Mar},
  doi       = {10.1016/j.jhepr.2025.101392},
  pmid      = {40337547},
  pmcid     = {PMC12056404}
}
@article{yang2024conditionaldiffusion,
  title   = {Conditional Image Synthesis with Diffusion Models: A Survey},
  author  = {Yang, X. and others},
  journal = {arXiv preprint arXiv:2409.19365},
  year    = {2024}
}


@article{fonnegra2025lateStageBreastMRI,
  author    = {Fonnegra RD and Hernández ML and Caicedo JC and Díaz GM},
  title     = {Synthesizing late-stage contrast enhancement in breast MRI: A comprehensive pipeline leveraging temporal contrast enhancement dynamics},
  journal   = {Computers in Biology and Medicine},
  volume    = {196},
  pages     = {110660},
  year      = {2025},
  month     = {Sep},
  doi       = {10.1016/j.compbiomed.2025.110660},
  pmid      = {40652758}
}
@article{preetha2021postContrastSynthesis,
  author    = {Preetha CJ and Jayachandran C and others},
  title     = {Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study},
  journal   = {The Lancet Oncology},
  year      = {2021},
  month     = {Dec},
  doi       = {10.1016/S1470-2045(21)00525-5}
}
@inproceedings{zhang2023ce_breast_mri,
  author    = {Tianyu Zhang and Luyi Han and Anna D'Angelo and Xin Wang and Yuan Gao and Chunyao Lu and Jonas Teuwen and Regina Beets-Tan and Tao Tan and Ritse Mann},
  title     = {Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism},
  booktitle = {Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
  year      = {2023},
  doi       = {10.1007/978-3-031-43990-2_8}
}

@inproceedings{xue2022bidirectionalMRI,
  author    = {Xue Y and Dewey BE and Zuo L and Han S and Carass A and Duan P and Remedios SW and Pham DL and Saidha S and Calabresi PA and Prince JL},
  title     = {Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement},
  booktitle = {Simulation and Synthesis in Medical Imaging (Simul Synth Med Imaging)},
  volume    = {13570},
  pages     = {55--65},
  year      = {2022},
  month     = {Sep},
  doi       = {10.1007/978-3-031-16980-9_6},
  pmid      = {36326241},
  pmcid     = {PMC9623769}
}
@article{wang2022deepLearning3dMRI,
  author    = {Wang Y and Wu W and Yang Y and Hu H and Yu S and Dong X and Chen F and Liu Q},
  title     = {Deep learning-based 3D MRI contrast-enhanced synthesis from a 2D noncontrast T2Flair sequence},
  journal   = {Medical Physics},
  volume    = {49},
  number    = {7},
  pages     = {4478--4493},
  year      = {2022},
  month     = {Jul},
  doi       = {10.1002/mp.15636},
  pmid      = {35396712}
}

@inproceedings{Caicedo2023EarlyLateDCEGAN,
  author    = {Juan C. Caicedo and Rub{\'e}n D. Fonnegra and Mar{\'i}a Liliana Hernandez and Gloria M. D{\'i}az},
  title     = {Early-to-Late Prediction of DCE-{MRI} Contrast-Enhanced Images Using Generative Adversarial Networks},
  booktitle = {Proceedings of the 2023 {IEEE} 20th International Symposium on Biomedical Imaging (ISBI)},
  pages     = {1--5},
  year      = {2023}
}

@article{Kim2023TumorAttentiveSegGAN,
  author  = {Eunji Kim and Hyeon{-}Hui Cho and Jae Kwon and Young{-}Taek Oh and Eun Sook Ko and Hee Jung Park},
  title   = {Tumor-Attentive Segmentation-Guided {GAN} for Synthesizing Breast Contrast-Enhanced {MRI} Without Contrast Agents},
  journal = {IEEE Journal of Translational Engineering in Health and Medicine},
  volume  = {11},
  pages   = {32--43},
  year    = {2023},
  doi     = {10.1109/JTEHM.2022.3223182}
}

@inproceedings{NEURIPS2020_4c5bcfec,
 author = {Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
 pages = {6840--6851},
 publisher = {Curran Associates, Inc.},
 title = {Denoising Diffusion Probabilistic Models},
 url = {https://proceedings.neurips.cc/paper_files/paper/2020/file/4c5bcfec8584af0d967f1ab10179ca4b-Paper.pdf},
 volume = {33},
 year = {2020}
}
@InProceedings{Liu_2024_CVPR,
    author    = {Liu, Jiawei and Wang, Qiang and Fan, Huijie and Wang, Yinong and Tang, Yandong and Qu, Liangqiong},
    title     = {Residual Denoising Diffusion Models},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2024},
    pages     = {2773-2783}
}
@article{ozbey2023unsupervisedDiffusion,
  author    = {Muzaffer Özbey and Onat Dalmaz and Salman UH Dar and Hasan A Bedel and Şaban Özturk and Alper Güngör and Tolga Çukur},
  title     = {Unsupervised Medical Image Translation with Adversarial Diffusion Models},
  journal   = {arXiv preprint arXiv:2207.08208},
  year      = {2023},
  url       = {https://arxiv.org/abs/2207.08208}
}

@article{yue2023resshift,
  author    = {Zongsheng Yue and Jianyi Wang and Chen Change Loy},
  title     = {ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting},
  journal   = {arXiv preprint arXiv:2307.12348},
  year      = {2023},
  url       = {https://arxiv.org/abs/2307.12348}
}
@article{wang2025rdbm,
  title         = {Residual Diffusion Bridge Model for Image Restoration},
  author        = {Wang, Hebaixu and Zhang, Jing and Chen, Haoyang and Guo, Haonan and Wang, Di and Ma, Jiayi and Du, Bo},
  journal       = {arXiv preprint arXiv:2510.23116},
  year          = {2025}
}

@article{bharti2025aadDCE,
  author    = {Divya Bharti and Sriprabha Ramanarayanan and Sadhana S and Kishore Kumar M and Keerthi Ram and Harsh Agarwal and Ramesh Venkatesan and Mohanasankar Sivaprakasam},
  title     = {AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis},
  journal   = {arXiv preprint arXiv:2502.02555},
  year      = {2025},
  note      = {Accepted at ICASSP 2025}
}
@inproceedings{bone2021contrastISBI,
  author    = {Alexandre Bone and Samy Ammari and Jean-Philippe Lamarque and Mickael Elhaik and Emilie Chouzenoux and Francois Nicolas and Philippe Robert and Corinne Balleyguier and Nathalie Lassau and Marc-Michel Rohe},
  title     = {Contrast-enhanced brain MRI synthesis with deep learning: key input modalities and asymptotic performance},
  booktitle = {2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)},
  pages     = {1159--1163},
  year      = {2021},
  publisher = {IEEE}
}
@inproceedings{dalmaz2022multiContrastSIU,
  author    = {Onat Dalmaz and Idil Aytekin and Salman Ul Hassan Dar and Aykut Erdem and Erkut Erdem and Tolga Cukur},
  title     = {Multi-contrast MRI synthesis with channel-exchanging-network},
  booktitle = {2022 30th Signal Processing and Communications Applications Conference (SIU)},
  pages     = {1--4},
  year      = {2022},
  publisher = {IEEE}
}

@article{dalmaz2022resvit,
  author    = {Onat Dalmaz and Mahmut Yurt and Tolga Cukur},
  title     = {ResViT: Residual vision transformers for multimodal medical image synthesis},
  journal   = {IEEE Transactions on Medical Imaging},
  volume    = {41},
  number    = {10},
  pages     = {2598--2614},
  year      = {2022},
  doi       = {10.1109/TMI.2022.3167808}
}

@inproceedings{Isola2017pix2pix,
  author    = {Isola, Phillip and Zhu, Jun{-}Yan and Zhou, Tinghui and Efros, Alexei A.},
  title     = {Image-to-Image Translation with Conditional Adversarial Networks},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2017},
  pages     = {5967--5976}
}

@inproceedings{Kong2021RegGAN,
  author    = {Kong, Lingke and Lian, Chenyu and Huang, Detian and Li, Zhenjiang and Hu, Yanle and Zhou, Qichao},
  title     = {Breaking the Dilemma of Medical Image-to-image Translation},
  booktitle = {Advances in Neural Information Processing Systems},
  volume    = {34},
  year      = {2021},
  note      = {NeurIPS 2021, 6--14 December 2021, virtual},
  pages     = {1964--1978}
}

@inproceedings{Feng2021MINet,
  author    = {Feng, Chun{-}Mei and Fu, Huazhu and Yuan, Shuhao and Xu, Yong},
  title     = {Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2021},
  year      = {2021},
  pages     = {167--177}
}
@inproceedings{Feng2021T2Net,
  author    = {Feng, Chun{-}Mei and Yan, Yunlu and Fu, Huazhu and Chen, Li and Xu, Yong},
  title     = {Task Transformer Network for Joint MRI Reconstruction and Super-Resolution},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2021},
  year      = {2021},
  pages     = {307--317}
}

@article{fonnegra2025synthesizing,
  author    = {Ruben D. Fonnegra and Maria Liliana Hernandez and Juan C. Caicedo and Gloria M. Díaz},
  title     = {Synthesizing late-stage contrast enhancement in breast MRI: A comprehensive pipeline leveraging temporal contrast enhancement dynamics},
  journal   = {arXiv preprint arXiv:2409.01596},
  year      = {2025}
}
@article{gong2018deepLearningGadolinium,
  author    = {Enhao Gong and John M Pauly and Max Wintermark and Greg Zaharchuk},
  title     = {Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI},
  journal   = {Journal of Magnetic Resonance Imaging},
  volume    = {48},
  number    = {2},
  pages     = {330--340},
  year      = {2018},
  doi       = {10.1002/jmri.25970}
}
@article{kim2022tumorAttentive,
  author    = {Eunjin Kim and Hwan-Ho Cho and Jieun Kwon and Yeon-Tae Oh and Eun Sook Ko and Hyun Park},
  title     = {Tumor-attentive segmentation-guided GAN for synthesizing breast contrast-enhanced MRI without contrast agents},
  journal   = {IEEE Journal of Translational Engineering in Health and Medicine},
  pages     = {32--43},
  year      = {2022}
}
@article{lei2024ifgan,
  author    = {Yanrong Lei and Liming Xu and Xian Wang and Xueying Fan and Bochuan Zheng},
  title     = {IFGAN: Pre-to post-contrast medical image synthesis based on interactive frequency GAN},
  journal   = {Electronics},
  volume    = {13},
  number    = {22},
  pages     = {4351},
  year      = {2024}
}
@misc{debats2017prostatex,
  author    = {Debats Litjens and et al.},
  title     = {Prostatex dataset},
  howpublished = {The Cancer Imaging Archive},
  year      = {2017},
  note      = {\url{https://wiki.cancerimagingarchive.net/display/Public/PROSTATEx}}
}
@inproceedings{kumar2024dcediff,
  author    = {Kishore Kumar M and Sriprabha Ramanarayanan and Sadhana S and Arunima Sarkar and Matcha Naga Gayathri and Keerthi Ram and Mohanasankar Sivaprakasam},
  title     = {DCE-Diff: Diffusion model for synthesis of early and late dynamic contrast-enhanced MR images from non-contrast multimodal inputs},
  booktitle = {2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  pages     = {5174--5183},
  year      = {2024}
}
@article{osman2023densedilatedCE,
  author    = {Alexander FI Osman and Nissren M Tamam},
  title     = {Contrast-enhanced MRI synthesis using dense-dilated residual convolutions based 3D network toward elimination of gadolinium in neuro-oncology},
  journal   = {Journal of Applied Clinical Medical Physics},
  volume    = {24},
  number    = {12},
  pages     = {e14120},
  year      = {2023},
  doi       = {10.1002/acm2.14120}
}
@inproceedings{caicedo2023earlyLateDCE,
  author    = {J. C. Caicedo and R. D. Fonnegra and M. Liliana Hernandez and G. M. Díaz},
  title     = {Early-to-late prediction of DCE-MRI contrast-enhanced images in using generative adversarial networks},
  booktitle = {2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)},
  pages     = {1--5},
  year      = {2023}
}
@article{Dhariwal2021,
  title   = {Diffusion models beat {GAN}s on image synthesis},
  author  = {Dhariwal, Prafulla and Nichol, Alex},
  journal = {Advances in Neural Information Processing Systems},
  volume  = {34},
  pages   = {8780--8794},
  year    = {2021}
}
@article{Song2020ScoreSDE,
  title   = {Score-based generative modeling through stochastic differential equations},
  author  = {Song, Yang and Sohl-Dickstein, Jascha and Kingma, Diederik P. and Kumar, Abhishek and Ermon, Stefano and Poole, Ben},
  journal = {arXiv preprint arXiv:2011.13456},
  year    = {2020}
}
@article{sadhana2024dceFormer,
  author    = {Sadhana S and Sriprabha Ramanarayanan and Arunima Sarkar and Matcha Naga Gayathri and Keerthi Ram and Mohanasankar Sivaprakasam},
  title     = {DCE-Former: A transformer-based model with mutual information and frequency-based loss functions for early and late response prediction in prostate DCE-MRI},
  journal   = {arXiv preprint arXiv:2409.xxxxx},
  year      = {2024}
}
@article{tamada2024differentiatingProstate,
  author    = {Tsutomu Tamada and Mitsuru Takeuchi and Hiroyuki Watanabe and Atsushi Higaki and Kazunori Moriya and Akihiko Kanki and Yoshihiko Fukukura and Akira Yamamoto},
  title     = {Differentiating clinically significant prostate cancer from clinically insignificant prostate cancer using qualitative and semi-quantitative indices of dynamic contrast-enhanced MRI},
  journal   = {Discover Oncology},
  volume    = {15},
  number    = {1},
  pages     = {770},
  year      = {2024},
  doi       = {10.1007/s12672-024-01627-y}
}
@article{haider2019pirads,
  author    = {Haider MA and Padhani AR and Villeirs G and Macura KJ and Tempany CM and Choyke PL and Cornud F and Margolis DJ and Thoeny HC and Verma S and Barentsz J and Weinreb JC and Turkbey B and Rosenkrantz AB},
  title     = {PI-RADS: Prostate imaging reporting and data system v2.1},
  journal   = {European Urology},
  year      = {2019}
}

@article{li2024mtfn,
  author    = {Wei Li and Jiaye Liu and Shanshan Wang and Chaolu Feng},
  title     = {MTFN: multi-temporal feature fusing network with co-attention for DCE-MRI synthesis},
  journal   = {BMC Medical Imaging},
  volume    = {24},
  number    = {1},
  pages     = {47},
  year      = {2024},
  doi       = {10.1186/s12880-024-01049-8}
}
@article{ghai2015multiparametricMRI,
  author    = {S Ghai and MA Haider},
  title     = {Multiparametric-MRI in diagnosis of prostate cancer},
  journal   = {Indian Journal of Urology},
  volume    = {31},
  number    = {3},
  pages     = {194--201},
  year      = {2015},
  month     = {Jul-Sep},
  doi       = {10.4103/0970-1591.159606},
  pmid      = {26166962},
  pmcid     = {PMC4495493}
}

@article{yan2022swinGAN,
  author    = {Shouang Yan and Chengyan Wang and Weibo Chen and Jun Lyu},
  title     = {Swin transformer-based GAN for multi-modal medical image translation},
  journal   = {Frontiers in Oncology},
  volume    = {12},
  pages     = {942511},
  year      = {2022},
  doi       = {10.3389/fonc.2022.942511}
}
@inproceedings{Ou2024PriorResidualDiffusion,
  author    = {Zaixin Ou and Caiwen Jiang and Yongsheng Pan and Yuanwang Zhang and Zhiming Cui and Dinggang Shen},
  title     = {A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI},
  booktitle = {Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24)},
  pages     = {4769--4777},
  year      = {2024},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  doi       = {10.24963/ijcai.2024/527}
}
@misc{Choyke2016ProstateMRI,
  author    = {Choyke, Peter and Turkbey, Baris and Pinto, Peter and Merino, Maria and Wood, Bradford},
  title     = {Data from PROSTATE-MRI},
  year      = {2016},
  publisher = {The Cancer Imaging Archive},
  doi       = {10.7937/K9/TCIA.2016.6046GUDv},
  url       = {https://doi.org/10.7937/K9/TCIA.2016.6046GUDv}
}

@inproceedings{kompella2019segmentation,
  author    = { Kompella, G. and Antico, M. and Sasazawa, F. and Jeevakala, S. and Arnold, J. and Mejia Perez, J. and Carneiro, G. },
  title     = { Segmentation of femoral cartilage from knee ultrasound images using {M}ask {R-CNN} },
  booktitle = { 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) },
  year      = { 2019 },
  pages     = { 966--969 },
  publisher = { IEEE },
}

@incollection{Murugesan2019ReconGLGAN,
  author    = {Balamurali Murugesan and S. Vijaya Raghavan and Kaushik Sarveswaran and Keerthi Ram and Mohanasankar Sivaprakasam},
  title     = {Recon-{GLGAN}: A Global-Local Context Based Generative Adversarial Network for {MRI} Reconstruction},
  booktitle = {Machine Learning for Medical Image Reconstruction},
  editor    = {Florian Knoll and Andreas Maier and Daniel Rueckert and Jong Chul Ye},
  publisher = {Springer International Publishing},
  address   = {Cham},
  year      = {2019},
  pages     = {3--15},
  isbn      = {978-3-030-33843-5},
  doi       = {10.1007/978-3-030-33843-5_1}
}

@article{Beauferris2022MCMRIChallenge,
  author  = {Yann Beauferris and Jeroen Teuwen and Dimitrios Karkalousos and Nael Moriakov and Matthijs Caan and George Yiasemis and Hauke Sandstede and Kerstin Hammernik and Santiago Aja-Fern{\'a}ndez and Ulas Bagci and Matthew J. Muckley and Dongwook Lee and Jo Schlemper and Kerem C. Tezcan and Yao Yu and Tanel P{\"a}rnamaa and Jo{\~a}o F. C. Mota and Tim Bakker and Jurjen Bos and S. Joost Brinkerink and Tristan T.F.T. van de Kamp and Anouk van der Hoek and Shreyan Ganguly and Mahdi Soltanolkotabi and Kilian M. Pohl and Jure Zbontar and Tullie Murrell and Aaron Defazio and Daniel K. Sodickson and Michael Lustig and Leslie Ying and Kerstin B. Pruessmann and Martijn A. Cloos and Juan Eugenio Iglesias and Bram {van Ginneken} and Richard Frayne and Roberto Souza},
  title   = {Multi-Coil {MRI} Reconstruction Challenge---Assessing Brain {MRI} Reconstruction Models and Their Generalizability to Varying Coil Configurations},
  journal = {Frontiers in Neuroscience},
  year    = {2022},
  volume  = {16},
  pages   = {919186},
  doi     = {10.3389/fnins.2022.919186},
  publisher = {Frontiers}
}
@inproceedings{ramanarayanan2020mri,
  author    = {S. Ramanarayanan and S. Murugesan},
  title     = {MRI Super-Resolution Using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet Loss},
  booktitle = {Workshop on Machine Learning for Medical Image Reconstruction (MLMIR) / Medical Imaging with Deep Learning (MIDL)},
  year      = {2020}
}
@article{ramanarayanan2023mci,
  author    = {S. Ramanarayanan and B. Murugesan and A. Palla},
  title     = {MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction},
  journal   = {Neurocomputing},
  volume    = {555},
  pages     = {1--14},
  year      = {2023}
}
@article{ramanarayanan2025shformer,
  author    = {S. Ramanarayanan and others},
  title     = {SHFormer: Dynamic spectral filtering convolutional neural network and high-pass kernel generation transformer for adaptive MRI reconstruction},
  journal   = {Neural Networks},
  volume    = {187},
  pages     = {107334},
  year      = {2025}
}