{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T14:58:19Z","timestamp":1791212299606,"version":"4.1.0"},"reference-count":80,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computerized Medical Imaging and Graphics"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.compmedimag.2026.102818","type":"journal-article","created":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T15:43:31Z","timestamp":1788795811000},"page":"102818","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["LDPM-v2: Towards undersampled MRI reconstruction with multimodal one-step latent diffusion prior"],"prefix":"10.1016","volume":"135","author":[{"given":"Jingwei","family":"Guan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingjian","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linge","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanlin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Tong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junjie","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingyu","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.compmedimag.2026.102818_b1","unstructured":"Albergo, M.S., Vanden-Eijnden, E., 2023. Building normalizing flows with stochastic interpolants. In: International Conference on Learning Representations."},{"key":"10.1016\/j.compmedimag.2026.102818_b2","series-title":"FLUX.1 Kontext: Flow matching for in-context image generation and editing in latent space","author":"Black Forest Labs","year":"2025"},{"issue":"5","key":"10.1016\/j.compmedimag.2026.102818_b3","doi-asserted-by":"crossref","first-page":"1853","DOI":"10.1109\/TMI.2024.3351702","article-title":"High-frequency space diffusion model for accelerated MRI","volume":"43","author":"Cao","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.compmedimag.2026.102818_b4","doi-asserted-by":"crossref","unstructured":"Cherti, M., Beaumont, R., Wightman, R., Wortsman, M., Ilharco, G., Gordon, C., Schuhmann, C., Schmidt, L., Jitsev, J., 2023. Reproducible scaling laws for contrastive language-image learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 2818\u20132829.","DOI":"10.1109\/CVPR52729.2023.00276"},{"key":"10.1016\/j.compmedimag.2026.102818_b5","series-title":"MediSyn: A generalist text-guided latent diffusion model for diverse medical image synthesis","author":"Cho","year":"2024"},{"key":"10.1016\/j.compmedimag.2026.102818_b6","series-title":"ContextMRI: Enhancing compressed sensing MRI through metadata conditioning","author":"Chung","year":"2025"},{"key":"10.1016\/j.compmedimag.2026.102818_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102479","article-title":"Score-based diffusion models for accelerated MRI","volume":"80","author":"Chung","year":"2022","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.compmedimag.2026.102818_b8","unstructured":"Cohen, E., Achituve, I., Diamant, I., Netzer, A., Habi, H.V., 2025. Efficient image restoration via latent consistency flow matching. In: British Machine Vision Conference. BMVC."},{"key":"10.1016\/j.compmedimag.2026.102818_b9","doi-asserted-by":"crossref","unstructured":"Dao, Q., Phung, H., Dao, T.T., Metaxas, D.N., Tran, A., 2025. Self-corrected flow distillation for consistent one-step and few-step image generation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 3. pp. 2654\u20132662.","DOI":"10.1609\/aaai.v39i3.32269"},{"issue":"4","key":"10.1016\/j.compmedimag.2026.102818_b10","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","article-title":"Compressed sensing","volume":"52","author":"Donoho","year":"2006","journal-title":"IEEE Trans. Inform. Theory"},{"key":"10.1016\/j.compmedimag.2026.102818_b11","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.117756","article-title":"Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions","volume":"230","author":"Duffy","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.compmedimag.2026.102818_b12","unstructured":"Esser, P., Kulal, S., Blattmann, A., Entezari, R., M\u00fcller, J., Saini, H., Levi, Y., Lorenz, D., Sauer, A., Boesel, F., Podell, D., Dockhorn, T., English, Z., Rombach, R., 2024. Scaling rectified flow transformers for high-resolution image synthesis. In: Proceedings of the International Conference on Machine Learning. ICML, In: Proceedings of Machine Learning Research, vol. 235, pp. 12606\u201312633."},{"key":"10.1016\/j.compmedimag.2026.102818_b13","series-title":"MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model","author":"Gao","year":"2024"},{"issue":"6","key":"10.1016\/j.compmedimag.2026.102818_b14","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1002\/mrm.10171","article-title":"Generalized autocalibrating partially parallel acquisitions (GRAPPA)","volume":"47","author":"Griswold","year":"2002","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.compmedimag.2026.102818_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102872","article-title":"Adaptive diffusion priors for accelerated MRI reconstruction","volume":"88","author":"G\u00fcng\u00f6r","year":"2023","journal-title":"Med. Image Anal."},{"issue":"1","key":"10.1016\/j.compmedimag.2026.102818_b16","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1109\/TMI.2023.3314747","article-title":"ReconFormer: Accelerated MRI reconstruction using recurrent transformer","volume":"43","author":"Guo","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.compmedimag.2026.102818_b17","series-title":"Advances in Neural Information Processing Systems, vol. 33","first-page":"6840","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020"},{"key":"10.1016\/j.compmedimag.2026.102818_b18","unstructured":"Hu, E.J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W., 2022. LoRA: Low-rank adaptation of large language models. In: International Conference on Learning Representations."},{"key":"10.1016\/j.compmedimag.2026.102818_b19","series-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023","first-page":"3","article-title":"CDiffMR: Can we replace the Gaussian noise with k-space undersampling for fast MRI?","author":"Huang","year":"2023"},{"key":"10.1016\/j.compmedimag.2026.102818_b20","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/j.neucom.2022.04.051","article-title":"Swin transformer for fast MRI","volume":"493","author":"Huang","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.compmedimag.2026.102818_b21","series-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2024","first-page":"498","article-title":"Noise level adaptive diffusion model for robust reconstruction of accelerated MRI","author":"Huang","year":"2024"},{"key":"10.1016\/j.compmedimag.2026.102818_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2025.103851","article-title":"Robust simultaneous multislice MRI reconstruction using slice-wise learned generative diffusion priors","volume":"108","author":"Huang","year":"2026","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.compmedimag.2026.102818_b23","doi-asserted-by":"crossref","unstructured":"Jiang, W., Xiong, Z., Liu, F., Ye, N., Sun, H., 2024. Fast controllable diffusion models for undersampled MRI reconstruction. In: IEEE International Symposium on Biomedical Imaging. ISBI, pp. 1\u20135.","DOI":"10.1109\/ISBI56570.2024.10635891"},{"key":"10.1016\/j.compmedimag.2026.102818_b24","doi-asserted-by":"crossref","first-page":"191589","DOI":"10.1109\/ACCESS.2025.3630141","article-title":"Neuroinfinity: A lightweight prompt-driven vision\u2013language framework for Alzheimer\u2019s disease stage classification using magnetic resonance imaging","volume":"13","author":"Kaushik","year":"2025","journal-title":"IEEE Access"},{"key":"10.1016\/j.compmedimag.2026.102818_b25","doi-asserted-by":"crossref","unstructured":"Kim, K., Na, Y., Ye, S.-J., Lee, J., Ahn, S.S., Park, J.E., Kim, H., 2024. Controllable text-to-image synthesis for multi-modality MR images. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision. WACV, pp. 7921\u20137930.","DOI":"10.1109\/WACV57701.2024.00775"},{"key":"10.1016\/j.compmedimag.2026.102818_b26","unstructured":"Kingma, D.P., Welling, M., 2014. Auto-encoding variational Bayes. In: International Conference on Learning Representations."},{"issue":"1","key":"10.1016\/j.compmedimag.2026.102818_b27","article-title":"fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning","volume":"2","author":"Knoll","year":"2020","journal-title":"Radiology: Artificial Intelligence"},{"key":"10.1016\/j.compmedimag.2026.102818_b28","doi-asserted-by":"crossref","unstructured":"Korkmaz, Y., Cukur, T., Patel, V.M., 2023. Self-supervised MRI reconstruction with unrolled diffusion models. In: Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023. In: Lecture Notes in Computer Science, vol. 14229, pp. 491\u2013501.","DOI":"10.1007\/978-3-031-43999-5_47"},{"key":"10.1016\/j.compmedimag.2026.102818_b29","series-title":"Advances in Neural Information Processing Systems, vol. 37","first-page":"63082","article-title":"Improving the training of rectified flows","author":"Lee","year":"2024"},{"key":"10.1016\/j.compmedimag.2026.102818_b30","doi-asserted-by":"crossref","unstructured":"Liang, J., Cao, J., Sun, G., Zhang, K., Van Gool, L., Timofte, R., 2021. SwinIR: Image restoration using Swin transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. ICCV, pp. 1833\u20131844.","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"10.1016\/j.compmedimag.2026.102818_b31","series-title":"Computer Vision \u2013 ECCV 2024","first-page":"430","article-title":"DiffBIR: Toward blind image restoration with generative diffusion prior","author":"Lin","year":"2024"},{"issue":"5","key":"10.1016\/j.compmedimag.2026.102818_b32","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.1109\/TMI.2010.2100850","article-title":"Accelerated dynamic MRI exploiting sparsity and low-rank structure: k-t SLR","volume":"30","author":"Lingala","year":"2011","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.compmedimag.2026.102818_b33","unstructured":"Lipman, Y., Chen, R.T., Ben-Hamu, H., Nickel, M., Le, M., 2023. Flow matching for generative modeling. In: International Conference on Learning Representations."},{"key":"10.1016\/j.compmedimag.2026.102818_b34","unstructured":"Liu, X., Gong, C., Liu, Q., 2023. Flow straight and fast: Learning to generate and transfer data with rectified flow. In: International Conference on Learning Representations."},{"key":"10.1016\/j.compmedimag.2026.102818_b35","doi-asserted-by":"crossref","unstructured":"Liu, X., Tang, H., 2025. DiffFNO: Diffusion Fourier neural operator. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 150\u2013160.","DOI":"10.1109\/CVPR52734.2025.00023"},{"key":"10.1016\/j.compmedimag.2026.102818_b36","unstructured":"Liu, X., Zhang, X., Ma, J., Peng, J., Liu, Q., 2024. InstaFlow: One step is enough for high-quality diffusion-based text-to-image generation. In: International Conference on Learning Representations."},{"key":"10.1016\/j.compmedimag.2026.102818_b37","doi-asserted-by":"crossref","unstructured":"Luo, Z., Gustafsson, F.K., Zhao, Z., Sj\u00f6lund, J., Sch\u00f6n, T.B., 2024. Photo-realistic image restoration in the wild with controlled vision-language models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops. CVPRW, pp. 6641\u20136651.","DOI":"10.1109\/CVPRW63382.2024.00658"},{"key":"10.1016\/j.compmedimag.2026.102818_b38","series-title":"Information Processing in Medical Imaging \u2013 IPMI 2025","first-page":"127","article-title":"Unsupervised accelerated MRI reconstruction via ground-truth-free flow matching","author":"Luo","year":"2025"},{"key":"10.1016\/j.compmedimag.2026.102818_b39","series-title":"Latent posterior-mean rectified flow for higher-fidelity perceptual face restoration","author":"Luo","year":"2025"},{"issue":"2","key":"10.1016\/j.compmedimag.2026.102818_b40","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1002\/mrm.22428","article-title":"SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space","volume":"64","author":"Lustig","year":"2010","journal-title":"Magn. Reson. Med."},{"issue":"1","key":"10.1016\/j.compmedimag.2026.102818_b41","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1038\/s41467-024-44824-z","article-title":"Segment anything in medical images","volume":"15","author":"Ma","year":"2024","journal-title":"Nat. Commun."},{"key":"10.1016\/j.compmedimag.2026.102818_b42","doi-asserted-by":"crossref","unstructured":"Ma, Y., Liu, X., Chen, X., Liu, W., Wu, C., Wu, Z., Pan, Z., Xie, Z., Zhang, H., Yu, X., Zhao, L., Wang, Y., Liu, J., Ruan, C., 2025. JanusFlow: Harmonizing autoregression and rectified flow for unified multimodal understanding and generation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 7739\u20137751.","DOI":"10.1109\/CVPR52734.2025.00725"},{"issue":"1","key":"10.1016\/j.compmedimag.2026.102818_b43","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.mri.2014.08.031","article-title":"Improving synthesis and analysis prior blind compressed sensing with low-rank constraints for dynamic MRI reconstruction","volume":"33","author":"Majumdar","year":"2015","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.compmedimag.2026.102818_b44","unstructured":"Ohayon, G., Michaeli, T., Elad, M., 2025. Posterior-mean rectified flow: Towards minimum MSE photo-realistic image restoration. In: International Conference on Learning Representations."},{"key":"10.1016\/j.compmedimag.2026.102818_b45","series-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023","first-page":"199","article-title":"SMRD: SURE-based robust MRI reconstruction with diffusion models","author":"Ozturkler","year":"2023"},{"key":"10.1016\/j.compmedimag.2026.102818_b46","series-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2022","first-page":"623","article-title":"Towards performant and reliable undersampled MR reconstruction via diffusion model sampling","author":"Peng","year":"2022"},{"key":"10.1016\/j.compmedimag.2026.102818_b47","unstructured":"Pourya, M., El Rawas, B., Unser, M., 2026. FLOWER: A flow-matching solver for inverse problems. In: International Conference on Learning Representations."},{"issue":"5","key":"10.1016\/j.compmedimag.2026.102818_b48","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1002\/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S","article-title":"SENSE: Sensitivity encoding for fast MRI","volume":"42","author":"Pruessmann","year":"1999","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.compmedimag.2026.102818_b49","series-title":"Computer Vision \u2013 ECCV 2024","first-page":"446","article-title":"SPIRE: Semantic prompt-driven image restoration","author":"Qi","year":"2024"},{"key":"10.1016\/j.compmedimag.2026.102818_b50","doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B., 2022. High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 10674\u201310685.","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"10.1016\/j.compmedimag.2026.102818_b51","unstructured":"Simonyan, K., Zisserman, A., 2015. Very deep convolutional networks for large-scale image recognition. In: International Conference on Learning Representations."},{"key":"10.1016\/j.compmedimag.2026.102818_b52","unstructured":"Sohl-Dickstein, J., Weiss, E., Maheswaranathan, N., Ganguli, S., 2015. Deep unsupervised learning using nonequilibrium thermodynamics. In: Proceedings of the International Conference on Machine Learning. ICML, In: Proceedings of Machine Learning Research, vol. 37, pp. 2256\u20132265."},{"key":"10.1016\/j.compmedimag.2026.102818_b53","series-title":"Advances in Neural Information Processing Systems","first-page":"11918","article-title":"Generative modeling by estimating gradients of the data distribution","volume":"32","author":"Song","year":"2019"},{"key":"10.1016\/j.compmedimag.2026.102818_b54","unstructured":"Song, Y., Sohl-Dickstein, J., Kingma, D.P., Kumar, A., Ermon, S., Poole, B., 2021. Score-based generative modeling through stochastic differential equations. In: International Conference on Learning Representations."},{"key":"10.1016\/j.compmedimag.2026.102818_b55","series-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020","first-page":"64","article-title":"End-to-end variational networks for accelerated MRI reconstruction","volume":"12262","author":"Sriram","year":"2020"},{"issue":"1","key":"10.1016\/j.compmedimag.2026.102818_b56","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1109\/TMI.2023.3314008","article-title":"Joint cross-attention network with deep modality prior for fast MRI reconstruction","volume":"43","author":"Sun","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.compmedimag.2026.102818_b57","series-title":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society","first-page":"1","article-title":"LDPM: Towards undersampled MRI reconstruction with MR-VAE and latent diffusion prior","author":"Tang","year":"2025"},{"key":"10.1016\/j.compmedimag.2026.102818_b58","unstructured":"Theis, L., Shi, W., Cunningham, A., Husz\u00e1r, F., 2017. Lossy image compression with compressive autoencoders. In: International Conference on Learning Representations."},{"key":"10.1016\/j.compmedimag.2026.102818_b59","series-title":"Advances in Neural Information Processing Systems, vol. 34","first-page":"11287","article-title":"Score-based generative modeling in latent space","author":"Vahdat","year":"2021"},{"issue":"4","key":"10.1016\/j.compmedimag.2026.102818_b60","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.compmedimag.2026.102818_b61","series-title":"Advances in Neural Information Processing Systems, vol. 37","first-page":"138981","article-title":"SemFlow: Binding semantic segmentation and image synthesis via rectified flow","author":"Wang","year":"2024"},{"key":"10.1016\/j.compmedimag.2026.102818_b62","doi-asserted-by":"crossref","DOI":"10.1016\/j.compmedimag.2025.102593","article-title":"Diffusion model for medical image denoising, reconstruction and translation","volume":"124","author":"Wang","year":"2025","journal-title":"Comput. Med. Imaging Graph."},{"issue":"6","key":"10.1016\/j.compmedimag.2026.102818_b63","article-title":"Toward general text-guided multimodal brain MRI synthesis for diagnosis and medical image analysis","volume":"6","author":"Wang","year":"2025","journal-title":"Cell Rep. Med."},{"issue":"12","key":"10.1016\/j.compmedimag.2026.102818_b64","doi-asserted-by":"crossref","first-page":"5929","DOI":"10.1007\/s11263-024-02168-7","article-title":"Exploiting diffusion prior for real-world image super-resolution","volume":"132","author":"Wang","year":"2024","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.compmedimag.2026.102818_b65","doi-asserted-by":"crossref","DOI":"10.1016\/j.compmedimag.2024.102475","article-title":"Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac cine imaging","volume":"120","author":"Xu","year":"2025","journal-title":"Comput. Med. Imaging Graph."},{"key":"10.1016\/j.compmedimag.2026.102818_b66","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.110981","article-title":"Textual prompt guided image restoration","volume":"155","author":"Yan","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"6","key":"10.1016\/j.compmedimag.2026.102818_b67","doi-asserted-by":"crossref","first-page":"1310","DOI":"10.1109\/TMI.2017.2785879","article-title":"DAGAN: Deep de-aliasing generative adversarial networks for fast compressed sensing MRI reconstruction","volume":"37","author":"Yang","year":"2018","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.compmedimag.2026.102818_b68","doi-asserted-by":"crossref","unstructured":"Yellapragada, S., Graikos, A., Prasanna, P., Kurc, T., Saltz, J., Samaras, D., 2024. PathLDM: Text conditioned latent diffusion model for histopathology. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision. WACV, pp. 5170\u20135179.","DOI":"10.1109\/WACV57701.2024.00510"},{"key":"10.1016\/j.compmedimag.2026.102818_b69","series-title":"fastMRI: An open dataset and benchmarks for accelerated MRI","author":"Zbontar","year":"2018"},{"key":"10.1016\/j.compmedimag.2026.102818_b70","doi-asserted-by":"crossref","unstructured":"Zhang, C., Chen, Y., Fan, Z., Huang, Y., Weng, W., Ge, R., Zeng, D., Wang, C., 2024. TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method. In: IEEE International Symposium on Biomedical Imaging. ISBI, pp. 1\u20135.","DOI":"10.1109\/ISBI56570.2024.10635308"},{"key":"10.1016\/j.compmedimag.2026.102818_b71","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2024.108668","article-title":"Mutli-modal straight flow matching for accelerated MR imaging","volume":"178","author":"Zhang","year":"2024","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.compmedimag.2026.102818_b72","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O., 2018. The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 586\u2013595.","DOI":"10.1109\/CVPR.2018.00068"},{"key":"10.1016\/j.compmedimag.2026.102818_b73","doi-asserted-by":"crossref","unstructured":"Zhang, L., Rao, A., Agrawala, M., 2023. Adding conditional control to text-to-image diffusion models. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. ICCV, pp. 3813\u20133824.","DOI":"10.1109\/ICCV51070.2023.00355"},{"issue":"9","key":"10.1016\/j.compmedimag.2026.102818_b74","doi-asserted-by":"crossref","first-page":"3670","DOI":"10.1109\/TMI.2024.3519307","article-title":"DiffBoost: Enhancing medical image segmentation via text-guided diffusion model","volume":"44","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"9","key":"10.1016\/j.compmedimag.2026.102818_b75","doi-asserted-by":"crossref","first-page":"1809","DOI":"10.1109\/TMI.2012.2203921","article-title":"Image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints","volume":"31","author":"Zhao","year":"2012","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.compmedimag.2026.102818_b76","doi-asserted-by":"crossref","unstructured":"Zhou, B., Zhou, S.K., 2020. DuDoRNet: Learning a dual-domain recurrent network for fast MRI reconstruction with deep T1 prior. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 4272\u20134281.","DOI":"10.1109\/CVPR42600.2020.00433"},{"issue":"10","key":"10.1016\/j.compmedimag.2026.102818_b77","doi-asserted-by":"crossref","first-page":"9150","DOI":"10.1109\/TPAMI.2025.3584921","article-title":"Learning efficient and effective trajectories for differential equation-based image restoration","volume":"47","author":"Zhu","year":"2025","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.compmedimag.2026.102818_b78","series-title":"Computer Vision \u2013 ECCV 2024","first-page":"342","article-title":"SlimFlow: Training smaller one-step diffusion models with rectified flow","volume":"vol. 15140","author":"Zhu","year":"2024"},{"key":"10.1016\/j.compmedimag.2026.102818_b79","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Zhao, W., Li, A., Tang, Y., Zhou, J., Lu, J., 2024b. FlowIE: Efficient image enhancement via rectified flow. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 13\u201322.","DOI":"10.1109\/CVPR52733.2024.00010"},{"issue":"2","key":"10.1016\/j.compmedimag.2026.102818_b80","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/S1076-6332(03)00671-8","article-title":"Statistical validation of image segmentation quality based on a spatial overlap index: Scientific reports","volume":"11","author":"Zou","year":"2004","journal-title":"Acad. Radiol."}],"container-title":["Computerized Medical Imaging and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611126001217?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611126001217?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T14:48:03Z","timestamp":1791211683000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0895611126001217"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":80,"alternative-id":["S0895611126001217"],"URL":"https:\/\/doi.org\/10.1016\/j.compmedimag.2026.102818","relation":{},"ISSN":["0895-6111"],"issn-type":[{"value":"0895-6111","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"LDPM-v2: Towards undersampled MRI reconstruction with multimodal one-step latent diffusion prior","name":"articletitle","label":"Article Title"},{"value":"Computerized Medical Imaging and Graphics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compmedimag.2026.102818","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"102818"}}