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Recently, diffusion models (DM) have been applied in magnetic resonance imaging (MRI) super-resolution (SR) reconstruction, exhibiting impressive performance, especially with regard to detailed reconstruction.
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Jianchao Yang, John Wright, Thomas S Huang, and Yi Ma · 2010
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Generative adversarial nets
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Multi-contrast super-resolution mri through a progressive network
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Pytorch: An imperative style, high-performance deep learning library
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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High-resolution pelvic mri reconstruction using a generative adversarial network with attention and cyclic loss
Guangyuan Li, Jun Lv, Xiangrong Tong, Chengyan Wang, and Guang Yang · 2021
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Swinir: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
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Masa-sr: Matching acceleration and spatial adaptation for reference-based image super-resolution
Liying Lu, Wenbo Li, Xin Tao, Jiangbo Lu, and Jiaya Jia · 2021
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Going deeper with image transformers
Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, and Hervé Jégou · 2021
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Mr image super-resolution with squeeze and excitation reasoning attention network
Yulun Zhang, Kai Li, Kunpeng Li, and Yun Fu · 2021
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Score-based diffusion models for accelerated mri
Hyungjin Chung and Jong Chul Ye · 2022
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Superformer: Volumetric transformer architectures for mri super-resolution
Cristhian Forigua, Maria Escobar, and Pablo Arbelaez · 2022
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Super-resolution method for mr images based on multi-resolution cnn
Li Kang, Guojuan Liu, Jianjun Huang, and Jianping Li · 2022
Semi-implicit denoising diffusion models (siddms)
Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Tingbo Hou, et al · 2023
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Adaptive diffusion priors for accelerated mri reconstruction
Alper Güngör, Salman UH Dar, Şaban Öztürk, Yilmaz Korkmaz, Hasan A Bedel, Gokberk Elmas, Muzaffer Ozbey, and Tolga Çukur · 2023
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Accurate multi-contrast mri super-resolution via a dual cross-attention transformer network
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Lan Jiang, Ye Mao, Xiangfeng Wang, Xi Chen, and Chao Li · 2023
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Decomposition-based variational network for multi-contrast mri super-resolution and reconstruction
Pengcheng Lei, Faming Fang, Guixu Zhang, and Tieyong Zeng · 2023
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Transformer-empowered multi-scale contextual matching and aggregation for multi-contrast mri super-resolution
Guangyuan Li, Jun Lv, Yapeng Tian, Qingyu Dou, Cheng-Yan Wang, Chenliang Xu, and Jing Qin · 2022
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Dudocaf: Dual-domain cross-attention fusion with recurrent transformer for fast multi-contrast mr imaging
Jun Lyu, Bin Sui, Chengyan Wang, Yapeng Tian, Qi Dou, and Jing Qin · 2022
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Towards performant and reliable undersampled mr reconstruction via diffusion model sampling
Cheng Peng, Pengfei Guo, S Kevin Zhou, Vishal M Patel, and Rama Chellappa · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2022
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Measurement-conditioned denoising diffusion probabilistic model for under-sampled medical image reconstruction
Yutong Xie and Quanzheng Li · 2022
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Disc-diff: Disentangled conditional diffusion model for multi-contrast mri super-resolution
Ye Mao, Lan Jiang, Xi Chen, and Chao Li · 2023
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A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis
Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Teresa Nolte, Sven Nebelung, et al · 2023
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Unsupervised medical image translation with adversarial diffusion models
Muzaffer Özbey, Onat Dalmaz, Salman UH Dar, Hasan A Bedel, Şaban Özturk, Alper Güngör, and Tolga Çukur · 2023
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Improving the brain image resolution of generalized q-sampling mri revealed by a three-dimensional cnn-based method
Chun-Yuan Shin, Yi-Ping Chao, Li-Wei Kuo, Yi-Peng Eve Chang, and Jun-Cheng Weng · 2023
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Inversesr: 3d brain mri super-resolution using a latent diffusion model
Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M Jorge Cardoso, and Razvan Marinescu · 2023
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Diffir: Efficient diffusion model for image restoration
Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, and Luc Van Gool · 2023
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Sadm: Sequence-aware diffusion model for longitudinal medical image generation
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, and Xiaoxiao Li · 2023
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Srformer: Permuted self-attention for single image super-resolution
Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, and Qibin Hou · 2023
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