… image reconstruction focus on both MRI reconstruction and … -supervised models, and
self-supervised models with regard … 重建(self-consistent parallel imaging reconstruction, SPIRiT)等…

… Unsupervised models are also known as self-supervised … combines several learning models
in parallel, outperformed all … used to estimate PET patterns for subjects with only MRI data…

… deep learning based quantitative MRI reconstruction methods. … multi-slice T2 mapping
framework based on overlapping-echo … mapping using model-guided self-supervised deep learn⁃ …

… diagnosis and 3D image reconstruction. However, medical image … network (IBR-FSS-Net)
is proposed.Based on the few-shot segmentation framework of dual-branch prototype learning, …

… reconstructed images using joint training of multi-domain information and … framework for
accelerating multi-echo MRI reconstruction with cascaded generative adversarial networks. …

… 该参考文献提出的方法的创新之处在于,设计了一种无标签自监督(self-supervised)的网络迁移
学习… -echo MRI reconstruction via deep learning [C]// ISMRM Workshop on Machine Learning …

… cortex emerges from training parallel pathways with self-supervised predictive learning.
Advances in … Deep neural networks: a new framework for modeling biological vision and brain …

… of deep learning, highlight the popular CNNs and summarize the frameworks of image …
T1W,T2W,DCE,fMRI,DWI,磁共振血管成 像,磁共振波谱成像等多种MRI 影像增强技术使 MRI 比…

… The core idea of the proposed framework is to utilize the … combined with contrastive self-supervised
learning. In this way, … 临床诊断中,CT 图像和MRI 图像常被用于脑 部相关疾病的诊断.…

… MRI 能够更好地可视化肿瘤和正常软组织器官, 但不能提供骨 … 自监督学习(self-supervised
learning)[208]是另外一条技术路线. 这类模型… CAMEL: A weakly supervised learning framework for …