SRM-Net: Joint Sampling and Reconstruction and Mapping Network for Accelerated 3T Brain Multi-parametric MR Imaging.

Multi-parametric magnetic resonance imaging (MRI) can provide complementary quantitative information by generating multi-parametric maps and is becoming a promising imaging technique for advanced medical diagnosis. However, multi-parametric MRI requires longer acquisition time than normal MRI scanning. The existing reconstruction methods for accelerated multi-parametric MRI suffer from suboptimal performance due to stagewise optimization, and inefficient utilization of intra- and inter-contrast information.

MFBP-UNet: A Network for Pear Leaf Disease Segmentation in Natural Agricultural Environments.

The accurate prevention and control of pear tree diseases, especially the precise segmentation of leaf diseases, poses a serious challenge to fruit farmers globally. Given the possibility of disease areas being minute with ambiguous boundaries, accurate segmentation becomes difficult. In this study, we propose a pear leaf disease segmentation model named MFBP-UNet.