Publications by authors named "Chunmeng Tang"
Article Synopsis
- An SVM-based method was developed to establish pseudo-reference regions in brain PET scans, aimed at minimizing variability across scans and subjects.
- The method utilized PET datasets from various groups to train a classifier and identify key brain regions for classification, which were tested in three different cohorts using distinct PET tracers.
- Results showed that the cerebellum, brainstem, subcortical white matter, and temporal cortex consistently emerged as pseudo-reference regions, indicating the approach's reliability even with fewer subjects and across different tracers.
Background: Human brown adipose tissue (BAT), mostly located in the cervical/supraclavicular region, is a promising target in obesity treatment. Magnetic resonance imaging (MRI) allows for mapping the fat content quantitatively. However, due to the complex heterogeneous distribution of BAT, it has been difficult to establish a standardized segmentation routine based on magnetic resonance (MR) images.
View Article and Find Full Text PDFProteasome is a large proteolytic complex that consists of a 20S core particle (20SP) and 19S regulatory particle (19SP) in eukaryotes. The proteasome degrades most cellular proteins, thereby controlling many key processes, including gene expression and protein quality control. Proteasome dysfunction in plants leads to abnormal development and reduced adaptability to environmental stresses.
View Article and Find Full Text PDFPurpose: This work attempts to decode the discriminative information in dopamine transporter (DAT) imaging using deep learning for the differential diagnosis of parkinsonism.
Methods: This study involved 1017 subjects who underwent DAT PET imaging ([C]CFT) including 43 healthy subjects and 974 parkinsonian patients with idiopathic Parkinson's disease (IPD), multiple system atrophy (MSA) or progressive supranuclear palsy (PSP). We developed a 3D deep convolutional neural network to learn distinguishable DAT features for the differential diagnosis of parkinsonism.