Course design for Medical Image Processing of Prof. Kai Wu. Using an UNet combining 2D and 3D modules to segment 3D MRI spine images. This design received a score of 98/100.
PDF/GitHub
Entry for 8th National Biomedical Engineering Innovation Design Competition for College Students, advised by Prof. Kai Wu, Wenhao Li and Chenyang Gao. Calculated brain functional network features, heart rate variability features and heart-brain coupling features to build machine learning models for automatic diagnosis. This work won the second prize in the finals.
PDF/PPT/Certificate
Course design of Exploration and Design of Biomedical Engineering. Build an classification system to assess the subject’s weight-bearing status based on EEG and EMG. The final score of this course design is 92, 4.0/4.0.
PDF/Vedio 
Published in Brain Research Bulletin, 2024
Propose a novel method for multi-dimensional mining of fMRI image information using an integrated model, uses 2D FC matrices based on gray matter maps and 3D T1 images as the input of the neural network, to do the discriminative analysis of schizophrenia patients.
Recommended citation: Guo H, Jian S, Zhou Y, et al. Discriminative analysis of schizophrenia patients using an integrated model combining 3D CNN with 2D CNN: A multimodal MR image and connectomics analysis[J]. Brain Research Bulletin, 2024, 206: 110846. https://doi.org/10.1016/j.brainresbull.2023.110846
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
