Xinyi Gao Email and Phone Number

Conducted research on the application of Artificial Intelligence in Magnetic Resonance Imaging (MRI) to address clinical challenges in various maedical domains, including body, cardiac, musculoskeletal, and neurology. Summarized findings and insights into concise reports, and contributed to ongoing projects.

Analyzed Cardiovascular Magnetic Resonance (CMR) segmentation methods, focusing on backend and deep learning (DL) techniques across six public databases. Evaluated feasibility and compared method performance using tested dice scores.Processed data through innovative solutions for layer functional MRI, addressing constraints due to high resolution. Implemented techniques such as layerification, layer-specific smoothing, model-based vein mitigation of GE-BOLD data, Quality Assessment of artifact-dominated sub-millimeter fMRI, and vascular space occupancy (VASO) data analysis to optimize data processing.

Involved in the World AI exhibition with the project of a human motion capture robot, responsible for accessing the finger pose via Bluetooth using Arduino.Independently conceptualized, designed, and CAD-modeled a speed-reduction gearbox tailored for the artificial elbow mechanism. Executed the entire development process, from ideation to prototyping, culminating in the successful testing of the 3D-printed model.