This study evaluates linear models that predict functional brain connectivity from structural connectivity, using data from diffusion MRI and resting-state fMRI. By incorporating higher-order indirect structural pathways and applying LASSO regularization, the models achieve improved predictive performance, demonstrating a stronger link between brain structure and function.
Mar, 2019
This machine learning study develops convolutional neural networks (CNNs) to classify fetal ultrasound images into anatomical regions, achieving a high testing accuracy of 87.81% through data augmentation and hyperparameter optimization.
Feb, 2019
This project proposes a novel fixation system for complex femoral fractures in osteoporotic patients, combining an inflatable intramedullary nail and an expanding, cementing lag screw—both made from bioresorbable PLA/phosphate glass composite.
Feb, 2018