Thus, there is a growing demand for advanced and automated approaches to streamline the classification process. Objective: This study aimed to develop and validate an intelligent system for ...
Abstract: Due to significant nonlinear radiometric differences (NRD) and severe geometric distortions (e.g., translation, scale, and rotation) among multimodal images (e.g., optical, infrared, SAR), ...
Abstract: This study developed a dynamic weighted stacking ensemble learning model based on functional near-infrared spectroscopy (fNIRS) signals for the objective assessment of tinnitus severity. A ...
Accurate registration of regions of interest (ROIs) from standard atlases to participants’ native spaces is a critical step in fMRI studies, as it directly affects the reliability of sampled BOLD ...