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cs.LG2025
Towards On-Device Learning and Reconfigurable Hardware Implementation for Encoded Single-Photon Signal Processing
Zhenya Zang, Xingda Li, David Day Uei Li
Deep neural networks (DNNs) enhance the accuracy and efficiency of reconstructing key parameters from time-resolved photon arrival signals recorded by single-photon detectors. Howe…
cs.LG2024
Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis
Xi Chen, Xingda Li
Diffuse correlation spectroscopy (DCS) is an emerging noninvasive technique that measures the tissue blood flow, by using near-infrared coherent point-source illumination to detect…
cs.LG2024
Fast Cerebral Blood Flow Analysis via Extreme Learning Machine
Xi Chen, Zhenya Zang, Xingda Li
We introduce a rapid and precise analytical approach for analyzing cerebral blood flow (CBF) using Diffuse Correlation Spectroscopy (DCS) with the application of the Extreme Learni…