YiRang Shin

This study establishes and validates an awake longitudinal fUS-ULM-fULM framework in mice over five months, showing no significant longitudinal drift and no memory impairment or chronic neuroinflammation.

This paper develops a microbubble track-based method to improve functional ultrasound localization microscopy's sensitivity in awake mice without sacrificing spatial resolution.

This paper introduces backscattering fULM (B-fULM) to improve 3D functional ultrasound imaging sensitivity by integrating microbubble amplitude with count-based localization.

This paper introduces a deep learning method using a bi-directional LSTM network to improve microbubble tracking in ULM, validated on simulations, phantoms, and in vivo mouse and rat brains.

This paper demonstrates that high-frequency ultrasound localization microscopy improves microvascular imaging fidelity and efficiency in mouse brains.