Asst Adjunct Professor
M_Psych-Core-Rsch
Tommaso Di Ianni is an Assistant Professor in the Departments of Psychiatry & Behavioral Sciences and Radiology & Biomedical Imaging. He is the Director of the UCSF Basic Ultrasound Research Program and co-Director of the UCSF Focused Ultrasound in Neuroscience Program. His lab develops ultrasound-based innovations for image-guided treatment of neuropsychiatric disorders.
Check our lab website for further information: https://diiannilab.org/.
Publications
Ketamine-induced static and dynamic functional connectivity changes are modulated by opioid receptors and biological sex in rats.
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Sex dependence of opioid-mediated responses to subanesthetic ketamine in rats.
Nature communications
Mu Opioid Receptor Activation Mediates (S)-ketamine Reinforcement in Rats: Implications for Abuse Liability.
Biological psychiatry
Deep-fUS: A Deep Learning Platform for Functional Ultrasound Imaging of the Brain Using Sparse Data.
IEEE transactions on medical imaging
Focused Ultrasound for Noninvasive, Focal Pharmacologic Neurointervention.
Frontiers in neuroscience
Ultrasound/microbubble-mediated targeted delivery of anticancer microRNA-loaded nanoparticles to deep tissues in pigs.
Journal of controlled release : official journal of the Controlled Release Society
Portable Vector Flow Imaging Compared With Spectral Doppler Ultrasonography.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
A Vector Flow Imaging Method for Portable Ultrasound Using Synthetic Aperture Sequential Beamforming.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
System-Level Design of an Integrated Receiver Front End for a Wireless Ultrasound Probe.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Compressive sensing of full wave field data for structural health monitoring applications.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Model-based compressive sensing for damage localization in Lamb wave inspection.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control