14 citations · 25 across the 4 of their papers we have counts for
5 papers
A deep-learning model for one-shot transcranial ultrasound simulation and phase aberration correction
Kasra Naftchi-Ardebili, Karanpartap Singh, Gerald R. Popelka +1
Transcranial ultrasound (TUS) has emerged as a promising tool in clinical and research settings due to its potential to modulate neuronal activity, open the blood-brain barrier, fa…
Biophysical effects and neuromodulatory dose of transcranial ultrasonic stimulation
Tulika Nandi, Benjamin R. Kop, Kasra Naftchi-Ardebili +3
Transcranial ultrasonic stimulation (TUS) has the potential to usher in a new era for human neuroscience by allowing spatially precise and high-resolution non-invasive targeting of…
Focal Volume, Acoustic Radiation Force, and Strain in Two-Transducer Regimes
Kasra Naftchi-Ardebili, Mike D. Menz, Hossein Salahshoor +3
Transcranial focused ultrasound stimulation (TUS) holds promise for non-invasive neural modulation in treating neurological disorders. Most clinically relevant targets are deep wit…
Synthetic Skull CT Generation with Generative Adversarial Networks to Train Deep Learning Models for Clinical Transcranial Ultrasound
Kasra Naftchi-Ardebili, Karanpartap Singh, Reza Pourabolghasem +3
Deep learning offers potential for various healthcare applications, yet requires extensive datasets of curated medical images where data privacy, cost, and distribution mismatch ac…
Rank Restriction for the Variational Calculation of Two-electron Reduced Density Matrices of Many-electron Atoms and Molecules
Kasra Naftchi-Ardebili, Nathania W. Hau, David A. Mazziotti
Variational minimization of the ground-state energy as a function of the two-electron reduced density matrix (2-RDM), constrained by necessary -representability conditions, prov…