most citedSynthetic Skull CT Generation with Generative Adversarial Networks to Train Deep Learning Models for Clinical Transcranial Ultrasound

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

physics.med-ph2024

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…

eess.IV2023★ 2 cited

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…