3 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.IV2023
Machine-to-Machine Transfer Function in Deep Learning-Based Quantitative Ultrasound
Ufuk Soylu, Michael L. Oelze
A Transfer Function approach was recently demonstrated to mitigate data mismatches at the acquisition level for a single ultrasound scanner in deep learning (DL) based quantitative…
eess.IV2022★ 1 cited
Calibrating Data Mismatches in Deep Learning-Based Quantitative Ultrasound Using Setting Transfer Functions
Ufuk Soylu, Michael L. Oelze
Deep learning (DL) can fail when there are data mismatches between training and testing data. Due to its operator-dependent nature, acquisition-related data mismatches, caused by d…
eess.SP2021★ 3 cited
Circumventing the resolution-time tradeoff in Ultrasound Localization Microscopy by Velocity Filtering
Ufuk Soylu, Yoram Bresler
Ultrasound Localization Microscopy (ULM) offers a cost-effective modality for microvascular imaging by using intravascular contrast agents (microbubbles). However, ULM has a fundam…