Jasmine Vu

According to our database, Jasmine Vu authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Prediction of MRI-Induced Power Absorption in Patients with DBS Leads.

Yalcin Tur, Jasmine Vu, Selam Waktola, Alpay Medetalibeyoglu, Laleh Golestanirad, Ulas Bagci

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023

Rapid prediction of MRI-induced RF heating of active implantable medical devices using machine learning.

Jasmine Vu, Pia Sanpitak, Bhumi Bhusal, Fuchang Jiang, Laleh Golestanirad

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Optimizing the trajectory of deep brain stimulation leads reduces RF heating during MRI at 3 T: Characteristics and clinical translation.

Jasmine Vu, Bhumi Bhusal, Joshua M. Rosenow, Julie Pilitsis, Laleh Golestanirad

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Low-field MRI's Spark on Implant Safety: A Closer Look at Radiofrequency Heating.

Pia Sanpitak, Bhumi Bhusal, Jasmine Vu, Laleh Golestanirad

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Implants talk to each-other: RF heating changes when two DBS leads are present simultaneously during MRI.

Bhumi Bhusal, Fuchang Jiang, Jasmine Vu, Pia Sanpitak, Laleh Golestanirad

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021

Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach^*.

Can Zheng, Xinlu Chen, Bach Thanh Nguyen, Pia Sanpitak, Jasmine Vu, Ulas Bagci, Laleh Golestanirad

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Modifying surgical implantation of deep brain stimulation leads significantly reduces RF-induced heating during 3 T MRI.

Jasmine Vu, Bhumi Bhusal, Joshua M. Rosenow, Julie Pilitsis, Laleh Golestanirad

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

On the accuracy of Tier 4 simulations to predict RF heating of wire implants during magnetic resonance imaging at 1.5 T.

Pia Sanpitak, Bhumi Bhusal, Bach Thanh Nguyen, Jasmine Vu, Kelvin Chow, Xiaoming Bi, Laleh Golestanirad

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Evaluating Accuracy of Numerical Simulations in Predicting Heating of Wire Implants During MRI at 1.5 T.

Jasmine Vu, Bhumi Bhusal, Nguyen Tran Bach, Laleh Golestanirad

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

RF heating of deep brain stimulation implants during MRI in 1.2 T vertical scanners versus 1.5 T horizontal systems: A simulation study with realistic lead configurations.

Ehsan Kazemivalipour, Jasmine Vu, Stella Lin, Bhumi Bhusal, Bach Thanh Nguyen, John E. Kirsch, Behzad Elahi, Joshua M. Rosenow, Ergin Atalar, Laleh Golestanirad

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Device Configuration and Patient's Body Composition Significantly Affect RF Heating of Deep Brain Stimulation Implants During MRI: An Experimental Study at 1.5T and 3T.

Bhumi Bhusal, Nguyen Tran Bach, Jasmine Vu, Behzad Elahi, Joshua M. Rosenow, Mark J. Nolt, Julie Pilitsis, Marisa DiMarzio, Laleh Golestanirad

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020