Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Satya V V N Kothapalli

Showing results (1-10 of 21) with videos related to

Pageof 3
Sort By:
Neuroimage|April 10, 2021
In vivo evaluation of heme and non-heme iron content and neuronal density in human basal gangliaDmitriy A Yablonskiy, Jie Wen, Satya V V N Kothapalli, et al.
The Journal of the Acoustical Society of America|November 5, 2013
Acoustic characterization and contrast imaging of microbubbles encapsulated by polymeric shells coated or filled with magnetic nanoparticlesClaudia Sciallero, Dmitry Grishenkov, Satya V V N Kothapalli, et al.
Ultrasound in Medicine & Biology|September 8, 2014
Assessment of the viscoelastic and oscillation properties of a nano-engineered multimodality contrast agentSatya V V N Kothapalli, Letizia Oddo, Gaio Paradossi, et al.
Ultrasonics|June 5, 2016
Investigation of polymer-shelled microbubble motions in acoustophoresisSatya V V N Kothapalli, Martin Wiklund, Birgitta Janerot-Sjoberg, et al.
Journal of Mathematical Imaging and Vision|August 25, 2025
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* MappingXiaojian Xu, Weijie Gan, Satya V V N Kothapalli, et al.
NMR in Biomedicine|November 28, 2022
Deep learning-based Accelerated and Noise-Suppressed Estimation (DANSE) of quantitative Gradient-Recalled Echo (qGRE) magnetic resonance imaging metrics associated with human brain neuronal structure and hemodynamic propertiesSayan Kahali, Satya V V N Kothapalli, Xiaojian Xu, et al.
Magnetic Resonance in Medicine|August 9, 2020
Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact-free and denoised <math></math> imagesMax Torop, Satya V V N Kothapalli, Yu Sun, et al.
Magnetic Resonance in Medicine|March 8, 2022
Learning-based motion artifact removal networks for quantitative <math></math> mappingXiaojian Xu, Satya V V N Kothapalli, Jiaming Liu, et al.
Journal of Therapeutic Ultrasound|July 11, 2018
A convenient, reliable, and fast acoustic pressure field measurement method for magnetic resonance-guided high-intensity focused ultrasound systems with phased array transducersSatya V V N Kothapalli, Ari Partanen, Lifei Zhu, et al.
Medical Physics|June 20, 2017
Acoustic field characterization of a clinical magnetic resonance-guided high-intensity focused ultrasound system inside the magnet boreSatya V V N Kothapalli, Michael B Altman, Ari Partanen, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Neuroimage|April 10, 2021
In vivo evaluation of heme and non-heme iron content and neuronal density in human basal gangliaDmitriy A Yablonskiy, Jie Wen, Satya V V N Kothapalli, et al.
The Journal of the Acoustical Society of America|November 5, 2013
Acoustic characterization and contrast imaging of microbubbles encapsulated by polymeric shells coated or filled with magnetic nanoparticlesClaudia Sciallero, Dmitry Grishenkov, Satya V V N Kothapalli, et al.
Ultrasound in Medicine & Biology|September 8, 2014
Assessment of the viscoelastic and oscillation properties of a nano-engineered multimodality contrast agentSatya V V N Kothapalli, Letizia Oddo, Gaio Paradossi, et al.
Ultrasonics|June 5, 2016
Investigation of polymer-shelled microbubble motions in acoustophoresisSatya V V N Kothapalli, Martin Wiklund, Birgitta Janerot-Sjoberg, et al.
Journal of Mathematical Imaging and Vision|August 25, 2025
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* MappingXiaojian Xu, Weijie Gan, Satya V V N Kothapalli, et al.
NMR in Biomedicine|November 28, 2022
Deep learning-based Accelerated and Noise-Suppressed Estimation (DANSE) of quantitative Gradient-Recalled Echo (qGRE) magnetic resonance imaging metrics associated with human brain neuronal structure and hemodynamic propertiesSayan Kahali, Satya V V N Kothapalli, Xiaojian Xu, et al.
Magnetic Resonance in Medicine|August 9, 2020
Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact-free and denoised <math></math> imagesMax Torop, Satya V V N Kothapalli, Yu Sun, et al.
Magnetic Resonance in Medicine|March 8, 2022
Learning-based motion artifact removal networks for quantitative <math></math> mappingXiaojian Xu, Satya V V N Kothapalli, Jiaming Liu, et al.
Journal of Therapeutic Ultrasound|July 11, 2018
A convenient, reliable, and fast acoustic pressure field measurement method for magnetic resonance-guided high-intensity focused ultrasound systems with phased array transducersSatya V V N Kothapalli, Ari Partanen, Lifei Zhu, et al.
Medical Physics|June 20, 2017
Acoustic field characterization of a clinical magnetic resonance-guided high-intensity focused ultrasound system inside the magnet boreSatya V V N Kothapalli, Michael B Altman, Ari Partanen, et al.
Pageof 3