Keerthi S. Anand
University of North Carolina at Chapel Hill
ORCID: 0000-0002-9877-0147Also affiliated with Vadum (United States)
Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested β papers, authors, and institutions outside the pilot are not represented. Methodology.
Indexed papers
Papers
Driven by 10 papers. Top paper: βMachine Learning Approaches for Quantitative Viscoelastic Response (QVisR) Ultrasoundβ.
Christopher J. Moore, Keerthi S. Anand, Keita A. Yokoyama, Caterina M. Gallippi, Joseph B. Richardson
Jonathan W. Homeister, J. Ashley Ezzel, Gabriela Torres, Caterina M. Gallippi, Keerthi S. Anand
Keerthi S. Anand, Jonathon W. Homeister, Mark A. Farber, Caterina M. Gallippi, Gabriela Torres
Keerthi S. Anand, Jonathon W. Homeister, Mark A. Farber, Caterina M. Gallippi, Gabriela Torres
Gabriela Torres, Caterina M. Gallippi, Keerthi S. Anand
Keerthi S. Anand, Caterina M. Gallippi, Keita A. Yokoyama
Melissa C. Caughey, Keerthi S. Anand, Jonathon W. Homeister, Mark A. Farber, Caterina M. Gallippi +1 more
Melissa C. Caughey, Keerthi S. Anand, Benjamin Huang, Ellie R. Lee, Carlos Zamora +7 more
Comparing Focused-Tracked and Plane Wave-Tracked ARFI Log(VoA) In Silico and in Application to Human Carotid Atherosclerotic Plaque, Ex Vivo
Gabriela Torres, Jonathon W. Homeister, Melissa C. Caughey, Caterina M. Gallippi, Keerthi S. Anand
Comparison of Filtering Methods for Calculating ARFI log(VoA) to Delineate Carotid Plaque Features, In Vivo
Keerthi S. Anand, Jonathon W. Homeister, Mark A. Farber, Caterina M. Gallippi, Shureed Deepro Qazi