◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Teresa Rauscher

4 papers hereh-index 29 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.NA2
  • math.AP1
  • math.DS1

identity via Semantic Scholar / OpenAlex

activity
20232025
collaborators

4 papers

math.DS2025

Morse decomposition for semi-dynamical systems with an application to systems of state-dependent delay differential equations

István Balázs, Ábel Garab, Teresa Rauscher

Understanding the structure of the global attractor is crucial in the field of dynamical systems, where Morse decompositions provide a powerful tool by partitioning the attractor i…

math.NA2025

Multiharmonic algorithms for contrast-enhanced ultrasound

Vanja Nikolić, Teresa Rauscher

Harmonic generation plays a crucial role in contrast-enhanced ultrasound, both for imaging and therapeutic applications. However, accurately capturing these nonlinear effects is co…

math.AP2024

Mathematical models for nonlinear ultrasound contrast imaging with microbubbles

Vanja Nikolić, Teresa Rauscher

Ultrasound contrast imaging is a specialized imaging technique that applies microbubble contrast agents to traditional medical sonography, providing real-time visualization of bloo…

math.NA2023

A paraxial approach for the inverse problem of vibro-acoustic imaging in frequency domain

Teresa Rauscher

This paper presents a paraxial modeling approach for vibro-acoustography, a high-frequency ultrasound imaging technique that makes use of the excited low-frequency field to achieve…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.