Ms. Ines Elisa Ulrich Profile

Ines Elisa Ulrich

at ETH Zurich

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Author

Publications (5)

Proceedings Article | 1 April 2024 Presentation + Paper

Waveform inversion with calibrated source-time functions for improving in-vivo ultrasound computed tomography

Ines Ulrich, Christian Boehm, Patrick Marty, Naiara Korta Martiartu, Berkan Lafci, Xose Luis Dean-Ben, Daniel Razansky, Andreas Fichtner

Proceedings Volume 12932, 129320H (2024) https://doi.org/10.1117/12.3006768

KEYWORDS: Wavelets, Data modeling, Calibration, Transducers, Ultrasonography, Tunable filters, Receivers, In vivo imaging, Tissues, Deconvolution

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Proceedings Article | 4 April 2022 Presentation + Paper

Using optimal transport to mitigate cycle-skipping in ultrasound computed tomography

Christian Boehm, Lion Krischer, Ines Ulrich, Patrick Marty, Michael Afanasiev, Andreas Fichtner

Proceedings Volume 12038, 1203809 (2022) https://doi.org/10.1117/12.2605894

KEYWORDS: Data modeling, Ultrasonography, Computed tomography, Clouds, Transducers, Wavelets, Tissues, Smoothing, Computer simulations, Breast

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Proceedings Article | 4 April 2022 Presentation + Paper

Analyzing resolution and model uncertainties for ultrasound computed tomography using Hessian information

Ines E. Ulrich, Christian Boehm, Andrea Zunino, Andreas Fichtner

Proceedings Volume 12038, 120380A (2022) https://doi.org/10.1117/12.2608546

KEYWORDS: Data modeling, Tomography, Ultrasonography, Computed tomography, Fluctuations and noise, Inverse problems, Receivers, Image resolution, Tissues, Spatial resolution

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Proceedings Article | 15 February 2021 Presentation + Paper

Sparsifying regularizations for stochastic sample average minimization in ultrasound computed tomography

Ines E. Ulrich, Andrea Zunino, Christian Boehm, Andreas Fichtner

Proceedings Volume 11602, 116020Y (2021) https://doi.org/10.1117/12.2580926

KEYWORDS: Ultrasonography, Stochastic processes, Computed tomography, Data modeling, Tissues, Mammography, Machine learning, Inverse problems, Computational imaging, Breast cancer

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Proceedings Article | 16 March 2020 Paper

Random field interferometry for medical ultrasound

Ines Elisa Ulrich, Christian Boehm, Andreas Fichtner

Proceedings Volume 11319, 1131912 (2020) https://doi.org/10.1117/12.2559852

KEYWORDS: Receivers, Signal attenuation, Interferometry, Transducers, Tomography, Breast, Ultrasonography, Tissues, Data modeling, Medical imaging

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