Anticausal Learning for Inverse Problems and its Application on Optoacoustic Tomography
Artificial intelligence algorithms commonly exhibit poor performance when deployed on data whose distribution deviates from the one utilized during the training phase. While this vulnerability can be addressed post-training, doing so may necessitate a computationally intensive fine-tuning process an...
Guardado en:
| Autores principales: | Vera, Matías, González, Martín Germán, Rey Vega, Leonardo |
|---|---|
| Formato: | Artículo publishedVersion |
| Lenguaje: | Español |
| Publicado: |
FIUBA
2025
|
| Materias: | |
| Acceso en línea: | https://elektron.fi.uba.ar/elektron/article/view/222 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=222_oai |
| Aporte de: |
Ejemplares similares
-
Simple method to determine the resolution and sensitivity of systems for optoacoustic tomography
por: Gonzalez, Martin German, et al.
Publicado: (2018) -
Study and development of a focused ultrasonic sensor suitable for optoacoustic tomography
por: Insabella, Roberto M., et al.
Publicado: (2020) -
Integrating Line Piezoelectric Sensor for Optoacoustic Tomography: Implementation and Electrical Characterization
por: Abadi, Betina, et al.
Publicado: (2017) -
Analysis and modeling of a system for optoacoustic tomography based on heterodyne optical interferometry
por: Insabella, Roberto M., et al.
Publicado: (2021) -
Optoacoustic Imaging Algorithms: Effect of Piezoelectric Wideband Sensors
por: Massaro Rocca, Patricio, et al.
Publicado: (2017)