We stand with Ukraine  

Roser Viñals

Orcid: 0000-0002-0043-8235

According to our database1, Roser Viñals authored at least 17 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Deep Learning-Based Inpainting for Sparse Arrays in Ultrafast Ultrasound Imaging.
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
IEEE Trans. Computational Imaging, 2026

2024
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (1/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, February, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (6/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, February, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (5/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, February, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (4/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, February, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (3/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, February, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, February, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (6/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, January, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (5/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, January, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (4/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, January, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (3/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, January, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, January, 2024

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (1/6).
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Dataset, January, 2024

Sequential CNN-Based Enhancement of Ultrafast Ultrasound Imaging for Sparse Arrays.
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning.
[BibTeX]
[DOI]
Roser Viñals
,
Jean-Philippe Thiran
J. Imaging, 2023

2020
Multi-User Precoder Designs for RGB Visible Light Communication Systems.
[BibTeX]
[DOI]
Roser Viñals
,
Olga Muñoz
,
Adrian Agustin
,
Josep Vidal
Sensors, 2020

2017
Cooperative Linear Precoding for Multi-User MISO Visible Light Communications.
[BibTeX]
[DOI]
Roser Viñals
,
Olga Muñoz
,
Adrian Agustin
,
Josep Vidal
Proceedings of the 2017 IEEE Global Communications Conference, 2017


  Loading...