Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Pablo Márquez"'
Autor:
Javier Gamazo Tejero, Pablo Márquez Neila, Thomas Kurmann, Mathias Gallardo, Martin Zinkernagel, Sebastian Wolf, Raphael Sznitman
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Recent developments in deep learning have shown success in accurately predicting the location of biological markers in Optical Coherence Tomography (OCT) volumes of patients with Age-Related Macular Degeneration (AMD) and Diabetic Retinopath
Externí odkaz:
https://doaj.org/article/28f47c05f55e4c85bb2b3afd071f9e08
Autor:
Alejandro Sambruno, Álvaro Gómez-Parra, Pablo Márquez, Iñaki Tellaeche-Herrera, Moisés Batista
Publikováno v:
Fibers, Vol 12, Iss 10, p 78 (2024)
The use of carbon fiber reinforced polymers (CFRP) is crucial in industries, such as aerospace, automotive, and marine, due to their excellent strength-to-weight ratio and corrosion resistance. However, machining CFRP is challenging due to its abrasi
Externí odkaz:
https://doaj.org/article/3623cbf43c0b43278edf6b092e8ca839
Autor:
Paulo Sampaio, Maria Lopez-Antuña, Federico Storni, Jonatan Wicht, Greta Sökeland, Martin Wartenberg, Pablo Márquez-Neila, Daniel Candinas, Brice-Olivier Demory, Aurel Perren, Raphael Sznitman
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Polarimetry is an optical characterization technique capable of analyzing the polarization state of light reflected by materials and biological samples. In this study, we investigate the potential of Müller matrix polarimetry (MMP) to analy
Externí odkaz:
https://doaj.org/article/eaed0988715140fa9c1d1e35bf32b0a2
Autor:
Marion R. Munk, Thomas Kurmann, Pablo Márquez-Neila, Martin S. Zinkernagel, Sebastian Wolf, Raphael Sznitman
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract In this paper we analyse the performance of machine learning methods in predicting patient information such as age or sex solely from retinal imaging modalities in a heterogeneous clinical population. Our dataset consists of N = 135,667 fund
Externí odkaz:
https://doaj.org/article/6b98e74c81494d849646e7f54ff22d73
Autor:
Pablo Márquez
Publikováno v:
Belphégor, Vol 18, Iss 2 (2020)
El artículo propone una aproximación a Taxi Key, una serie de ficción radiofónica que contó con una considerable audiencia en la década de los cincuenta. Tras presentar la figura de su creador, se analiza el papel de la radio en el contexto soc
Externí odkaz:
https://doaj.org/article/f8b69bca15be41cc97340b5ff83c0563
Publikováno v:
Thēmis, Iss 78 (2020)
El avance tecnológico de los últimos años ha producido importantes cambios en las dinámicas competitivas de la industria de contenidos audiovisuales. La digitalización y la mayor facilidad en el acceso a Internet ha incrementado la oferta y dema
Externí odkaz:
https://doaj.org/article/f9a15d55aaf64aad8ecf97a2c9a62fe9
Autor:
Ghamsarian, Negin, Tejero, Javier Gamazo, Neila, Pablo Márquez, Wolf, Sebastian, Zinkernagel, Martin, Schoeffmann, Klaus, Sznitman, Raphael
Models capable of leveraging unlabelled data are crucial in overcoming large distribution gaps between the acquired datasets across different imaging devices and configurations. In this regard, self-training techniques based on pseudo-labeling have b
Externí odkaz:
http://arxiv.org/abs/2307.16660
Autor:
Tejero, Javier Gamazo, Zinkernagel, Martin S., Wolf, Sebastian, Sznitman, Raphael, Neila, Pablo Márquez
Annotating new datasets for machine learning tasks is tedious, time-consuming, and costly. For segmentation applications, the burden is particularly high as manual delineations of relevant image content are often extremely expensive or can only be do
Externí odkaz:
http://arxiv.org/abs/2303.11678
Publikováno v:
Image Processing On Line, Vol 2, Pp 1-7 (2012)
Externí odkaz:
https://doaj.org/article/749e8717723f46f89286c95a7fa5690a
Autor:
Pablo Márquez Neila
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 14, Iss 3 (2015)
Image segmentation is an important field in computer vision and one of its most active research areas, with applications in image understanding, object detection, face recognition, video surveillance or medical image processing. Image segmentation i
Externí odkaz:
https://doaj.org/article/1df7af0b1881474f9a21c59ed7822141