Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Pablo Márquez-Neila"'
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
Publikováno v:
Image Processing On Line, Vol 2, Pp 1-7 (2012)
Externí odkaz:
https://doaj.org/article/749e8717723f46f89286c95a7fa5690a
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198205
Unsupervised out-of-distribution (U-OOD) detection has recently attracted much attention due its importance in mission-critical systems and broader applicability over its supervised counterpart. Despite this increase in attention, U-OOD methods suffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5cbb23e0e94bdac7b283329219d8891
Autor:
Prisca R. Dotti, Miguel Fernandez-Tenorio, Radoslav Janicek, Pablo Márquez-Neila, Marcel Wullschleger, Raphael Sznitman, Marcel Egger
Publikováno v:
Biophysical Journal. 122:238a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::107163d55e7c95635eee6c19328c4b1f
https://doi.org/10.1016/j.bpj.2022.11.1394
https://doi.org/10.1016/j.bpj.2022.11.1394
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery
Kurmann, Thomas; Márquez-Neila, Pablo; Allan, Max; Wolf, Sebastian; Sznitman, Raphael (2021). Mask then classify: multi-instance segmentation for surgical instruments. International journal of computer assisted radiology and surgery, 16(7), pp. 1227-1236. Springer 10.1007/s11548-021-02404-2
Kurmann, Thomas; Márquez-Neila, Pablo; Allan, Max; Wolf, Sebastian; Sznitman, Raphael (2021). Mask then classify: multi-instance segmentation for surgical instruments. International journal of computer assisted radiology and surgery, 16(7), pp. 1227-1236. Springer 10.1007/s11548-021-02404-2
Purpose The detection and segmentation of surgical instruments has been a vital step for many applications in minimally invasive surgical robotics. Previously, the problem was tackled from a semantic segmentation perspective, yet these methods fail t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f54deb7b9aba0aa386381df10035229d
Autor:
Thomas Kurmann, Martin S. Zinkernagel, Raphael Sznitman, Pablo Márquez-Neila, Marion R. Munk, Sebastian Wolf
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports
Munk, Marion R.; Kurmann, Thomas; Márquez-Neila, Pablo; Zinkernagel, Martin S.; Wolf, Sebastian; Sznitman, Raphael (2021). Assessment of patient specific information in the wild on fundus photography and optical coherence tomography. Scientific reports, 11(1), p. 8621. Springer Nature 10.1038/s41598-021-86577-5
Scientific Reports
Munk, Marion R.; Kurmann, Thomas; Márquez-Neila, Pablo; Zinkernagel, Martin S.; Wolf, Sebastian; Sznitman, Raphael (2021). Assessment of patient specific information in the wild on fundus photography and optical coherence tomography. Scientific reports, 11(1), p. 8621. Springer Nature 10.1038/s41598-021-86577-5
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 fundus images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fcc5f8999cf5657a1ac741fb3532b16
Autor:
Horesh Ben Shitrit, Félix Renaut, Charles Dubout, Leonardo Citraro, Pablo Márquez-Neila, Andrés Hasfura, Pascal Fua, Vivek Jayaram, Stefano Savarè
Given an image sequence featuring a portion of a sports field filmed by a moving and uncalibrated camera, such as the one of the smartphones, our goal is to compute automatically in real time the focal length and extrinsic camera parameters for each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83da51dd196d5a25b378e0b793b441b7
http://arxiv.org/abs/2003.14109
http://arxiv.org/abs/2003.14109
Autor:
Daniel Kitzmann, Avi Mandell, Pablo Márquez-Neila, Kevin Heng, H. Jens Hoeijmakers, Chloe Fisher, Adam J. Burgasser, Andrea Guzmán-Mesa, Raphael Sznitman, Simon L. Grimm
Publikováno v:
Guzmán-Mesa, Andrea; Kitzmann, Daniel; Fisher, Chloe Elizabeth; Burgasser, Adam J.; Hoeijmakers, H. Jens; Márquez Neila, Pablo; Grimm, Simon L.; Mandell, Avi M.; Sznitman, Raphael; Heng, Kevin (2020). Information Content of JWST NIRSpec Transmission Spectra of Warm Neptunes. The astronomical journal, 160(1), p. 15. American Astronomical Society 10.3847/1538-3881/ab9176
Warm Neptunes offer a rich opportunity for understanding exo-atmospheric chemistry. With the upcoming James Webb Space Telescope (JWST), there is a need to elucidate the balance between investments in telescope time versus scientific yield. We use th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c49d77630ef0d540fd3d10a12a1ef14
Autor:
Siqing Yu, Andreas Ebneter, Marion R. Munk, Thomas Kurmann, Pablo Márquez-Neila, Raphael Sznitman, Martin S. Zinkernagel, Sebastian Wolf
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Kurmann, Thomas; Yu, Siqing; Márquez-Neila, Pablo; Ebneter, Andreas; Zinkernagel, Martin; Munk, Marion R.; Wolf, Sebastian; Sznitman, Raphael (2019). Expert-level Automated Biomarker Identification in Optical Coherence Tomography Scans. Scientific reports, 9(1), p. 13605. Springer Nature 10.1038/s41598-019-49740-7
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Kurmann, Thomas; Yu, Siqing; Márquez-Neila, Pablo; Ebneter, Andreas; Zinkernagel, Martin; Munk, Marion R.; Wolf, Sebastian; Sznitman, Raphael (2019). Expert-level Automated Biomarker Identification in Optical Coherence Tomography Scans. Scientific reports, 9(1), p. 13605. Springer Nature 10.1038/s41598-019-49740-7
In ophthalmology, retinal biological markers, or biomarkers, play a critical role in the management of chronic eye conditions and in the development of new therapeutics. While many imaging technologies used today can visualize these, Optical Coherenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::455c6501ae8eaa5522894c82c64b2689