Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mathias Gallardo"'
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:
Oussama Habra, Mathias Gallardo, Till Meyer zu Westram, Sandro De Zanet, Damian Jaggi, Martin Zinkernagel, Sebastian Wolf, Raphael Sznitman
Publikováno v:
Ophthalmologica. 245:516-527
Introduction: In this retrospective cohort study, we wanted to evaluate the performance and analyze the insights of an artificial intelligence (AI) algorithm in detecting retinal fluid in spectral-domain OCT volume scans from a large cohort of patien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe81dc9ba3cdb10eba2f08e2b9c873a7
https://doi.org/10.1159/000527345
https://doi.org/10.1159/000527345
Autor:
Mathias Gallardo, Sebastian Wolf, Martin S. Zinkernagel, Agata Mosinska, Thomas Kurmann, Raphael Sznitman, Sandro De Zanet, Marion R. Munk, Isıl Kutlutürk Karagoz
Publikováno v:
Ophthalmology Retina. 5:604-624
To assess the potential of machine learning to predict low and high treatment demand in real life in patients with neovascular age-related macular degeneration (nAMD), retinal vein occlusion (RVO), and diabetic macular edema (DME) treated according t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad9b25e125132fb992f7a37d7131218d
https://doi.org/10.1016/j.oret.2021.05.002
https://doi.org/10.1016/j.oret.2021.05.002
Autor:
Oussama, Habra, Mathias, Gallardo, Till, Meyer Zu Westram, Sandro, De Zanet, Damian, Jaggi, Martin, Zinkernagel, Sebastian, Wolf, Raphael, Sznitman
Publikováno v:
Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde.
In this retrospective cohort study, we wanted to evaluate the performance and analyze the insights of an artificial intelligence (AI) algorithm in detecting retinal fluid in spectral-domain OCT volume scans from a large cohort of patients with neovas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5932e8a99dcca8c0b96d6f969c09a805
https://pubmed.ncbi.nlm.nih.gov/36215958
https://pubmed.ncbi.nlm.nih.gov/36215958
Publikováno v:
International Journal of Computer Vision. 128:121-165
Shape-from-Template (SfT) is the problem of using a shape template to infer the shape of a deformable object observed in an image. The usual case of SfT is ‘Surface’ SfT, where the shape is a 2D surface embedded in 3D, and the image is a 2D persp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a20bf9684caa8cde79856448864f07b6
https://doi.org/10.1007/s11263-019-01214-z
https://doi.org/10.1007/s11263-019-01214-z
Autor:
Martin S. Zinkernagel, Raphael Sznitman, Mathias Gallardo, Sebastian Wolf, Michel Hayoz, Andrés Marafioti, Pablo Marquez Neila
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
MICCAI (4)
Cataract surgery is a sight saving surgery that is performed over 10 million times each year around the world. With such a large demand, the ability to organize surgical wards and operating rooms efficiently is critical to delivery this therapy in ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0ddf7fcd773e7f656c5052687f0e631
Publikováno v:
Advances in Photometric 3D-Reconstruction ISBN: 9783030518653
We show how photometric and motion-based approaches can be combined to reconstruct the 3D shape of deformable objects from monocular images. We start by motivating the problem using real-world applications. We give a comprehensive overview of the sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfc1e58cd6d995d14ed1ab0d1debc71a
https://doi.org/10.1007/978-3-030-51866-0_4
https://doi.org/10.1007/978-3-030-51866-0_4
Publikováno v:
ICCV
Significant progress has been recently made in Non-Rigid Structure-from-Motion (NRSfM). However, existing methods do not handle poorly-textured surfaces that deform non-smoothly. These are nonetheless common occurrence in real-world applications. An
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13e83ae4962641b2c17eb4bf1fe25e9d
https://doi.org/10.1109/iccv.2017.419
https://doi.org/10.1109/iccv.2017.419
Publikováno v:
BMVC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14641014375072d471a338de13ed369a
https://doi.org/10.5244/c.30.38
https://doi.org/10.5244/c.30.38
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464923
ECCV (4)
ECCV (4)
Shape-from-Template (SfT) aims to reconstruct a deformable object from a single image using a texture-mapped 3D model of the object in a reference position. Most existing SfT methods require well-textured surfaces that deform smoothly, which is a sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ac04099ebc07b75c58e174e53486688
https://doi.org/10.1007/978-3-319-46493-0_7
https://doi.org/10.1007/978-3-319-46493-0_7