Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Josué Page Vizcaíno"'
Autor:
Tobias Lasser, Paolo Favaro, Burcu Guner-Ataman, Panagiotis Symvoulidis, Josué Page Vizcaíno, Edward S. Boyden, Zeguan Wang
Publikováno v:
ICCP
Light Field Microscopy (LFM) is a scan-less 3D imaging technique capable of capturing fast biological processes, such as neural activity in zebrafish. However, current methods to recover a 3D volume from the raw data require long reconstruction times
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd6b33eb7c2c71fefe67d25553e00e2a
https://doi.org/10.1109/iccp51581.2021.9466256
https://doi.org/10.1109/iccp51581.2021.9466256
We present a novel deep learning approach to reconstruct confocal microscopy stacks from single light field images. To perform the reconstruction, we introduce LFMNet, a fully convolutional neural network architecture inspired by the U-Net design. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37421473d305402add1abbb68558c5be
Autor:
Abouzar Eslami, Nassir Navab, Federico Tombari, David Joseph Tan, Josué Page Vizcaíno, Nicola Rieke
Publikováno v:
Informatik aktuell ISBN: 9783662543443
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Instrument tracking is a key step for various computer-aidedinterventions in retinal microsurgery. One of the bottlenecks of state-of-the-art template based algorithms is the (re-)initialization during the surgery. We propose an algorithm for robustl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::510bf78989ebcc3113c97e1a8e5d93b5
https://doi.org/10.1007/978-3-662-54345-0_78
https://doi.org/10.1007/978-3-662-54345-0_78
Autor:
David Joseph Tan, Chiara Amat di San Filippo, Josué Page Vizcaíno, Abouzar Eslami, Federico Tombari, Nicola Rieke, Nassir Navab
Publikováno v:
Informatik aktuell ISBN: 9783662543443
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
In [1], we propose a novel method for instrument tracking in Retinal Microsurgery (RM) which is apt to withstand the challenges of in-vivo RM visual sequences. The proposed approach is a robust closed-loop framework to track and localize the instrume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df7065a8ded1af7139d5e230826321c4
https://doi.org/10.1007/978-3-662-54345-0_75
https://doi.org/10.1007/978-3-662-54345-0_75
Autor:
Abouzar Eslami, Nassir Navab, Josué Page Vizcaíno, Nicola Rieke, Christian Rupprecht, Federico Tombari, Iro Laina
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319661841
MICCAI (2)
MICCAI (2)
Real-time instrument tracking is a crucial requirement for various computer-assisted interventions. To overcome problems such as specular reflection and motion blur, we propose a novel method that takes advantage of the interdependency between locali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cbce42defbb0f6fa15100d854369c5c
https://doi.org/10.1007/978-3-319-66185-8_75
https://doi.org/10.1007/978-3-319-66185-8_75
Autor:
Chiara Amat di San Filippo, David Joseph Tan, Josué Page Vizcaíno, Abouzar Eslami, Nicola Rieke, Nassir Navab, Federico Tombari
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 ISBN: 9783319467191
MICCAI (1)
MICCAI (1)
We propose a novel method for instrument tracking in Retinal Microsurgery (RM) which is apt to withstand the challenges of RM visual sequences in terms of varying illumination conditions and blur. At the same time, the method is general enough to dea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eee44efb3aa99c8c6f1e633fe7c182a8
https://doi.org/10.1007/978-3-319-46720-7_49
https://doi.org/10.1007/978-3-319-46720-7_49