Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Segonne, Florent"'
Autor:
Ségonne, Florent
We investigate the joint dynamics of spot and implied volatility from an empirical perspective. We focus on the equity market with the SPX Index our underlying of choice. Using only observable quantities, we extract the instantaneous variance curves
Externí odkaz:
http://arxiv.org/abs/1507.00846
We present a novel framework to exert a topology control over a level set evolution. Level set methods offer several advantages over parametric active contours, in particular automated topological changes. In some applications, where some a priori kn
Externí odkaz:
http://hdl.handle.net/1721.1/30550
Publikováno v:
In Computer Vision and Image Understanding 2011 115(4):520-530
Autor:
Desikan, Rahul S., Ségonne, Florent, Fischl, Bruce, Quinn, Brian T., Dickerson, Bradford C., Blacker, Deborah, Buckner, Randy L., Dale, Anders M., Maguire, R. Paul, Hyman, Bradley T., Albert, Marilyn S., Killiany, Ronald J.
Publikováno v:
In Neuroimage 2006 31(3):968-980
Autor:
Faugeras, Olivier *, Adde, Geoffray, Charpiat, Guillaume, Chefd'Hotel, Christophe, Clerc, Maureen, Deneux, Thomas, Deriche, Rachid, Hermosillo, Gerardo, Keriven, Renaud, Kornprobst, Pierre, Kybic, Jan, Lenglet, Christophe, Lopez-Perez, Lucero, Papadopoulo, Théo, Pons, Jean-Philippe, Segonne, Florent, Thirion, Bertrand, Tschumperlé, David, Viéville, Thierry, Wotawa, Nicolas
Publikováno v:
In Neuroimage 2004 23 Supplement 1:S46-S55
Autor:
Fischl, Bruce *, Salat, David H., van der Kouwe, André J.W., Makris, Nikos, Ségonne, Florent, Quinn, Brian T., Dale, Anders M.
Publikováno v:
In Neuroimage 2004 23 Supplement 1:S69-S84
Autor:
Fennema-Notestine, Christine, Ozyurt, I Burak, Clark, Camellia P, Morris, Shaunna, Bischoff-Grethe, Amanda, Bondi, Mark W, Jernigan, Terry L, Fischl, Bruce, Segonne, Florent, Shattuck, David W, Leahy, Richard M, Rex, David E, Toga, Arthur W, Zou, Kelly H, Brown, Gregory G
Publikováno v:
Fennema-Notestine, Christine; Ozyurt, I Burak; Clark, Camellia P; Morris, Shaunna; Bischoff-Grethe, Amanda; Bondi, Mark W; et al.(2006). Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location. Human Brain Mapping, 27(2), 99-113. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/7jf1227x
Performance of automated methods to isolate brain from nonbrain tissues in magnetic resonance (MR) structural images may be influenced by MR signal inhomogeneities, type of MR image set, regional anatomy, and age and diagnosis of subjects studied. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::fd09c84ba3421566408ba3896231dad8
http://www.escholarship.org/uc/item/7jf1227x
http://www.escholarship.org/uc/item/7jf1227x
Publikováno v:
Scale Space & Variational Methods in Computer Vision (9783642022555); 2009, p721-732, 12p
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Akademický článek
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