Zobrazeno 1 - 10
of 977
pro vyhledávání: '"Rouet P"'
Autor:
Bracco, Marta Irene, Eiberg, Jonas Peter, Lorenzen, Ulver Spangsberg, Avril, Stephane, Rouet, Laurence
OBJECTIVE: Assessing the biomechanical behaviour of the aortic wall in vivo can potentially improve the diagnosis and prognosis of patients with abdominal aortic aneurysms (AAA). With ultrasound, AAA wall stiffness can be estimated as the diameter ch
Externí odkaz:
http://arxiv.org/abs/2312.07980
Probabilistic Diffusion Models (PDMs) have recently emerged as a very promising class of generative models, achieving high performance in natural image generation. However, their performance relative to non-natural images, like radar-based satellite
Externí odkaz:
http://arxiv.org/abs/2308.16847
Methane is one of the most potent greenhouse gases, and its short atmospheric half-life makes it a prime target to rapidly curb global warming. However, current methane emission monitoring techniques primarily rely on approximate emission factors or
Externí odkaz:
http://arxiv.org/abs/2308.11003
Autor:
Bertrand Rouet-Leduc, Claudia Hulbert
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Curbing methane emissions is among the most effective actions that can be taken to slow down global warming. However, monitoring emissions remains challenging, as detection methods have a limited quantification completeness due to trade-offs
Externí odkaz:
https://doaj.org/article/833d3aa7aab94cfd99cd20f75d5064d0
Autor:
La Barbera, Giammarco, Boussaid, Haithem, Maso, Francesco, Sarnacki, Sabine, Rouet, Laurence, Gori, Pietro, Bloch, Isabelle
Anatomical structures such as blood vessels in contrast-enhanced CT (ceCT) images can be challenging to segment due to the variability in contrast medium diffusion. The combined use of ceCT and contrast-free (CT) CT images can improve the segmentatio
Externí odkaz:
http://arxiv.org/abs/2210.01713
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 9, Pp n/a-n/a (2024)
Abstract Machine learning (ML) has been used to study the predictability of laboratory earthquakes. However, the question remains whether or not this approach can be applied in a tectonic setting where one may have to rely on sparse earthquake catalo
Externí odkaz:
https://doaj.org/article/5e5a273ceea94dcc83238d1100f61b3b
Autor:
La Barbera, Giammarco, Gori, Pietro, Boussaid, Haithem, Belucci, Bruno, Delmonte, Alessandro, Goulin, Jeanne, Sarnacki, Sabine, Rouet, Laurence, Bloch, Isabelle
Publikováno v:
ISBI 2021
Due to a high heterogeneity in pose and size and to a limited number of available data, segmentation of pediatric images is challenging for deep learning methods. In this work, we propose a new CNN architecture that is pose and scale invariant thanks
Externí odkaz:
http://arxiv.org/abs/2107.02655
Autor:
Elena C. Reinisch, Charles J. Abolt, Erika M. Swanson, Bertrand Rouet-Leduc, Emily E. Snyder, Kavya Sivaraj, Kurt C. Solander
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 2019 (2024)
Detecting surface deformation associated with low-magnitude (Mw≤5) seismicity using interferometric synthetic aperture radar (InSAR) is challenging due to the subtlety of the signal and the often challenging imaging environments. However, low-magni
Externí odkaz:
https://doaj.org/article/0a878d3a3ff04849b29f9fdc3fa3f9a0
Systematic characterization of slip behaviours on active faults is key to unraveling the physics of tectonic faulting and the interplay between slow and fast earthquakes. Interferometric Synthetic Aperture Radar (InSAR), by enabling measurement of gr
Externí odkaz:
http://arxiv.org/abs/2012.13849
Autor:
Hulbert, Claudia, Jolivet, Romain, Gardonio, Blandine, Johnson, Paul, Ren, Christopher X., Rouet-Leduc, Bertrand
Active faults release tectonic stress imposed by plate motion through a spectrum of slip modes, from slow, aseismic slip, to dynamic, seismic events. Slow earthquakes are often associated with tectonic tremor, non-impulsive signals that can easily be
Externí odkaz:
http://arxiv.org/abs/2012.13847