Zobrazeno 1 - 10
of 2 502
pro vyhledávání: '"P Rougé"'
Segmentation in medical imaging is an essential and often preliminary task in the image processing chain, driving numerous efforts towards the design of robust segmentation algorithms. Supervised learning methods achieve excellent performances when f
Externí odkaz:
http://arxiv.org/abs/2404.01765
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Vulnerable social groups have greater difficulty in accessing care and a lower quality of care. Health systems focused on primary care appear to be more effective, efficient and equitable. However, difficulties in accessing primar
Externí odkaz:
https://doaj.org/article/0997aab9553045e4a508abf0bb19f58e
Vessel segmentation and centerline extraction are two crucial preliminary tasks for many computer-aided diagnosis tools dealing with vascular diseases. Recently, deep-learning based methods have been widely applied to these tasks. However, classic de
Externí odkaz:
http://arxiv.org/abs/2307.11603
Autor:
Finotello, Riccardo, L'Hermite, Daniel, Quéré, Celine, Rouge, Benjamin, Tamaazousti, Mohamed, Sirven, Jean-Baptiste
We consider quantitative analyses of spectral data using laser-induced breakdown spectroscopy. We address the small size of training data available, and the validation of the predictions during inference on unknown data. For the purpose, we build rob
Externí odkaz:
http://arxiv.org/abs/2210.03762
Wavelet-based grid adaptation driven by the "multiresolution analysis" (MRA) of the Haar wavelet (HW) allows to devise an adaptive first-order finite volume (FV1) model (HWFV1) that can readily preserve the modelling fidelity of its reference uniform
Externí odkaz:
http://arxiv.org/abs/2206.05761
Computational fluid dynamics (CFD) simulation provides valuable information on blood flow from the vascular geometry. However, it requires extracting precise models of arteries from low-resolution medical images, which remains challenging. Centerline
Externí odkaz:
http://arxiv.org/abs/2201.08279
Autor:
Angelidis, Emmanouil, Buchholz, Emanuel, O'Neil, Jonathan Patrick Arreguit, Rougè, Alexis, Stewart, Terrence, von Arnim, Axel, Knoll, Alois, Ijspeert, Auke
Central Pattern Generators (CPGs) models have been long used to investigate both the neural mechanisms that underlie animal locomotion as well as a tool for robotic research. In this work we propose a spiking CPG neural network and its implementation
Externí odkaz:
http://arxiv.org/abs/2101.07001
Publikováno v:
Allergies, Vol 3, Iss 3, Pp 134-176 (2023)
Most of the allergenic proteins from fruits identified so far belong to different families of pathogenesis-related (PR) proteins. These PR proteins have been classified in different families of structurally and functionally unrelated proteins, but th
Externí odkaz:
https://doaj.org/article/8a90f8e263e64aa0a9f884b7fb1a5aef
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 4, Pp 1210-1234 (2023)
Wavelet-based grid resolution adaptation driven by the ‘multiresolution analysis’ (MRA) of the Haar wavelet (HW) allows to devise an adaptive first-order finite volume (FV1) model (HWFV1) that can readily preserve the modelling fidelity of its re
Externí odkaz:
https://doaj.org/article/0422019627a146539d3c1944de106529
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 2499-2507 (2023)
Assessing the robustness of a water resource system's performance under climate change involves exploring a wide range of streamflow conditions. This is often achieved through rainfall–runoff models, but these are commonly validated under historica
Externí odkaz:
https://doaj.org/article/4dc96a10e0a94142914e08c233423a2f