Zobrazeno 1 - 10
of 3 341
pro vyhledávání: '"A. Jarraya"'
Knee Osteoarthritis (KOA) is a common musculoskeletal disorder that significantly affects the mobility of older adults. In the medical domain, images containing temporal data are frequently utilized to study temporal dynamics and statistically monito
Externí odkaz:
http://arxiv.org/abs/2408.00891
Biometric recognition is the process of verifying or classifying human characteristics in images or videos. It is a complex task that requires machine learning algorithms, including convolutional neural networks (CNNs) and Siamese networks. Besides,
Externí odkaz:
http://arxiv.org/abs/2307.00578
Knee OsteoArthritis (KOA) is a widespread musculoskeletal disorder that can severely impact the mobility of older individuals. Insufficient medical data presents a significant obstacle for effectively training models due to the high cost associated w
Externí odkaz:
http://arxiv.org/abs/2304.08364
Autor:
Scott Ensel, Lynn Uhrig, Ayberk Ozkirli, Guylaine Hoffner, Jordy Tasserie, Stanislas Dehaene, Dimitri Van De Ville, Béchir Jarraya, Elvira Pirondini
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract The awake mammalian brain is functionally organized in terms of large-scale distributed networks that are constantly interacting. Loss of consciousness might disrupt this temporal organization leaving patients unresponsive. We hypothesize th
Externí odkaz:
https://doaj.org/article/b1fbf760e45644f38f94f5a4e0bc0d7b
Autor:
de Andres, Daniel, Cui, Weiguang, Ruppin, Florian, De Petris, Marco, Yepes, Gustavo, Gianfagna, Giulia, Lahouli, Ichraf, Aversano, Gianmarco, Dupuis, Romain, Jarraya, Mahmoud, Vega-Ferrero, Jesús
Galaxy clusters are useful laboratories to investigate the evolution of the Universe, and accurately measuring their total masses allows us to constrain important cosmological parameters. However, estimating mass from observations that use different
Externí odkaz:
http://arxiv.org/abs/2209.10333
Autor:
Andrea I. Luppi, Lynn Uhrig, Jordy Tasserie, Camilo M. Signorelli, Emmanuel A. Stamatakis, Alain Destexhe, Bechir Jarraya, Rodrigo Cofre
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract A central challenge of neuroscience is to elucidate how brain function supports consciousness. Here, we combine the specificity of focal deep brain stimulation with fMRI coverage of the entire cortex, in awake and anaesthetised non-human pri
Externí odkaz:
https://doaj.org/article/1389c9b0093349e689b8e6c89396f0e6
Autor:
R. Marques, A. Brazo, E. Aspillaga, M. Zimmermann, B. Hereu, G. Saragoni, A. Mercière, R. Crec’Hriou, M. Mercader, M. Verdoit-Jarraya, F. Cadène, Philippe Lenfant
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The brown meagre (Sciaena umbra) is an endangered species, which requires specific protection measures to ensure its conservation. These measures need to be informed by high-quality scientific knowledge on their space use patterns. Here, we
Externí odkaz:
https://doaj.org/article/0aed1a4709804872a2d812eaddf81895
Autor:
Ferragamo, A., de Andres, D., Sbriglio, A., Cui, W., De Petris, M., Yepes, G., Dupuis, R., Jarraya, M., Lahouli, I., De Luca, F., Gianfagna, G., Rasia, E.
We develop a machine learning algorithm to infer the 3D cumulative radial profiles of total and gas mass in galaxy clusters from thermal Sunyaev-Zel'dovich effect maps. We generate around 73,000 mock images along various lines of sight using 2,522 si
Externí odkaz:
http://arxiv.org/abs/2207.12337
Autor:
Mohammady, Meisam, Wang, Han, Wang, Lingyu, Zhang, Mengyuan, Jarraya, Yosr, Majumdar, Suryadipta, Pourzandi, Makan, Debbabi, Mourad, Hong, Yuan
Outsourcing anomaly detection to third-parties can allow data owners to overcome resource constraints (e.g., in lightweight IoT devices), facilitate collaborative analysis (e.g., under distributed or multi-party scenarios), and benefit from lower cos
Externí odkaz:
http://arxiv.org/abs/2206.13046
Publikováno v:
Journal of Neonatal Surgery, Vol 13 (2024)
Externí odkaz:
https://doaj.org/article/d5cf29617c204ff58f71d986eb4bf3b5