Zobrazeno 1 - 10
of 3 439
pro vyhledávání: '"Galeotti P."'
Autor:
Galeotti, Mattia
In their celebrated paper of 1976, Rothschild and Stein prove a lifting procedure that locally reduces to a free nilpotent Lie algebra any family of smooth vector fields $X_1,\dots,X_q$, over a manifold $M$. Then, a large class of differential operat
Externí odkaz:
http://arxiv.org/abs/2403.19619
Autor:
Gare, Gautam Rajendrakumar, Fox, Tom, Chansangavej, Beam, Krishnan, Amita, Rodriguez, Ricardo Luis, deBoisblanc, Bennett P, Ramanan, Deva Kannan, Galeotti, John Michael
Accurate and interpretable diagnostic models are crucial in the safety-critical field of medicine. We investigate the interpretability of our proposed biomarker-based lung ultrasound diagnostic pipeline to enhance clinicians' diagnostic capabilities.
Externí odkaz:
http://arxiv.org/abs/2402.12394
Autor:
Collaboration, JEM-EUSO, Abdellaoui, G., Abe, S., Adams. Jr., J. H., Allard, D., Alonso, G., Anchordoqui, L., Anzalone, A., Arnone, E., Asano, K., Attallah, R., Attoui, H., Pernas, M. Ave, Bachmann, R., Bacholle, S., Bagheri, M., Bakiri, M., Baláz, J., Barghini, D., Bartocci, S., Battisti, M., Bayer, J., Beldjilali, B., Belenguer, T., Belkhalfa, N., Bellotti, R., Belov, A. A., Benmessai, K., Bertaina, M., Bertone, P. F., Biermann, P. L., Bisconti, F., Blaksley, C., Blanc, N., Blin-Bondil, S., Bobik, P., Bogomilov, M., Bolmgren, K., Bozzo, E., Briz, S., Bruno, A., Caballero, K. S., Cafagna, F., Cambié, G., Campana, D., Capdevielle, J. N., Capel, F., Caramete, A., Caramete, L., Caruso, R., Casolino, M., Cassardo, C., Castellina, A., Catalano, O., Cellino, A., Černý, K., Chikawa, M., Chiritoi, G., Christl, M. J., Colalillo, R., Conti, L., Cotto, G., Crawford, H. J., Cremonini, R., Creusot, A., Cummings, A., Gónzalez, A. de Castro, de la Taille, C., del Peral, L., Desiato, J., Damian, A. Diaz, Diesing, R., Dinaucourt, P., Djakonow, A., Djemil, T., Ebersoldt, A., Ebisuzaki, T., Eser, J., Fenu, F., Fernández-González, S., Ferrarese, S., Filippatos, G., Finch, W., Fornaro, C., Fouka, M., Franceschi, A., Franchini, S., Fuglesang, C., Fujii, T., Fukushima, M., Galeotti, P., García-Ortega, E., Gardiol, D., Garipov, G. K., Gascón, E., Gazda, E., Genci, J., Golzio, A., Gorodetzky, P., Gregg, R., Green, A., Guarino, F., Guépin, C., Guzmán, A., Hachisu, Y., Haungs, A., Heigbes, T., Carretero, J. Hernández, Hulett, L., Ikeda, D., Inoue, N., Inoue, S., Isgrò, F., Itow, Y., Jammer, T., Jeong, S., Jochum, J., Joven, E., Judd, E. G., Jung, A., Kajino, F., Kajino, T., Kalli, S., Kaneko, I., Kasztelan, M., Katahira, K., Kawai, K., Kawasaki, Y., Kedadra, A., Khales, H., Khrenov, B. A., Kim, Jeong-Sook, Kim, Soon-Wook, Kleifges, M., Klimov, P. A., Kreykenbohm, I., Krizmanic, J. F., Królik, K., Kungel, V., Kurihara, Y., Kusenko, A., Kuznetsov, E., Lahmar, H., Lakhdari, F., Licandro, J., Campano, L. López, Martínez, F. López, Mackovjak, S., Mahdi, M., Mandát, D., Manfrin, M., Marcelli, L., Marcos, J. L., Marszał, W., Martín, Y., Martinez, O., Mase, K., Mastafa, M., Matthews, J. N., Mebarki, N., Medina-Tanco, G., Menshikov, A., Merino, A., Mese, M., Meseguer, J., Meyer, S. S., Mimouni, J., Miyamoto, H., Mizumoto, Y., Monaco, A., Ríos, J. A. Morales de los, Nachtman, J. M., Nagataki, S., Naitamor, S., Napolitano, T., Neronov, A., Nomoto, K., Nonaka, T., Ogawa, T., Ogio, S., Ohmori, H., Olinto, A. V., Onel, Y., Osteria, G., Otte, A. N., Pagliaro, A., Painter, W., Panasyuk, M. I., Panico, B., Parizot, E., Park, I. H., Pastircak, B., Paul, T., Pech, M., Pérez-Grande, I., Perfetto, F., Peter, T., Picozza, P., Pindado, S., Piotrowski, L. W., Piraino, S., Plebaniak, Z., Pollini, A., Popescu, E. M., Prevete, R., Prévôt, G., Prieto, H., Przybylak, M., Puehlhofer, G., Putis, M., Reardon, P., Reno, M. H., Reyes, M., Ricci, M., Frías, M. D. Rodríguez, Matamala, O. F. Romero, Ronga, F., Sabau, M. D., Saccá, G., Sagawa, H., Sahnoune, Z., Saito, A., Sakaki, N., Salazar, H., Sánchez, J. L., Balanzar, J. C. Sanchez, Santangelo, A., Sanz-Andrés, A., Saprykin, O. A., Sarazin, F., Sato, M., Scagliola, A., Schanz, T., Schieler, H., Schovánek, P., Scotti, V., Serra, M., Sharakin, S. A., Shimizu, H. M., Shinozaki, K., Soriano, J. F., Sotgiu, A., Stan, I., Strharský, I., Sugiyama, N., Supanitsky, D., Suzuki, M., Szabelski, J., Tajima, N., Tajima, T., Takahashi, Y., Takeda, M., Takizawa, Y., Talai, M. C., Tameda, Y., Tenzer, C., Thomas, S. B., Tibolla, O., Tkachev, L. G., Tomida, T., Tone, N., Toscano, S., Traïche, M., Tsunesada, Y., Tsuno, K., Turriziani, S., Uchihori, Y., Valdés-Galicia, J. F., Vallania, P., Valore, L., Vankova-Kirilova, G., Venters, T. M., Vigorito, C., Villaseñor, L., Vlcek, B., von Ballmoos, P., Vrabel, M., Wada, S., Watanabe, J., Watts. Jr., J., Muñoz, R. Weigand, Weindl, A., Wiencke, L., Wille, M., Wilms, J., Yamamoto, T., Yang, J., Yano, H., Yashin, I. V., Yonetoku, D., Yoshida, S., Young, R., Zgura, I. S., Zotov, M. Yu., Marchi, A. Zuccaro
Publikováno v:
Astropart Phys 154 (2024) 102891
The Extreme Universe Space Observatory on a Super Pressure Balloon 1 (EUSO-SPB1) was launched in 2017 April from Wanaka, New Zealand. The plan of this mission of opportunity on a NASA super pressure balloon test flight was to circle the southern hemi
Externí odkaz:
http://arxiv.org/abs/2401.06525
Autor:
Goel, Raghavv, Morales, Cecilia, Singh, Manpreet, Dubrawski, Artur, Galeotti, John, Choset, Howie
Segmenting a moving needle in ultrasound images is challenging due to the presence of artifacts, noise, and needle occlusion. This task becomes even more demanding in scenarios where data availability is limited. In this paper, we present a novel app
Externí odkaz:
http://arxiv.org/abs/2312.01239
Due to its importance and widespread use in industry, automated testing of REST APIs has attracted major interest from the research community in the last few years. However, most of the work in the literature has been focused on black-box fuzzing. Al
Externí odkaz:
http://arxiv.org/abs/2309.08360
Autor:
Francesco Gatto, Sinisa Bratulic, Francesca Maccari, Fabio Galeotti, Nicola Volpi, Jens Nielsen, Yair Lotan, Henrik Kjölhede
Publikováno v:
European Urology Open Science, Vol 68, Iss , Pp 40-47 (2024)
Background and objective: Screening for bladder cancer (BCa) could reduce mortality via early detection of early-stage high-grade (Ta/T1 N0 M0 grade 2–3) disease. Noninvasive biomarkers could aid in screening, but current markers lack the specifici
Externí odkaz:
https://doaj.org/article/ea6532441b704085861bdd4e804a3f8e
Autor:
Victor A. Piedrahita, Andrew P. Roberts, Eelco J. Rohling, David Heslop, Xiang Zhao, Simone Galeotti, Fabio Florindo, Katharine M. Grant, Pengxiang Hu, Jinhua Li
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Extreme global warming can produce hydroclimate changes that remain poorly understood for sub-tropical latitudes. Late Palaeocene-early Eocene (LPEE; ~58-52 Ma) proto-Mediterranean zones of the western Tethys offer opportunities to assess hy
Externí odkaz:
https://doaj.org/article/88d196a225eb4600998604732c23a2c4
Autor:
Samuele Zamparo, Massimo Orioles, Ginevra Brocca, Fabio Marroni, Ciro Castellano, Slobodanka Radovic, Luciana Mandrioli, Marco Galeotti, Ranieri Verin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The generic term “Gill disease” refers to a wide range of disorders that affect the gills and severely impact salmonid aquaculture systems worldwide. In rainbow trout freshwater aquaculture, various etiological agents causing gill diseas
Externí odkaz:
https://doaj.org/article/06a1916fbc074984b1c6afaca5c1144a
Autor:
Galeotti, Gianluca, De Marchi, Fabrizio, Hamzehpoor, Ehsan, MacLean, Oliver, Rao, Malakalapalli Rajeswara, Chen, Yulan, Besteiro, Lucas Vazquez, Dettmann, Dominik, Ferrari, Luisa, Frezza, Federico, Sheverdyaeva, Polina M., Liu, R., Kundu, Asish K., Moras, Paolo, Ebrahimi, Maryam, Gallagher, Mark C., Rosei, Federico, Perepichka, Dmytro F., Contini, Giorgio
Publikováno v:
Nature Materials 19, 874-880 (2020)
2D materials with high charge carrier mobility and tunable electronic band gaps have attracted intense research effort for their potential use as active components in nanoelectronics. 2D-conjugated polymers (2DCP) constitute a promising sub-class due
Externí odkaz:
http://arxiv.org/abs/2307.03433
In this paper, we present a novel deep-learning model for deformable registration of ultrasound images and an unsupervised approach to training this model. Our network employs recurrent all-pairs field transforms (RAFT) and a spatial transformer netw
Externí odkaz:
http://arxiv.org/abs/2306.13332