Zobrazeno 1 - 10
of 678
pro vyhledávání: '"ALVES, NATÁLIA"'
Autor:
Ma, Jun, Zhang, Yao, Gu, Song, Ge, Cheng, Ma, Shihao, Young, Adamo, Zhu, Cheng, Meng, Kangkang, Yang, Xin, Huang, Ziyan, Zhang, Fan, Liu, Wentao, Pan, YuanKe, Huang, Shoujin, Wang, Jiacheng, Sun, Mingze, Xu, Weixin, Jia, Dengqiang, Choi, Jae Won, Alves, Natália, de Wilde, Bram, Koehler, Gregor, Wu, Yajun, Wiesenfarth, Manuel, Zhu, Qiongjie, Dong, Guoqiang, He, Jian, Consortium, the FLARE Challenge, Wang, Bo
Quantitative organ assessment is an essential step in automated abdominal disease diagnosis and treatment planning. Artificial intelligence (AI) has shown great potential to automatize this process. However, most existing AI algorithms rely on many e
Externí odkaz:
http://arxiv.org/abs/2308.05862
Autor:
Moretti, Nayara Rozalem, Silva, Ana Beatriz Nardelli da, Guimarães, Letícia Vieira, Bezerra, Ian de Paula, Taumaturgo, João Arthur Cerqueira, Alves, Natália Gabrielli Silva, Kelly, Francinny Alves, Moraes, Francisco Cezar Aquino de
Publikováno v:
In Critical Reviews in Oncology / Hematology January 2025 205
Precise, super-resolving intensity measurement by quantum jump spectroscopy of a single neutral atom
Autor:
Bianchet, Lorena C., Alves, Natalia, Zarraoa, Laura, Lamich, Tomas, Prakash, Vindhiya, Mitchell, Morgan W.
Publikováno v:
Phys. Rev. Research 4, L042026 (2022)
We present precise, sub-wavelength optical intensity measurement using a single trapped $^{87}$Rb atom as a sensor. The intensity is measured by the scalar ac Stark shift it produces on the $F=1 \rightarrow F'=2$ hyperfine transition of the D$_{2}$ l
Externí odkaz:
http://arxiv.org/abs/2205.13899
Autor:
Martins, Sara A., Costa, Rui R., Brito, Alexandra, Reis, Rui L., Alves, Natália M., Pashkuleva, Iva, Soares da Costa, Diana
Publikováno v:
In Journal of Colloid And Interface Science 15 November 2024 674:500-512
Autor:
He, Junjun, Yang, Hua, Huang, Bingding, Lyu, Mengye, Ma, Yongkang, Guo, Heng, Xu, Weixin, Maier-Hein, Klaus, Wu, Yajun, Ma, Jun, Zhang, Yao, Gu, Song, Ge, Cheng, Mae, Shihao, Young, Adamo, Zhu, Cheng, Yang, Xin, Meng, Kangkang, Huang, Ziyan, Zhang, Fan, Pan, Yuanke, Huang, Shoujin, Wang, Jiacheng, Sun, Mingze, Zhang, Rongguo, Jia, Dengqiang, Choi, Jae Won, Alves, Natália, de Wilde, Bram, Koehler, Gregor, Lai, Haoran, Wang, Ershuai, Wiesenfarth, Manuel, Zhu, Qiongjie, Dong, Guoqiang, He, Jian, Wang, Bo *
Publikováno v:
In The Lancet Digital Health November 2024 6(11):e815-e826
Autor:
Correia, Cátia, Peixoto, Daniela, Soares da Costa, Diana, Reis, Rui L., Pashkuleva, Iva, Alves, Natália M.
Publikováno v:
In Biomaterials Advances February 2025 167
Autor:
Alves, Natália O.1,2 (AUTHOR), Oshiro, Jéssica A.3 (AUTHOR), Silva, Yunna C.3 (AUTHOR), Pacher, Gabriela C.1,4 (AUTHOR), Casaril, Aline E.1 (AUTHOR), Rizk, Yasmin S.1 (AUTHOR), Uehara, Silvia N. O.3,5 (AUTHOR), Paniago, Anamaria M. M.2,3,5 (AUTHOR), Andrade, Isadora L. X.5 (AUTHOR), Arruda, Carla C. P.1,4 (AUTHOR) alessandra.oliveira@ufms.br, Oliveira, Alessandra G.1,2 (AUTHOR) carla.arruda@ufms.br
Publikováno v:
PLoS Neglected Tropical Diseases. 8/26/2024, Vol. 18 Issue 8, p1-16. 16p.
Autor:
Alves, Natália, Schuurmans, Megan, Litjens, Geke, Bosma, Joeran S., Hermans, John, Huisman, Henkjan
Publikováno v:
lves, N.; Schuurmans, M.;Litjens, G.; Bosma, J.S.; Hermans, J.;Huisman, H. Fully Automatic DeepLearning Framework for PancreaticDuctal Adenocarcinoma Detection onComputed Tomography.Cancers2022,14, 376
Early detection improves prognosis in pancreatic ductal adenocarcinoma (PDAC) but is challenging as lesions are often small and poorly defined on contrast-enhanced computed tomography scans (CE-CT). Deep learning can facilitate PDAC diagnosis, howeve
Externí odkaz:
http://arxiv.org/abs/2111.15409
Autor:
Kelly, Catherine, Trumpff, Caroline, Acosta, Carlos, Assuras, Stephanie, Baker, Jack, Basarrate, Sophia, Behnke, Alexander, Bo, Ke, Bobba-Alves, Natalia, Champagne, Frances A., Conklin, Quinn, Cross, Marissa, De Jager, Philip, Engelstad, Kris, Epel, Elissa, Franklin, Soah G., Hirano, Michio, Huang, Qiuhan, Junker, Alex, Juster, Robert-Paul, Kapri, Darshana, Kirschbaum, Clemens, Kurade, Mangesh, Lauriola, Vincenzo, Li, Shufang, Liu, Cynthia C., Liu, Grace, McEwen, Bruce, McGill, Marlon A., McIntyre, Kathleen, Monzel, Anna S., Michelson, Jeremy, Prather, Aric A., Puterman, Eli, Rosales, Xiomara Q., Shapiro, Peter A., Shire, David, Slavich, George M., Sloan, Richard P., Smith, Janell L.M., Spann, Marisa, Spicer, Julie, Sturm, Gabriel, Tepler, Sophia, de Schotten, Michel Thiebaut, Wager, Tor D., Picard, Martin
Publikováno v:
In Trends in Endocrinology & Metabolism October 2024 35(10):884-901