Artificial intelligence extension of the OSCAR-IB criteria

Autor: Petzold, A., Albrecht, P., Balcer, L., Bekkers, E., Brandt, A. U., Calabresi, P. A., Deborah, O. G., Graves, J. S., Green, A., Keane, P. A., Nij Bijvank, J. A., Sander, J. W., Paul, F., Saidha, S., Villoslada, P., Wagner, S. K., Yeh, E. A., Aktas, O., Antel, J., Asgari, N., Audo, I., Avasarala, J., Avril, D., Bagnato, F. R., Banwell, B., Bar-Or, A., Behbehani, R., Manterola, A. B., Bennett, J., Benson, L., Bernard, J., Bremond-Gignac, D., Britze, J., Burton, J., Calkwood, J., Carroll, W., Chandratheva, A., Cohen, J., Comi, G., Cordano, C., Costa, S., Costello, F., Courtney, A., Cruz-Herranz, A., Cutter, G., Crabb, D., Delott, L., De Seze, J., Diem, R., Dollfuss, H., El Ayoubi, N. K., Fasser, C., Finke, C., Fischer, D., Fitzgerald, K., Fonseca, P., Frederiksen, J. L., Frohman, E., Frohman, T., Fujihara, K., Cuellar, I. G., Galetta, S., Garcia-Martin, E., Giovannoni, G., Glebauskiene, B., Suarez, I. G., Jensen, G. P., Hamann, S., Hartung, H. -P., Havla, J., Hemmer, B., Huang, S. -C., Imitola, J., Jasinskas, V., Jiang, H., Kafieh, R., Kappos, L., Kardon, R., Keegan, D., Kildebeck, E., Kim, U. S., Klistorner, S., Knier, B., Kolbe, S., Korn, T., Krupp, L., Lagreze, W., Leocani, L., Levin, N., Liskova, P., Preiningerova, J. L., Lorenz, B., May, E., Miller, D., Mikolajczak, J., Said, S. M., Montalban, X., Morrow, M., Mowry, E., Murta, J., Navas, C., Nolan, R., Nowomiejska, K., Oertel, F. C., Oh, J., Oreja-Guevara, C., Orssaud, C., Osborne, B., Outteryck, O., Paiva, C., Palace, J., Papadopoulou, A., Patsopoulos, N., Pontikos, N., Preising, M., Prince, J., Reich, D., Rejdak, R., Ringelstein, M., Rodriguez de Antonio, L., Sahel, J. -A., Sanchez-Dalmau, B., Sastre-Garriga, J., Schippling, S., Schuman, J., Shindler, K., Shin, R., Shuey, N., Soelberg, K., Specovius, S., Suppiej, A., Thompson, A., Toosy, A., Torres, R., Touitou, V., Trauzettel-Klosinski, S., van der Walt, A., Vermersch, P., Vidal-Jordana, A., Waldman, A. T., Waters, C., Wheeler, R., White, O., Wilhelm, H., Winges, K. M., Wiegerinck, N., Wiehe, L., Wisnewski, T., Wong, S., Wurfel, J., Yaghi, S., You, Y., Yu, Z., Yu-Wai-Man, P., Zemaitien≐, R., Zimmermann, H.

Publikováno v: Petzold, A, Albrecht, P, Balcer, L, Bekkers, E, Brandt, A U, Calabresi, P A, Deborah, O G, Graves, J S, Green, A, Keane, P A, Nij Bijvank, J A, Sander, J W, Paul, F, Saidha, S, Villoslada, P, Wagner, S K, Yeh, E A & the IMSVISUAL, ERN-EYE Consortium 2021, ' Artificial intelligence extension of the OSCAR-IB criteria ', Annals of Clinical and Translational Neurology, vol. 8, no. 7, pp. 1528-1542 . https://doi.org/10.1002/acn3.51320
the IMSVISUAL, ERN-EYE Consortium 2021, ' Artificial intelligence extension of the OSCAR-IB criteria ', Annals of Clinical and Translational Neurology, vol. 8, no. 7, pp. 1528-1542 . https://doi.org/10.1002/acn3.51320
Annals of Clinical and Translational Neurology
Annals of Clinical and Translational Neurology, Vol 8, Iss 7, Pp 1528-1542 (2021)

Artificial intelligence (AI)‐based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab75a15c7ed188859f7ddc8d47650216
https://openaccess.city.ac.uk/id/eprint/26361/1/acn3.51320.pdf

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The Energetic Particle Detector

Autor: Rodríguez-Pacheco, J., Wimmer-Schweingruber, R., Mason, G., Ho, G., Sánchez-Prieto, S., Prieto, M., Martín, C., Seifert, H., Andrews, G., Kulkarni, S., Panitzsch, L., Boden, S., Böttcher, S., Cernuda, I., Elftmann, R., Espinosa Lara, F., Gómez-Herrero, R., Terasa, C., Almena, J., Begley, S., Böhm, E., Blanco, J., Boogaerts, W., Carrasco, A., Castillo, R., da Silva Fariña, A., de Manuel González, V., Drews, C., Dupont, A., Eldrum, S., Gordillo, C., Gutiérrez, O., Haggerty, D., Hayes, J., Heber, B., Hill, M., Jüngling, M., Kerem, S., Knierim, V., Köhler, J., Kolbe, S., Kulemzin, A., Lario, D., Lees, W., Liang, S., Martínez Hellín, A., Meziat, D., Montalvo, A., Nelson, K., Parra, P., Paspirgilis, R., Ravanbakhsh, A., Richards, M., Rodríguez-Polo, O., Russu, A., Sánchez, I., Schlemm, C., Schuster, B., Seimetz, L., Steinhagen, J., Tammen, J., Tyagi, K., Varela, T., Yedla, M., Yu, J., Agueda, N., Aran, A., Horbury, T., Klecker, B., Klein, K.-L., Kontar, E., Krucker, S., Maksimovic, M., Malandraki, O., Owen, C., Pacheco, D., Sanahuja, B., Vainio, R., Connell, J., Dalla, S., Dröge, W., Gevin, O., Gopalswamy, N., Kartavykh, Y., Kudela, K., Limousin, O., Makela, P., Mann, G., Önel, H., Posner, A., Ryan, J., Soucek, J., Hofmeister, S., Vilmer, N., Walsh, A., Wang, L., Wiedenbeck, M., Wirth, K., Zong, Q.

Publikováno v: Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, EDP Sciences, 2020, 642, pp.A7. ⟨10.1051/0004-6361/201935287⟩

International audience; After decades of observations of solar energetic particles from space-based observatories, relevant questions on particle injection, transport, and acceleration remain open. To address these scientific topics, accurate measure

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e1e7528a8e20106847e467f9a8debf76
https://hal.archives-ouvertes.fr/hal-03442388

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