Zobrazeno 1 - 10
of 2 174
pro vyhledávání: '"A. Benis"'
Autor:
Reinke, Annika, Tizabi, Minu D., Baumgartner, Michael, Eisenmann, Matthias, Heckmann-Nötzel, Doreen, Kavur, A. Emre, Rädsch, Tim, Sudre, Carole H., Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Benis, Arriel, Blaschko, Matthew, Buettner, Florian, Cardoso, M. Jorge, Cheplygina, Veronika, Chen, Jianxu, Christodoulou, Evangelia, Cimini, Beth A., Collins, Gary S., Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Glocker, Ben, Godau, Patrick, Haase, Robert, Hashimoto, Daniel A., Hoffman, Michael M., Huisman, Merel, Isensee, Fabian, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kenngott, Hannes, Kleesiek, Jens, Kofler, Florian, Kooi, Thijs, Kopp-Schneider, Annette, Kozubek, Michal, Kreshuk, Anna, Kurc, Tahsin, Landman, Bennett A., Litjens, Geert, Madani, Amin, Maier-Hein, Klaus, Martel, Anne L., Mattson, Peter, Meijering, Erik, Menze, Bjoern, Moons, Karel G. M., Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Petersen, Jens, Rafelski, Susanne M., Rajpoot, Nasir, Reyes, Mauricio, Riegler, Michael A., Rieke, Nicola, Saez-Rodriguez, Julio, Sánchez, Clara I., Shetty, Shravya, van Smeden, Maarten, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Wiesenfarth, Manuel, Yaniv, Ziv R., Jäger, Paul F., Maier-Hein, Lena
Publikováno v:
Nature methods, 1-13 (2024)
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation into practice. However, increasing evidence shows that particularly in im
Externí odkaz:
http://arxiv.org/abs/2302.01790
Autor:
César H. Bernabé, Lieze Thielemans, Rajaram Kaliyaperumal, Claudio Carta, Shuxin Zhang, Celia W.G. van Gelder, Nirupama Benis, Luiz Olavo Bonino da Silva Santos, Ronald Cornet, Bruna dos Santos Vieira, Nawel Lalout, Ines Henriques, Alberto Cámara Ballesteros, Kees Burger, Martijn G. Kersloot, Friederike Ehrhart, Esther van Enckevort, Chris T. Evelo, Alasdair J. G. Gray, Marc Hanauer, Kristina Hettne, Joep de Ligt, Arnaldo Pereira, Núria Queralt-Rosinach, Erik Schultes, Domenica Taruscio, Andra Waagmeester, Mark D. Wilkinson, Egon L. Willighagen, Mascha Jansen, Barend Mons, Marco Roos, Annika Jacobsen
Publikováno v:
Data Intelligence, Vol 6, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/c194c4f10312486ea34113eef6b8426a
Autor:
Maier-Hein, Lena, Reinke, Annika, Godau, Patrick, Tizabi, Minu D., Buettner, Florian, Christodoulou, Evangelia, Glocker, Ben, Isensee, Fabian, Kleesiek, Jens, Kozubek, Michal, Reyes, Mauricio, Riegler, Michael A., Wiesenfarth, Manuel, Kavur, A. Emre, Sudre, Carole H., Baumgartner, Michael, Eisenmann, Matthias, Heckmann-Nötzel, Doreen, Rädsch, Tim, Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Benis, Arriel, Blaschko, Matthew, Cardoso, M. Jorge, Cheplygina, Veronika, Cimini, Beth A., Collins, Gary S., Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Haase, Robert, Hashimoto, Daniel A., Hoffman, Michael M., Huisman, Merel, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kenngott, Hannes, Kofler, Florian, Kopp-Schneider, Annette, Kreshuk, Anna, Kurc, Tahsin, Landman, Bennett A., Litjens, Geert, Madani, Amin, Maier-Hein, Klaus, Martel, Anne L., Mattson, Peter, Meijering, Erik, Menze, Bjoern, Moons, Karel G. M., Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Petersen, Jens, Rajpoot, Nasir, Rieke, Nicola, Saez-Rodriguez, Julio, Sánchez, Clara I., Shetty, Shravya, van Smeden, Maarten, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Jäger, Paul F.
Publikováno v:
Nature methods, 1-18 (2024)
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen performance metrics often do not reflect the domain interest, thus fa
Externí odkaz:
http://arxiv.org/abs/2206.01653
Epsilon-near-zero (ENZ) materials have emerged as viable platforms for strong nonlinear optical (NLO) interactions. The NLO phase shift in materials exhibiting an ENZ condition is extremely large, however, direct experimental measurements of the magn
Externí odkaz:
http://arxiv.org/abs/2205.13811
Publikováno v:
In Journal of Environmental Chemical Engineering December 2024 12(6)
Autor:
Naderi, Azra, Benis, Khaled Zoroufchi, Dowlati, Mohsen, Seyedin, Hesam, Behnami, Ali, Farzadkia, Mahdi
Publikováno v:
In Journal of Environmental Management January 2025 373
Autor:
Hillenbrand, P. -M., Hagmann, S., Kozhedub, Y. S., Benis, E. P., Brandau, C., Chen, R. J., Dmytriiev, D., Forstner, O., Glorius, J., Grisenti, R. E., Gumberidze, A., Lestinsky, M., Litvinov, Yu. A., Menz, E. B., Morgenroth, T., Nanos, S., Petridis, N., Pfäfflein, Ph., Rothard, H., Sanjari, M. S., Sidhu, R. S., Spillmann, U., Trotsenko, S., Tupitsyn, I. I., Varga, L., Stöhlker, Th.
Publikováno v:
Phys. Rev. A 105, 022810 (2022)
We present an experimental and theoretical study of symmetric $\textrm{Xe}^{54+}+\textrm{Xe}$ collisions at 50, 30, and 15 MeV/u, corresponding to strong perturbations with $v_K/v_\text{p}$ = 1.20, 1.55, and 2.20, respectively ($v_K$: classical $K$-s
Externí odkaz:
http://arxiv.org/abs/2201.10181
Autor:
Yessenov, Murat, Faryadras, Sanaz, Benis, Sepehr, Hagan, David J., Van Stryland, Eric W., Abouraddy, Ayman F.
Space-time (ST) wave packets are a class of pulsed optical beams whose spatio-temporal spectral structure results in propagation invariance, tunable group velocity, and fascinating refractive phenomena. Here, we investigate the refraction of ST wave
Externí odkaz:
http://arxiv.org/abs/2112.04003
Autor:
Hajiyeva, Aysel, Mamedov, Chingiz, Gasimov, Eldar, Rzayev, Fuad, Isayev, Orkhan, Khalilov, Rovshan, Eftekhari, Aziz, Zoroufchi Benis, Khaled
Publikováno v:
In Aquatic Toxicology July 2024 272