Zobrazeno 1 - 10
of 611
pro vyhledávání: '"P. Gebler"'
Autor:
Najia Ahmadi, Michele Zoch, Oya Guengoeze, Carlo Facchinello, Antonia Mondorf, Katharina Stratmann, Khader Musleh, Hans-Peter Erasmus, Jana Tchertov, Richard Gebler, Jannik Schaaf, Lena S. Frischen, Azadeh Nasirian, Jiabin Dai, Elisa Henke, Douglas Tremblay, Andrew Srisuwananukorn, Martin Bornhäuser, Christoph Röllig, Jan-Niklas Eckardt, Jan Moritz Middeke, Markus Wolfien, Martin Sedlmayr
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-17 (2024)
Abstract Background Given the geographical sparsity of Rare Diseases (RDs), assembling a cohort is often a challenging task. Common data models (CDM) can harmonize disparate sources of data that can be the basis of decision support systems and artifi
Externí odkaz:
https://doaj.org/article/cec2cc1927334a19b9fc237532e90f14
Autor:
Claudia Neubauer, Oliver Gebler, Caroline Wilpert, Maxim Scherwitz, Niklas Efinger, Fabian Bamberg, Marisa Windfuhr-Blum, Jakob Neubauer
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-9 (2024)
Abstract Background Accurate assessment of breast implants is important for appropriate clinical management. We evaluated silicone properties and diagnostic accuracy for characterizing silicone implants and detecting degenerative changes including ru
Externí odkaz:
https://doaj.org/article/e762e7d0d3df4d6f8ff7487bc24bb80d
Autor:
Santos, Thiago T., Gebler, Luciano
Computer vision methods based on convolutional neural networks (CNNs) have presented promising results on image-based fruit detection at ground-level for different crops. However, the integration of the detections found in different images, allowing
Externí odkaz:
http://arxiv.org/abs/2110.12331
Autor:
Katja Hoffmann, Igor Nesterow, Yuan Peng, Elisa Henke, Daniela Barnett, Cigdem Klengel, Mirko Gruhl, Martin Bartos, Frank Nüßler, Richard Gebler, Sophia Grummt, Anne Seim, Franziska Bathelt, Ines Reinecke, Markus Wolfien, Jens Weidner, Martin Sedlmayr
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionObtaining real-world data from routine clinical care is of growing interest for scientific research and personalized medicine. Despite the abundance of medical data across various facilities — including hospitals, outpatient clinics, an
Externí odkaz:
https://doaj.org/article/9c43891145694a9d93a426ac8b17a544
Autor:
Belle II Collaboration, Abudinen, F., Adachi, I., Adak, R., Adamczyk, K., Ahlburg, P., Ahn, J. K., Aihara, H., Akopov, N., Aloisio, A., Ameli, F., Andricek, L., Ky, N. Anh, Asner, D. M., Atmacan, H., Aulchenko, V., Aushev, T., Aushev, V., Aziz, T., Babu, V., Bacher, S., Baehr, S., Bahinipati, S., Bakich, A. M., Bambade, P., Banerjee, Sw., Bansal, S., Barrett, M., Batignani, G., Baudot, J., Beaulieu, A., Becker, J., Behera, P. K., Bender, M., Bennett, J. V., Bernieri, E., Bernlochner, F. U., Bertemes, M., Bertholet, E., Bessner, M., Bettarini, S., Bhardwaj, V., Bhuyan, B., Bianchi, F., Bilka, T., Bilokin, S., Biswas, D., Bobrov, A., Bondar, A., Bonvicini, G., Bozek, A., Bracko, M., Branchini, P., Braun, N., Briere, R. A., Browder, T. E., Brown, D. N., Budano, A., Burmistrov, L., Bussino, S., Campajola, M., Cao, L., Caria, G., Casarosa, G., Cecchi, C., Cervenkov, D., Chang, M. -C., Chang, P., Cheaib, R., Chekelian, V., Chen, C., Chen, Y. Q., Chen, Y. -T., Cheon, B. G., Chilikin, K., Chirapatpimol, K., Cho, H. -E., Cho, K., Cho, S. -J., Choi, S. -K., Choudhury, S., Cinabro, D., Corona, L., Cremaldi, L. M., Cuesta, D., Cunliffe, S., Czank, T., Dash, N., Dattola, F., De La Cruz-Burelo, E., de Marino, G., De Nardo, G., De Nuccio, M., De Pietro, G., de Sangro, R., Deschamps, B., Destefanis, M., Dey, S., De Yta-Hernandez, A., Di Canto, A., Di Capua, F., Di Carlo, S., Dingfelder, J., Dolezal, Z., Jimenez, I. Dominguez, Dong, T. V., Dort, K., Dossett, D., Dubey, S., Duell, S., Dujany, G., Eidelman, S., Eliachevitch, M., Epifanov, D., Fast, J. E., Ferber, T., Ferlewicz, D., Fillinger, T., Finocchiaro, G., Fiore, S., Fischer, P., Fodor, A., Forti, F., Frey, A., Friedl, M., Fulsom, B. G., Gabriel, M., Gabyshev, N., Ganiev, E., Garcia-Hernandez, M., Garg, R., Garmash, A., Gaur, V., Gaz, A., Gebauer, U., Gelb, M., Gellrich, A., Gemmler, J., Gebler, T., Getzkow, D., Giordano, R., Giri, A., Glazov, A., Gobbo, B., Godang, R., Goldenzweig, P., Golob, B., Gomis, P., Grace, P., Gradl, W., Graziani, E., Greenwald, D., Guan, Y., Gudkova, K., Hadjivasiliou, C., Halder, S., Hara, K., Hara, T., Hartbrich, O., Hayasaka, K., Hayashii, H., Hazra, S., Hearty, C., Hedges, M. T., de la Cruz, I. Heredia, Villanueva, M. Hernandez, Hershenhorn, A., Higuchi, T., Hill, E. C., Hirata, H., Hoek, M., Hohmann, M., Hollitt, S., Hotta, T., Hsu, C. -L., Hu, Y., Huang, K., Humair, T., Iijima, T., Inami, K., Inguglia, G., Jabbar, J. Irakkathil, Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Iwata, S., Jackson, P., Jacobs, W. W., Jaegle, I., Jaffe, D. E., Jang, E. -J., Jeandron, M., Jeon, H. B., Jia, S., Jin, Y., Joo, C., Joo, K. K., Junkerkalefeld, H., Kadenko, I., Kahn, J., Kakuno, H., Kaliyar, A. B., Kandra, J., Kang, K. H., Kapusta, P., Karl, R., Karyan, G., Kato, Y., Kawai, H., Kawasaki, T., Keck, T., Ketter, C., Kichimi, H., Kiesling, C., Kim, B. H., Kim, C. -H., Kim, D. Y., Kim, H. J., Kim, K. -H., Kim, K., Kim, S. -H., Kim, Y. -K., Kim, Y., Kimmel, T. D., Kindo, H., Kinoshita, K., Kirby, B., Kleinwort, C., Knysh, B., Kodys, P., Koga, T., Kohani, S., Komarov, I., Konno, T., Korobov, A., Korpar, S., Kovalchuk, N., Kovalenko, E., Kraetzschmar, T. M. G., Krinner, F., Krizan, P., Kroeger, R., Krohn, J. F., Krokovny, P., Kruger, H., Kuehn, W., Kuhr, T., Kumar, J., Kumar, M., Kumar, R., Kumara, K., Kumita, T., Kunigo, T., Kunzel, M., Kurz, S., Kuzmin, A., Kvasnicka, P., Kwon, Y. -J., Lacaprara, S., Lai, Y. -T., La Licata, C., Lalwani, K., Lanceri, L., Lange, J. S., Laurenza, M., Lautenbach, K., Laycock, P. J., Diberder, F. R. Le, Lee, I. -S., Lee, S. C., Leitl, P., Levit, D., Lewis, P. M., Li, C., Li, L. K., Li, S. X., Li, Y. B., Libby, J., Lieret, K., Gioi, L. Li, Lin, J., Liptak, Z., Liu, Q. Y., Liu, Z. A., Liventsev, D., Longo, S., Loos, A., Lu, P., Lubej, M., Lueck, T., Luetticke, F., Luo, T., Lyu, C., MacQueen, C., Maeda, Y., Maggiora, M., Maity, S., Manfredi, R., Manoni, E., Marcello, S., Marinas, C., Martini, A., Masuda, M., Matsuda, T., Matsuoka, K., Matvienko, D., McNeil, J., Meggendorfer, F., Mei, J. C., Meier, F., Merola, M., Metzner, F., Milesi, M., Miller, C., Miyabayashi, K., Miyake, H., Miyata, H., Mizuk, R., Azmi, K., Mohanty, G. B., Moon, H., Moon, T., Grimaldo, J. A. Mora, Morii, T., Moser, H. -G., Mrvar, M., Mueller, F., Muller, F. J., Muller, Th., Muroyama, G., Murphy, C., Mussa, R., Nakagiri, K., Nakamura, I., Nakamura, K. R., Nakano, E., Nakao, M., Nakayama, H., Nakazawa, H., Nanut, T., Natkaniec, Z., Natochii, A., Nayak, M., Nazaryan, G., Neverov, D., Niebuhr, C., Niiyama, M., Ninkovic, J., Nisar, N. K., Nishida, S., Nishimura, K., Nishimura, M., Nouxman, M. H. A., Oberhof, B., Ogawa, K., Ogawa, S., Olsen, S. L., Onishchuk, Y., Ono, H., Onuki, Y., Oskin, P., Oxford, E. R., Ozaki, H., Pakhlov, P., Pakhlova, G., Paladino, A., Pang, T., Panta, A., Paoloni, E., Pardi, S., Park, H., Park, S. -H., Paschen, B., Passeri, A., Pathak, A., Patra, S., Paul, S., Pedlar, T. K., Peruzzi, I., Peschke, R., Pestotnik, R., Piccolo, M., Piilonen, L. E., Podesta-Lerma, P. L. M., Polat, G., Popov, V., Praz, C., Prell, S., Prencipe, E., Prim, M. T., Purohit, M. V., Rad, N., Rados, P., Raiz, S., Rasheed, R., Reif, M., Reiter, S., Remnev, M., Resmi, P. K., Ripp-Baudot, I., Ritter, M., Ritzert, M., Rizzo, G., Rizzuto, L. B., Robertson, S. H., Perez, D. Rodriguez, Roney, J. M., Rosenfeld, C., Rostomyan, A., Rout, N., Rozanska, M., Russo, G., Sahoo, D., Sakai, Y., Sanders, D. A., Sandilya, S., Sangal, A., Santelj, L., Sartori, P., Sasaki, J., Sato, Y., Savinov, V., Scavino, B., Schram, M., Schreeck, H., Schueler, J., Schwanda, C., Schwartz, A. J., Schwenker, B., Seddon, R. M., Seino, Y., Selce, A., Senyo, K., Seong, I. S., Serrano, J., Sevior, M. E., Sfienti, C., Shebalin, V., Shen, C. P., Shibuya, H., Shiu, J. -G., Shwartz, B., Sibidanov, A., Simon, F., Singh, J. B., Skambraks, S., Smith, K., Sobie, R. J., Soffer, A., Sokolov, A., Soloviev, Y., Solovieva, E., Spataro, S., Spruck, B., Staric, M., Stefkova, S., Stottler, Z. S., Stroili, R., Strube, J., Stypula, J., Sumihama, M., Sumisawa, K., Sumiyoshi, T., Summers, D. J., Sutcliffe, W., Suzuki, K., Suzuki, S. Y., Svidras, H., Tabata, M., Takahashi, M., Takizawa, M., Tamponi, U., Tanaka, S., Tanida, K., Tanigawa, H., Taniguchi, N., Tao, Y., Taras, P., Tenchini, F., Tonelli, D., Torassa, E., Trabelsi, K., Tsuboyama, T., Tsuzuki, N., Uchida, M., Ueda, I., Uehara, S., Ueno, T., Uglov, T., Unger, K., Unno, Y., Uno, S., Urquijo, P., Ushiroda, Y., Usov, Y. V., Vahsen, S. E., van Tonder, R., Varner, G. S., Varvell, K. E., Vinokurova, A., Vitale, L., Vorobyev, V., Vossen, A., Wach, B., Waheed, E., Wakeling, H. M., Wan, K., Abdullah, W. Wan, Wang, B., Wang, C. H., Wang, M. -Z., Wang, X. L., Warburton, A., Watanabe, M., Watanuki, S., Webb, J., Wehle, S., Welsch, M., Wessel, C., Wiechczynski, J., Wieduwilt, P., Windel, H., Won, E., Wu, L. J., Xu, X. P., Yabsley, B. D., Yamada, S., Yan, W., Yang, S. B., Ye, H., Yelton, J., Yeo, I., Yin, J. H., Yonenaga, M., Yook, Y. M., Yoshihara, K., Yoshinobu, T., Yuan, C. Z., Yuan, G., Yusa, Y., Zani, L., Zhang, J. Z., Zhang, Y., Zhang, Z., Zhilich, V., Zhou, J., Zhou, Q. D., Zhou, X. Y., Zhukova, V. I., Zhulanov, V., Zupanc, A.
We report measurements related to hadronic $B$ decays to final states that contain charm mesons. The analyses are performed on a $62.8~\mathrm{fb}^{-1}$ data set collected by the Belle II experiment at a center-of-mass energy corresponding to the mas
Externí odkaz:
http://arxiv.org/abs/2104.03628
Autor:
Yuan Peng, Franziska Bathelt, Richard Gebler, Robert Gött, Andreas Heidenreich, Elisa Henke, Dennis Kadioglu, Stephan Lorenz, Abishaa Vengadeswaran, Martin Sedlmayr
Publikováno v:
JMIR Medical Informatics, Vol 12, p e52967 (2024)
BackgroundMultisite clinical studies are increasingly using real-world data to gain real-world evidence. However, due to the heterogeneity of source data, it is difficult to analyze such data in a unified way across clinics. Therefore, the implementa
Externí odkaz:
https://doaj.org/article/a9c70af8fac2436ca59d3bb1f167eaca
Autor:
Naiara Luchi Klöppel, Patrícia Pauletto, Naiany Meiriely de Almeida Lopes, Franciele Floriani, Rangel Lidani, Graziela De Luca Canto, Analucia Gebler Philippi, Luis André Mezzomo
Publikováno v:
International Journal of Dentistry, Vol 2024 (2024)
Conclusions: Almost 8 out of 10 edentulous patients have SB. Approximately half of the SB-detected patients showed moderate to severe severity of bruxism as measured by a commercial, at-home device.
Externí odkaz:
https://doaj.org/article/778bae33a9804901a12220594385f30d
Autor:
Richard Gebler, Martin Lehmann, Maik Löwe, Mirko Gruhl, Markus Wolfien, Miriam Goldammer, Franziska Bathelt, Jens Karschau, Andreas Hasselberg, Veronika Bierbaum, Toni Lange, Katja Polotzek, Hanns-Christoph Held, Michael Albrecht, Jochen Schmitt, Martin Sedlmayr
Publikováno v:
PLoS ONE, Vol 19, Iss 1, p e0297039 (2024)
BackgroundThe COVID-19 pandemic revealed a need for better collaboration among research, care, and management in Germany as well as globally. Initially, there was a high demand for broad data collection across Germany, but as the pandemic evolved, lo
Externí odkaz:
https://doaj.org/article/7330531700054935bbde4a35a8842673
Autor:
J. Zalewska-Gałosz, M. Kwiatkowska, J. Prančl, K. Skubała, M. Lučanová, D. Gebler, K. Szoszkiewicz
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Understanding the genetic variability of hybrids provides information on their current and future evolutionary role. In this paper, we focus on the interspecific hybrid Ranunculus circinatus × R. fluitans that forms spontaneously within the
Externí odkaz:
https://doaj.org/article/f87ed6480ea4496da16bb60363500ca7
Publikováno v:
Scientific Annals of Computer Science, Vol XXXII, Iss 2, Pp 211-254 (2022)
For the model of probabilistic labelled transition systems that allow for the co-existence of nondeterminism and probabilities, we present two notions of bisimulation metrics: one is state-based and the other is distribution-based. We provide a sound
Externí odkaz:
https://doaj.org/article/e90f4d8ee03a4561bbcdcc866d58dc66