Zobrazeno 1 - 10
of 2 993
pro vyhledávání: '"Román C"'
Publikováno v:
Bonplandia, Vol 32, Iss 2, Pp 217-232 (2023)
Hygrophilous forests are tree dominated formations in periodically or permanently waterlogged environments. The species composition, phytosociological structure and tree diversity of hygrophilous forest stands located in Puerto Valle, in the northeas
Externí odkaz:
https://doaj.org/article/0dc23dcfac674af396a35761a86608f4
Autor:
Heinlein, Lukas, Maron, Roman C., Hekler, Achim, Haggenmüller, Sarah, Wies, Christoph, Utikal, Jochen S., Meier, Friedegund, Hobelsberger, Sarah, Gellrich, Frank F., Sergon, Mildred, Hauschild, Axel, French, Lars E., Heinzerling, Lucie, Schlager, Justin G., Ghoreschi, Kamran, Schlaak, Max, Hilke, Franz J., Poch, Gabriela, Korsing, Sören, Berking, Carola, Heppt, Markus V., Erdmann, Michael, Haferkamp, Sebastian, Drexler, Konstantin, Schadendorf, Dirk, Sondermann, Wiebke, Goebeler, Matthias, Schilling, Bastian, Krieghoff-Henning, Eva, Brinker, Titus J.
Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence (AI) has proven to be helpful for enhancing melanoma detection. Howeve
Externí odkaz:
http://arxiv.org/abs/2401.14193
Autor:
Chamarthi, Sireesha, Fogelberg, Katharina, Maron, Roman C., Brinker, Titus J., Niebling, Julia
The potential of deep neural networks in skin lesion classification has already been demonstrated to be on-par if not superior to the dermatologists diagnosis. However, the performance of these models usually deteriorates when the test data differs s
Externí odkaz:
http://arxiv.org/abs/2310.03432
Autor:
Hekler, Achim, Maron, Roman C., Haggenmüller, Sarah, Schmitt, Max, Wies, Christoph, Utikal, Jochen S., Meier, Friedegund, Hobelsberger, Sarah, Gellrich, Frank F., Sergon, Mildred, Hauschild, Axel, French, Lars E., Heinzerling, Lucie, Schlager, Justin G., Ghoreschi, Kamran, Schlaak, Max, Hilke, Franz J., Poch, Gabriela, Korsing, Sören, Berking, Carola, Heppt, Markus V., Erdmann, Michael, Haferkamp, Sebastian, Drexler, Konstantin, Schadendorf, Dirk, Sondermann, Wiebke, Goebeler, Matthias, Schilling, Bastian, Kather, Jakob N., Krieghoff-Henning, Eva, Brinker, Titus J.
Background: Convolutional neural network (CNN)-based melanoma classifiers face several challenges that limit their usefulness in clinical practice. Objective: To investigate the impact of multiple real-world dermoscopic views of a single lesion of in
Externí odkaz:
http://arxiv.org/abs/2306.02800
Autor:
Moses, S. A., Baldwin, C. H., Allman, M. S., Ancona, R., Ascarrunz, L., Barnes, C., Bartolotta, J., Bjork, B., Blanchard, P., Bohn, M., Bohnet, J. G., Brown, N. C., Burdick, N. Q., Burton, W. C., Campbell, S. L., Campora III, J. P., Carron, C., Chambers, J., Chan, J. W., Chen, Y. H., Chernoguzov, A., Chertkov, E., Colina, J., Curtis, J. P., Daniel, R., DeCross, M., Deen, D., Delaney, C., Dreiling, J. M., Ertsgaard, C. T., Esposito, J., Estey, B., Fabrikant, M., Figgatt, C., Foltz, C., Foss-Feig, M., Francois, D., Gaebler, J. P., Gatterman, T. M., Gilbreth, C. N., Giles, J., Glynn, E., Hall, A., Hankin, A. M., Hansen, A., Hayes, D., Higashi, B., Hoffman, I. M., Horning, B., Hout, J. J., Jacobs, R., Johansen, J., Jones, L., Karcz, J., Klein, T., Lauria, P., Lee, P., Liefer, D., Lytle, C., Lu, S. T., Lucchetti, D., Malm, A., Matheny, M., Mathewson, B., Mayer, K., Miller, D. B., Mills, M., Neyenhuis, B., Nugent, L., Olson, S., Parks, J., Price, G. N., Price, Z., Pugh, M., Ransford, A., Reed, A. P., Roman, C., Rowe, M., Ryan-Anderson, C., Sanders, S., Sedlacek, J., Shevchuk, P., Siegfried, P., Skripka, T., Spaun, B., Sprenkle, R. T., Stutz, R. P., Swallows, M., Tobey, R. I., Tran, A., Tran, T., Vogt, E., Volin, C., Walker, J., Zolot, A. M., Pino, J. M.
Publikováno v:
Phys. Rev. X 13, 041052 (2023)
We describe and benchmark a new quantum charge-coupled device (QCCD) trapped-ion quantum computer based on a linear trap with periodic boundary conditions, which resembles a race track. The new system successfully incorporates several technologies cr
Externí odkaz:
http://arxiv.org/abs/2305.03828
Autor:
Fogelberg, Katharina, Chamarthi, Sireesha, Maron, Roman C., Niebling, Julia, Brinker, Titus J.
The limited ability of Convolutional Neural Networks to generalize to images from previously unseen domains is a major limitation, in particular, for safety-critical clinical tasks such as dermoscopic skin cancer classification. In order to translate
Externí odkaz:
http://arxiv.org/abs/2304.06968
Autor:
Allcock, D. T. C., Campbell, W. C., Chiaverini, J., Chuang, I. L., Hudson, E. R., Moore, I. D., Ransford, A., Roman, C., Sage, J. M., Wineland, D. J.
Publikováno v:
Appl. Phys. Lett. 119, 214002 (2021)
Quantum computers, much like their classical counterparts, will likely benefit from flexible qubit encodings that can be matched to different tasks. For trapped ion quantum processors, a common way to access multiple encodings is to use multiple, co-
Externí odkaz:
http://arxiv.org/abs/2109.01272
Autor:
Straub, Anton, Utz, Chiara, Stapf, Maximilian, Vollmer, Andreas, Breitenbuecher, Niko, Kübler, Alexander C., Brands, Roman C., Hartmann, Stefan, Lâm, Thiên-Trí
Publikováno v:
In Journal of Stomatology oral and Maxillofacial Surgery June 2024 125(3)
Autor:
Straub, Anton, Stapf, Maximilian, Brands, Roman C., Kübler, Alexander C., Lâm, Thiên-Trí, Vollmer, Andreas, Gubik, Sebastian, Scherf-Clavel, Oliver, Hartmann, Stefan
Publikováno v:
In Journal of Cranio-Maxillo-Facial Surgery March 2024 52(3):355-362