Zobrazeno 1 - 10
of 15 989
pro vyhledávání: '"Reinhard, R."'
Publikováno v:
Tomography, Vol 10, Iss 5, Pp 738-760 (2024)
Radiation treatment of cancers like prostate or cervix cancer requires considering nearby bone structures like vertebrae. In this work, we present and validate a novel automated method for the 3D segmentation of individual lumbar and thoracic vertebr
Externí odkaz:
https://doaj.org/article/a8c59803ed52440c83414bd42f27eb5b
Autor:
Xiaofan Xiong, Brian J. Smith, Stephen A. Graves, Michael M. Graham, John M. Buatti, Reinhard R. Beichel
Publikováno v:
Tomography, Vol 9, Iss 5, Pp 1933-1948 (2023)
Convolutional neural networks (CNNs) have a proven track record in medical image segmentation. Recently, Vision Transformers were introduced and are gaining popularity for many computer vision applications, including object detection, classification,
Externí odkaz:
https://doaj.org/article/83b20ab732704186bca6974681f43022
Autor:
Li, Pei-Zhen, Chen, Na, Al-Hamry, Ammar, Sheremet, Evgeniya, Lu, Ran, Yang, Yi, Kanoun, Olfa, Baumann, Reinhard R., Rodriguez, Raul D., Chen, Jin-Ju
Publikováno v:
In Chemical Engineering Journal 1 February 2023 457
Akademický článek
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In der Reihe Lexicographica. Series Maior erscheinen schwerpunktmäßig Monographien und Sammelbände zur Lexikographie und Metalexikographie. Darüber hinaus werden Arbeiten aus dem weiteren Bereich der Lexikologie aufgenommen, sofern sie Ansätze b
Autor:
Adam Luczak, Kalyan Y. Mitra, Reinhard R. Baumann, Ralf Zichner, Beata Luszczynska, Jaroslaw Jung
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract In relation to conventional vacuum-based processing techniques inkjet printing enables upscaling fabrication of basic electronic elements, such as transistors and diodes. We present the fully inkjet printed flexible electronic circuits, incl
Externí odkaz:
https://doaj.org/article/ba6094439bf944e7b018413e1c79fbaf
Autor:
Willert, Andreas, Tabary, Farzin Z., Zubkova, Tatiana, Santangelo, Paolo E., Romagnoli, Marcello, Baumann, Reinhard R.
Publikováno v:
In International Journal of Hydrogen Energy 5 June 2022 47(48):20973-20986
Autor:
Harald Keller, Tina Shek, Brandon Driscoll, Yiwen Xu, Brian Nghiem, Sadek Nehmeh, Milan Grkovski, Charles Ross Schmidtlein, Mikalai Budzevich, Yoganand Balagurunathan, John J. Sunderland, Reinhard R. Beichel, Carlos Uribe, Ting-Yim Lee, Fiona Li, David A. Jaffray, Ivan Yeung
Publikováno v:
Tomography, Vol 8, Iss 2, Pp 1113-1128 (2022)
For multicenter clinical studies, characterizing the robustness of image-derived radiomics features is essential. Features calculated on PET images have been shown to be very sensitive to image noise. The purpose of this work was to investigate the e
Externí odkaz:
https://doaj.org/article/890a5cc0df3442dc997417577f3ea2a6