Zobrazeno 1 - 10
of 1 570
pro vyhledávání: '"Nickisch, A"'
Autor:
Jain, Kiran, Lindsey, C., Adamson, E., Arge, C. N., Berger, T. E., Braun, D. C., Chen, R., Collado-Vega, Y. M., Dikpati, M., Felipe, T., Henney, C. J., Hoeksema, J. T., Komm, R. W., Leka, K. D., Marble, A. R., Pillet, V. Martinez, Miesch, M., Nickisch, L. J., Pevtsov, A. A., Pizzo, V. J., Tobiska, W. K., Tripathy, S. C., Zhao, J.
The purpose of this white paper is to put together a coherent vision for the role of helioseismic monitoring of magnetic activity in the Sun's far hemisphere that will contribute to improving space weather forecasting as well as fundamental research
Externí odkaz:
http://arxiv.org/abs/2210.01291
Autor:
Beard, Alison, Nickisch, Curt1
Publikováno v:
Harvard Business Review Digital Articles. 11/28/2024, p1-7. 7p.
Publikováno v:
Communications Chemistry, Vol 6, Iss 1, Pp 1-13 (2023)
Abstract Tetraphenylethylenes (TPEs) are well-known for their aggregation-induced emission properties. The synthesis of TPE derivatives, as well as other highly substituted olefins, generally requires the use of hazardous reagents, such as metalorgan
Externí odkaz:
https://doaj.org/article/9e67f0fd19e94a8abb96c3bb972b5d92
Autor:
NICKISCH, CURT
Publikováno v:
Harvard Business Review. Fall2023 Special issue, p18-23. 6p. 1 Color Photograph.
Autor:
von Voß, Hubertus, Nickisch, Andreas, Kunze, Silke, Siebert, Uwe, Schnell-Inderst, Petra, Grill, Eva, Hessel, Franz, Wasem, Jürgen
Publikováno v:
GMS German Medical Science, Vol 1, p Doc09 (2003)
Objectives: The prevalence of newborn hearing disorders is 1-3 per 1,000. Crucial for later outcome are correct diagnosis and effective treatment as soon as possible. With BERA and TEOAE low-risk techniques for early detection are available. Universa
Externí odkaz:
https://doaj.org/article/d2759f81f3194633885ab38b75b13881
Publikováno v:
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 2021, pp. 91-95
We propose a deep learning-based automatic coronary artery tree centerline tracker (AuCoTrack) extending the vessel tracker by Wolterink (arXiv:1810.03143). A dual pathway Convolutional Neural Network (CNN) operating on multi-scale 3D inputs predicts
Externí odkaz:
http://arxiv.org/abs/2010.00925
Akademický článek
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Autor:
Baltruschat, Ivo M., Steinmeister, Leonhard, Nickisch, Hannes, Saalbach, Axel, Grass, Michael, Adam, Gerhard, Knopp, Tobias, Ittrich, Harald
The aim is to evaluate whether smart worklist prioritization by artificial intelligence (AI) can optimize the radiology workflow and reduce report turnaround times (RTAT) for critical findings in chest radiographs (CXRs). Furthermore, we investigate
Externí odkaz:
http://arxiv.org/abs/2001.08625
Autor:
Freiman, Moti, Nickisch, Hannes, Schmitt, Holger, Maurovich-Horvat, Pal, Donnelly, Patrick, Vembar, Mani, Goshen, Liran
Publikováno v:
Wu G., Munsell B., Zhan Y., Bai W., Sanroma G., Coup\'e P. (eds) Patch-Based Techniques in Medical Imaging. Patch-MI 2017. Lecture Notes in Computer Science, vol 10530. Springer, Cham
We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary lumen segmentation from coronary computed tomography angiography (CCTA) data. The proposed functional consists of fideli
Externí odkaz:
http://arxiv.org/abs/1906.10338
Autor:
Freiman, Moti, Nickisch, Hannes, Prevrhal, Sven, Schmitt, Holger, Vembar, Mani, Maurovich-Horvat, Pál, Donnelly, Patrick, Goshen, Liran
Publikováno v:
Medical Physics 44: 1040-1049, 2017
Purpose: The goal of this study was to assess the potential added benefit of accounting for partial volume effects (PVE) in an automatic coronary lumen segmentation algorithm from coronary computed tomography angiography (CCTA). Materials and methods
Externí odkaz:
http://arxiv.org/abs/1906.09763