Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Ahammer Helmut"'
Publikováno v:
Current Directions in Biomedical Engineering, Vol 2, Iss 1, Pp 419-422 (2016)
Grading intraepithelial neoplasia is crucial to derive an accurate estimate of pre-cancerous stages and is currently performed by pathologists assessing histopathological images. Inter- and intra-observer variability can significantly be reduced, whe
Externí odkaz:
https://doaj.org/article/263688aee3244b428cac8d955d05add1
Autor:
Reiss Martin A., Hofmeister Stefan J., De Visscher Ruben, Temmer Manuela, Veronig Astrid M., Delouille Véronique, Mampaey Benjamin, Ahammer Helmut
Publikováno v:
Journal of Space Weather and Space Climate, Vol 5, p A23 (2015)
We demonstrate the use of machine learning algorithms in combination with segmentation techniques in order to distinguish coronal holes and filaments in SDO/AIA EUV images of the Sun. Based on two coronal hole detection techniques (intensity-based th
Externí odkaz:
https://doaj.org/article/7f482ed5848742a1b2c5d3f649efeeea
Autor:
Ahammer, Helmut1 (AUTHOR) helmut.ahammer@medunigraz.at, Reiss, Martin A.2 (AUTHOR), Hackhofer, Moritz1 (AUTHOR), Andronache, Ion3 (AUTHOR), Radulovic, Marko4 (AUTHOR), Labra-Spröhnle, Fabián5 (AUTHOR), Jelinek, Herbert Franz6,7 (AUTHOR)
Publikováno v:
PLoS ONE. 10/5/2023, Vol. 18 Issue 10, p1-18. 18p.
Autor:
Reiss, Martin A., Hofmeister, Stefan J., De Visscher, Ruben, Temmer, Manuela, Veronig, Astrid M., Delouille, Véronique, Mampaey, Benjamin, Ahammer, Helmut
We demonstrate the use of machine learning algorithms in combination with segmentation techniques in order to distinguish coronal holes and filaments in SDO/AIA EUV images of the Sun. Based on two coronal hole detection techniques (intensity-based th
Externí odkaz:
http://arxiv.org/abs/1506.06623
Autor:
Störchle, Paul ∗, Müller, Wolfram ∗, Sengeis, Marietta ∗, Ahammer, Helmut ∗, Fürhapter-Rieger, Alfred ∗, Bachl, Norbert, Lackner, Sonja, Mörkl, Sabrina, Holasek, Sandra
Publikováno v:
In Ultrasound in Medicine & Biology February 2017 43(2):427-438
Akademický článek
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Autor:
Andronache, Ion C., Ahammer, Helmut, Jelinek, Herbert F., Peptenatu, Daniel, Ciobotaru, Ana-M., Draghici, Cristian C., Pintilii, Radu D., Simion, Adrian G., Teodorescu, Camelia
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena October 2016 91:310-318
Autor:
Peptenatu Daniel, Andronache Ion, Ahammer Helmut, Taylor Richard, Liritzis Ioannis, Radulović Marko, Ciobanu Bogdan, Burcea Marin, Perc Matjaz, PhamTuan D, Tomić Bojan, Cîrstea Cosmin Iulian, Gruia Andreea Karina, Marian Marin, Herbert Franz Jelinek
The complexity in the styles of 1200 Byzantine icons painted between 13th and 16th from Greece, Russia and Romania was investigated through the Kolmogorov algorithmic information theory. The aim was to identify specific quantitative patterns which de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::c8218ddc0bac41dbf7114b9b3c204a55
https://zenodo.org/record/7681274
https://zenodo.org/record/7681274
Autor:
Djuričić Goran J, Ahammer Helmut, Rajković Stanislav, Kovač Jelena Djokić, Milošević Zorica, Sopta Jelena P, Radulović Marko
Background: Computational analysis of routinely acquired MRI has potential to improve the tumor chemoresistance prediction and to provide decision support in precision medicine, which may extend patient survival. Most radiomic analytical methods are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88db5fae1e77aadcbad0a6b6c8b165cb
https://zenodo.org/record/6953738
https://zenodo.org/record/6953738
Akademický článek
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