Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Thorben Kröger"'
Publikováno v:
Neurocomputing. 453:85-96
One of the many applications of X-ray computed tomography (CT) in industry is the detection of pores, cavities and other flaws in cast metal parts. Because of its improvement on part safety and saving of expenses, CT inspection is moving from a rando
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c1a3e722fdeb948f2b9d1a874771278
https://doi.org/10.1016/j.neucom.2021.04.094
https://doi.org/10.1016/j.neucom.2021.04.094
Autor:
Tomasz, Konopczyński, Danish, Rathore, Rathore, JITENDRA SINGH, Thorben, Kröger, Lei, Zheng, Christoph, S Garbe, Carmignato, Simone, Jürgen, Hesser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3657::21333e204ca919871990bb83ec0455e5
http://hdl.handle.net/11577/3291711
http://hdl.handle.net/11577/3291711
Publikováno v:
2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).
We address the vessel segmentation problem by building upon the multiscale feature learning method of Kiros et al., which achieves the current top score in the VESSEL12 MICCAI challenge. Following their idea of feature learning instead of hand-crafte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a71047e3e86daef6d7440d5da881b028
https://doi.org/10.1109/nssmic.2016.8069570
https://doi.org/10.1109/nssmic.2016.8069570
Autor:
Jan Lellmann, Jörg Hendrik Kappes, Carsten Rother, Bogdan Savchynskyy, Bernhard X. Kausler, Nikos Komodakis, Bjoern Andres, Christoph Schnörr, Thorben Kröger, Sungwoong Kim, Sebastian Nowozin, Fred A. Hamprecht, Dhruv Batra
Publikováno v:
International Journal of Computer Vision
International Journal of Computer Vision, Springer Verlag, 2015, ⟨10.1007/s11263-015-0809-x⟩
International Journal of Computer Vision, Springer Verlag, 2015, ⟨10.1007/s11263-015-0809-x⟩
International audience; Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov Random Fields (MRF). This study provided valuable insights in choosing the best optimization technique for certain classes of pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3e8fa0c9cd131122c1b8dab3b4d1809
https://hal.archives-ouvertes.fr/hal-01247122/document
https://hal.archives-ouvertes.fr/hal-01247122/document
Publikováno v:
Applications of Discrete Geometry and Mathematical Morphology ISBN: 9783642323126
WADGMM
WADGMM
We present a complete pipeline for the segmentation of 3-dimensional electron microscopy data. Efficient algorithms and parallelization have been developed to make the system applicable to data as large as eight gigavoxels. Discrete geometry plays a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ebc68e08e9c3b139c80a77ff976992e
https://doi.org/10.1007/978-3-642-32313-3_7
https://doi.org/10.1007/978-3-642-32313-3_7