O
Olaf Ronneberger
Researcher at University of Freiburg
Publications - 142
Citations - 98214
Olaf Ronneberger is an academic researcher from University of Freiburg. The author has contributed to research in topics: Segmentation & Image segmentation. The author has an hindex of 45, co-authored 140 publications receiving 60179 citations. Previous affiliations of Olaf Ronneberger include Google & University of Jena.
Papers
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Dual-Plane Correlation for Three-Dimensional Particle Image Velocimetry on Planar Domains
TL;DR: In this paper, the spatial cross-correlation of particle images stored on separate frames of each exposure is analyzed by the analysis of the correlation peak heights, which depends on the portion of paired particle images and other parameters such as background light, varying image size and number, loss of pairs and in-plane motion.
Journal ArticleDOI
Modeling two-phase flow in a micro-model with local thermal non-equilibrium on the Darcy scale
TL;DR: In this paper, the authors calibrate a macro-scale mathematical model which is free of local equilibrium assumptions to experimental observations to quantify heat transfer in two-phase flow in porous media.
Journal ArticleDOI
Variational attenuation correction in two-view confocal microscopy
Thorsten Schmidt,Jasmin Dürr,Margret Keuper,Thomas Blein,Thomas Blein,Klaus Palme,Olaf Ronneberger +6 more
TL;DR: The proposed approach improves the quantification of confocal microscopic data of thick specimen by respecting photon noise, estimates apparent bleaching between the two recordings, and constrains the attenuation field to be smooth and sparse to avoid spurious attenuation estimates in regions lacking valid measurements.
Book ChapterDOI
Online Monitoring and Identification of Bioaerosol (OMIB)
Petra Rösch,Michaela Harz,Mario Dipl.-Chem. Krause,R. Petry,Klaus-Dieter Peschke,Hans Burkhardt,Olaf Ronneberger,Andreas Schüle,Günther Schmauz,Rainer Riesenberg,Andreas Wuttig,Markus Lankers,S. Hofer,Hans Thiele,Hans-Walter Motzkus,Jürgen Popp +15 more
Book ChapterDOI
Discriminative Detection and Alignment in Volumetric Data
Dominic Mai,Philipp Fischer,Thomas Blein,Jasmin Dürr,Klaus Palme,Thomas Brox,Olaf Ronneberger +6 more
TL;DR: It is shown that due to the more accurate localization, the alignment of the shape model to the image improves the detection performance and allows to better localize the detections and to reconstruct the cells in case of low quality input data.