Journal Article
F. Aström, Petra, S., Schmitzer, B., and Schnörr, C.,
“Image Labeling by Assignment”,
J. Math. Imag. Vision, vol. 58, pp. 211–238, 2017.
R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C.,
“Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment”,
SIAM Journal on Imaging Sciences, vol. 11, no. 2, pp. 1317-1362, 2018.
Technical Report (2.62 MB) R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C.,
“Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment”,
SIAM J. Imaging Science, vol. 11, pp. 1317–1362, 2018.
S. Berg, Kutra, D., Kroeger, T., Straehle, C. N., Kausler, B. X., Haubold, C., Schiegg, M., Ales, J., Beier, T., Rudy, M., Eren, K., Cervantes, J. I., Xu, B., Beuttenmüller, F., Wolny, A., Zhang, C., Köthe, U., Hamprecht, F. A., and Kreshuk, A.,
“ilastik: interactive machine learning for (bio)image analysis”,
Nature Methods, vol. 16, pp. 1226-1232, 2019.
D. Kiefhaber, Reith, S., Rocholz, R., and Jähne, B.,
“High-speed imaging of short wind waves by shape from refraction”,
J. Europ. Opt. Soc. Rap. Public., vol. 9, p. 14015, 2014.
J. Kappes, Speth, M., Reinelt, G., and Schnörr, C.,
“Higher-order Segmentation via Multicuts”,
Comp. Vision Image Understanding, vol. 143, pp. 104–119, 2016.
C. Kräuter, Trofimova, D., Kiefhaber, D., Krah, N., and Jähne, B.,
“High resolution 2-D fluorescence imaging of the mass boundary layer thickness at free water surfaces”,
J. Europ. Opt. Soc. Rap. Public., vol. 9, p. 14016, 2014.
A. Bruhn, Jakob, T., Fischer, M., Weickert, J., Brüning, U., and Schnörr, C.,
“High performance cluster computing with 3-D nonlinear diffusion filters”,
Real-Time Imaging, vol. 10, pp. 41–51, 2004.
R. Lindner, Lou, X., Reinstein, J., Shoeman, R. L., Hamprecht, F. A., and Winkler, A.,
“Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation”,
Journal of The American Society for Mass Spectrometry, vol. 25, pp. 1018-1028, 2014.
Technical Report (2.1 MB) B. Jähne, Wais, T., Memery, L., Caulliez, G., Merlivat, L., Münnich, K. O., and Coantic, M.,
“He and Rn gas exchange experiments in the large wind-wave facility of IMST”,
J. Geophys. Res., vol. 90, p. 11,989--11,998, 1985.
L. Ardizzone, Lüth, C., Kruse, J., Rother, C., and Köthe, U.,
“Guided Image Generation with Conditional Invertible Neural Networks”, 2019.
L. Ardizzone, Lüth, C., Kruse, J., Rother, C., and Köthe, U.,
“Guided Image Generation with Conditional Invertible Neural Networks”, 2019.
M. Schiegg, Hanslovsky, P., Haubold, C., Köthe, U., Hufnagel, L., and Hamprecht, F. A.,
“Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell”,
Bioinformatics, vol. 31, no. 6, pp. 948-956, 2015.
Technical Report (534.29 KB) C. Leue, Wenig, M., Jähne, B., and Platt, U.,
“GOME mißt atmosphärische Stickoxide. Globale Biomassenverbrennung und Industrieemissionen”,
Physik in unserer Zeit, vol. 29, p. 179, 1998.
A. Zeilmann, Savarino, F., Petra, S., and Schnörr, C.,
“Geometric Numerical Integration of the Assignment Flow”,
Inverse Problems, vol. 36, p. 034004 (33pp), 2020.