B. Michael Kelm, Menze, B. H., Nix, O., Zechmann, C. M., and Hamprecht, F. A.,
“Estimating Kinetic Parameter Maps from Dynamic Contrast-Enhanced MRI using Spatial Prior Knowledge”,
IEEE Transaction on Medical Imaging, vol. 28:10, pp. 1534-1547, 2009.
Technical Report (419.8 KB) B. Michael Kelm, Menze, B. H., Zechmann, C. M., Baudendistel, K. T., and Hamprecht, F. A.,
“Automated Estimation of Tumor Probability in Prostate MRSI: Pattern Recognition vs. Quantification”,
Magnetic Resonance in Medicine, vol. 57, pp. 150-159, 2007.
Technical Report (348.05 KB) J. Keuchel, Heiler, M., and Schnörr, C.,
“Hierarchical Image Segmentation based on Semidefinite Programming”, in
Pattern Recognition, Proc. 26th DAGM Symposium, 2004, vol. 3175, pp. 120-128.
J. Keuchel, Schellewald, C., Cremers, D., and Schnörr, C.,
“Convex Relaxations for Binary Image Partitioning and Perceptual Grouping”, in
Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 353–360.
J. Keuchel, Schnörr, C., Schellewald, C., and Cremers, D.,
“Unsupervised Image Partitioning with Semidefinite Programming”, in
Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 141–149.
M. Kiechle, Storath, M., Weinmann, A., and Kleinsteuber, M.,
“Model-based learning of local image features for unsupervised texture segmentation”,
IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1994-2007, 2018.
D. Kiefhaber,
“Optical Measurement of Short Wind Waves --- from the Laboratory to the Field”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2014.
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.
D. Kimmich, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.
D. M. Kirchhöfer, Holst, G. A., Wouters, F. S., Hock, S., and Jähne, B.,
“Extended noise equalisation for image compression in microscopical applications”,
tm - Technisches Messen, vol. 86, pp. 422–432, 2019.