P
C. Pape, Remme, R., Wolny, A., Olberg, S., Wolf, S., Cerrone, L., Cortese, M., Klaus, S., Lucic, B., Ullrich, S., Anders-Össwein, M., Wolf, S., Cerikan, B., Neufeldt, C. J., Ganter, M., Schnitzler, P., Merle, U., Lusic, M., Boulant, S., Stanifer, M., Bartenschlager, R., Hamprecht, F. A., Kreshuk, A., Tischer, C., Kräusslich, H. - G., Müller, B., and Laketa, V.,
“Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera”,
BioEssays, vol. 43, no. 3, 2021.
C. Pape, Beier, T., Li, P., Jain, V., Brock, D. D., and Kreshuk, A.,
“Solving Large Multicut Problems for Connectomics via Domain Decomposition”,
Bioimage Computing Workshop. ICCV. pp. 1-10, 2017.
N. Paragios, Faugeras, O., Chan, T., and Schnörr, C., Eds.,
“Variational, Geometric and Level Sets in Computer Vision (VLSM'05)”,
lncs, vol. 3752. Springer, Beijing, China, 2005.
P. Pavlov,
“Analysis of Motion in Scale Space”. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2008.
W. Peckar, Schnörr, C., Rohr, K., Stiehl, H. –S., and Spetzger, U.,
“Linear and Incremental Estimation of Elastic Deformations in Medical Registration Using Prescribed Displacements”,
Machine Graphics & Vision, vol. 7, pp. 807–829, 1998.
W. Peckar, Schnörr, C., Rohr, K., and Stiehl, H. –S.,
“Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements”,
J. Math. Imaging and Vision, vol. 10, pp. 143–162, 1999.
W. Peckar, Schnörr, C., Rohr, K., and Stiehl, H. S.,
“Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements”, in
Proc. 9th Int. Conf. on Image Analysis and Processing (ICIAP'97), Florence, Italy, 1997.
W. Peckar, Schnörr, C., Rohr, K., and Stiehl, H. S.,
“Non-Rigid Image Registration Using a Parameter-Free Elastic Model”, in
9th British Machine Vision Conference (BMVC`98), Southampton/UK, 1998, pp. 134–143.
S. Peter, Kirschbaum, E., Both, M., Campbell, L. A., Harvey, B. K., Heins, C., Durstewitz, D., Diego, F., and Hamprecht, F. A.,
“Sparse convolutional coding for neuronal assembly detection”,
NIPS, poster. 2017.
S. Petra, Schröder, A., Wieneke, B., and Schnörr, C.,
“On Sparsity Maximization in Tomographic Particle Image Reconstruction”, in
Pattern Recognition – 30th DAGM Symposium, 2008, vol. 5096, pp. 294–303.
S. Petra and Schnörr, C.,
“TomoPIV meets Compressed Sensing”,
Pure Math. Appl., vol. 20, pp. 49 – 76, 2009.
S. Petra, Schnörr, C., Schröder, A., and Wieneke, B.,
“Tomographic Image Reconstruction in Experimental Fluid Dynamics: Synopsis and Problems”, in
Proc. 6th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 07), Constanta, Romania, 2007.
S. Petra, Schnörr, C., Becker, F., and Lenzen, F.,
“B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems”, in
Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013, 2013, vol. 7893, pp. 110-124.
Technical Report (1.15 MB) S. Petra, Schnörr, C., Becker, F., and Lenzen, F.,
“B-SMART: Bregman-Based First-Order Algorithms for Non-Negative
Compressed Sensing Problems”, in
Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM, 2013, pp. 110-124.
S. Petra, Schröder, A., Wieneke, B., and Schnörr, C.,
“On Sparsity Maximization in Tomographic Particle Image Reconstruction”, in
Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 294--303.
Technical Report (1014.71 KB) M. Pfannmöller, Flügge, H., Benner, G., Wacker, I., Sommer, C., Hanselmann, M., Schmale, S., Schmidt, H., Hamprecht, F. A., Rabe, T., Kowalsky, W., and Schröder, R.,
“Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy”,
Nano Letters, vol. 11, pp. 3099-3107, 2011.