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W

N. Ufer, Lui, K. To, Schwarz, K., Warkentin, P., and Ommer, B., “Weakly Supervised Learning of Dense SemanticCorrespondences and Segmentation”, in German Conference on Pattern Recognition (GCPR), 2019.

article (6.1 MB)

V

F. Raisch, Scharr, H., Kirchgeßner, N., Jähne, B., Fink, R. H. A., and Uttenweiler, D., “Velocity and feature estimation of actin filaments using active contours in noisy fluorescence image sequences”, in Proc. 2nd IASTED Int. Conf. Visualization, Imaging and Image Processing, 2002, p. 645--650.

T

B. H. Menze, Ur, J. A., and Sherratt, A. G., “Tell Spotting - Surveying Near Eastern Settlement Mounds from Space”, in Proceedings of the XXth CIPA International Symposium 2005, Torino, Italy, 2005, pp. 217-223.

Technical Report (2.53 MB)

S

T. Hara, Uz, B. M., Wei, H., Edson, J. B., Frew, N. M., McGilles, W. R., McKenna, S. P., Bock, E. J., Haußecker, H., and Schimpf, U., “Surface wave observations during CoOP experiments and their relations to air-sea gas transfer”, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 45--49.

U. Schurr, Schuberth, B., Aloni, R., Pradel, K. S., Schmund, D., Jähne, B., and Ullrich, C. I., “Structural and functional evidence for xylem-mediated water transport and high tranpiration in Agrobacterium tumefaciens-induced tumors of Ricinus communis”, Botanica Acta, vol. 109, p. 405--412, 1996.

D. Uttenweiler, Weber, C., Jähne, B., Fink, R. H. A., and Schaar, H., “Spatiotemporal anisotropic diffusion filtering to improve signal-to-noise ratios and object restoration in fluorescence microscopic image sequences.”, J Biomed Opt, vol. 8, p. 40--47, 2003.

O

E. J. Bock, Edson, J. B., Frew, N. M., Hara, T., Haußecker, H., Jähne, B., McGilles, W. R., McKenna, S. P., Nelson, R. K., Schimpf, U., and Uz, B. M., “Overview of the CoOP experiments: physical and chemical measurements parameterizing air-sea gas transfer”, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 39--44.

V. Ulman, Maška, M., Magnusson, K. E. G., Ronneberger, O., Haubold, C., Harder, N., Matula, P., Matula, P., Svoboda, D., Radojevic, M., Smal, I., Rohr, K., Jaldén, J., Blau, H. M., Dzyubachyk, O., Lelieveldt, B., Xiao, P., Li, Y., Cho, S. - Y., Dufour, A., Olivo-Marin, J. C., Reyes-Aldasoro, C. C., Solis-Lemus, J. A., Bensch, R., Brox, T., Stegmaier, J., Mikut, R., Wolf, S., Hamprecht, F. A., Esteves, T., Quelhas, P., Demirel, Ö., Malström, L., Jug, F., Tomančák, P., Meijering, E., Muñoz-Barrutia, A., Kozubek, M., and Ortiz-de-Solorzano, C., “An Objective Comparison of Cell Tracking Algorithms”, Nature Methods, vol. 14, no. 12, pp. 1141-1152, 2017.

Technical Report (4.24 MB)

N. Ufer, Lang, S., and Ommer, B., “Object Retrieval and Localization in Large Art Collections Using Deep Multi-style Feature Fusion and Iterative Voting”, IEEE European Conference on Computer Vision (ECCV), VISART Workshop . 2020.

Paper (1.03 MB)

N

G. Urban, “Neural Networks: Optimization and Applications”, University of Heidelberg, 2014.

M

G. Urban, Bendszus, M., Hamprecht, F. A., and Kleesiek, J., “Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks”, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution, 2014, pp. 31-35.

D. Uttenweiler, Veigel, C., Steubing, R., Götz, C., Mann, S., Haußecker, H., Jähne, B., and Fink, R. H. A., “Motion determination in actin filament fluorescence images with a spatio-temporal orientation analysis method.”, Biophys J, vol. 78, p. 2709--2715, 2000.

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.

J

M. Storath, Weinmann, A., and Unser, M., “Jump-penalized least absolute values estimation of scalar or circle-valued signals”, Information and Inference, vol. 6, no. 3, pp. 225–245, 2017.

Technical Report (3.4 MB)

E. Levinkov, Uhrig, J., Tang, S., Omran, M., Insafutdinov, E., Kirillov, A., Rother, C., Brox, T., Schiele, B., and Andres, B., “Joint graph decomposition & node labeling: Problem, algorithms, applications”, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 1904–1912.

I

J. Kleesiek, Biller, A., Urban, G., Köthe, U., Bendszus, M., and Hamprecht, F. A., “ilastik for Multi-modal Brain Tumor Segmentation”, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace, 2014, pp. 12-17.

Technical Report (405.91 KB)

G

B. Jähne, “Gas transfer at water surfaces”, Environmental Fluid Mechanics - Memorial Volume in honour of Professor Gerhard H. Jirka. CRC Press/Balkema, p. 389--404, 2012.

F

M. Storath, Rickert, D., Unser, M., and Weinmann, A., “Fast segmentation from blurred data in 3D fluorescence microscopy”, IEEE Transactions on Image Processing, vol. 26, no. 10, 2017.

D. Fortun, Storath, M., Rickert, D., Weinmann, A., and Unser, M., “Fast Piecewise-Affine Motion Estimation Without Segmentation”, IEEE Transactions on Image Processing, vol. 27 , no. 11, pp. 5612 - 5624, 2018.

E

M. Kandemir, Agkül, A., Haußmann, M., and Ünal, G., “Evidential Turing Processes”. arXiv preprint, 2021.

D

V. Uhlmann, Haubold, C., Hamprecht, F. A., and Unser, M., “Diverse Shortest Paths for Bioimage Analysis”, Bioinformatics, pp. 1-3, 2017.

V. Uhlmann, Haubold, C., Hamprecht, F. A., and Unser, M., “Diverse Shortest Paths for Bioimage Analysis”, Bioinformatics, pp. 1-3, 2017.

C. Haubold, Uhlmann, V., Unser, M., and Hamprecht, F. A., “Diverse M-best Solutions by Dynamic Programming”, GCPR. Proceedings, vol. LNCS 10496. Springer, pp. 255-267, 2017.

C. Haubold, Uhlmann, V., Unser, M., and Hamprecht, F. A., “Diverse M-best Solutions by Dynamic Programming”, GCPR. Proceedings, vol. LNCS 10496. Springer, pp. 255-267, 2017.

B. H. Menze, Ur, J. A., and Sherratt, A. G., “Detection of ancient settlement mounds - Archaeological survey based on the SRTM terrain model”, Photgrammetric Engineering & Remote Sensing, vol. 3, pp. 321-327, 2006.

Technical Report (643.89 KB)

E. J. Bock, Edson, J. B., Frew, N. M., Karachintsev, A., McGilles, W. R., Nelson, R. K., Hansen, K., Jähne, B., Hara, T., Uz, B. M., Jähne, B., Dieter, J., Klinke, J., and Haußecker, H., “Description of the science plan for the April 1995 CoOP experiment, `gas transfer in coastal waters', performed from the research vessel New Horizon”, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 801--810.

N. Ufer and Ommer, B., “Deep Semantic Feature Matching”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

article (8.88 MB)

J. Kleesiek, Urban, G., Hubert, A., Schwarz, D., Maier-Hein, K., Bendszus, M., and Biller, A., “Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.”, NeuroImage, vol. 129, pp. 460-469, 2016.

Technical Report (1.14 MB)

C

B. H. Menze and Ur, J. A., “Classification of multispectral ASTER imagery in the archaeological survey for settlement sites of the Near East”, in Proc 10th International Symposium on Physical Measurements and Signature in Remote Sensing (ISPMRS 07), Davos, Switzerland, 2007.

Technical Report (920.71 KB)

A

N. M. Frew, Bock, E. J., Schimpf, U., Hara, T., Haußecker, H., Edson, J. B., McGilles, W. R., Nelson, R. K., McKenna, S. P., Uz, B. M., and Jähne, B., “Air-sea gas transfer: Its dependence on wind stress, small-scale roughness, and surface films”, J. Geophys. Res., vol. 109, p. C08S17, 2004.