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Uttenweiler, D, Weber, C, Jähne, B, Fink, R H A and Schaar, H (2003). Spatiotemporal anisotropic diffusion filtering to improve signal-to-noise ratios and object restoration in fluorescence microscopic image sequences.. J Biomed Opt. Ruprecht-Karls-Universität Heidelberg, Institut für Physiologie und Pathophysiologie Medical Biophysics, Im Neuenheimer Feld 326, 69120 Heidelberg, Germany. dietmar.uttenweiler@urz.uni-heidelberg.de. 8 40--47. http://dx.doi.org/10.1117/1.1527627
Uttenweiler, D, Veigel, C, Steubing, R, Götz, C, Mann, S, Haußecker, H, Jähne, B and Fink, R H A (2000). Motion determination in actin filament fluorescence images with a spatio-temporal orientation analysis method.. Biophys J. Institut für Physiologie und Pathophysiologie, Ruprecht-Karls-Universität Heidelberg, 69120 Heidelberg, Germany. uttenweiler@urz.uni-heidelberg.de. 78 2709--2715
Urban, G, Bendszus, M, Hamprecht, F A and Kleesiek, J (2014). Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks. MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution. 31-35
Urban, G (2014). Neural Networks: Optimization And Applications. University of Heidelberg
Ulman, V, 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 (2017). An Objective Comparison of Cell Tracking Algorithms. Nature Methods. 14 1141-1152PDF icon Technical Report (4.24 MB)
Uhlmann, V, Haubold, C, Hamprecht, F A and Unser, M (2017). Diverse Shortest Paths for Bioimage Analysis. Bioinformatics. 1-3
Ufer, N and Ommer, B (2017). Deep Semantic Feature Matching. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)PDF icon article (8.88 MB)
Ufer, N, Lui, K To, Schwarz, K, Warkentin, P and Ommer, B (2019). Weakly Supervised Learning of Dense SemanticCorrespondences and Segmentation. German Conference on Pattern Recognition (GCPR)PDF icon article (6.1 MB)
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Tvarusk\´o, (2000). Zeitaufgelöste Analyse und Visualisierung in lebenden Zellen. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Tschiersch, J and Jähne, B (1980). Gas exchange trough a rough water surface in a circular windtunnel; wave characteristics under limited and unlimited fetch. Berichte aus dem Sonderforschungsbereich 94 Meeresforschung - Symposium on Capillary Waves and Gas Exchange, Trier July 2--6, 1979. Univ. Hamburg. 63--70
Tschiersch, J (1980). Optische Messung Von Kapillarwellen Im Hinblick Auf Den Gasaustausch. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Trukenmüller, (1989). Einflüsse Von Viskosität U. Oberflächenspannung Auf Winderzeugte Wasseroberflächenwellen. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Trofimova, D (2015). Towards Four Dimensional Visualization of Air-Water Gas Exchange. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg. Dissertation
Trittler, S and Hamprecht, F A (2009). Near-Optimum Sampling Design and an Efficient Algorithm for Single Tone Frequency Estimation. Digital Signal Processing. 19 628-639PDF icon Technical Report (511.23 KB)
Trittler, S (2007). Processing of Interferometric Data. University of Heidelberg
Tremmel, H G (1989). Untersuchungen Zur Wiederbelüftung Von Neckar Und Rhein Mit Der Konstantflußmethode. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Tourani, S, Shekhovtsov, A, Rother, C and Savchynskyy, B (2020). Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. AISTATS 2020. https://gitlab.com/PDF icon PDF (2.58 MB)
Tourani, S, Shekhovtsov, A, Rother, C and Savchynskyy, B (2018). MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11208 LNCS 264–281
Torresani, L, Kolmogorov, V and Rother, C (2008). Feature correspondence via graph matching: Models and global optimization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5303 LNCS 596–609
Torresani, L, Kolmogorov, V and Rother, C (2008). Feature correspondence via graph matching: Models and global optimization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5303 LNCS 596–609
Töppe, E, Oswald, M R, Cremers, D and Rother, C (2011). Image-based 3D modeling via cheeger sets. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6492 LNCS 53–64
Thieke, C, Nix, O, Koehn, A, Floca, R, van Straaten, D, Hahn, H, Strauss, L G, Siems, U, Graf, M, Pruem, H, Klein, J, Laue, H and Kaster, F O (2009). A framework and multi-application prototype for integrated radiological diagnostics and radiation therapy. Strahlentherapie und Onkologie. 185 81
Telea, A, Preußer, T, Garbe, C S, Droske, M and Rumpf, M (2006). A variational approach to joint denoising, edge detection and motion estimation. Proceedings of the 28th DAGM Symposium on Pattern Recognition. 525--535. http://numod.ins.uni-bonn.de/research/papers/public/PrDrGa06.pdf
Tek, B F, Kröger, T, Mikula, S and Hamprecht, F A (2014). Automated Cell Nucleus Detection for Large-Volume Electron Microscopy of Neural Tissue. ISBI. Proceedings. 69-72PDF icon Technical Report (533.92 KB)
Tamburic, B (2006). Measurement Of The Modulation Transfer Function Through The Use Of Regional Circular Targets. Imperial College London
Takami, M, Bell, P and Ommer, B (2014). An Approach to Large Scale Interactive Retrieval of Cultural Heritage. Eurographics Workshop on Graphics and Cultural Heritage. The Eurographics AssociationPDF icon Technical Report (7.94 MB)
Takami, M, Bell, P and Ommer, B (2014). Offline Learning of Prototypical Negatives for Efficient Online Exemplar SVM. Winter Conference on Applications of Computer Vision. IEEE. 377--384. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6836075
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Szeliski, R, Zabih, R, Scharstein, D, Veksler, O, Kolmogorov, V, Agarwala, A, Tappen, M and Rother, C (2008). A comparative study of energy minimization methods for Markov random fields with smoothness-based priors. IEEE Transactions on Pattern Analysis and Machine Intelligence. Springer-Verlag. 30 1068–1080. http://vision.middlebury.edu/MRF.
Szeliski, R, Zabih, R, Scharstein, D, Veksler, O, Kolmogorov, V, Agarwala, A, Tappen, M and Rother, C (2008). A comparative study of energy minimization methods for Markov random fields with smoothness-based priors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30 1068–1080
Swoboda, P and Schnörr, C (2013). Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer. 8081 321–334
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014
Swoboda, P, Shekhovtsov, A, Kappes, J H, Schnörr, C and Savchynskyy, B (2016). Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Patt. Anal. Mach. Intell. 38 1370–1382

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