Q.  Garrido, Damrich, S., Jäger, A., Cerletti, D., Claassen, M., Najman, L., and Hamprecht, F. A., ?Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder?, Bioinformatics, vol. 38 (Suppl 1), pp. i316-i324, 2022.

A.  Vijayan, Tofanelli, R., Strauss, S., Cerrone, L., Wolny, A., Strohmeier, J., Kreshuk, A., Hamprecht, F. A., Smith, R. S., and Schneitz, K., ?A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule?, eLife, 2021.

L. M.  Schütz, Louveaux, M., Vilches-Barro, A., Bouziri, S., Cerrone, L., Wolny, A., Kreshuk, A., Hamprecht, F. A., and Maizel, A., ?Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana?, Plant and Cell Physiology, vol. 62, no. 8, pp. 1269-1279, 2021.

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.

K.  Roth, Milbich, T., Ommer, B., Cohen, J. Paul, and Ghassemi, M., ?S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning?, Proceedings of International Conference on Machine Learning (ICML). 2021.

H.  Arlt, Sui, X., Folger, B., Adams, C., Chen, X., Remme, R., Hamprecht, F. A., DiMaio, F., Liao, M., Goodman, J. M., Farese, R. V., and Walther, T. C., ?Seipin forms a flexible cage at lipid droplet formation sites?. bioRxiv, 2021.

A.  Wolny, Cerrone, L., Vijayan, A., Tofanelli, R., Vilches-Barro, A., Louveaux, M., Wenzel, C., Strauss, S., Wilson-Sanchez, D., Lymbouridou, R., Steigleder, S. S., Pape, C., Bailoni, A., Duran-Nebreda, S., Bassel, G. W., Lohmann, J. U., Tsiantis, M., Hamprecht, F. A., Schneitz, K., Maizel, A., and Kreshuk, A., ?Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution?, eLife, vol. 9, 2020.

T.  Milbich, Roth, K., Bharadhwaj, H., Sinha, S., Bengio, Y., Ommer, B., and Cohen, J. Paul, ?DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning?, IEEE European Conference on Computer Vision (ECCV). 2020.

K.  Roth, Milbich, T., Sinha, S., Gupta, P., Ommer, B., and Cohen, J. Paul, ?Revisiting Training Strategies and Generalization Performance in Deep Metric Learning?, International Conference on Machine Learning (ICML). 2020.

Y.  Censor, Petra, S., and Schnörr, C., ?Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case?, J. Appl. Numer. Optimization (in press; arXiv:1911.05498), vol. 2, pp. 15-62, 2020.

B.  Jähne, ?Air-Sea Gas Exchange?, Encyclopedia of Ocean Sciences, vol. 6. Academic Press, pp. 1?13, 2019.

L.  Cerrone, Zeilmann, A., and Hamprecht, F. A., ?End-to-End Learned Random Walker for Seeded Image Segmentation?, CVPR. Proceedings. pp. 12559-12568, 2019.

A.  Imle, Kumberger, P., Schnellbächer, N. D., Fehr, J., Carillo-Bustamente, P., Ales, J., Schmidt, P., Ritter, C., Godinez, W. J., Müller, B., Rohr, K., Hamprecht, F. A., Schwarz, U. S., Graw, F., and Fackler, O. T., ?Experimental and computational analyses reveal that environmental restrictions shape HIV-1 spread in 3D cultures?, Nature Communications, vol. 13;10(1), 2019.

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.

Y.  Censor, Petra, S., and Schnörr, C., ?Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case?, preprint: arXiv, 2019.

L.  Cerrone, ?Deep End-to-End Learning of a Diffusion Process for Seeded Image Segmentation?, Heidelberg University, 2018.

N.  Rahaman, Arpit, D., Baratin, A., Draxler, F., Lin, M., Hamprecht, F. A., Bengio, Y., and Courville, A., ?On the spectral bias of deep neural networks?, arXiv preprint arXiv:1806.08734, 2018.

T.  Beier, Pape, C., Rahaman, N., Prange, T., Berg, S., Bock, D., Cardona, A., Knott, G. W., Plaza, S. M., Scheffer, L. K., Köthe, U., Kreshuk, A., and Hamprecht, F. A., ?Multicut brings automated neurite segmentation closer to human performance?, Nature Methods, vol. 14, no. 2, pp. 101-102, 2017.

V.  Ulman, Ma?ka, 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., Toman?ák, 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.

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.

E.  Meijering, Carpenter, A. E., Peng, H., Hamprecht, F. A., and Olivo-Marin, J., ?Imagining the future of bioimage analysis?, Nature Biotechnology, vol. 34, no. 12, pp. 1250-1255, 2016.

Y.  Censor, Gibali, A., Lenzen, F., and Schnörr, C., ?The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising?, J. Comp. Math., vol. 34, pp. 608-623, 2016.

S.  Zheng, Prisacariu, V. Adrian, Averkiou, M., Cheng, M. Ming, Mitra, N. J., Shotton, J., Torr, P. H. S., and Rother, C., ?Object proposals estimation in depth image using compact 3D shape manifolds?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9358, pp. 196?208.

N. J.  Mitra, Stam, J., Xu, K., Cheng, M. - M., Prisacariu, V. Adrian, Zheng, S., Torr, P. H. S., and Rother, C., ?Pacific Graphics 2015 DenseCut: Densely Connected CRFs for Realtime GrabCut?, vol. 34, 2015.

C.  Cali, Baghabra, J., Boges, D. J., Holst, G. R., Kreshuk, A., Hamprecht, F. A., Srinivasan, M., Lehväslaiho, H., and Magistretti, P. J., ?Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues?, Journal of Comparative Neurology, vol. 524, pp. 23-38, 2015.

D.  Kiefhaber, Caulliez, G., Zappa, C. J., Schaper, J., and Jähne, B., ?Water wave measurement from stereo images of specular reflections?, vol. 26, p. 115401, 2015.

A.  Kreshuk, Funke, J., Cardona, A., and Hamprecht, F. A., ?Who is talking to whom: synaptic partner detection in anisotropic volumes of insect brain?, MICCAI. Proceedings, vol. LNCS 9349. Springer, pp. 661-668, 2015.

A. - S.  Wahl, Omlor, W., Rubio, J. C., Chen, J. L., Zheng, H., Schröter, A., Gullo, M., Weinmann, O., Kobayashi, K., Helmchen, F., Ommer, B., and Schwab, M. E., ?Asynchronous Therapy Restores Motor Control by Rewiring of the Rat Corticospinal Tract after Stroke?, Science, vol. 344, p. 1250--1255, 2014.

S.  Zheng, Cheng, M. Ming, Warrell, J., Sturgess, P., Vineet, V., Rother, C., and Torr, P. H. S., ?Dense semantic image segmentation with objects and attributes?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2014, pp. 3214?3221.

B.  Maco, Cantoni, M., Holtmaat, A., Kreshuk, A., Hamprecht, F. A., and Knott, G. W., ?Semiautomated Correlative 3D Electron Microscopy of In Vivo Imaged Axons and Dendrites?, Nature Protocols, vol. 9, pp. 1354-1366, 2014.

B.  Goldlücke, Aubry, M., Kolev, K., and Cremers, D., ?A super-resolution framework for high-accuracy multiview reconstruction?, Int. J. Comp. Vision, vol. 106, p. 172--191, 2014.

B.  Maco, Holtmaat, A., Cantoni, M., Kreshuk, A., Straehle, C. N., Hamprecht, F. A., and Knott, G. W., ?Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons?, PloS one, vol. 8 (2), 2013.

D.  Lefloch, Nair, R., Lenzen, F., Schäfer, H., Streeter, L., and Cree, M. J., ?Technical Foundation and Calibration Methods for Time-of-Flight Cameras?, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8200.

D.  Lefloch, Nair, R., Lenzen, F., Schäfer, H., Streeter, L., Cree, M. J., Koch, R., and Kolb, A., ?Technical Foundation and Calibration Methods for Time-of-Flight Cameras?, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 3-24, 2013.

B.  Goldlücke, Strekalovskiy, E., and Cremers, D., ?Tight convex relaxations for vector-valued labeling?, SIAM Journal on Imaging Sciences, 2013.

P.  Yarlagadda, Monroy, A., Carque, B., and Ommer, B., ?Towards a Computer-based Understanding of Medieval Images?, in Scientific Computing & Cultural Heritage, Springer, 2013, p. 89--97.

J.  Funke, Andres, B., Hamprecht, F. A., Cardona, A., and Cook, M., ?Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data?, CVPR 2012. Proceedings, pp. 1004-1011, 2012.

B.  Goldlücke, Strekalovskiy, E., and Cremers, D., ?The Natural Vectorial Total Variation which Arises from GeometricMeasure Theory?, SIAM Journal on Imaging Sciences, vol. 5, pp. 537-563, 2012.

B.  Goldlücke, Strekalovskiy, E., and Cremers, D., ?The natural vectorial total variation which arises from geometric measure theory?, SIAM Journal on Imaging Sciences, 2012.

A.  Kreshuk, Straehle, C. N., Sommer, C., Köthe, U., Cantoni, M., Knott, G. W., and Hamprecht, F. A., ?Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images?, PLoS ONE, vol. 6 (10), 2011.

F. O.  Kaster, Weber, M. - A., and Hamprecht, F. A., ?Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations?, in LNCS, 2011, vol. LNCS 6533, pp. 74-85.

J.  Schlecht, Carque, B., and Ommer, B., ?Detecting Gestures in Medieval Images?, in Proceedings of the International Conference on Image Processing, 2011, p. 1309--1312.

E.  Töppe, Oswald, M. R., Cremers, D., and Rother, C., ?Image-based 3D modeling via cheeger sets?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6492 LNCS, pp. 53?64.

A.  Monroy, Carque, B., and Ommer, B., ?Reconstructing the Drawing Process of Reproductions from Medieval Images?, in Proceedings of the International Conference on Image Processing, 2011, p. 2974--2977.

P.  Yarlagadda, Monroy, A., Carque, B., and Ommer, B., ?Top-down Analysis of Low-level Object Relatedness Leading to Semantic Understanding of Medieval Image Collections?, in Conference on Computer Vision and Image Analysis of Art II, 2011, vol. 7869, p. 61--69.

V.  Gulshan, Rother, C., Criminisi, A., Blake, A., and Zisserman, A., ?Geodesic star convexity for interactive image segmentation?, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pp. 3129?3136.

Z.  Lin, Erz, M., and Jähne, B., ?Multi-frequency multi-sampling fluorescence lifetime imaging using a high-speed line-scan camera?, in Optics, Photonics, and Digital Technologies for Multimedia Applications, 12--15 April 2010, Brussels, 2010, vol. 7723, p. 77231S.

R.  Chellappa and Machinery., Afor Comput, ?Proceedings - 7th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2010?, ACM International Conference Proceeding Series. ACM, 2010.

P.  Yarlagadda, Monroy, A., Carque, B., and Ommer, B., ?Recognition and Analysis of Objects in Medieval Images?, in Proceedins of the Aian Conference on Computer Vision, Workshop on e-Heritage, 2010, p. 296--305.

A.  Berthe, Kondermann, D., Christensen, C., Goubergrits, L., Garbe, C. S., Affeld, K., and Kertzscher, U., ?Three-dimensional, three-component wall-PIV?, Exp. Fluids, vol. 48, p. online, 2010.

A.  Shesh, Criminisi, A., Rother, C., and Smyth, G., ?3D-aware image editing for out of bounds photography?, in Proceedings - Graphics Interface, 2009, pp. 47?54.

S. V. E.  Keränen, DePace, A., Hendriks, C. L. Luengo, Fowlkes, C., Arbelaez, P., Ommer, B., Brox, T., Henriquez, C., Wunderlich, Z., Eckenrode, K., Fischer, B., Hammonds, A., and Celniker, S. E., ?Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species?, in Evolution-The Molecular Landscape, 2009.

D.  Breitenreicher and Schnörr, C., ?Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence?, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.

D.  Breitenreicher and Schnörr, C., ?Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence?, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.

J.  Shotton, Winn, J., Rother, C., and Criminisi, A., ?TextonBoost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context?, International Journal of Computer Vision, vol. 81, pp. 2?23, 2009.

P.  Yarlagadda, Monroy, A., Carque, B., and Ommer, B., ?Towards a Computer-based Understanding of Medieval Images?, in Scientific Computing & Cultural Heritage, 2009, p. 89--97.

O.  Friedrich, Weber, C., Both, M., von Wegner, F., Chamberlain, J. S., Garbe, C. S., and Fink, R. H. A., ?Sarcomere Structure and Motor-Protein Function in an Animal Model of Duchenne Muscular Dystrophy (mdx mouse)?, in 87th Annual Meeting of the German Physiological Society, 2008.

A.  Criminisi, Blake, A., Rother, C., Shotton, J., and Torr, P. H. S., ?Efficient dense stereo with occlusions for new view-synthesis by four-state dynamic programming?, International Journal of Computer Vision, vol. 71, pp. 89?110, 2007.

A.  Blake, Criminisi, A., Cross, G., Kolmogorov, V., and Rother, C., ?Fusion of stereo, colour and contrast?, Springer Tracts in Advanced Robotics, vol. 28, 2007.

J. François Lalonde, Hoiem, D., Efros, A. A., Rother, C., Winn, J., and Criminisi, A., ?Photo clip art?, in Proceedings of the ACM SIGGRAPH Conference on Computer Graphics, 2007.

M. F.  Carlsohn, Menze, B. H., Kelm, B. Michael, Hamprecht, F. A., Kercek, A., Leitner, R., and Polder, G., ?Color image processing?, vol. 7(17), R.  Lukac and Plataniotis, K. N., Eds. CRC Press, 2006, pp. 393-419.

D.  Cremers, Sochen, N., and Schnörr, C., ?Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation?, ijcv, vol. 66, pp. 67-81, 2006.

V.  Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C., ?Probabilistic fusion of stereo with color and contrast for bilayer segmentation?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 1480?1492, 2006.

J.  Shotton, Winn, J., Rother, C., and Criminisi, A., ?TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3951 LNCS, pp. 1?15.

V.  Kolmogorov, Criminisi, A., Blake, A., Cross, G., and Rother, C., ?Bi-layer segmentation of binocular stereo video?, in Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, 2005, vol. II, pp. 407?414.

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.

M.  Bergtholdt, Cremers, D., and Schnörr, C., ?Variational Segmentation with Shape Priors?, Handbook of Mathematical Models in Computer Vision. Springer, pp. 147-160, 2005.

A.  Criminisi, Shotton, J., Blake, A., and Torr, P., ?Efficient dense stereo and novel-view synthesis for gaze manipulation in one-to-one teleconferencing?, 2004.

D.  Cremers, Sochen, N., and Schnörr, C., ?Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation?, in Computer Vision ? ECCV 2004, 2004, vol. 3024, pp. 74-86.

J.  Keuchel, Schnörr, C., Schellewald, C., and Cremers, D., ?Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming?, vol. 25, pp. 1364?1379, 2003.

M. C.  Scholes, Matrai, P. A., Andreae, M. O., Smith, K. A., Manning, M. R., Artaxo, P., Barrie, L. A., Bates, T. S., Butler, J. H., Ciccioli, P., Cieslik, S. A., Delmas, R. J., and Dentener, F. J., ?Biosphere-Atmosphere Interactions?, Atmospheric Chemistry in a Changing World, An Integration and Synthesis of a Decade of Tropospheric Chemistry Research. Springer, p. 19--71, 2003.

F. A.  Hamprecht and Agrell, E., ?Exploring a space of materials: spatial sampling design and subset selection?, Experimental Design for Combinatorial and High Throughput Materials Development. Wiley, 2003.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Shape Statistics in Kernel Space for Variational Image Segmentation?, Pattern Recognition, vol. 36, p. 1929--1943, 2003.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Shape Statistics in Kernel Space for Variational Image Segmentation?, Pattern Recognition, vol. 36, pp. 1929?1943, 2003.

D.  Cremers and Schnörr, C., ?Statistical Shape Knowledge in Variational Motion Segmentation?, Image and Vision Comp., vol. 21, pp. 77-86, 2003.

D.  Cremers, Sochen, N., and Schnörr, C., ?Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling?, in Scale Space Methods in Computer Vision, 2003, vol. 2695, p. 388--400.

D.  Cremers, Sochen, N., and Schnörr, C., ?Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling?, in Scale Space Methods in Computer Vision, 2003, vol. 2695, pp. 388?400.

D.  Cremers, Tischhäuser, F., Weickert, J., and Schnörr, C., ?Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford?Shah functional?, Int. J. Computer Vision, vol. 50, pp. 295?313, 2002.

A.  Cavallo, ?Four dimensional particle tracking in biological dynamic processes?. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2002.

C.  Rother and Carlsson, S., ?Linear multi view reconstruction and camera recovery using a reference plane?, International Journal of Computer Vision, vol. 49, pp. 117?141, 2002.

C.  Rother and Carlsson, S., ?Linear multi view reconstruction with missing data?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2002, vol. 2351, pp. 209?324.

D.  Cremers and Schnörr, C., ?Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization?, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 472?480.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics in Mumford-Shah Based Segmentation?, in Computer Vision -- ECCV 2002), 2002, vol. 2351, p. 93--108.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics in Mumford-Shah Based Segmentation?, in Computer Vision ? ECCV 2002), 2002, vol. 2351, pp. 93?108.

C.  Rother, Carlsson, S., and Tell, D., ?Projective factorization of planes and cameras in multiple views?, in Proceedings - International Conference on Pattern Recognition, 2002, vol. 16, pp. 737?740.

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.

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.

D.  Cremers, Schnörr, C., and Weickert, J., ?Diffusion?Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework?, in IEEE First Workshop on Variational and Level Set Methods in Computer Vision, Vancouver, Canada, 2001, pp. 237?244.

M.  Heiler, Cremers, D., and Schnörr, C., ?Efficient Feature Subset Selection for Support Vector Machines?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 21/2001, 2001.

C.  Rother and Carlsson, S., ?Linear multi view reconstruction and camera recovery?, in Proceedings of the IEEE International Conference on Computer Vision, 2001, vol. 1, pp. 42?49.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics via Kernel Spaces?, in Mustererkennung 2001, 2001, vol. 2191, p. 269--276.

D.  Cremers, Kohlberger, T., and Schnörr, C., ?Nonlinear Shape Statistics via Kernel Spaces?, in Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 269?276.

F. A.  Hamprecht, Jost, D., Rüttimann, M., Calamai, F., and Kowalski, J. J., ?Preliminary results on the prediction of countershock success with fibrillation power?, Resuscitation, vol. 50, pp. 297-299, 2001.

D.  Cremers, Schnörr, C., Weickert, J., and Schellewald, C., ?Diffusion Snakes Using Statistical Shape Knowledge?, in Proc. Algebraic Frames for the Perception-Action Cycle, Kiel, 2000, vol. 1888, pp. 164?174.

D.  Cremers, Schnörr, C., Weickert, J., and Schellewald, C., ?Learning Translation Invariant Shape Knowledge for Steering Diffusion-Snakes?, in 3rd Workshop on Dynamic Perception, Berlin, Germany, 2000, vol. 9, pp. 117?122.

F. A.  Hamprecht, Cohen, A. J., Tozer, D. J., and Handy, N. C., ?Development and assessment of new exchange-correlation functionals?, Journal of Chemical Physics, vol. 109, pp. 6264-6271, 1998.

H.  Carstens, ?Ein Skalenraumverfahren zur Orts/Wellenzahl-Raum-Analyse winderzeugter Wasserwellen?, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.

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.

J. A. M.  Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., ?The VIERS scatterometer algorithm?, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 749--754.

C.  Schnörr, Niemann, H., and Kopecz, J., ?Architekturkonzepte zur Bildauswertung?, in Grundlagen und Anwendungen der Künstlichen Intelligenz, 17. Fachtagung für Künstliche Intelligenz, Berlin, 1993, pp. 268?274.

J. A. M.  Janssen, Calkoen, C. J., van Halsema, D., Jähne, B., Janssen, P. A. E. M., Oost, W. A., Snoeij, P., Vogelzang, J., and Wallbrink, H., ?The VIERS scatterometer algorithm?, in Proc. The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1993, p. 749--754.

D.  van Halsema, Calkoen, C. J., Oost, W. A., Snoeij, P., Vogelzang, J., and Jähne, B., ?Comparisons of backscattering calculations with measurements made in a large wind/wave flume?, in Proc. IGARSS'92, 1992, vol. 2, p. 1451--1453.

P.  Snoeij, van Halsema, D., Oost, W. A., Calkoen, C. J., Jähne, B., and Vogelzang, J., ?Microwave backscatter measurements made from the Dutch Ocean Research Tower 'Noordwijk' compared with model predictions?, in Proc. IGARSS'92, 1992.

P.  Snoeij, van Halsema, D., Oost, W. A., Calkoen, C. J., Vogelzang, J., and Jähne, B., ?Comparison of microwave backscatter measurements and small-scale surface wave measurements made from the Dutch ocean research tower 'Noordwijk'?, in Proceedings IGARSS '91, 1991, vol. 3, p. 1289--1292.

D.  van Halsema, Calkoen, C. J., Oost, W. A., Snoeij, P., Vogelzang, J., and Jähne, B., ?Dual-polarized scatterometer measurements of wind and mechanically generated waves in a very large wind/wave flume, the VIERS-1 project?, in Proc.\ 5th Int. Coll. Physical Measurements and Signatures in Remote Sensing, Courchevel, France, 1991, vol. ESA SP-319, p. 247--252.

B.  Jähne and Jähne, B., ?Evaluation of a two-scale model using extensive radar backscatter and wave measurements in a large wind-wave flume?, in Proceedings IGARSS '91, 1991, vol. 2, p. 885--888.

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