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B. H. Menze and Hamprecht, F. A., “Multimodal Medical Image Analysis: from Visualization to Disease Modeling”, Zeitschrift für Med. Physik, vol. 1, pp. 1-2, 2010.PDF icon Technical Report (481.58 KB)
B. H. Menze, Kelm, B. Michael, and Hamprecht, F. A., “From eigenspots to fisherspots -- latent spaces in the nonlinear detection of spot patterns in a highly variable background”, in Advances in data analysis, 2007, vol. 33, pp. 255-262.PDF icon Technical Report (248.87 KB)
B. H. Menze, Kelm, B. Michael, Heck, D., Lichy, M. P., and Hamprecht, F. A., “Machine-based rejection of low quality spectra and estimation of brain tumor probabilities from magnetic resonance spectroscopic images”, in Bildverarbeitung für die Medizin, 2006, pp. 31-36.PDF icon Technical Report (672.84 KB)
B. H. Menze, Kelm, B. Michael, Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., and Hamprecht, F. A., “A Comparison of Random Forest and its Gini Importance with Standard Chemometric Methods for the Feature Selection and Classification of Spectral Data”, BMC Bioinformatics, vol. 10:213, 2009.PDF icon Technical Report (675 KB)
B. H. Menze, Kelm, B. Michael, Weber, M. - A., Bachert, P., and Hamprecht, F. A., “Mimicking the human expert: pattern recognition for an automated assessment of data quality in MRSI”, Magnetic Resonance in Medicine, vol. 59, pp. 1457-1466, 2008.PDF icon Technical Report (1.45 MB)
B. H. Menze, Lichy, M. P., Bachert, P., Kelm, B. Michael, Schlemmer, H. P., and Hamprecht, F. A., “Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor”, NMR in Biomedicine, vol. 19, pp. 599-609, 2006.PDF icon Technical Report (289.77 KB)
B. H. Menze, Muehl, S., and Sherratt, A. G., “Virtual Survey on North Mesopotamian Tell Sites by Means of Satellite Remote Sensing”, in Broadening Horizons: Multidisciplinary Approaches to Landscape Study, 2007, pp. 5-29.PDF icon Technical Report (1.2 MB)
B. H. Menze, Petrich, W., and Hamprecht, F. A., “Multivariate feature selection and hierarchical classification for infrared spectroscopy: serum-based detection of bovine spongiform encephalopathy”, Analytical and Bioanalytical Chemistry, vol. 387, pp. 1801-1807, 2007.PDF icon Technical Report (283.47 KB)
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.PDF icon Technical Report (920.71 KB)
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.PDF icon Technical Report (643.89 KB)
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.PDF icon Technical Report (2.53 MB)
B. H. Menze, Wormit, M., Bachert, P., Lichy, M. P., Schlemmer, H. - P., and Hamprecht, F. A., “Classification of in vivo magnetic resonance spectra”, in Classification in ubiquitous challenge: Proceedings of the GfKl 2004, 2004, pp. 362-369.PDF icon Technical Report (240.1 KB)
B. H. Menze, “Klassifikation von Magnetresonanzspektren”, University of Heidelberg, 2004.
S. Meister, “On Creating Reference Data for Performance Analysis in Image Processing”. University of Heidelberg, 2013.
S. Meister, “A Study on Ground Truth Generation for Optical Flow”, University of Heidelberg, 2010.
S. Meister, Izadi, S., Kohli, P., Hämmerle, M., Rother, C., and Kondermann, D., “When Can We Use KinectFusion for Ground Truth Acquisition?”, in Workshop on Color-Depth Camera Fusion in Robotics, IEEE International Conference on Intelligent Robots and Systems, 2012.
S. Meister, Jähne, B., and Kondermann, D., “Outdoor Stereo Camera System for the Generation of Real-World Benchmark Data Sets”, Optical Engineering, vol. 51, pp. 021107-1, 2012.
S. Meister, Nair, R., and Kondermann, D., “Simulation of Time-of-Flight Sensors using Global Illumination”, in Vision, Modeling and Visualization (VMV), 2013 International Workshop on. Proceedings, 2013, pp. 33-40.
S. Meister, Jähne, B., and Kondermann, D., “Outdoor stereo camera system for the generation of real-world benchmark data sets”, Opt. Eng., vol. 51, p. 021107, 2012.
S. Meister, “On Creating Reference Data for Performance Analysis in Image Processing”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2014.
S. Meister, Izadi, S., Kohli, P., and M Hämmerle, M. \, “When can we use KinectFusion for ground truth acquisition?”, Proc Workshop on \ldots, pp. 3–8, 2012.
S. Nicolas Ro Meister, “On Creating Reference Data for Performance Analysis in Image Processing”, vol. Dissertation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2014.
H. Meine, Köthe, U., and Stelldinger, P., “Pixel Approximation Errors in Common Watershed Algorithms”, in Discrete Geometry for Computer Imagery, 2009, vol. 5810, pp. 193-202.PDF icon Technical Report (6.5 MB)
H. Meine, Köthe, U., and Stelldinger, P., “A Topological Sampling Theorem for Robust Boundary Reconstruction and Image Segmentation”, Discrete Applied Mathematics, vol. 157, pp. 524-541, 2008.
H. Meine, Köthe, U., and Stelldinger, P., “Pixel Approximation Errors in Common Watershed Algorithms”, in Discrete Geometry for Computer Imagery, 2009, vol. 5810, pp. 193-202.
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.PDF icon Technical Report (924.57 KB)
K. Mbock, “A Novel Algorithm for Motion Estimation with Explicit Consideration of Perturbations”, University of Heidelberg, 2009.
P. Márquez-Valle, Gil, D., Hernàndez-Sabaté, A., and Kondermann, D., “When is a confidence measure good enough?”, submitted to CVPR 2013, 2013.
H. Jürgen Mayer, “Entwicklung einer laserinduzierten Fluoreszenz-Technik zum Messen von Konzentrationsprofilen und Diffusionskonstanten”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 1995.
D. Massiceti, Krull, A., Brachmann, E., Rother, C., and Torr, P. H. S., “Random Forests versus Neural Networks − What's best for camera location”. 2017.
M. Marxen, “Particle Image Velocimetry in Strömungen mit starken Geschwindigkeitsgradienten”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.
M. Marxen, Sullivan, P. E., Loewen, M. R., and Jähne, B., “Comparison of Gaussian particle center estimators and the achievable measurement density for particle tracking velocimetry”, Exp. Fluids, vol. 29, pp. 145-153, 2000.
P. Márquez-Neila, Kohli, P., Rother, C., and Baumela, L., “Non-parametric higher-order random fields for image segmentation”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8694 LNCS, pp. 269–284.
P. Markowsky, Reith, S., Zuber, T. E., König, R., Rohr, K., and Schnörr, C., “Segmentation of cell structure using model-based set covering with iterative reweighting”, in Proc. ISBI, 2017.
A. Mansfield, Gehler, P., Van Gool, L., and Rother, C., “Visibility maps for improving seam carving”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, vol. 6554 LNCS, pp. 131–144.

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