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Erz, M and Jähne, B (2009). Radiometric and spectrometric calibrations, and distance noise measurement of TOF cameras. 3rd Workshop on Dynamic 3-D Imaging. Springer. 5742 28--41
Haußecker, H and Jähne, B (2000). Radiation and illumination. Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press. 11--52
Haußecker, H, Jähne, B, Geißler, P and Haußecker, H (1999). Radiation. Handbook of Computer Vision and Applications. Academic Press. 1: Sensors and Imaging 7--35
Barron, J L and Spies, H (2000). Quantitative regularized range flow. Vision Interface. 203--210
Leue, C, Wenig, M, Jähne, B and Platt, U (1998). Quantitative observation of biomass-burning plumes from GOME. ESA Publications EOQ. 58 33--35.
Wierzimok, D and Hering, F (1993). Quantitative imaging of transport in fluids with digital particle tracking velocimetry. Imaging in Transport Processes. Begell House Publishers. 297--308.,36adf33e6f249361.html
Andres, B, Köthe, U, Bonea, A, Nadler, B and Hamprecht, F A (2009). Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times. Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings. Springer. 5748 502-511PDF icon Technical Report (3.08 MB)
Schmund, D, Stitt, M, Jähne, B and Schurr, U (1998). Quantitative analysis of the local rates of growth of dicot leaves at a high temporal and spatial resolution, using image sequence analysis. Plant Journal. 16 505--514
Leue, C, Wenig, M, Wagner, T, Klimm, O, Platt, U and Jähne, B (2001). Quantitative analysis of NO$_x$ emissions from Global Ozone Monitoring Experiment satellite image sequences. J. Geophys. Res. 106 5493--5505
Leue, C (1999). Quantitative Analyse von NOx - Emissionen aus GOME Satellitenbildfolgen. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Kassemeyer, S (2009). Quantification Of Tumour Angiogenesis Using Pattern Recognition. University of Heidelberg
König, (2007). Quality Control In Mass Spectrometry. University of Heidelberg
Lou, X, Fiaschi, L, Köthe, U and Hamprecht, F A (2012). Quality Classification of Microscopic Imagery with Weakly Supervised Learning. MICCAI-MLMI. Proceedings. 176-183PDF icon Technical Report (4.15 MB)
Blom, A H M, Brassel, J - O, von Brocke, M and Mittler, M (1999). Quality classification and process control of micro-spot laser welding. Proceedings of the Ninth International FAIM Conference - Flexible Automation and Intelligent Manufacturing, Tilburg. Begell House. 929--941
Sieg, S, Stutz, B, Schmidt, T, Hamprecht, F A and Maier, W F (2006). A QCAR-approach to materials modelling. Journal of Molecular Modeling. 12 611-619PDF icon Technical Report (343.11 KB)
Heck, D (2004). Proximity Graphs For Nonlinear Dimension Reduction. University of Heidelberg
Schiegg, M, Heuer, B, Haubold, C, Wolf, S, Köthe, U and Hamprecht, F A (2015). Proof-reading Guidance in Cell Tracking by Sampling from Tracking-by-assignment Models. ISBI. Proceedings. 394-398PDF icon Technical Report (648.55 KB)
Görlitz, L, Menze, B H, Kelm, B M and Hamprecht, F A (2009). Processing Spectral Data. Surface and Interface Analysis. 41 636-644PDF icon Technical Report (4.17 MB)
Trittler, S (2007). Processing of Interferometric Data. University of Heidelberg
Schellewald, C and Schnörr, C (2005). Probabilistic Subgraph Matching Based on Convex Relaxation. Proc.~Int.~Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05). Springer. 3757 171-186
Rathke, F, Schmidt, S and Schnörr, C (2014). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Medical Image Analysis. 18 781-794PDF icon Technical Report (4.07 MB)
Rathke, F, Schmidt, S and Schnörr, C (2014). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Med. Image Anal. 18 781–794
Andres, B, Kappes, J H, Beier, T, Köthe, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. Proceedings of ICCVPDF icon Technical Report (2.95 MB)
Andres, B, Kappes, J H, Beier, T, Köthe, U and Hamprecht, F A (2011). Probabilistic Image Segmentation with Closedness Constraints. ICCV, Proceedings. 2611 - 2618PDF icon Technical Report (8.18 MB)
Rathke, F (2015). Probabilistic Graphical Models for Medical Image Segmentation. University Heidelberg
Kappes, J H, Swoboda, P, Savchynskyy, B, Hazan, T and Schnörr, C (2015). Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. Proc.~SSVM. SpringerPDF icon Technical Report (1.1 MB)
Hehn, T (2017). A Probabilistic Approach To Learn Complex Differentiable Split Functions In Decision Trees Using Gradient Ascent. Heidelberg University
Geese, M, Ruhnau, P and Jähne, B (2013). PRNU and DSNU Maximum Likelihood Estimation Using Sensor Statistics. tm --- Technisches Messen. 80 321--328
Weber, S, Schüle, T and Schnörr, C (2005). Prior Learning and Convex-Concave Regularization of Binary Tomography. Electr.~Notes in Discr.~Math. 20 313-327
Jähne, (2008). Prinzipien und Verfahren zur Aufnahme spektraler Bilddaten - Vereinfachte Bildanalyse. QZ. 53 45--48
Jähne, B, Scharr, H, Körkel, S, Jähne, B, Haußecker, H and Geißler, P (1999). Principles of Filter Design. Handbook of Computer Vision and Applications. Academic Press. 2 125--151
Jäger, M and Hamprecht, F A (2008). Principal Component Imagery for the Quality Monitoring of Dynamic Laser Welding Processes. IEEE Transactions on Industrial Electronics. 56:4 1307-1313
Detert, M, Jirka, G H, Jehle, M, Klar, M, Jähne, B, Köhler, H - J and Wenka, T (2004). Pressure fluctuations within subsurface gravel bed caused by turbulent open-channel flow. Proc. of River Flow 2004. A. A. Balkema Publishers. 695-701
Hamprecht, F A, Jost, D, Rüttimann, M, Calamai, F and Kowalski, J J (2001). Preliminary results on the prediction of countershock success with fibrillation power. Resuscitation. 50 297-299
Jähne, (1997). Practical Handbook On Image Processing For Scientific Applications. CRC-Press, Boca Raton, FL, USA