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A. Mansfield, Gehler, P., Van Gool, L., and Rother, C., “Scene carving: Scene consistent image retargeting”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, vol. 6311 LNCS, pp. 143–156.

S. Mann, “Objektbasierte Bildfolgenanalyse zur Bewegungsbestimmung im in vitro Motility Assay unter Verwendung eines Strukturtensorverfahrens”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.

M. Maiß, “Modelluntersuchung zum Einfluss von Blasen auf den Gasaustausch zwischen Atmosphäre und Meer”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1986.

L. Maier-Hein, Franz, A. M., Fangerau, M., Schmidt, M., Seitel, A., Mersmann, S., Kilgus, T., Groch, A., Yung, K., Santos, T. R. dos, and Meinzer, H. - P., “Towards mobile augmented reality for on-patient visualization of medical images”, in Bildverarbeitung für die Medizin (2011), 2011, p. 389--393.

L. Maier-Hein, Schmidt, M., Franz, A. M., Santos, T. R. dos, Seitel, A., Jähne, B., Fitzpatrick, J. M., and Meinzer, H. - P., “Accounting for anisotropic noise in fine registration of time-of-flight range data with high-resolution surface data”, in Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010), 2010, vol. 6361, p. 251--258.

L. Maier-Hein, Mersmann, S., Kondermann, D., Bodenstedt, S., Sanchez, A., Stock, C., Kenngott, H., Eisenmann, M., and Speidel, S., “Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images”, in MICCAI, 2014.

L. Maier-Hein, Mersmann, S., Kondermann, D., Stock, C., Kenngott, H., Sanchez, A., Wagner, M., Preukschas, A., Wekerle, A. - L., Helfert, S., Bodenstedt, S., and Speidel, S., “Crowdsourcing for reference correspondence generation in endoscopic images”, in MICCAI, 2014.

C. Maier, “Aufbau einer aktiven Bildnachführung zur Visualisierung von Wasserströmungen mit Tracerteilchen”, University of Heidelberg, 1995.

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.

Technical Report (2.01 MB)

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.

Technical Report (2.13 MB)

R. Mackowiak, Lenz, P., Ghori, O., Diego, F., Lange, O., and Rother, C., “CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation”, in British Machine Vision Conference 2018, BMVC 2018, 2019.

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G. -hung Lu, Tsai, W. -ting, and Jähne, B., “Decomposing infrared images of wind waves for quantitative separation into characteristic flow processes”, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 8304–8316, 2019.

X. Lou, “Biomedical Data Analysis with Prior Knowledge: Modeling and Learning”. University of Heidelberg, 2011.

X. Lou, Fiaschi, L., Köthe, U., and Hamprecht, F. A., “Quality Classification of Microscopic Imagery with Weakly Supervised Learning”, MICCAI-MLMI. Proceedings, pp. 176-183, 2012.

Technical Report (4.15 MB)

X. Lou and Hamprecht, F. A., “Structured Learning for Cell Tracking”, in NIPS 2011. Proceedings, 2011, pp. 1296-1304.

Technical Report (1.41 MB)

X. Lou and Hamprecht, F. A., “Structured Learning from Partial Annotations”, ICML 2012. Proceedings, 2012.

Technical Report (843.45 KB)

X. Lou, Kaster, F. O., Lindner, M., Kausler, B. X., Köthe, U., Höckendorf, B., Wittbrodt, J., Jänicke, H., and Hamprecht, F. A., “DELTR: Digital Embryo Lineage Tree Reconstructor”, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI). Proceedings, 2011, pp. 1557-1560.

Technical Report (1.44 MB)

X. Lou, Kirchner, M., Renard, B. Y., Köthe, U., Graf, C., Lee, C., Steen, J. A. J., Steen, H., Mayer, M. P., and Hamprecht, F. A., “Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments”, Bioinformatics, vol. 26(12), pp. 1535-1541, 2010.

Technical Report (518.01 KB)

X. Lou, Kloft, M., Rätsch, G., and Hamprecht, F. A., “Structured Learning from Cheap Data”, Advanced Structured Prediction. The MIT Press, 2014.

Technical Report (8.35 MB)

X. Lou, Schiegg, M., and Hamprecht, F. A., “Active Structured Learning for Cell Tracking: Algorithm, Framework and Usability”, IEEE Transactions on Medical Imaging, vol. 33 (4), pp. 849-860, 2014.

Technical Report (6.84 MB)

X. Lou and Hamprecht, F. A., “Learning to Segment Dense Cell Nuclei with Shape Prior”, CVPR 2012. Proceedings, pp. 1012-1018, 2012.

Technical Report (2.66 MB)

D. Lorenz, Bereska, L., Milbich, T., and Ommer, B., “Unsupervised Part-Based Disentangling of Object Shape and Appearance”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral + Best paper finalist: top 45 / 5160 submissions), 2019.

S. R. Long and Klinke, J., “A closer look at short waves generated by wave interactions with adverse currents”, in Gas Transfer at Water Surfaces, 2002, vol. 127, p. 121--128.

U. Lode, “Tiefenrekonstruktion vertikaler Konzentrationsprofile in der wasserseitigen Grenzschicht mittels spektroskopischer laserinduzierter Fluoreszenz (LIF)”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.

P. S. Liss, Watson, A. J., Bock, E. J., Jähne, B., Asher, W. E., Frew, N. M., Hasse, L., Korenowski, G. M., Merlivat, L., Phillips, L. F., Schlüssel, P., and Woolf, D. K., “Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases”, The Sea Surface and Global Change. Cambridge University Press, p. 1--33, 1997.

M. Lindner, “A Machine Learning Approach to Improve Digital Embryo Analysis”, University of Heidelberg, 2011.

R. Lindner, Lou, X., Reinstein, J., Shoeman, R. L., Hamprecht, F. A., and Winkler, A., “Hexicon 2: Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation”, Journal of The American Society for Mass Spectrometry, vol. 25, pp. 1018-1028, 2014.

Technical Report (2.1 MB)

Z. Lin, “Structure Tensor Calculation Using FPGA”, HCI Heidelberg, 2012.

Z. Lin, “Fluorescence Lifetime Imaging Camera: Image Analysis, Optimization and Enhancement”, vol. Dissertation. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2012.

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.

A. Lifermann, Jähne, B., and Ramamonjiarisoa, A., “Une ètude en soufflerie de la rèflexion des hyperfrèquences par des champs de houles et de vagues”, Oceanologia Acta, vol. SP, p. 15--22, 1987.

H. R. Lietmeyer, “Entwicklung eines videometrischen Verfahrens zur Messung der Wellenhöhe von Wasseroberflächenwellen”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1991.

A. Liefermann, Ramamonjiarisoa, A., and Jähne, B., “Wind tunnel investigation of the characterization of radar backscattering by different wave fields”, in Third International Colloquium Spectral Signatures of Objects in Remote Sensing, 1985, vol. 1, p. 137--140.

M. P. Lichy, Bachert, P., Hamprecht, F. A., Weber, M. - A., Debus, J., Schulz-Ertner, D., Kauczor, H. - U., and Schlemmer, H. - P., “Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren”, Zeitung für Röntgenforschung, vol. 178, pp. 627-633, 2006.

P. Libner, “Die Konstantflußmethode: Ein neuartiges, schnelles und lokales Meßverfahren zur Untersuchung von Austauschvorgängen an der Luft-Wasser Phasengrenze”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1987.

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