Publications

im Druck

  • Korolev, Y. und Lellmann, J.: Image reconstruction with imperfect forward models and applications in deblurring: , University of Luebeck, Preprint, no. arXiv:1708.01244, 2017
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2017

  • Rühaak, J., Polzin, T., Heldmann, S., Simpson, I. J. A., Handels, H., Modersitzki, J., und Heinrich, M. P.: Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. IEEE Transactions on Medical Imaging, vol. 36, no. 8, pp. 1746-1757, 2017
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  • Sandmann, C. M.: Dynamic Models and Coupling in Medical 4D Imaging. , Institute of Mathematics and Image Computing, University of Lübeck, 2017
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  • Vogt, T. und Lellmann, J.: An Optimal Transport-Based Restoration Method for Q-Ball Imaging. Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings, Lauze, F., Dong, Y., und Dahl, A. B. (Ed.), Springer International Publishing, pp. 271-282, 2017
    BibTeX DOI PDF Poster Abstract

2016

  • Sandmann, C., Hodneland, E., und Modersitzki, J.: A practical guideline for T1 reconstruction from various flip angles in MRI. Journal of Algorithms & Computational Technology, vol. 10, no. 4, pp. 213-223, 2016
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  • Polzin, T., Niethammer, M., Heinrich, M. P., Handels, H., und Modersitzki, J.: Memory Efficient LDDMM for Lung CT. Medical Image Computing and Computer-Assisted Intervention 2016, Ourselin, S., Joskowicz, L., Sabuncu, M. R., Unal, G., und Wells, W. (Ed.), Springer, pp. 28-36, 2016
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  • König, L., Derksen, A., Papenberg, N., und Haas, B.: Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints. Radiation Oncology, vol. 11, no. 1, , 2016
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  • Lotz, J. M., Hoffmann, F., Lotz, J., Heldmann, S., Trede, D., Oetjen, J., Becker, M., Ernst, G., Maas, P., Alexandrov, T., Guntinas-Lichius, O., Thiele, H., und von Eggeling, F.: Integration of 3D multimodal imaging data of a head and neck cancer and advanced feature recognition. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, 2016
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  • Stützer, K., Haase, R., Lohaus, F., Barczyk, S., Exner, F., Löck, S., Rühaak, J., Lassen-Schmidt, B., Corr, D., und Richter, C.: Evaluation of a deformable registration algorithm for subsequent lung computed tomography imaging during radiochemotherapy. Medical Physics, vol. 43, no. 9, pp. 5028-5039, 2016
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  • Laude, E., Möllenhoff, T., Möller, M., Lellmann, J., und Cremers, D.: Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies. Europ. Conf. Comp. Vision, 2016
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  • Derksen, A., König, L., Meine, H., und Heldmann, S.: A Joint Registration and Segmentation Approach for Large Bladder Deformations in Adaptive Radiotherapy. Medical Physics: Proceedings of the AAPM 58th annual meeting, Washington, DC, vol. 43, no. 6, pp. 3429-3429, 2016
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  • Lee, J., Cai, X., Lellmann, J., Dalponte, M., Malhi, Y., Butt, N., Morecroft, M., Schönlieb, C., und Coomes, D.: Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA. Appl. Earth Obs. Remote Sensing, 2016, In Press.
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  • Derksen, A., König, L., und Meine, H.: An Alternating Image Registration Approach for Large Scale Bladder Deformations in Radiation Therapy. 18th International Conference on the use of Computers in Radiation Therapy (ICCR), London, 2016
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  • Möllenhoff, T., Laude, E., Möller, M., Lellmann, J., und Cremers, D.: Sublabel-Accurate Relaxation of Nonconvex Energies. Proc. IEEE Conf. Comp. Vis. Patt. Recogn., 2016
    Award Best Paper Honorable Mention at CVPR 2016
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  • Rühaak, J., König, L., Tramnitzke, F., Köstler, H., und Modersitzki, J.: A Matrix-Free Approach to Efficient Affine-Linear Image Registration on CPU and GPU. Journal of Real-Time Image Processing, 2016
    BibTeX Website PDF Abstract

2015

  • Lotz, J., Olesch, J., Müller, B., Polzin, T., Galuschka, P., Lotz, J. M., Heldmann, S., Laue, H., Warth, A., Lahrmann, B., Grabe, N., Sedlaczek, O., Breuhahn, K., und Modersitzki, J.: Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images. IEEE Transactions on Biomedical Engineering, vol. 63, no. 9, pp. 1812-1819, 2015
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  • Lellmann, J., Papafitsoros, K., Schönlieb, C., und Spector, D.: Analysis and Application of a non-local Hessian. SIAM Journal on Imaging Sciences, vol. 8, no. 4, pp. 2161-2202, 2015
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  • Luca, V. D., Benz, T., Kondo, S., König, L., Lübke, D., Rothlübbers, S., Somphone, O., Allaire, S., Bell, M. A. L., F, D. Y., Cifor, A., Grozea, C., Günther, M., Jenne, J., Kipshagen, T., Kowarschik, M., Navab, N., Rühaak, J., Schwaab, J., und Tanner, C.: The 2014 liver ultrasound tracking benchmark. Physics in Medicine and Biology, vol. 60, no. 14, , 2015
    BibTeX Website Abstract
  • Heldmann, S., Polzin, T., Derksen, A., und Berkels, B.: An Image Registration Framework for Sliding Motion with Piecewise Smooth Deformations. Scale Space and Variational Methods in Computer Vision, Aujol, J., Nikolova, M., und Papadakis, N. (Ed.), Springer International, Lège-Cap Ferret, France, Lecture Notes in Computer Science, vol. 9087, pp. 335-347, May/June 2015
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  • Chen, K., Derksen, A., Heldmann, S., Hallmann, M., und Berkels, B.: Deformable Image Registration with Automatic Non-Correspondence Detection. Scale Space and Variational Methods in Computer Vision: 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings, Aujol, J., Nikolova, M., und Papadakis, N. (Ed.), Springer International Publishing, Cham, pp. 360-371, 2015
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  • Pompe, E., van Rikxoort, E. M., Schmidt, M., Rühaak, J., Estrella, L. G., Vliegenthart, R., Oudkerk, M., de Koning, H. J., van Ginneken, B., de Jong, P. A., Lammers, J. J., und Hoesein, F. A. A. M.: Parametric Response Mapping Adds Value to Current Computed Tomography Biomarkers in Diagnosing Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine, vol. 191, no. 9, pp. 1084-1086, 2015
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  • König, L., Derksen, A., Heldmann, S., Papenberg, N., Modersitzki, J., und Haas, B.: Deformable image registration with guaranteed local rigidity. Radiotherapy and Oncology: Proceedings of the 3rd ESTRO Forum, Barcelona, vol. 115, pp. S197-S198, 2015
    BibTeX DOI
  • König, L., Derksen, A., Hallmann, M., und Papenberg, N.: Parallel and Memory Efficient Multimodal Image Registration for Radiotherapy using Normalized Gradient Fields. IEEE International Symposium on Biomedical Imaging: From Nano to Macro, New York City, USA, April 2015
    BibTeX Website PDF Abstract
  • Chen, K. und Derksen, A.: A Variational Method for Contructing Unbiased Atlas with Probabilistic Label Maps. Workshop: Bildverarbeitung für die Medizin, 2015
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  • Papenberg, N., König, L., Heldmann, S., Derksen, A., Modersitzki, J., und Haas, B.: A Locally Variable Transformation Model for Deformable Image Registration Using Tissue Properties. Varian Research Partnership Symposium, Atlanta, Georgia, USA, March 2015
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  • Weiss, N., Lotz, J., und Modersitzki, J.: Multimodal Image Registration in Digital Pathology Using Cell Nuclei Densities. Bildverarbeitung für die Medizin 2015, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck, Handels, H., Deserno, T. M., Meinzer, H., und Tolxdorff, T. (Ed.), Springer Vieweg, Berlin, Heidelberg, , mar, 2015
    Award Best scientific contribution at BVM 2015
    BibTeX DOI
  • Derksen, A., Heldmann, S., Polzin, T., und Berkels, B.: Image registration with sliding motion constraints for 4D CT motion correction. Bildverarbeitung für die Medizin 2015, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck, Handels, H., Deserno, T. M., Meinzer, H., und Tolxdorff, T. (Ed.), Springer, Berlin, Heidelberg, Informatik aktuell, pp. 335-340, March, 2015
    BibTeX Website Abstract
  • Kappes, J., Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., und Rother, C.: A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. Int.~J.~Comp.~Vis, 2015, (online first)
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  • Wang, L., Strehlow, J., Rühaak, J., Diez, Y., Diekmann, S., Laue, H., und Hahn, H. K.: A fast alignment method for breast MRI follow-up studies using automated breast segmentation and current-prior registration. SPIE Medical Imaging 2015: Image Processing, Orlando, Florida, USA, February 2015
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  • Rühaak, J., Derksen, A., Heldmann, S., Hallmann, M., und Meine, H.: Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study. SPIE Medical Imaging 2015: Image Processing, Orlando, Florida, USA, February 2015
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  • Modersitzki, J., Heldmann, S., und N. Papenberg, .: Nonlinear Registration Via Displacement Fields ,: Brain Mapping ,, Toga, A. W. ,. (Ed.), Academic Press,, Waltham,, 2015,
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2014

  • Berg, R., König, L., Rühaak, J., Lausen, R., und Fischer, B.: Highly Efficient Image Registration for Embedded Systems Using a Distributed Multicore DSP Architecture. Journal of Real-Time Image Processing, November 2014
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  • Chen, K., Heldmann, S., Rühaak, J., und Hallmann, M.: Construction of Average STN Atlas using Image Registration and Reconstruction. Proc. MICCAI 2014 Workshop on Deep Brain Stimulation Methodological Challenges - 2nd Edition, Boston, USA, September 2014
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  • Polzin, T., Rühaak, J., Werner, R., Handels, H., und Modersitzki, J.: Lung Registration using Automatically Detected Landmarks. Methods of Information in Medicine, vol. 53, pp. 250-256, 2014
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  • König, L., Kipshagen, T., und Rühaak, J.: A Non-Linear Image Registration Scheme for Real-Time Liver Ultrasound Tracking using Normalized Gradient Fields. Proc. MICCAI Challenge on Liver Ultrasound Tracking (CLUST 2014), Boston, USA, pp. 29-36, September 2014
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  • Tramnitzke, F., Rühaak, J., König, L., Modersitzki, J., und Köstler, H.: GPU Based Affine Linear Image Registration using Normalized Gradient Fields. Proc. Seventh International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI), Boston, USA, September 2014
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  • Bronsert, P., Enderle-Ammour, K., Bader, M., Timme, S., Kuehs, M., Csanadi, A., Kayser, G., Kohler, I., Bausch, D., Hoeppner, J., Hopt, U., Keck, T., Stickeler, E., Passlick, B., Schilling, O., Reiss, C., Vashist, Y., Brabletz, T., Berger, J., Lotz, J., Olesch, J., Werner, M., und Wellner, U.: Cancer cell invasion and EMT marker expression - a three-dimensional study of the human cancer-host interface -. The Journal of Pathology, 2014
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  • Haase, R., Lohaus, F., Rühaak, J., Straaten, D. v., Zöphel, K., und Richter, C.: Einfluss deformierbarer Bildregistrierung von PET/CT-Verlaufsdaten auf die Signalwerte innerhalb einer Kontur: Deformation auf Konturen oder Bilddaten anwenden?. Proceedings of 20. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO), Düsseldorf, 2014
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  • Georgii, J., Bartscherer, T., Degel, C., Fonfara, H., Hewener, H., Kipshagen, T., Kocev, B., Lotz, J., Ojdanic, D., Olesch, J., Rothlübbers, S., Speicher, D., Tretbar, S., Hahn, H., und Günther, M.: Improving Breast Biopsies by Motion Tracking. Proc. of Image-Guided Interventions. Proc. of Image-Guided Interventions (IGIC), pp. 79-80, 2014
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  • Lotz, J., Berger, J., Thiele, H., Olesch, J., Müller, B., Breuhahn, K., Warth, A., Grabe, N., Lahrmann, B., Sedlaczek, O., und Heldmann, S.: Elastic image registration on whole slide images for digital double staining and 3D reconstruction. Poster Submission at the European Molecular Imaging Meeting - EMIM, 2014
    BibTeX Website Poster
  • König, L. und Rühaak, J.: A Fast and Accurate Parallel Algorithm for Non-Linear Image Registration using Normalized Gradient Fields. IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Beijing, China, April 2014
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  • Olesch, J.: Bildregistrierung für die navigierte Chirurgie. Springer Vieweg, Aktuelle Forschung Medizintechnik, 2014
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  • Sorrentino, S., Peperhove, M., Kaireit, T., Rühaak, J., Strehlow, J., Wacker, F., Vogel-Claussen, J., und Shin, H.: Entwicklung eines virtuellen 2D-Herz-Phantoms für die Berechnung regionaler myokardialer Wandbewegung mittels nicht-rigider Bildregistrierung. Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, vol. 186, no. S 01, , 2014
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  • Beuthien, B.: Restringierte Medizinische Bildregistrierung. , Institute of Mathematics and Image Computing, University of Lübeck, 2014
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  • Lotz, J., Berger, J., Müller, B., Breuhahn, K., Grabe, N., Heldmann, S., Homeyer, A., Lahrmann, B., Laue, H., Olesch, J., Schwier, M., Sedlaczek, O., und Warth, A.: Zooming in: High Resolution 3D Reconstruction of Differently Stained Histological Whole Slide Images. SPIE Medical Imaging, pp. 904104-1-7, 2014
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  • Heck, C., Ruthotto, L., Modersitzki, J., und Berkels, B.: Model-based parameter estimation in DCE-MRI without an Arterial Input Function. BVM 2014, Bildverarbeitung für die Medizin 2014
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  • Trull, A. K., Berkels, B., und Modersitzki, J.: Glomerular Filtration Rate Estimation from Dynamic Contrast-Enhanced MRI using a Separable Compartment Model and Parameter Elimination. BVM 2014, Bildverarbeitung für die Medizin 2014, pp. 30-35
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  • Trede, D., Bartels, A., Schiffler, S., Oetjen, J., Becker, M., Aichler, M., Lieb, F., Steinhorst, K., Berger, J., Heldmann, S., Thiele, H., Walch, A., Maass, P., und Alexandrov, T.: A spatially-aware highly-sensitive peak picking method for MALDI-imaging: , 2014, Poster Submission at 47. Jahrestagung der Deutschen Gesellschaft für Massenspektrometrie, Frankfurt am Main
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  • Thiele, H., Heldmann, S., Trede, D., Strehlow, J., Wirtz, S., Dreher, W., Berger, J., Oetjen, J., Kobarg, J. H., Fischer, B., und thers, .: 2D and 3D MALDI-imaging: conceptual strategies for visualization and data mining. Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics, vol. 1844, no. 1, pp. 117-137, 2014
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2013

  • Kainmüller, D.: Deformable Meshes for Accurate Automatic Segmentation of Medical Image Data. , Universität zu Lübeck, 2013
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  • Olesch, J.: Bildregistrierung für die navigierte Chirurgie. , Institute of Medical Informatics, University of Lübeck, 2013
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  • Berger, J., Lotz, J., Olesch, J., Breuhahn, M. S., Müller, B., Warth, A., Grabe, N., Lahrmann, B., und Sedlaczek, O.: Virtual Double Staining Using Elastic Image Registration: , 2013, Poster Submission at Pathology Visions, San Antonio
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  • Polzin, T., Rühaak, J., Werner, R., Strehlow, J., Heldmann, S., Handels, H., und Modersitzki, J.: Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration. Proc. Fifth International MICCAI Workshop on Pulmonary Image Analysis (PIA 2013), Nagoya, Japan, September 2013
    BibTeX Abstract
  • Polzin, T., Rühaak, J., Werner, R., Handels, H., und Modersitzki, J.: Lung Registration using Automatically Detected Landmarks. GMDS 2013: 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V., Lübeck, Germany, September 2013
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  • Mueller, B., Olesch, J., Lotz, J., Barendt, S., Sedlaczek, O., Lahrmann, B., Grabe, N., Bestvater, F., Kauczor, U., Schnabel, P. A., Hoffmann, H., Fischer, B., Schirmacher, P., Warth, A., und Breuhahn, K.: 3D reconstruction of lung adenocarcinomas—one module for the development of mathematical multiscale models of lung cancer: Abstracts of the 97th Annual Meeting of the German Society of Pathology. May 23-26, 2013. Heidelberg. Germany. Der Pathologe, Springer-Verlag, may, 2013
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  • Lotz, J., Fischer, B., Olesch, J., und Günther, M.: Real time motion analysis in 4D medical imaging using conditional density propagation. SPIE Medical Imaging 2015: Image Processing, vol. 8669, pp. 86690T-86690T-7, 2013
    BibTeX DOI Website PDF Abstract
  • Rühaak, J., König, L., Hallmann, M., Papenberg, N., Heldmann, S., Schumacher, H., und Fischer, B.: A Fully Parallel Algorithm for Multimodal Image Registration Using Normalized Gradient Fields. IEEE International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, California, USA, April 2013
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  • König, L., Papenberg, N., Haas, B., und Modersitzki, J.: Deformable Registration for Adaptive Radiotherapy with Guaranteed Local Rigidity Constraints. Varian Research Partnership Symposium, Atlanta, Georgia, USA, March 2013
    BibTeX Poster
  • Ruthotto, L., Mohammadi, S., Heck, C., Modersitzki, J., und Weiskopf, N.: Hyperelastic Susceptibility Artifact Correction of DTI in SPM: Bildverarbeitung für die Medizin 2013, Meinzer, H., Deserno, T. M., Handels, H., und Tolxdorff, T. (Ed.), Springer Berlin Heidelberg, 2013
    Award 1st Price for Best Presentation at BVM 2013
    BibTeX DOI Website
  • Rühaak, J., Heldmann, S., Kipshagen, T., und Fischer, B.: Highly Accurate Fast Lung CT Registration. SPIE Medical Imaging 2013: Image Processing, Lake Buena Vista, Florida, USA, February 2013
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  • Burger, M., Modersitzki, J., und Ruthotto, L.: A hyperelastic regularization energy for image registration. SIAM Journal on Scientific Computing, vol. 35, no. 1, pp. B132-B148, 2013
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  • Peter, T. und Plonka, G.: A Generalized Prony Method for Reconstruction of Sparse Sums of Eigenfunctions of Linear Operators. (revised preprint as download). Inverse Problems, vol. 29, no. 2, January 2013
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  • Barendt, S. und Modersitzki, J.: A variational model for SPECT reconstruction with a nonlinearly transformed attenuation prototype. International Journal of Computer Mathematics, vol. 90, no. 1, pp. 82-91, 2013
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  • Oetjen, J., Aichler, M., Trede, D., Strehlow, J., Berger, J., Heldmann, S., Becker, M., Gottschalk, M., Kobarg, J. H., Wirtz, S., Schiffler, S., Thiele, H., Walch, A., Maass, P., und Alexandrov, T.: MRI-compatible pipeline for three-dimensional MALDI imaging mass spectrometry using PAXgene fixation. Journal of Proteomics, vol. 90, pp. 52-60, 2013
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  • Thiele, H., Heldmann, S., Trede, D., Strehlow, J., Wirtz, S., Dreher, W., Berger, J., Oetjen, J., Kobarg, J. H., Fischer, B., und Maass, P.: 2D and 3D MALDI-imaging: Conceptual strategies for visualization and data mining. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, 2013
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2012

  • Gigengack, F., Ruthotto, L., Kösters, T., Jiang, X., Modersitzki, J., Burger, M., Wolters, C., und Schäfers, K.: Pipeline for Motion Correction in Dual Gated PET. Nuclear Science Symposium and Medical Imaging Confereence (NSS/MIC), 2012 IEEE, pp. 2983-2984, 2012
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  • Ruthotto, L.: Hyperelastic Image Registration - Theory, Numerical Methods, and Applications. , Fachbereich Mathematik und Informatik, Westfälische Wilhelms-Universität Münster, 2012
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  • Gigengack, F., Ruthotto, L., Jiang, X., Modersitzki, ., Burger, M., Hermann, S., und Schäfers, K. P.: Atlas-Based Whole-Body PET-CT Segmentation using a Passive Contour Distance. Proceedings of the MICCAI Workshop on Medical Computer Vision 2012, Springer LNCS, pp. 1-10, 2012
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  • Ruthotto, L., Kugel, H., Olesch, J., Fischer, B., Modersitzki, J., Burger, M., und Wolters, C.: Diffeomorphic Susceptibility Artefact Correction of Diffusion-Weighted Magnetic Resonance Images. Physics in Medicine and Biology, vol. 57, pp. 5715-5731, 2012
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  • Ruthotto, L., Hodneland, E., und Modersitzki, J.: Registration of Dynamic Contrast Enhanced MRI with Local Rigidity Constraint. , 2012
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  • Barendt, S. und Modersitzki, J.: SPECT Reconstruction with a Transformed Attenuation Prototype at Multiple Levels. Bildverarbeitung für die Medizin 2012, Springer, pp. 352-357, 2012
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  • Ruthotto, L., Gigengack, F., Burger, M., Wolters, C., Jiang, X., Schäfers, K., und Modersitzki, J.: A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET. Bildverarbeitung für die Medizin 2012, Springer, 2012
    Award 1st Price for Best Scientific Contribution at BVM 2012
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  • Strehlow, J., Rühaak, J., Kluck, C., und Fischer, B.: Effiziente Verpunktung pulmonaler MR-Bilder zur Evaluierung von Registrierungsergebnissen. Bildverarbeitung für die Medizin 2012, Springer, Informatik aktuell, pp. 219-224, 2012
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  • Gigengack, F., Ruthotto, L., Burger, M., Jiang, X., Wolters, C. H., und Schäfers, K. P.: Motion Correction in Dual Gated Cardiac PET using Mass-Preserving Image Registration. IEEE Transactions on Medical Imaging, vol. 31, pp. 698-712, 2012
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  • Rühaak, J. und Heldmann, S.: Variational Lung Registration with Explicit Boundary Alignment: , February 2012
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  • Trede, D., Schiffler, S., Becker, M., Wirtz, S., Steinhorst, K., Strehlow, J., Aichler, M., Kobarg, J. H., Oetjen, J., Heldmann, S., Walch, A., Thiele, H., Maass, P., und Alexandrov, T.: Exploring 3D MALDI imaging mass spectrometry data: 3D spatial segmentation of mouse kidney. Analytical Chemistry, vol. 84(14), pp. 6079-87, 2012
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  • Thiele, H., Heldmann, S., und Fischer, B.: 3D Visualisierung von Organismen. Proceedings der INFORMATIK 2012, Goltz, U., Magnor, M., Appelrath, H., Matthies, H., Balke, W., und Wolf, L. (Ed.), Gesellschaft für Informatik, Bonn, GI-Editon Lecture Notes in Informatics, vol. 208, pp. 1535-1545, 2012
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2011

  • Lange, T.: Modeling Prior Knowledge for Image Registration in Liver Surgery. , Institute of Mathematics and Image Computing, University of Lübeck, 2011
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  • Göbel, B.: Mathematische Modellierung des menschlichen Energiestoffwechsels: Die zentrale Rolle des Gehirns. , Institute of Mathematics and Image Computing, University of Lübeck, 2011
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  • Gigengack, F., Ruthotto, L., Burger, M., Wolters, C., Jiang, X., und Schafers, K.: Mass-preserving motion correction of PET: Displacement field vs. spline transformation. Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE, pp. 3088-3090, 2011
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  • Rühaak, J., Heldmann, S., und Fischer, B.: Improving Lung Registration by Incorporating Anatomical Knowledge: A Variational Approach. Proc. Fourth International MICCAI Workshop on Pulmonary Image Analysis (PULMO 2011), Toronto, Canada, September 2011
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  • Hamer, J., Kleine, M., Barendt, S., Krajewski, J., Konitzer, J., Gáspár, E., Meller, B., Knobloch, J., Russlies, M., Buchmann, I., Barkhausen, J., Modersitzki, J., Ebel, G., und Buzug, T. M.: Molecular Imaging of Inflammations at Implant Interfaces (M4I) - Part of Molecular Imaging North Competence Center (MOIN CC). Biomed Tech, vol. 56, 2011
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  • Chung, M. und Göbel, B.: Mathematical Modeling of the Human Energy Metabolism based on the Selfish Brain Theory. Advances in Systems Biology, Springer, vol. (in press), 2011
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  • Chung, M., Göbel, B., Peters, A., Oltmanns, K., und Moser, A.: Mathematical modeling of the biphasic dopaminergic response to glucose. J Biomed Sci Eng, vol. 4, pp. 136-145, 2011
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  • Göbel, B. und Langemann, D.: Systemic investigation of a brain-centered model of the human energy metabolism. Theory Biosci, vol. 130, no. 1, pp. 5-18, 2011
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  • Moltz, J. H., Braunewell, S., Rühaak, J., Heckel, F., Barbieri, S., Tautz, L., Hahn, H. K., und Peitgen, H.: Analysis of Variability in Manual Liver Tumor Delineation in CT Scans. 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, Illinois, USA, March 2011
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  • Zimmer, V., Papenberg, N., Modersitzki, J., und Fischer, B.: Bildregistrierung zur Verbrennungsanalyse. Bildverarbeitung für die Medizin 2011, Handels, H. (Ed.), Springer, pp. 159-163, 2011
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  • Barendt, S. und Modersitzki, J.: SPECT Reconstruction with a Nonlinear Transformed Attenuation Prototype. Bildverarbeitung für die Medizin, Informatik aktuell, 2011
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  • Olesch, J. und Fischer, B.: Focussed registration of tracked 2D US to 3D CT data of the liver. Bildverarbeitung für die Medizin, Informatik aktuell, 2011
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  • Olesch, J., Beuthien, B., Heldmann, S., Papenberg, N., und Fischer, B.: Fast intra-operative nonlinear registration of 3D-CT to tracked, selected 2D-ultrasound slices. SPIE Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, Lake Buena Vista, Florida, USA, February 2011
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  • Moltz, J. H., Rühaak, J., Hahn, H. K., und Peitgen, H.: A Novel Adaptive Scoring System for Segmentation Validation with Multiple Reference Masks. SPIE Medical Imaging 2011: Image Processing, Lake Buena Vista, Florida, USA, February 2011
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2010

  • Heldmann, S., Beuthien, B., Olesch, J., Papenberg, N., und Fischer, B.: Improved Minimal-Invasive Laparoscopic Liver Surgery by Registration of 3D CT and 2D Ultrasound Slices. BMT 2010 - FAL-Sessions, Hot-Topic Sessions, Projektsessions (BMT 2010 - FAL-Sessions - Hot-Topic Sessions - Projektsessions), Rostock, Germany, 2010
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  • Moltz, J. H., Rühaak, J., Engel, C., Kayser, U., und Peitgen, H.: Validation of Liver Tumor Segmentation in CT Scans by Relating Manual and Algorithmic Performance - A Preliminary Study. Proc. MICCAI Workshop on Computational Imaging Biomarkers for Tumors - From Qualitative to Quantitative (CIBT 2010), Beijing, China, September 2010
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  • Ihsani, A., Modersitzki, J., und Farncombe, T.: A Fully Automated Approach to Segmentation and Registration of 3D Medical Image Data for Pulmonary Diagnosis. Proceedings of the 3rd Workshop on Pulmonary Image Analysis, 2010, Beijing, pp. 97-109, 2010
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  • Fischer, B., Dawant, B. M., und Lorenz, C.: Biomedical Image Registration, 4th International Workshop, WBIR 2010. Springer, vol. 6204, Lecture Notes in Computer Science, 2010
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  • Göbel, B., Langemann, D., Oltmanns, K. M., und Chung, M.: Compact Energy Metabolism Model: Brain Controlled Energy Supply. Journal of Theoretical Biology, vol. 264, pp. 1214-1224, 2010
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  • Beuthien, B., Papenberg, B., Heldmann, S., und Fischer, B.: Volume-constrained image registration for pre- and post-operative CT liver data. SPIE Medical Imaging, San Diego, California, USA, February 2010
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  • Olesch, J., Ruthotto, L., Kugel, H., Skare, S., Fischer, B., und Wolters, C. H.: A Variational Approach for the Correction of Field-inhomogeneities in EPI Sequences. , Dawant, B. M. und Haynor, D. R. (Ed.), SPIE, vol. 7623, no. 1, , 2010
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  • Beuthien, B., Kamen, A., und Fischer, B.: Recursive Green`s Function Registration. Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2010
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  • Haber, E., Horesh, R., und Modersitzki, J.: Numerical Methods for Constrained Image Registration. Numerical Linear Algebra with Applications, vol. 17, no. 2-3, pp. 343-359, 2010
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  • Pöschl, C., Modersitzki, J., und Scherzer, O.: A Variational Setting for Volume Constrained Image Registration. Inverse Problems and Imaging, vol. X, no. 2-3, pp. 1-18, 2010
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  • Ruppertshofen, H., Kabus, S., und Fischer, B.: Tensor Grid Based Image Registration with Application to Ventilation Estimation on 4D CT Lung Data. International Journal of Computer Assisted Radiology and Surgery, 2010
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  • Heldmann, S.: Multimodal Registration of MR Images with a Novel Least-squares Distance Measure: Medical Imaging 2010: Image Processing, SPIE, February 2010
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  • Ens, K.: Kombinierte Segmentierung und Registrierung. , Institute of Mathematics, University of Lübeck, 2010
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  • Papenberg, N., Schumacher, H., Heldmann, S., Böhler, T., van Straaten, D., und Wirtz, S.: Multimodale Registrierung von Knochen-Szintigraphien und Röntgenbildern. Bildverarbeitung für die Medizin, pp. 335-339, 2010
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2009

  • Modersitzki, J.: FAIR: Flexible Algorithms for Image Registration. SIAM, Philadelphia, 2009
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  • Peshko, O., Modersitzki, J., Terlaky, T., Menard, C., Craig, T., und Moseley, D.: Automatic localization and tracking of fiducial markers for organ motion analysis in image-guided radiation therapy. , Proceedings of the SPIE 2010, Medical Imaging, pp. 1-4, (Submitted)
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  • Haber, E., Heldmann, S., und Modersitzki, J.: A Scale-Space Approach to Landmark Constrained Image Registration. Proceedings of the Second International Conference on Scale Space Methods and Variational Methods in Computer Vision (SSVM), Springer LNCS, pp. 1-12, 2009
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  • Ens, K., Wenzel, F., Young, S., , ., Modersitzki, J., und Fischer, B.: Design of a Synthetic Database for the Validation of Non-linear Registration and Segmentation of MR Brain Images. Proceedings of the SPIE 2009, Medical Imaging, Pluim, J. und Dawant, B. (Ed.), SPIE, vol. 7259, 725933, 2009
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  • Barendt, S., Fischer, B., und Modersitzki, J.: A Kernel Representation for Exponential Splines with Global Tension. Proceedings of the SPIE 2009, Image Processing: Algorithms and Systems VII, San Jose, Astola, J. T., Egiazarian, K. O., Nasrabadi, N. M., und Rizvi, S. A. (Ed.), SPIE, vol. 7245, no. 1, , 2009, Accepted for publication
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  • Haber, E., Heldmann, S., und Modersitzki, J.: A Framework for Image-Based Constrained Registration with an Application to Local Rigidity. Linear Algebra and its Applications, vol. 431, pp. 459-470, 2009
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  • Pöschel, C., Modersitzki, J., und Scherzer, O.: A Variational Settingfor Volume Constrained Image Registration: , Joint Research Program of Industrial Geometry, February 2009
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  • Lange, T., Papenberg, N., Heldmann, S., Modersitzki, J., Fischer, B., und Schlag, P. M.: 3D Ultrasound-CT Alignment of the Liver using Combined Landmark-Intensity Registration. International Journal of Computer Assisted Radiology and Surgery, vol. 4, no. 1, pp. 79-88, 2009
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  • Heldmann, S. und Papenberg, N.: A Variational Approach for Volume-to-Slice Registration. , vol. 5567, pp. 624-635, 2009
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  • Heldmann, S. und Zidowitz, S.: Elastic Registration of Multiphase CT Images of Liver: SPIE Medical Imaging 2009: Image Processing, SPIE, March 2009
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  • Heldmann, S. und Papenberg, N.: A Scale-Space Approach for Image Registration of Vessel Structures: Bildverarbeitung für die Medizin, Springer, 2009
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  • Papenberg, N., Olesch, J., Lange, T., Schlag, P. M., und Fischer, B.: Landmark Constrained Non-parametric Image Registration with Isotropic Tolerances. Bildverarbeitung für die Medizin, Meinzer, H., Deserno, T. M., Handels, H., und Tolxdorff, T. (Ed.), Springer, Informatik aktuell, pp. 122-126, 2009
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  • Lange, T., Papenberg, N., Olesch, J., Fischer, B., und Schlag, P. M.: Landmark Constrained Non-rigid Image Registration with Anisotropic Tolerances. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, Dössel, O. und Schlegel, W. C. (Ed.), Springer, IFMBE Proceedings, vol. 25/IV, pp. 2238-2241, 2009
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  • Olesch, J., Papenberg, N., Lange, T., Conrad, M., und Fischer, B.: Matching CT and Ultrasound Data of the Liver by Landmark Constrained Image Registration. , Miga, M. I. und Wong, K. H. (Ed.), SPIE, vol. 7261,72610G, 2009
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  • Schumacher, H., Modersitzki, J., und Fischer, B.: Combined Reconstruction and Motion Correction in SPECT Imaging. IEEE Transactions on Nuclear Science, vol. 56, pp. 73-80, 2009
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  • Ens, K., Heldmann, S., Modersitzki, J., und Fischer, B.: Improving a Registration and/or Segmentation Task by Incorporating Characteristics of the Displacement Field. Proceedings of the SPIE 2009, Medical Imaging, Fitzpatrick, J. und Sonka, M. (Ed.), SPIE, vol. 5370, pp. 304-313, 2009
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  • Schumacher, H., Modersitzki, J., und Fischer, B.: Reconstruction and motion correction in SPECT imaging - a combined approach. Proceedings of the 12th Korea-Germany joint workshop on Advanced Medical Image Processing, Munich, pp. 32 -41, 2009
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  • Ruppertshofen, H., Kabus, S., und Fischer, B.: Image Registration using Tensor Grids for Lung Ventilation Studies: Bildverarbeitung für die Medizin 2009, Meinzer, H., Deserno, T., Handels, H., und Tolxdoff, T. (Ed.), Springer, 2009
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  • Ens, K., Wenzel, F., und Fischer, B.: Verbesserung der Symmetrie von Hirnaufnahmen entlang der Sagittalebene: Bildverarbeitung für die Medizin 2009, Meinzer, H., Deserno, T., Handels, H., und Tolxdoff, T. (Ed.), Springer Berlin/ Heidelberg, 2009
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  • Conrad, M., Hubold, C., Fischer, B., und Peters, A.: Modeling the Hypothalamus-Pituitary-Adrenal System: Homeostasis by Interacting Positive and Negative Feedback. Journal of Biological Physics, vol. 35, no. 2, pp. 149 - 162, 2009
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  • Schumacher, H.: Bewegungskorrektur in SPECT-Aufnahmen. , Institute of Mathematics, University of Lübeck, 2009
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  • Wirtz, S.: Registrierung von histologischen Schnitten. , Institute of Mathematics, University of Lübeck, 2009
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2008

  • Saering, D.: Segmentierung und Interpolation von 4D-MRT-Bildsequenzen zur Funktionsanalyse des linken Ventrikels. , Institute of Mathematics and Image Computing, University of Lübeck, 2008
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  • Papenberg, N.: Ein genereller Registrierungsansatz mit Anwendung in der navigierten Leberchirurgie. , Institute of Mathematics, University of Lübeck, 2008
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  • Haber, E., Heldmann, S., und Modersitzki, J.: Adaptive Mesh Refinement for Nonparametric Image Registration. SIAM Journal on Scientific Computing, pp. 3012-3027, 2008
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  • Fischer, B., Haber, E., und Moderstitzki, J.: Mathematics Meets Medicine, an Optimal Alignment. SIAG/OPT Views and News, pp. 1-7, 2008
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  • Moderstitzki, J. und Fischer, B.: Ill-posed Medicine‚ an Introduction to Image Registration. Inverse Problems, pp. 1-19, 2008
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  • Lange, T., Papenberg, N., Heldmann, S., Modersitzki, J., Fischer, B., und Schlag, P. M.: 3D Ultrasound-CT Alignment of the Liver using Combined Landmark-Intensity Registration. Internationnal Conference on Computer Assisted Radiology and Surgery 2008 (CARS `08), 2008
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  • Papenberg, N., Modersitzki, J., und Fischer, B.: Registrierung im Fokus: , Tolxdoff, T., Braun, J., Deserno, T., Handels, H., Horsch, A., und Meinzer, H. (Ed.), Springer Berlin / Heidelberg, 2008
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  • Papenberg, N., Lange, T., Modersitzki, J., Schlag, P. M., und Fischer, B.: Image Registration for CT and Intra-operative Ultrasound Data of the Liver: Medical Imaging 2008: Image Processing, Miga, M. und Cleary, K. (Ed.), SPIE, 2008
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  • Schumacher, H., Heldmann, S., Haber, E., und Fischer, B.: Iterative Reconstruction of SPECT Images using Adaptive Multil-Level Refinement. Bildverarbeitung für die Medizin 2008, Tolxdoff, T., Braun, J., Deserno, T., Handels, H., Horsch, A., und Meinzer, H. (Ed.), Springer, Informatik aktuell, pp. 318 - 323, 2008
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  • Ens, K., von Berg, J., Kabus, S., Lorenz, C., und Fischer, B.: A Unified Framework for Joint Registration and Segmentation: Medical Imaging 2008: Image Processing, Pluim, J. und Reinhardt, J. (Ed.), 2008
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  • Kabus, S., Müller, F., Wiemker, R., und Fischer, B.: Robust Lung Nodule Growth Measurement by Combining Registration and Segmentation: The First International Workshop on Pulmonary Image Analysis, MICCAI, Brown, M., Bruijne, M. d., Ginneken, B. v., Kiraly, A., Kuhnigk, J., Lorenz, C., Mori, K., und Reinhardt, J. (Ed.), 2008
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  • Ens, K., von Berg, J., und Bernd, F.: A Communication Term for the Combined Registration and Segmentation: ECIFMBE 2008- IFMBE Proceedings, Sloten, J. V., Verdonck, P., Nyssen, M., und Haueisen, J. (Ed.), IFMBE Proceedings, 2008
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  • Ludwig, M., Koch, J., und Fischer, B.: An Application of the Finite Volume Method to the Bio-heat-transfer-equation in Premature Infants. ETNA, vol. 28, pp. 136-148, 2008
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2007

  • Modersitzki, J.: FLIRT with Rigidity‚Image Registration with a Local Non-rigidity Penalty. International Journal of Computer Vision, pp. 153-163, 2008
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  • Haber, E. und Modersitzki, J.: Cofir: Coarse and Fine Image Registration. SIAM Real-Time PDE-Constrained Optimization, pp. 37-49, 2007
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  • Modersitzki, J.: Image Registration with Local Rigidity Constraints: , A. Horsch, T. D. H. H. H. M. und Tolxdoff, T. (Ed.), Springer Berlin/ Heidelberg, 2007
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  • Papenberg, N., Schumacher, H., Heldmann, S., Wirtz, S., Bommersheim, S., Ens, K., Modersitzki, J., und Fischer, B.: A Fast and Flexible Image Registration Toolbox: Design and Implementation of the General Approach: , Horsch, A., Deserno, T., Handels, H., Meinzer, H., und Tolxdoff, T. (Ed.), Springer Berlin/ Heidelberg, 2007
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  • Schumacher, H., Modersitzki, J., und Fischer, B.: Combined Reconstruction and Motion Correction in SPECT Imaging: , Institute of Mathematics, University of Lübeck, Germany, Preprint A-07-04, 2007, Accepted for publication in the SPIE Proceedings on Medical Imaging
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  • Barendt, S., Fischer, B., und Modersitzki, J.: Ein Numerisches Verfahren zur Kalibrierung von Gammakameras: , Horsch, A., Deserno, T., Handels, H., Meinzer, H., und Tolxdoff, T. (Ed.), Springer Berlin / Heidelberg, 2007
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  • Schmitt, O., Modersitzki, J., Heldmann, S., Wirtz, S., und Fischer, B.: Image Registration of Sectioned Brains. International Journal of Computer Vision, pp. 5-39, 2007
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  • Haber, E. und Modersitzki, J.: Intensity Gradient Based Registration and Fusion of Multi-modal Images. Methods of Information in Medicine, Schattauer Verlag, Stuttgart, pp. 292-299, 2007
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  • Haber, E., Heldmann, S., und Modersitzki, J.: An OcTree Method for Parametric Image Registration. SIAM Journal on Scientific Computing, vol. 29, no. 5, pp. 2008-2023, 2007
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  • Haber, E. und Heldmann, S.: An OcTree Multigrid Method for Quasi-Static Maxwell’s Equations with Highly Discontinuous Coefficients. Journal of Computational Physics, pp. 783-796, 2007
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  • Haber, E., Heldmann, S., und Ascher, U.: Adaptive Finite Volume Method for Distributed Non-smooth Parameter Identification. Inverse Problems, pp. 1659-1676, 2007
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  • Röhl, E., Schumacher, H., und Fischer, B.: Automatic Detection of Abrupt Patient Motion in SPECT Data Acquisition: Medical Imaging 2007: Image Processing, Pluim, J. und Reinhardt, J. (Ed.), SPIE, 2007
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  • Ens, K., Schumacher, H., Franz, A., und Fischer, B.: Improved Elastic Medical Image Registration Using Mutual Information: Medical Imaging 2007: Image Processing, Pluim, J. und Reinhardt, J. (Ed.), SPIE, 2007
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  • Peters, A., Conrad, M., Hubold, C., Schweiger, U., Fischer, B., und Fehm, H. L.: The Principle of Homeostasis in the Hypothalamus-Pituitary-Adrenal System: New Insight from Positive Feedback. Am J Physiol Regulatory Integrative Comp Physiol, vol. 293, pp. 83-98, 2007
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  • Schumacher, H. und Fischer, B.: A New Flexible Reconstruction Framework for Motion Correction in SPECT Imaging. IEEE Transactions on Nuclear Science, vol. 54, pp. 480-485, 2007
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  • Kabus, S., Franz, A., und Fischer, B.: Spatially Varying Elasticity in Image Registration. Methods of Information in Medicine, vol. 46, no. 3, pp. 287-291, 2007
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  • Kabus, S., Franz, A., und Fischer, B.: Variational Image Registration Allowing for Discontinuities in the Displacement Field: Image Processing Based on Partial Differential Equations, Tai, X., Lie, K., Chan, T., und Osher, S. (Ed.), Springer, 2007
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  • Schumacher, H. und Fischer, B.: A new Approach for Motion Correction in SPECT Imaging: Bildverarbeitung für die Medizin 2007, Horsch, A., Deserno, T., Handels, H., Meinzer, H., und Tolxdoff, T. (Ed.), Springer, 2007
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  • Schumacher, H., Ens, K., Franz, A., und Fischer, B.: Wahl eines gewichteten Distanzmaßes für monomodale Bilder in der nicht- parametrischen Registrierung: Bildverarbeitung für die Medizin 2007, Horsch, A., Deserno, T., Handels, H., Meinzer, H., und Tolxdoff, T. (Ed.), Springer, 2007
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2006

  • Haber, E. und Modersitzki, J.: Intensity Gradient Based Registration and Fusion of Multi-modal Images. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006, Barillot, C., Haynor, D., und Hellier, P. (Ed.), Springer LNCS, vol. 3216, pp. 591-598, 2006
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  • Fischer, B. und Modersitzki, J.: Image Fusion and Registration - a Variational Approach. Computational Science and High Performance Computing II, Krause, E., Shokin, Y., Resch, M., und Shokina, N. (Ed.), Springer, Notes on Numerical Fluid Mechanics and Multidisciplinatory Design, 91, vol. 91, pp. 193-205, 2006
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  • Modersitzki, J. und Wirtz, S.: Combining Homogenization and Registration. , pp. 257-263, 2006
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  • Haber, E. und Modersitzki, J.: A Multilevel Method for Image Registration. SIAM Journal on Scientific Computing, vol. 27, no. 5, pp. 1594-1607, 2006
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  • Schmitt, O., Modersitzki, J., und Wirtz, S.: Registration of Histological Serial Sectionings. , pp. 63-80, 2006
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  • Haber, E. und Modersitzki, J.: Image Registration with Guaranteed Displacement Regularity. International Journal of Computer Vision, pp. 361-372, 2006
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  • Modersitzki, J. und Wirtz, S.: Registration of Histological Serial Sectionings. Mathematical Models for Registration and Applications to Medical Imaging. Mathematics in Industry, Scherzer, O. (Ed.), Springer, New York, 2006
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  • Haber, E. und Modersitzki, J.: A Scale Space Method for Volume Preserving Image Registration. , pp. 561-572, 2005
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  • group, S. r.: FLIRT - A FLexible Image Registration Toolbox: , 2006
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  • Heldmann, S.: Non-Linear Registration based on Mutual Information. , Institute of Mathematics, University of Lübeck, 2006
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  • Kabus, S., Franz, A., und Fischer, B.: Variational Image Registration with Local Properties: Biomedical Image Registration (WBIR 2006), Pluim, J., Likar, B., und Gerritsen, F. (Ed.), Springer, 2006
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  • Schumacher, H., Franz, A., und Fischer, B.: Weighted Medical Image Registration with Automatic Mask Generation. Medical Imaging 2006: Image Processing, J.M. Reinhardt, J. P. (Ed.), SPIE, vol. 6144, 61442B, 2006
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  • Bommersheim, S. und Fischer, B.: Non-rigid Image Registration. Proceedings of the 9th Korea-Germany joint workshop on Advanced Medical Image Processing, Seoul, pp. 81-89, 2006
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  • Koch, J., Ludwig, M., und Fischer, B.: Der Wärmehaushalt des Frühgeborenen: Mathematische Modellierung und numerische Ergebnisse. FOCUS MUL, vol. 23, no. 1, pp. 16-24, 2006
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  • Bommersheim, S. und Fischer, B.: Mathematik und Medizin - die Fusion zweier Welten. FOCUS MUL, vol. 23, no. 4, pp. 196-201, 2006
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  • Hömke, L.: A multigrid method for elastic image registration with additional structural constraints. , Institute of Mathematics, University of Lübeck, 2006
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  • Conrad, M.: Modellierung und Parameterschätzung endokriner Systeme. , Institute of Mathematics, University of Lübeck, 2006
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  • Kabus, S.: Multiple-Material Variational Image Registration. , Institute of Mathematics, University of Lübeck, 2006
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2005

  • Schmitt, O., Eggers, R., und Modersitzki, J.: Videomicroscopy, Image Processing, and Analysis of Whole Histologic Sections of the Human Brain. Microscopy Research and Technique, pp. 203-218, 2005
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  • Schmitt, O., Modersitzki, J., Heldmann, S., Wirtz, S., Hömke, L., Heide, W., Kömpf, D., und Wree, A.: Three-dimensional Cytoarchitectonic Analysis of the Posterior Bank of the Human Precentral sulcus. Anatomy and Embryology, pp. 387-400, 2005
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  • Faber, T., Modersitzki, J., Folks, R., und Garcia, E.: Detecting Changes in Serial Myocardial Perfusion SPECT: A Simulation Study. Journal of Nuclear Cardiology, pp. 302-310, 2005
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  • Haber, E. und Modersitzki, J.: Beyond Mutual Information: A Simple and Robust Alternative: , Meinzer, H., Handels, H., Horsch, A., und Tolxdorff, T. (Ed.), Springer Berlin/ Heidelberg, 2005
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  • Bolten, M., Papenberg, N., Fischer, B., Adamidis, P., Rabenseifner, R., und Berger, H.: Parallelisierung eines Nichtlinearen Registrierungsalgorithmus zur Verarbeitung sehr großer Volumen-Daten. Bildverarbeitung für die Medizin 2005, Meinzer, H., Handels, H., Horsch, A., und Tolxdorff, T. (Ed.), Springer, Informatik aktuell, pp. 360-364, 2005
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  • Kabus, S., Franz, A., und Fischer, B.: On Elastic Image Registration with Varying Material Parameters: Bildverarbeitung für die Medizin 2005, Meinzer, H., Handels, H., Horsch, A., und Tolxdorff, T. (Ed.), Springer, 2005
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  • Wirtz, S., Papenberg, N., Fischer, B., und Schmitt, O.: Robust and Staining-Invariant Elastic Registration of a Series of Images from Histologic Slices. Medical Imaging 2005: Image Processing, Fitzpatrick, J. und Reinhardt, J. (Ed.), SPIE, vol. 5747, pp. 1256-1262, 2005
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  • Hofmann, U., Knopp, U., Fischer, B., und Modersitzki, J.: Navigationshilfsvorrichtung für Neurochirurgische Eingriffe am Menschlichen Gehirn: , Feb. 2005, AZ 10242 802
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  • Ludwig, M.: Ein Finite-Volumen-Verfahren zur numerischen Simulation der Temperaturverteilungen in Frühgeborenen. , Institute of Mathematics, University of Lübeck, 2005
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2004

  • Fischer, B. und Modersitzki, J.: A unified approach to fast image registration and a new curvature based registration technique. Linear Algebra and its Applications, vol. 380, pp. 107-124, 2004
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  • Modersitzki, J.: Numerical Methods for Image Registration. Oxford University Press, New York, 2004
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  • Wirtz, S., Fischer, B., Modersitzki, J., und Schmitt, O.: Super-fast Elastic Registration of Histologic Images of a Whole Rat Brain for Three-dimensional Reconstruction: Proceeding of the SPIE, Fitzpatrick, J. und Sonka, M. (Ed.), SPIE, 2004
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  • Kabus, S., Netsch, T., Fischer, B., und Modersitzki, J.: B-Spline Registration of 3D Images with Levenberg-Marquardt Optimization: Proceeding of the SPIE, Medical Imaging, JM Fitzpatrick and M Sonka, 2004
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  • Fischer, B. und Modersitzki, J.: Intensity Based Image Registration with a Guaranteed One-to-one Point Match. Methods of Information in Medicine, pp. 327-330, 2004
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  • Haber, E. und Modersitzki, J.: Volume Preserving Image Registration. , pp. 591-598, 2004
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  • Haber, E. und Modersitzki, J.: Numerical Methods for Volume Preserving Image Registration. Inverse Problems, pp. 1621-1638, 2004
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  • Fischer, B. und Modersitzki, J.: Large Scale Problems Arising from Image Registration. GAMM Mitteilungen, pp. 104-120, 2004
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  • Fischer, B. und Modersitzki, J.: On medical Image Registration. Proceedings of the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, Moor, B. d. und Motmans, B. (Ed.), Schattauer Verlag, Stuttgart, pp. 1-5, 2004
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  • Haber, E., Modersitzki, J., und Heldmann, S.: Multilevel Optimization Methods for Mutual Information Registration: , Department of Mathematics and Computer Science, Technical Report, no. TR-2004-015-A, Emory University, Atlanta GA 30322, 2004, Submitted to Inverse Problems
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  • Heldmann, S., Mahnke, O., Potts, D., Modersitzki, J., und Fischer, B.: Fast Computation of Mutual Information in a Variational Image Registration Approach: Bildverarbeitung für die Medizin, Springer, 2004
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  • Fischer, B. und Modersitzki, J.: Ein Verfahren zur automatischen Registrierung von Bildern: , 2004
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  • Conrad, M., Hubold, C., Fischer, B., Schweiger, U., Fehm, H. L., und Peters, A.: The Selfish Brain: A new Model of the LHPA-System. Exp Clin Endocrinol Diabetes, vol. 112, pp. 481-482, 2004
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  • Kaus, M. R., Netsch, T., Kabus, S., Pekar, V., McNutt, T., und Fischer, B.: Estimation of Organ Motion from 4D CT for 4D Radiation Therapy Planning of Lung Cancer. Medical Image Computing and Computer-Assisted Intervention- MICCAI 2004, Barillot, C., Haynor, D., und Hellier, P. (Ed.), Springer, LNCS 3217, pp. 1017-1024, 2004
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  • Schmitt, O., Wirtz, S., Modersitzki, J., Fischer, B., Heldmann, S., und Wree, A.: Microregistration and microreconstruction of a whole mouse brain: , 2004
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2003

  • Agostino, E., Modersitzki, J., Maes, F., Vandermeulen, D., Fischer, B., und Suentens, P.: Free-Form Registration Using Mutual Information and Curvature Regularization. Biomedical Image Registration (WBIR 2003), pp. 11-20, 2003
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  • Fischer, B. und Modersitzki, J.: Combination of Automatic Non-Grind Landmark Based Regisration: the Best of Both Worlds. , vol. 5032, pp. 1037-1048, 2003
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  • Fischer, B. und Modersitzki, J.: Fast Image Registration - a Variational Approach. Numerical Analysis and Computational Mathematics, pp. 69-74, 2003
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  • Dougherty, R. F., Kock, V. M., Brewer, A. A., Fischer, B. . . . M. J., und Wandell, B. A.: Visual Field Representations and Locations of Visual Areas V1/2/3 in Human Visual Cortex. Journal of Vision, pp. 586-598, 2003
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  • Fischer, B. und Modersitzki, J.: Curvature Based Image Registration. Journal of Mathematical Imaging and Vision, pp. 81-85, 2003
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  • Schmitt, O., Wree, A., Dümbgen, L., Modersitzki, J., Hömke, L., Heldmann, S., Bock, S., Heide, J., und Kömpf, D.: Spatial location of the human frontal eye field. Ann. Anal., vol. 185, pp. 320-321, 2003
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  • Fischer, B. und Modersitzki, J.: Combining Landmark and Intensity Driven Registration. GAMM, pp. 32-35, 2003
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  • Fischer, B. und Modersitzki, J.: Optimal Image Registration with a Guaranteed One-to-one Point Match: , Wittenberg, T. und thers, . (Ed.), Springer, 2003
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2002

  • Böhme, M., Hagenau, R., Modersitzki, J., und Siebert, B.: Non-linear image registration on PC-clusters using parallel FFT techniques: , Institute of Mathematics, University of Lübeck, Germany, Preprint A-02-08, 2002
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  • Bolten, M., Modersitzki, J., und Papenberg, N.: A parallel implementation of the AOS-based diffusion registration: , Institute of Mathematics, University of Lübeck, Germany, In preparation, 2004
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  • Fischer, B. und Modersitzki, J.: Curvature based Registration with Application to MR-Mammography. Computational Science - ICCS 2002, pp. 202-206, 2002
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  • Fischer, B. und Modersitzki, J.: Fast Diffusion Registration. AMS Contemporary Mathematics, Inverse Problems, Image Analysis, and Medical Imaging, vol. 313, pp. 117-129, 2002
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  • Fischer, B. und Modersitzki, J.: Fast Curvature Based Registration of MR-Mammography Images: , Meiler, M. und thers, . (Ed.), Springer, 2002
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  • Fischer, B. und Themistoclakis, W.: Orthogonal Polynomial Wavelets. Numerical Algorithms, vol. 30, pp. 37-58, 2002
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  • Breuss, M., Fischer, B., und Meister, A.: An Application of a Blood Flow Model. Proceedings of the International Symposium on Algorithms for Approximation IV, Levesley, J., Anderson, I., und Mason, J. (Ed.), Huddersfield, pp. 428-436, 2002
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  • Fischer, B. und Modersitzki, J.: Über ein Verfahren der Bildregistrierung: , Nov. 2002, AZ 10253 784.4
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  • Oehsen, M. v.: Multiscale Methods for Variational Image Denoising. , Institute of Mathematics, University of Lübeck, 2002
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2001

  • Schmitt, O. und Modersitzki, J.: Registrierung einer hochaufgelösten histologischen Schnittserie eines Rattenhirns. Bildverarbeitung für die Medizin 2001, Handels, H. und thers, . (Ed.), Springer, pp. 174-178, 2001
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  • Modersitzki, J., Schmitt, O., und Fischer, B.: Effiziente, nicht-lineare Registrierung eines histologischen Serienschnittes durch das menschliche Gehirn. Bildverarbeitung für die Medizin 2001, Handels, H. und thers, . (Ed.), Springer, Informatik aktuell, pp. 179-183, 2001
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  • Modersitzki, J., Lustig, G., Schmitt, O., und Obelöer, W.: Elastic Registration of Brain Images on Large PC-Clusters. Future Generation Computer Systems, vol. 18, pp. 115-125, 2001
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  • Fischer, B. und Modersitzki, J.: A Super Fast Algorithm: , Springer, 2001
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  • Fischer, B. und Peherstorfer, F.: Chebyshev Approximation via Polynomial Mappings and the Convergence Behaviour of Krylov Subspace Methods. ETNA, vol. 12, pp. 205-215, 2001
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  • Fischer, B., Ludwig, M., und Meister, A.: The Thermoregulation of Infants: Modeling and Numerical Simulation. BIT, vol. 41, pp. 950-966, 2001
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  • Fischer, B., Ludwig, M., und Meister, A.: A Finite Volume Method to Compute the Steady State Temperature Distribution in Premature or Newborn Infant. ZAMM, vol. 81, pp. 759-760, 2001
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  • Fischer, B.: From Orthogonal Polynomials to Iteration Schemes for Linear Systems: CG and CR Revisited. Wavelets and Allied Topics, Jain, P., Mhaskar, H., Krishna, M., Prestin, J., und Singh, D. (Ed.), Narosa publishing house, New Dehli, pp. 225-247, 2001
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  • Breuss, M., Fischer, B., und Meister, A.: The Unsteady Thermoregulation of Premature Infants - a Model and its Application. Proceedings of the GAMM-Workshop: Discrete Modelling and Discrete Algorithms in Continuum Mechanics, Sonar, T. und Thomas, I. (Ed.), Logos, pp. 47-56, 2001
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  • Breuss, M., Fischer, B., und Meister, A.: The Numerical Simulation of Unsteady Heat Conduction in a Premature Infant. Numerical Methods for Fluid Dynamics VIII, Baines, M. und Morton, K. (Ed.), Clarendon Press, pp. 239-246, 2001
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2000

  • Modersitzki, J. und Schmitt, O.: Image registration of histological sections: , Institute of Mathematics, University of Lübeck, Germany, Preprint A-02-06, 2000
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  • Sleijpen, G., van der Vorst, H., und Modersitzki, J.: Differences in the Effects of Rounding Errors in Krylov Solvers for Symmetric Indefinite Linear Systems. SIMAX, vol. 22, no. 3, pp. 726-751, 2000
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1999

  • Fischer, B., Ramage, A., Silvester, D., und Wathen, A.: On Parameter Choice and Iterative Convergence for Stabilised Discretisations of Advection-Diffusion Problems. Computer Methods in Applied Mechanics and Engineering, vol. 179, pp. 185-202, 1999
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  • Modersitzki, J., Obelöer, W., Schmitt, O., und Lustig, G.: Elastic Matching of very Large Digital Images on High Performance Clusters. High-Performance Computing and Networking - 7th International Conference, HPCN Europe 1999, Springer, LNCS 1593, pp. 141-149, 1999
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  • Schmitt, O., Eggers, R., Modersitzki, J., Obelöer, W., und Lustig, G.: Multidimensional Profiling of Elastic Deformed Particle Systems - A First Approach. Book of Abstracts of the First Vogt-Brodman Symposium: Perspectives of Architectonic Brain Mapping, , 1999
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  • Schmitt, O., Eggers, R., Modersitzki, J., Obelöer, W., und Lustig, G.: The total Number of Cells in Serial Sections of a Human Brain. X-th International Congress for Stereology, University of Melbourne, 1999
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  • Schmitt, O., Modersitzki, J., und Obelöer, W.: The Human Neuro Scanning Project. NeuroImage, vol. 9, , 1999
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1998

  • Fischer, B. und Modersitzki, J.: Fast Inversion of Matrices Arising in Image Processing. Numerical Algorithms, pp. 1-11, 1998
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  • Fischer, B., Ramage, A., Silvester, D., und Wathen, A.: Minimum Residual Methods for Augmented Systems. BIT, vol. 38, pp. 527-543, 1998
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  • Fischer, B., Silvester, D., und Wathen, A.: The Convergence of Iterative Methods for Symmetric and Indefinite Linear Systems. Numerical Analysis 97, Griffiths, D., Higham, D., und Watson, G. (Ed.), Longman, pp. 230-244, 1998
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1997

  • Fischer, B. und Prestin, J.: Wavelets Based on Orthogonal Polynomials. Math. Comp., vol. 66, pp. 1593-1618, 1997
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1996

  • Fischer, B.: Polynomial Based Iteration Methods for Symmetric Linear Systems. Wiley-Teubner, Wiley-Teubner Series in Advances in Numerical Mathematics, Chicester, 1996
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  • Fischer, B., Hanke, M., und Hochbruck, M.: A Note on Conjugate-Gradient Type Methods for Indefinite and/or Inconsistent Linear Systems. Numerical Algorithms, vol. 11, pp. 181-189, 1996
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1995

  • Modersitzki, J.: Polynomiale Iterationsverfahren zur Lösung indefiniter linearer Gleichungssysteme mit optimalen Iterierten und kurzer Rekursion. Verlag an der Lottbek, Ammersbek bei Hamburg, 1995
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  • Modersitzki, J. und Opfer, G.: Faber versus Minimal Polynomials on Annular Sectors. Comp. Methods and Function Theory, Ali, R., Ruscheweyh, R., und Saff, E. (Ed.), pp. 243-265, 1995
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  • Fischer, B., Silvester, D., und Wathen, A.: The Convergence Rate of the Minimal Residual Method for the Stokes Problem. Num. Math., vol. 71, pp. 121-134, 1995
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  • Ramage, A., Fischer, B., Silvester, D., und Wathen, A.: Minimum Residual Methods for the Navier-Stokes Equations: Indefiniteness vs Asymmetry. Numerical Methods for Fluid Dynamics V, Morton, K. und Baines, M. (Ed.), Oxford University Press, pp. 541-547, 1995
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1994

  • Modersitzki, J.: Conjugate Gradient Type Methods for Solving Symmetric, Indefinite Linear Systems: , Department of Mathematics, Technical Report, no. 868, University of Utrecht, 1994
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  • Fischer, B. und Freund, R.: On Adaptive Weighted Polynomial Preconditioning for Hermitian Positive Definite Matrices. SIAM Journal on Scientific Computing, vol. 15, pp. 408-426, 1994
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  • Fischer, B. und Freund, R.: An Inner Product-free Conjugate Gradient-like Algorithm for Hermitian Positive Definite Systems. Proceedings of the Cornelius Lanczos International Centenary Conference, Brown, J., Chu, M., Ellison, D., und Plemmons, R. (Ed.), SIAM, pp. 288-290, 1994
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1993

  • Fischer, B. und Modersitzki, J.: An Algorithm for Complex Linear Approximation Based on Semi-Infinite Programming. Numerical Algorithms, vol. 5, pp. 287-297, 1993
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  • Modersitzki, J.: CGI-an Extension of the Conjugate Gradient Algorithm to Indefinite Symmetric Matrices: , Institute of Applied Mathematics, Preprint, Reihe A, no. 77, University of Hamburg, 1993
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  • Fischer, B. und Golub, G.: On the Error Computation for Polynomial Based Iteration Methods: Recent Advances in Iterative Methods, Golub, G., Greenbaum, A., und Luskin, M. (Ed.), Springer, 1993
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1992

  • Fischer, B.: Chebyshev Polynomials for Disjoint Compact Sets. Constr. Approx., vol. 8, pp. 309-329, 1992
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  • Fischer, B. und Golub, G.: How to Generate Unknown Orthogonal Polynomials out of Known Orthogonal Polynomials. Journal of Comp. and Appl. Math., vol. 43, pp. 99-115, 1992
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1991

  • Fischer, B., Opfer, G., und Puri, M. L.: A Local Algorithm for Constructing Non-Negative Cubic Splines. J. Approx. Theory, vol. 64, pp. 1-16, 1991
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  • Fischer, B. und Freund, R.: Chebyshev Polynomials are not always Optimal. J. Approx. Theory, vol. 65, pp. 261-273, 1991
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  • Fischer, B. und Golub, G.: On Generating Polynomials which are Orthogonal over Several Intervals. Math. Comp., vol. 56, pp. 711-730, 1991
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  • Fischer, B. und Freund, R.: New Bernstein Type Inequalities for Polynomials on Ellipses. Complex Variables, vol. 16, pp. 289-305, 1991
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1990

  • Modersitzki, J.: Der Algorithmus von Tang zur Lösung linearer Approximations\-auf\-gaben in der Tschebyscheff - Norm: , University of Hamburg, 1990, (In German)
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  • Fischer, B. und Freund, R.: On the Constrained Chebyshev Approximation Problem on Ellipses. J. Approx. Theory, vol. 62, pp. 297-315, 1990
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1989

  • Fischer, B. und Reichel, L.: Newton Interpolation in Fejer and Chebyshev Points. Math. Comp., vol. 53, pp. 265-279, 1989
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  • Fischer, B. und Golub, G.: Optimal Chebyshev Polynomials on Ellipses in the Complex Plane: J. Approximation Theory VI, Chui, C., Schumaker, L., und Ward, J. (Ed.), Academic, 1989
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1988

  • Fischer, B. und Reichel, L.: A stable Richardson Iteration Method for Complex Linear Systems. Numer. Math., vol. 54, pp. 225-242, 1988
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