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Jan Modersitzki
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2020 – today
- 2024
- [j23]Jan Modersitzki
:
The Spectral Decomposition of the Continuous and Discrete Linear Elasticity Operators with Sliding Boundary Conditions. SIAM J. Matrix Anal. Appl. 45(1): 134-147 (2024) - [c52]Saskia Neuber, Pia F. Schulz, Sven Kuckertz, Jan Modersitzki:
Segmentation-inspired Image Registration. Bildverarbeitung für die Medizin 2024: 205-210 - 2022
- [c51]Stephanie Häger, Annkristin Lange, Stefan Heldmann, Jan Modersitzki, Andreas Petersik, Manuel Schröder, Heiko Gottschling, Thomas Lieth, Erich Zähringer, Jan Hendrik Moltz:
Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn). Bildverarbeitung für die Medizin 2022: 69-74 - 2021
- [j22]Jan Lellmann, Jan Modersitzki:
Guest Editorial: Scale Space and Variational Methods. J. Math. Imaging Vis. 63(2): 131-132 (2021) - [c50]Hari Om Aggrawal, Jan Modersitzki:
Hessian Initialization Strategies for ℓ-BFGS Solving Non-linear Inverse Problems. SSVM 2021: 216-228 - [i6]Hari Om Aggrawal, Jan Modersitzki:
Hessian Initialization Strategies for L-BFGS Solving Non-linear Inverse Problems. CoRR abs/2103.10010 (2021) - 2020
- [c49]Hari Om Aggrawal, Jan Modersitzki:
Accelerating the Registration of Image Sequences by Spatio-Temporal Multilevel Strategies. ISBI 2020: 683-686 - [c48]Hari Om Aggrawal, Martin S. Andersen
, Jan Modersitzki:
An Image Registration Framework for Discontinuous Mappings Along Cracks. WBIR 2020: 163-173 - [i5]Hari Om Aggrawal, Jan Modersitzki:
Accelerating the Registration of Image Sequences by Spatio-temporal Multilevel Strategies. CoRR abs/2001.06613 (2020)
2010 – 2019
- 2019
- [c47]Kai Brehmer, Hari Om Aggrawal, Stefan Heldmann, Jan Modersitzki:
Variational Registration of Multiple Images with the SVD Based \mathrm Sq\mathrm N Distance Measure. SSVM 2019: 251-262 - [e1]Jan Lellmann, Martin Burger, Jan Modersitzki:
Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings. Lecture Notes in Computer Science 11603, Springer 2019, ISBN 978-3-030-22367-0 [contents] - [i4]Kai Brehmer, Benjamin Wacker, Jan Modersitzki:
Simultaneous Registration of Image Sequences - a novel singular value based images similarity measure. CoRR abs/1907.09275 (2019) - [i3]Kai Brehmer, Hari Om Aggrawal, Stefan Heldmann, Jan Modersitzki:
Variational Registration of Multiple Images with the SVD based SqN Distance Measure. CoRR abs/1907.09732 (2019) - [i2]Kai Brehmer, Benjamin Wacker, Jan Modersitzki:
A Novel Similarity Measure for Image Sequences. CoRR abs/1907.09741 (2019) - 2018
- [j21]Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer:
Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field. Comput. Vis. Image Underst. 176-177: 45-53 (2018) - [c46]Kai Brehmer, Benjamin Wacker
, Jan Modersitzki:
A Novel Similarity Measure for Image Sequences. WBIR 2018: 47-56 - [i1]Jan Rühaak, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson, Heinz Handels, Jan Modersitzki, Mattias P. Heinrich:
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. CoRR abs/1807.00467 (2018) - 2017
- [j20]Jan Rühaak, Lars König
, Florian Tramnitzke, Harald Köstler
, Jan Modersitzki:
A matrix-free approach to efficient affine-linear image registration on CPU and GPU. J. Real Time Image Process. 13(1): 205-225 (2017) - [j19]Lars Ruthotto
, Chen Greif, Jan Modersitzki:
A stabilized multigrid solver for hyperelastic image registration. Numer. Linear Algebra Appl. 24(5) (2017) - [j18]Jan Rühaak
, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson
, Heinz Handels
, Jan Modersitzki, Mattias P. Heinrich
:
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. IEEE Trans. Medical Imaging 36(8): 1746-1757 (2017) - [c45]Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens von Berg, Hauke Schramm, Jan Modersitzki, Carsten Meyer:
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field. GRAIL/MFCA/MICGen@MICCAI 2017: 64-75 - 2016
- [j17]Johannes Lotz
, Janine Olesch, Benedikt Müller, Thomas Polzin
, P. Galuschka, J. M. Lotz, Stefan Heldmann, Hendrik Laue, Margarita Gonzalez-Vallinas
, Arne Warth, Bernd Lahrmann, Niels Grabe
, Oliver Sedlaczek, Kai Breuhahn
, Jan Modersitzki:
Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images. IEEE Trans. Biomed. Eng. 63(9): 1812-1819 (2016) - [c44]Thomas Polzin
, Marc Niethammer, Mattias P. Heinrich
, Heinz Handels
, Jan Modersitzki:
Memory Efficient LDDMM for Lung CT. MICCAI (3) 2016: 28-36 - 2015
- [c43]David Drobny
, Heike Carolus, Sven Kabus, Jan Modersitzki:
Handling Non-Corresponding Regions in Image Registration. Bildverarbeitung für die Medizin 2015: 107-112 - [c42]Constantin Heck, Martin Benning
, Jan Modersitzki:
Joint Registration and Parameter Estimation of T1 Relaxation Times Using Variable Flip Angles. Bildverarbeitung für die Medizin 2015: 215-220 - [c41]Nick Weiss
, Johannes Lotz
, Jan Modersitzki:
Multimodal Image Registration in Digital Pathology Using Cell Nuclei Densities. Bildverarbeitung für die Medizin 2015: 245-250 - [c40]Marc Hallmann, Jan Modersitzki, Philipp Dammann, Dorothea Miller, Ulrich Sure:
Ultrasound-MRI Fusion for Image-Guided Neurosurgery. CURAC 2015: 270-212 - [c39]Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Lisa Kausch, Jan Modersitzki, Rafael Wiemker, Daniel Bystrov:
Annotation-free probabilistic atlas learning for robust anatomy detection in CT images. Image Processing 2015: 941338 - [r1]Lars Ruthotto
, Jan Modersitzki:
Non-linear Image Registration. Handbook of Mathematical Methods in Imaging 2015: 2005-2051 - 2014
- [j16]Erlend Hodneland, Erik A. Hanson, Arvid Lundervold, Jan Modersitzki, Eli Eikefjord, Antonella Munthe-Kaas:
Segmentation-Driven Image Registration-Application to 4D DCE-MRI Recordings of the Moving Kidneys. IEEE Trans. Image Process. 23(5): 2392-2404 (2014) - [c38]Anna K. Trull, Benjamin Berkels
, Jan Modersitzki:
Glomerular Filtration Rate Estimation from Dynamic Contrast-Enhanced MRI. Bildverarbeitung für die Medizin 2014: 30-35 - [c37]Constantin Heck, Lars Ruthotto
, Jan Modersitzki, Benjamin Berkels
:
Model-Based Parameterestimation in DCE-MRI Without an Arterial Input Function. Bildverarbeitung für die Medizin 2014: 246-251 - [c36]Sebastian Suhr, Daniel Tenbrinck, Martin Burger, Jan Modersitzki:
Registration of Noisy Images via Maximum A-Posteriori Estimation. WBIR 2014: 231-240 - 2013
- [j15]Sven Barendt, Jan Modersitzki:
A variational model for SPECT reconstruction with a nonlinearly transformed attenuation prototype. Int. J. Comput. Math. 90(1): 82-91 (2013) - [j14]Martin Burger, Jan Modersitzki, Lars Ruthotto
:
A Hyperelastic Regularization Energy for Image Registration. SIAM J. Sci. Comput. 35(1) (2013) - [c35]Lars Ruthotto
, Siawoosh Mohammadi, Constantin Heck, Jan Modersitzki, Nikolaus Weiskopf:
Hyperelastic Susceptibility Artifact Correction of DTI in SPM. Bildverarbeitung für die Medizin 2013: 344-349 - 2012
- [c34]Lars Ruthotto, Fabian Gigengack, Martin Burger, Carsten H. Wolters, Xiaoyi Jiang
, Klaus P. Schäfers, Jan Modersitzki:
A Simplified Pipeline for Motion Correction in Dual Gated Cardiac PET. Bildverarbeitung für die Medizin 2012: 51-56 - [c33]Sven Barendt, Jan Modersitzki:
SPECT Reconstruction with a Transformed Attenuation Prototype at Multiple Levels. Bildverarbeitung für die Medizin 2012: 352-357 - [c32]Fabian Gigengack, Lars Ruthotto
, Xiaoyi Jiang
, Jan Modersitzki, Martin Burger, Sven Hermann, Klaus P. Schäfers:
Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance. MCV 2012: 82-92 - [c31]Lars Ruthotto
, Erlend Hodneland, Jan Modersitzki:
Registration of Dynamic Contrast Enhanced MRI with Local Rigidity Constraint. WBIR 2012: 190-198 - 2011
- [c30]Veronika A. Zimmer
, Nils Papenberg, Jan Modersitzki, Bernd Fischer:
Bildregistrierung zur Verbrennungsanalyse. Bildverarbeitung für die Medizin 2011: 159-163 - [c29]Sven Barendt, Jan Modersitzki:
SPECT Reconstruction with a Non-linear Transformed Attenuation Prototype. Bildverarbeitung für die Medizin 2011: 414-418 - 2010
- [j13]Eldad Haber, Raya Horesh, Jan Modersitzki:
Numerical optimization for constrained image registration. Numer. Linear Algebra Appl. 17(2-3): 343-359 (2010)
2000 – 2009
- 2009
- [j12]Thomas Lange, Nils Papenberg, Stefan Heldmann, Jan Modersitzki, Bernd Fischer, Hans Lamecker, Peter-Michael Schlag:
3D ultrasound-CT registration of the liver using combined landmark-intensity information. Int. J. Comput. Assist. Radiol. Surg. 4(1): 79-88 (2009) - [c28]Sven Barendt, Bernd Fischer, Jan Modersitzki:
A kernel representation for exponential splines with global tension. Image Processing: Algorithms and Systems 2009: 72450 - [c27]Konstantin Ens, Stefan Heldmann, Jan Modersitzki, Bernd Fischer:
Improving an affine and non-linear image registration and/or segmentation task by incorporating characteristics of the displacement field. Image Processing 2009: 725932 - [c26]Konstantin Ens, Fabian Wenzel, Stewart Young, Jan Modersitzki, Bernd Fischer:
Design of a synthetic database for the validation of non-linear registration and segmentation of magnetic resonance brain images. Image Processing 2009: 725933 - [c25]Eldad Haber, Stefan Heldmann, Jan Modersitzki:
A Scale-Space Approach to Landmark Constrained Image Registration. SSVM 2009: 612-623 - 2008
- [j11]Jan Modersitzki:
FLIRT with Rigidity - Image Registration with a Local Non-rigidity Penalty. Int. J. Comput. Vis. 76(2): 153-163 (2008) - [j10]Eldad Haber, Stefan Heldmann, Jan Modersitzki:
Adaptive Mesh Refinement for Nonparametric Image Registration. SIAM J. Sci. Comput. 30(6): 3012-3027 (2008) - [c24]Nils Papenberg, Jan Modersitzki, Bernd Fischer:
Registrierung im Fokus. Bildverarbeitung für die Medizin 2008: 138-142 - [c23]Nils Papenberg, Thomas Lange, Jan Modersitzki, Peter M. Schlag, Bernd Fischer:
Image registration for CT and intra-operative ultrasound data of the liver. Image-Guided Procedures 2008: 691808 - 2007
- [j9]Eldad Haber, Jan Modersitzki:
Image Registration with Guaranteed Displacement Regularity. Int. J. Comput. Vis. 71(3): 361-372 (2007) - [j8]Oliver Schmitt, Jan Modersitzki, Stefan Heldmann, Stefan Wirtz, Bernd Fischer:
Image Registration of Sectioned Brains. Int. J. Comput. Vis. 73(1): 5-39 (2007) - [j7]Eldad Haber, Stefan Heldmann, Jan Modersitzki:
An Octree Method for Parametric Image Registration. SIAM J. Sci. Comput. 29(5): 2008-2023 (2007) - [c22]Nils Papenberg, Hanno Schumacher, Stefan Heldmann, Stefan Wirtz, Silke Bommersheim, Konstantin Ens, Jan Modersitzki, Bernd Fischer:
A Fast and Flexible Image Registration Toolbox. Bildverarbeitung für die Medizin 2007: 106-110 - [c21]Jan Modersitzki:
Image Registration with Local Rigidity Constraints. Bildverarbeitung für die Medizin 2007: 444-448 - [c20]Sven Barendt, Jan Modersitzki, Bernd Fischer:
Ein numerisches Verfahren zur Kalibrierung von Gammakameras. Bildverarbeitung für die Medizin 2007: 449-453 - 2006
- [j6]Eldad Haber, Jan Modersitzki:
A Multilevel Method for Image Registration. SIAM J. Sci. Comput. 27(5): 1594-1607 (2006) - [c19]Eldad Haber, Jan Modersitzki:
Intensity Gradient Based Registration and Fusion of Multi-modal Images. MICCAI (2) 2006: 726-733 - [c18]Jan Modersitzki, Stefan Wirtz:
Combining Homogenization and Registration. WBIR 2006: 257-263 - 2005
- [c17]Eldad Haber, Jan Modersitzki:
Beyond Mutual Information: A Simple and Robust Alternative. Bildverarbeitung für die Medizin 2005: 350-354 - [c16]Eldad Haber, Jan Modersitzki:
A Scale Space Method for Volume Preserving Image Registration. Scale-Space 2005: 561-572 - 2004
- [c15]Stefan Wirtz, Bernd Fischer, Jan Modersitzki, Oliver Schmitt:
Vollständige Rekonstruktion eines Rattenhirns aus hochaufgelösten Bildern von histologischen Serienschnitten. Bildverarbeitung für die Medizin 2004: 204-208 - [c14]Stefan Heldmann, Oliver Mahnke, Daniel Potts, Jan Modersitzki, Bernd Fischer:
Fast Computation of Mutual Information in a Variational Image Registration Approach. Bildverarbeitung für die Medizin 2004: 448-452 - [c13]Eldad Haber, Jan Modersitzki:
Volume Preserving Image Registration. MICCAI (1) 2004: 591-598 - [c12]Sven Kabus, Thomas Netsch, Bernd Fischer, Jan Modersitzki:
B-spline registration of 3D images with Levenberg-Marquardt optimization. Image Processing 2004 - [c11]Stefan Wirtz, Bernd Fischer, Jan Modersitzki, Oliver Schmitt:
Superfast elastic registration of histologic images of a whole rat brain for 3D reconstruction. Image Processing 2004 - 2003
- [j5]Bernd Fischer, Jan Modersitzki:
Curvature Based Image Registration. J. Math. Imaging Vis. 18(1): 81-85 (2003) - [c10]Jan Modersitzki, Bernd Fischer:
Optimal Image Registration with a Guaranteed One-to-one Point Match. Bildverarbeitung für die Medizin 2003: 1-5 - [c9]Bernd Fischer, Jan Modersitzki:
Combination of automatic non-rigid and landmark based registration: the best of both worlds. Image Processing 2003 - [c8]Emiliano D'Agostino, Jan Modersitzki, Frederik Maes, Dirk Vandermeulen, Bernd Fischer, Paul Suetens:
Free-Form Registration Using Mutual Information and Curvature Regularization. WBIR 2003: 11-20 - [c7]Bernd Fischer, Jan Modersitzki:
FLIRT: A Flexible Image Registration Toolbox. WBIR 2003: 261-270 - 2002
- [c6]Bernd Fischer, Jan Modersitzki:
Fast Curvature-Based Registration of MR Mammography Images. Bildverarbeitung für die Medizin 2002: 139-142 - [c5]Bernd Fischer, Jan Modersitzki:
Curvature Based Registration with Applications to MR-Mammography. International Conference on Computational Science (3) 2002: 202-206 - 2001
- [j4]Jan Modersitzki, Gunther Lustig, Oliver Schmitt, Wolfgang Obelöer:
Elastic registration of brain images on large PC-Clusters. Future Gener. Comput. Syst. 18(1): 115-125 (2001) - [j3]Gerard L. G. Sleijpen, Henk A. van der Vorst, Jan Modersitzki:
Differences in the Effects of Rounding Errors in Krylov Solvers for Symmetric Indefinite Linear Systems. SIAM J. Matrix Anal. Appl. 22(3): 726-751 (2001) - [c4]Bernd Fischer, Jan Modersitzki:
A Super Fast Registration Algorithm. Bildverarbeitung für die Medizin 2001: 169-173 - [c3]Oliver Schmitt, Jan Modersitzki:
Registrierung einer hochaufgelösten histologischen Schnittserie eines Rattenhirns. Bildverarbeitung für die Medizin 2001: 174-178 - [c2]Jan Modersitzki, Oliver Schmitt, Bernd Fischer:
Effiziente, nicht-lineare Registrierung eines histologischen Serienschnittes durch das menschliche Gehirn. Bildverarbeitung für die Medizin 2001: 179-183
1990 – 1999
- 1999
- [j2]Bernd Fischer, Jan Modersitzki:
Fast inversion of matrices arising in image processing. Numer. Algorithms 22(1): 1-11 (1999) - [c1]Jan Modersitzki, Wolfgang Obelöer, Oliver Schmitt, Gunther Lustig:
Elastic Matching of Very Large Digital Images on High Performance Clusters. HPCN Europe 1999: 141-149 - 1993
- [j1]Bernd Fischer, Jan Modersitzki:
An algorithm for complex linear approximation based on semi-infinite programming. Numer. Algorithms 5(6): 287-297 (1993)
Coauthor Index

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last updated on 2025-01-21 00:21 CET by the dblp team
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