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Stefan Heldmann
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2020 – today
- 2024
- [j16]Philippe Weitz
, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97: 103257 (2024) - [c43]Temke Kohlbrandt
Joint Learning of Image Registration and Change Detection for Lung CT Images. Bildverarbeitung für die Medizin 2024: 46-51 - 2023
- [j15]Sina Walluscheck
MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs. Int. J. Comput. Assist. Radiol. Surg. 18(3): 483-491 (2023) - [j14]Alessa Hering
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - [c42]Sina Walluscheck, Luca Canalini, Jan Klein, Stefan Heldmann:
Unsupervised learning of healthy anatomy for anomaly detection in brain CT scans. Medical Imaging: Computer-Aided Diagnosis 2023 - [c41]Sven Kuckertz, Stefan Heldmann, Jan Hendrik Moltz:
Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 91-99 - [i10]Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR abs/2305.18033 (2023) - 2022
- [j13]Roland Haase, Stefan Heldmann, Jan Lellmann:
Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition. J. Math. Imaging Vis. 64(2): 194-211 (2022) - [c40]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 - [c39]Marcus Barann, Stefan Heldmann, Jan Klein
A Python SDK for Authoring and using Computer-interpretable Guidelines. BIOINFORMATICS 2022: 99-106 - [c38]Luca Canalini, Jan Klein, Annika Gerken, Stefan Heldmann, Alessa Hering, Horst K. Hahn:
Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context. BrainLes@MICCAI 2022: 262-272 - [c37]Sven Kuckertz, Jan Klein
Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [j12]Alessa Hering
CNN-based lung CT registration with multiple anatomical constraints. Medical Image Anal. 72: 102139 (2021) - [c36]Sven Kuckertz, Florian Weiler, Britta Matusche
A system for fully automated monitoring of lesion evolution over time in multiple sclerosis. Medical Imaging: Computer-Aided Diagnosis 2021 - [c35]Alessa Hering
Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 147-152 - [d1]Jeroen van der Laak
HyReCo - Hybrid re-stained and consecutive histological serial sections. IEEE DataPort, 2021 - [i9]Johannes Lotz, Nick Weiss, Jeroen van der Laak, Stefan Heldmann:
High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology. CoRR abs/2106.13150 (2021) - [i8]Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR abs/2112.04489 (2021) - 2020
- [j11]Jirí Borovec
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39(10): 3042-3052 (2020) - [c34]Annkristin Lange
Intensity-Based 2D-3D Registration Using Normalized Gradient Fields. Bildverarbeitung für die Medizin 2020: 163-168 - [c33]Alessa Hering, Stefan Heldmann:
Abstract: mlVIRNET. Bildverarbeitung für die Medizin 2020: 175 - [c32]Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann:
Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy. Bildverarbeitung für die Medizin 2020: 229 - [c31]Stephanie Häger
Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge. MICCAI (Challenges) 2020: 74-79 - [c30]Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann:
Deep-learning-based CT-CBCT image registration for adaptive radio therapy. Medical Imaging: Image Processing 2020: 113130Q - [c29]Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann:
Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy. WBIR 2020: 44-53 - [c28]Annkristin Lange
Multilevel 2D-3D Intensity-Based Image Registration. WBIR 2020: 57-66 - [i7]Roland Haase, Stefan Heldmann, Jan Lellmann:
Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition. CoRR abs/2001.03509 (2020) - [i6]Alessa Hering, Stephanie Häger, Jan Hendrik Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken:
Constraining Volume Change in Learned Image Registration for Lung CTs. CoRR abs/2011.14372 (2020)
2010 – 2019
- 2019
- [j10]Alessa Hering
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans. Int. J. Comput. Assist. Radiol. Surg. 14(11): 1901-1912 (2019) - [c27]Sonja Jäckle
Shape Sensing with Fiber Bragg Grating Sensors - A Realistic Model of Curvature Interpolation for Shape Reconstruction. Bildverarbeitung für die Medizin 2019: 258-263 - [c26]Alessa Hering
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. Bildverarbeitung für die Medizin 2019: 309-314 - [c25]Alessa Hering
mlVIRNET: Multilevel Variational Image Registration Network. MICCAI (6) 2019: 257-265 - [c24]Alessa Hering, Stefan Heldmann:
Unsupervised learning for large motion thoracic CT follow-up registration. Medical Imaging: Image Processing 2019: 109491B - [c23]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 - [i5]Johannes Lotz
Robust, fast and accurate: a 3-step method for automatic histological image registration. CoRR abs/1903.12063 (2019) - [i4]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) - [i3]Alessa Hering, Bram van Ginneken, Stefan Heldmann:
mlVIRNET: Multilevel Variational Image Registration Network. CoRR abs/1909.10084 (2019) - 2018
- [c22]Sonja Jäckle
Rigid Lens - Locally Rigid Approximations of Deformable Registration for Change Assessment in Thorax-Abdomen CT Follow-Up Scans. RAMBO+BIA+TIA@MICCAI 2018: 272-283 - [i2]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) - [i1]Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich:
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. CoRR abs/1812.01859 (2018) - 2017
- [j9]Jan Rühaak
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) - 2016
- [j8]Johannes Lotz
Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images. IEEE Trans. Biomed. Eng. 63(9): 1812-1819 (2016) - 2015
- [c21]Alexander Derksen, Stefan Heldmann, Thomas Polzin, Benjamin Berkels
Image Registration with Sliding Motion Constraints for 4D CT Motion Correction. Bildverarbeitung für die Medizin 2015: 335-340 - [c20]Jan Rühaak, Alexander Derksen, Stefan Heldmann, Marc Hallmann, Hans Meine:
Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study. Medical Imaging: Image Processing 2015: 941337 - [c19]Stefan Heldmann, Thomas Polzin
An image registration framework for sliding motion with piecewise smooth deformations. SSVM 2015: 335-347 - [c18]Kanglin Chen, Alexander Derksen, Stefan Heldmann, Marc Hallmann, Benjamin Berkels
Deformable Image Registration with Automatic Non-Correspondence Detection. SSVM 2015: 360-371 - 2014
- [c17]Johannes Lotz, Judith Berger, Benedikt Müller, Kai Breuhahn, Niels Grabe
Zooming in: high resolution 3D reconstruction of differently stained histological whole slide images. Medical Imaging: Digital Pathology 2014: 904104 - 2013
- [j7]James A. Revie, David J. Stevenson, J. Geoffrey Chase, Christopher E. Hann, Bernard C. Lambermont, Alexandre Ghuysen, Philippe Kolh, Geoffrey M. Shaw, Stefan Heldmann, Thomas Desaive:
Validation of subject-specific cardiovascular system models from porcine measurements. Comput. Methods Programs Biomed. 109(2): 197-210 (2013) - [c16]Jan Rühaak, Lars König
A fully parallel algorithm for multimodal image registration using normalized gradient fields. ISBI 2013: 572-575 - [c15]Jan Rühaak, Stefan Heldmann, Till Kipshagen, Bernd Fischer:
Highly accurate fast lung CT registration. Medical Imaging: Image Processing 2013: 86690Y - 2012
- [c14]Herbert Thiele, Dennis Trede, Stefan Heldmann, Theodore Alexandrov, Bernd Fischer, Peter Maass:
3D Visualisierung von Organismen. GI-Jahrestagung 2012: 1535-1544 - 2011
- [j6]Christopher E. Hann, James A. Revie, David J. Stevenson, Stefan Heldmann, Thomas Desaive, C. B. Froissart, Bernard C. Lambermont, Alexandre Ghuysen, Philippe Kolh, Geoffrey M. Shaw, J. Geoffrey Chase:
Patient specific identification of the cardiac driver function in a cardiovascular system model. Comput. Methods Programs Biomed. 101(2): 201-207 (2011) - [c13]Janine Olesch, Björn Beuthien, Stefan Heldmann, Nils Papenberg, Bernd Fischer:
Fast intra-operative non-linear registration of 3D-CT to tracked, selected 2D-ultrasound slices. Medical Imaging: Image-Guided Procedures 2011: 79642R - 2010
- [c12]Nils Papenberg, Hanno Schumacher, Stefan Heldmann, Tobias Böhler, Doerte van Straaten, Stefan Wirtz:
Multimodale Registrierung von Knochen-Szintigraphien und Röntgenbildern. Bildverarbeitung für die Medizin 2010: 335-339 - [c11]Stefan Heldmann:
Multimodal registration of MR images with a novel least-squares distance measure. Medical Imaging: Image Processing 2010: 76230A - [c10]Björn Beuthien, Nils Papenberg, Stefan Heldmann, Bernd Fischer:
Volume-constrained image registration for pre- and post-operative CT liver data. Medical Imaging: Image Processing 2010: 762339
2000 – 2009
- 2009
- [j5]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) - [c9]Stefan Heldmann, Nils Papenberg:
A Scale-Space Approach for Image Registration of Vessel Structures. Bildverarbeitung für die Medizin 2009: 137-141 - [c8]Stefan Heldmann, Stephan Zidowitz:
Elastic registration of multiphase CT images of liver. Medical Imaging: Image Processing 2009: 72591H - [c7]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. Medical Imaging: Image Processing 2009: 725932 - [c6]Eldad Haber, Stefan Heldmann, Jan Modersitzki:
A Scale-Space Approach to Landmark Constrained Image Registration. SSVM 2009: 612-623 - [c5]Stefan Heldmann, Nils Papenberg:
A Variational Approach for Volume-to-Slice Registration. SSVM 2009: 624-635 - 2008
- [j4]Eldad Haber, Stefan Heldmann, Jan Modersitzki:
Adaptive Mesh Refinement for Nonparametric Image Registration. SIAM J. Sci. Comput. 30(6): 3012-3027 (2008) - [c4]Hanno Schumacher, Stefan Heldmann, Eldad Haber, Bernd Fischer:
Iterative Reconstruction of SPECT Images Using Adaptive Multi-level Refinement. Bildverarbeitung für die Medizin 2008: 318-322 - 2007
- [j3]Oliver Schmitt, Jan Modersitzki, Stefan Heldmann, Stefan Wirtz, Bernd Fischer:
Image Registration of Sectioned Brains. Int. J. Comput. Vis. 73(1): 5-39 (2007) - [j2]Eldad Haber, Stefan Heldmann:
An octree multigrid method for quasi-static Maxwell's equations with highly discontinuous coefficients. J. Comput. Phys. 223(2): 783-796 (2007) - [j1]Eldad Haber, Stefan Heldmann, Jan Modersitzki:
An Octree Method for Parametric Image Registration. SIAM J. Sci. Comput. 29(5): 2008-2023 (2007) - [c3]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 - 2006
- [b1]Stefan Heldmann:
Non-linear registration based on mutual information: theory, numerics, and application. University of Lübeck, 2006, ISBN 978-3-8325-1481-5, pp. 1-171 - [c2]William Gropp
Grid-based Image Registration. Grid-Based Problem Solving Environments 2006: 435-448 - 2004
- [c1]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
Coauthor Index
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last updated on 2024-10-31 20:11 CET by the dblp team
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