Fast Computation of Mutual Information in a Variational Image Registration Approach. - Stefan Heldmann; Oliver Mahnke; Daniel Potts; Jan Modersitzki; Bernd Fischer 001 (Bildverarbeitung für die Medizin, 2004)

Grid-based Image Registration. - William Gropp; Eldad Haber; Stefan Heldmann; David E. Keyes; Neill Miller; Jennifer M. Schopf; Tianzhi Yang (Grid-Based Problem Solving Environments, 2006)

Non-linear registration based on mutual information: theory, numerics, and application. - Stefan Heldmann (2006)

A Fast and Flexible Image Registration Toolbox. - Nils Papenberg; Hanno Schumacher; Stefan Heldmann; Stefan Wirtz 001; Silke Bommersheim; Konstantin Ens; Jan Modersitzki; Bernd Fischer 001 (Bildverarbeitung für die Medizin, 2007)

Image Registration of Sectioned Brains. - Oliver Schmitt 001; Jan Modersitzki; Stefan Heldmann; Stefan Wirtz 001; Bernd Fischer 001 (Int. J. Comput. Vis., 2007)

An octree multigrid method for quasi-static Maxwell's equations with highly discontinuous coefficients. - Eldad Haber; Stefan Heldmann (J. Comput. Phys., 2007)

An Octree Method for Parametric Image Registration. - Eldad Haber; Stefan Heldmann; Jan Modersitzki (SIAM J. Sci. Comput., 2007)

Iterative Reconstruction of SPECT Images Using Adaptive Multi-level Refinement. - Hanno Schumacher; Stefan Heldmann; Eldad Haber; Bernd Fischer 001 (Bildverarbeitung für die Medizin, 2008)

Adaptive Mesh Refinement for Nonparametric Image Registration. - Eldad Haber; Stefan Heldmann; Jan Modersitzki (SIAM J. Sci. Comput., 2008)

A Scale-Space Approach for Image Registration of Vessel Structures. - Stefan Heldmann; Nils Papenberg (Bildverarbeitung für die Medizin, 2009)

Improving an affine and non-linear image registration and/or segmentation task by incorporating characteristics of the displacement field. - Konstantin Ens; Stefan Heldmann; Jan Modersitzki; Bernd Fischer 001 (Image Processing, 2009)

Elastic registration of multiphase CT images of liver. - Stefan Heldmann; Stephan Zidowitz (Image Processing, 2009)

A Scale-Space Approach to Landmark Constrained Image Registration. - Eldad Haber; Stefan Heldmann; Jan Modersitzki (SSVM, 2009)

A Variational Approach for Volume-to-Slice Registration. - Stefan Heldmann; Nils Papenberg (SSVM, 2009)

3D ultrasound-CT registration of the liver using combined landmark-intensity information. - Thomas Lange; Nils Papenberg; Stefan Heldmann; Jan Modersitzki; Bernd Fischer 001; Hans Lamecker; Peter-Michael Schlag (Int. J. Comput. Assist. Radiol. Surg., 2009)

Multimodale Registrierung von Knochen-Szintigraphien und Röntgenbildern. - Nils Papenberg; Hanno Schumacher; Stefan Heldmann; Tobias Böhler; Doerte van Straaten; Stefan Wirtz 001 (Bildverarbeitung für die Medizin, 2010)

Volume-constrained image registration for pre- and post-operative CT liver data. - Björn Beuthien; Nils Papenberg; Stefan Heldmann; Bernd Fischer 001 (Image Processing, 2010)

Multimodal registration of MR images with a novel least-squares distance measure. - Stefan Heldmann (Image Processing, 2010)

Fast intra-operative non-linear registration of 3D-CT to tracked, selected 2D-ultrasound slices. - Janine Olesch; Björn Beuthien; Stefan Heldmann; Nils Papenberg; Bernd Fischer 001 (Image-Guided Procedures, 2011)

Patient specific identification of the cardiac driver function in a cardiovascular system model. - 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 (Comput. Methods Programs Biomed., 2011)

3D Visualisierung von Organismen. - Herbert Thiele; Dennis Trede; Stefan Heldmann; Theodore Alexandrov; Bernd Fischer 001; Peter Maass (GI-Jahrestagung, 2012)

A fully parallel algorithm for multimodal image registration using normalized gradient fields. - Jan Rühaak; Lars König; Marc Hallmann; Nils Papenberg; Stefan Heldmann; Hanno Schumacher; Bernd Fischer 001 (ISBI, 2013)

Highly accurate fast lung CT registration. - Jan Rühaak; Stefan Heldmann; Till Kipshagen; Bernd Fischer 001 (Image Processing, 2013)

Validation of subject-specific cardiovascular system models from porcine measurements. - 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 (Comput. Methods Programs Biomed., 2013)

Zooming in: high resolution 3D reconstruction of differently stained histological whole slide images. - Johannes Lotz 002; Judith Berger; Benedikt Müller 001; Kai Breuhahn; Niels Grabe; Stefan Heldmann; André Homeyer; Bernd Lahrmann; Hendrik Laue; Janine Olesch; Michael Schwier; Oliver Sedlaczek; et al. (Digital Pathology, 2014)

Image Registration with Sliding Motion Constraints for 4D CT Motion Correction. - Alexander Derksen; Stefan Heldmann; Thomas Polzin; Benjamin Berkels (Bildverarbeitung für die Medizin, 2015)

Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study. - Jan Rühaak; Alexander Derksen; Stefan Heldmann; Marc Hallmann; Hans Meine (Image Processing, 2015)

Deformable Image Registration with Automatic Non-Correspondence Detection. - Kanglin Chen; Alexander Derksen; Stefan Heldmann; Marc Hallmann; Benjamin Berkels (SSVM, 2015)

An image registration framework for sliding motion with piecewise smooth deformations. - Stefan Heldmann; Thomas Polzin; Alexander Derksen; Benjamin Berkels (SSVM, 2015)

Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images. - Johannes Lotz 002; Janine Olesch; Benedikt Müller 001; Thomas Polzin; P. Galuschka; J. M. Lotz; Stefan Heldmann; Hendrik Laue; Margarita Gonzalez-Vallinas; Arne Warth; Bernd Lahrmann; Niels Grabe; et al. (IEEE Trans. Biomed. Eng., 2016)

Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. - Jan Rühaak; Thomas Polzin; Stefan Heldmann; Ivor J. A. Simpson; Heinz Handels; Jan Modersitzki; Mattias P. Heinrich (IEEE Trans. Medical Imaging, 2017)

Rigid Lens - Locally Rigid Approximations of Deformable Registration for Change Assessment in Thorax-Abdomen CT Follow-Up Scans. - Sonja Jäckle; Stefan Heldmann (RAMBO+BIA+TIA@MICCAI, 2018)

Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. - Alessa Hering; Sven Kuckertz; Stefan Heldmann; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2019)

Shape Sensing with Fiber Bragg Grating Sensors - A Realistic Model of Curvature Interpolation for Shape Reconstruction. - Sonja Jäckle; Jan Strehlow; Stefan Heldmann (Bildverarbeitung für die Medizin, 2019)

mlVIRNET: Multilevel Variational Image Registration Network. - Alessa Hering; Bram van Ginneken; Stefan Heldmann (MICCAI (6), 2019)

Unsupervised learning for large motion thoracic CT follow-up registration. - Alessa Hering; Stefan Heldmann (Image Processing, 2019)

Variational Registration of Multiple Images with the SVD Based mathrm Sq mathrm N Distance Measure. - Kai Brehmer; Hari Om Aggrawal; Stefan Heldmann; Jan Modersitzki (SSVM, 2019)

Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans. - Alessa Hering; Sven Kuckertz; Stefan Heldmann; Mattias P. Heinrich (Int. J. Comput. Assist. Radiol. Surg., 2019)

Robust, fast and accurate: a 3-step method for automatic histological image registration. - Johannes Lotz 002; Nick Weiss; Stefan Heldmann (CoRR, 2019)

Variational Registration of Multiple Images with the SVD based SqN Distance Measure. - Kai Brehmer; Hari Om Aggrawal; Stefan Heldmann; Jan Modersitzki (CoRR, 2019)

Abstract: mlVIRNET. - Alessa Hering; Stefan Heldmann (Bildverarbeitung für die Medizin, 2020)

Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy. - Sven Kuckertz; Nils Papenberg; Jonas Honegger; Tomasz Morgas; Benjamin Haas; Stefan Heldmann (Bildverarbeitung für die Medizin, 2020)

Intensity-Based 2D-3D Registration Using Normalized Gradient Fields. - Annkristin Lange; Stefan Heldmann (Bildverarbeitung für die Medizin, 2020)

Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge. - Stephanie Häger; Stefan Heldmann; Alessa Hering; Sven Kuckertz; Annkristin Lange (MICCAI (Challenges), 2020)

Deep-learning-based CT-CBCT image registration for adaptive radio therapy. - Sven Kuckertz; Nils Papenberg; Jonas Honegger; Tomasz Morgas; Benjamin Haas; Stefan Heldmann (Image Processing, 2020)

Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy. - Sven Kuckertz; Nils Papenberg; Jonas Honegger; Tomasz Morgas; Benjamin Haas; Stefan Heldmann (WBIR, 2020)

Multilevel 2D-3D Intensity-Based Image Registration. - Annkristin Lange; Stefan Heldmann (WBIR, 2020)

Constraining Volume Change in Learned Image Registration for Lung CTs. - Alessa Hering; Stephanie Häger; Jan Hendrik Moltz; Nikolas Lessmann; Stefan Heldmann; Bram van Ginneken (CoRR, 2020)

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. - Jirí Borovec; Jan Kybic; Ignacio Arganda-Carreras; Dmitry V. Sorokin; Gloria Bueno; Alexander V. Khvostikov; Spyridon Bakas; Eric I-Chao Chang; Stefan Heldmann; Kimmo Kartasalo; Leena Latonen; Johannes Lotz 002; et al. (IEEE Trans. Medical Imaging, 2020)

A system for fully automated monitoring of lesion evolution over time in multiple sclerosis. - Sven Kuckertz; Florian Weiler; Britta Matusche; Carsten Lukas; Lothar Spies; Jan Klein 001; Stefan Heldmann (Computer-Aided Diagnosis, 2021)

Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge. - Alessa Hering; Annkristin Lange; Stefan Heldmann; Stephanie Häger; Sven Kuckertz (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology. - Johannes Lotz 002; Nick Weiss; Jeroen van der Laak; Stefan Heldmann (CoRR, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

CNN-based lung CT registration with multiple anatomical constraints. - Alessa Hering; Stephanie Häger; Jan Hendrik Moltz; Nikolas Lessmann; Stefan Heldmann; Bram van Ginneken (Medical Image Anal., 2021)

HyReCo - Hybrid re-stained and consecutive histological serial sections. - Jeroen van der Laak; Johannes Lotz 002; Nick Weiss; Stefan Heldmann (IEEE DataPort, 2021)

Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn). - Stephanie Häger; Annkristin Lange; Stefan Heldmann; Jan Modersitzki; Andreas Petersik; Manuel Schröder; Heiko Gottschling; Thomas Lieth; Erich Zähringer; Jan Hendrik Moltz (Bildverarbeitung für die Medizin, 2022)

A Python SDK for Authoring and using Computer-interpretable Guidelines. - Marcus Barann; Stefan Heldmann; Jan Klein 001; Stefan Kraß (BIOINFORMATICS, 2022)

Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context. - Luca Canalini; Jan Klein 001; Annika Gerken; Stefan Heldmann; Alessa Hering; Horst K. Hahn (BrainLes@MICCAI, 2022)

Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity. - Sven Kuckertz; Jan Klein 001; Christiane Engel; Benjamin Geisler; Stefan Kraß; Stefan Heldmann (Computer-Aided Diagnosis, 2022)

Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition. - Roland Haase; Stefan Heldmann; Jan Lellmann (J. Math. Imaging Vis., 2022)

Unsupervised learning of healthy anatomy for anomaly detection in brain CT scans. - Sina Walluscheck; Luca Canalini; Jan Klein 001; Stefan Heldmann (Computer-Aided Diagnosis, 2023)

Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations. - Sven Kuckertz; Stefan Heldmann; Jan Hendrik Moltz (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs. - Sina Walluscheck; Luca Canalini; Hannah Strohm; Susanne Diekmann; Jan Klein 001; Stefan Heldmann (Int. J. Comput. Assist. Radiol. Surg., 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Joint Learning of Image Registration and Change Detection for Lung CT Images. - Temke Kohlbrandt; Jan Hendrik Moltz; Stefan Heldmann; Alessa Hering; Jan Lellmann (Bildverarbeitung für die Medizin, 2024)

Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction. - Kai Geißler; Jochen G. Hirsch; Stefan Heldmann; Hans Meine (MIDL, 2024)

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. - Philippe Weitz; Masi Valkonen; Leslie Solorzano; Circe Carr; Kimmo Kartasalo; Constance Boissin; Sonja Koivukoski; Aino Kuusela; Dusan Rasic; Yanbo Feng; Sandra Kristiane Sinius Pouplier; Abhinav Sharma; et al. (Medical Image Anal., 2024)

Inferring 3D finger bone shapes from 2D images - a detailed analysis of shape accuracy. - Anna Rörich; Annkristin Lange; Stefan Heldmann; Jan Hendrik Moltz; Lars Walczak; Sinef Yarar-Schlickewei; Felix Güttler; Joachim Georgii (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)

Internal Organ Localization using Depth Images - A Framework for Automated MRI Patient Positioning. - Eytan Kats; Kai Geißler; Jochen G. Hirsch; Stefan Heldmann; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2025)

Internal Organ Localization Using Depth Images. - Eytan Kats; Kai Geißler; Jochen G. Hirsch; Stefan Heldmann; Mattias P. Heinrich (CoRR, 2025)