@Article{Mannel2,
Author={{Mannel, Florian}},
Title={{On the convergence of Broyden’s method and some accelerated schemes for singular problems}},
FJournal={{IMA Journal of Numerical Analysis}},
Volume={},
Number={},
Pages={1--29},
Year={2022},
Language={English},
DOI= 10.1093/imanum/drab096},
eprint={https://academic.oup.com/imajna/advance-article-pdf/doi/10.1093/imanum/drab096/42198372/drab096.pdf},
}

@Article{Mannel3,
Author={{Mannel, Florian and Rund, Armin}},
Title={{A hybrid semismooth quasi-Newton method for structured nonsmooth operator equations in Banach spaces}},
FJournal={{Journal of Convex Analysis}},
Journal={{JoCA}},
Volume={29},
Number={1},
Pages={183--204},
Year={2022},
Language={English},
url={https://www.heldermann.de/JCA/JCA29/JCA291/jca29011.htm},
}

@Article{Mannel5,
title={{SHINE}: {SH}aring the {IN}verse Estimate from the forward pass for bi-level optimization and implicit models},
author={Ramzi, Zaccharie and Mannel, Florian and Bai, Shaojie and Starck, Jean-Luc and Ciuciu, Philippe and Moreau, Thomas},
FJournal={The Tenth International Conference on Learning Representations (ICLR)},
year={2022},
Language={English},
url={https://openreview.net/forum?id=-ApAkox5mp}
}

@incollection{jackle2022ester,
  title={EsteR--A Digital Toolkit for COVID-19 Decision Support in Local Health Authorities},
  author={J{\"a}ckle, Sonja and Alpers, Rieke and K{\"u}hne, Lisa and Schumacher, Jakob and Geisler, Benjamin and Westphal, Max},
  booktitle={German Medical Data Sciences 2022--Future Medicine: More Precise, More Integrative, More Sustainable!},
  pages={17--24},
  year={2022},
  publisher={IOS Press}
}

@Article{bednarski2022inverse,
  author  = {Danielle Bednarski and Jan Lellmann},
  title   = {Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case},
  journal = {J Math Imaging Vis},
  year    = {2022},
  doi     = {10.1007/s10851-022-01125-8},
  url = {https://link.springer.com/article/10.1007/s10851-022-01125-8},
}

@InProceedings{pmlr-v172-kanter22a,
title = {A Flexible Meta Learning Model for Image Registration},
author = {Kanter, Frederic and Lellmann, Jan},
booktitle = {Proceedings of The 5th International Conference on Medical Imaging with Deep Learning},
pages = {638-652},
year = {2022},
editor = {Konukoglu, Ender and Menze, Bjoern and Venkataraman, Archana and Baumgartner, Christian and Dou, Qi and Albarqouni, Shadi},  
volume =  {172},  
series =  {Proceedings of Machine Learning Research},  
month =  {06--08 Jul},  
publisher = {PMLR}
}

@phdthesis{hering2022deep,
  title={Deep-Learning-based Image Registration and Tumor Follow-Up Analysis},
  author={Hering, AD},
  year={2022},
  school={[Sl]:[Sn]}
}

@inproceedings{nicke2022realtime,
  title={Realtime optical flow estimation on vein and artery ultrasound sequences based on knowledge-distillation},
  author={Nicke, Till and Graf, Laura and Lauri, Mikko and Mischkewitz, Sven and Frintrop, Simone and Heinrich, Mattias P},
  booktitle={International Workshop on Biomedical Image Registration},
  pages={134--143},
  year={2022},
  organization={Springer}
}

@article{hering2022learn2reg,
  title={Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning},
  author={Hering, Alessa and Hansen, Lasse and Mok, Tony CW and Chung, Albert CS and Siebert, Hanna and H{\"a}ger, Stephanie and Lange, Annkristin and Kuckertz, Sven and Heldmann, Stefan and Shao, Wei and others},
  journal={IEEE Transactions on Medical Imaging},
  volume={42},
  number={3},
  pages={697--712},
  year={2022},
  publisher={IEEE}
}

@inproceedings{barann2022python,
  title={A Python SDK for Authoring and using Computer-interpretable Guidelines.},
  author={Barann, Marcus and Heldmann, Stefan and Klein, Jan and Kra{\ss}, Stefan},
  booktitle={BIOINFORMATICS},
  pages={99--106},
  year={2022}
}

@article{fuchs2022vivo,
  title={In-vivo assessment of meniscal movement in the knee joint during internal and external rotation under load},
  author={Fuchs, Andreas and Georgii, Joachim and Taghizadeh, Elham and Heldmann, Stefan and Lange, Thomas and Bendak, Sebastian F and Siegel, Markus and Yilmaz, Tayfun and Schmal, Hagen and Izadpanah, Kaywan},
  journal={Journal of experimental orthopaedics},
  volume={9},
  number={1},
  pages={102},
  year={2022},
  publisher={Springer}
}

@inproceedings{kuckertz2022fully,
  title={Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity},
  author={Kuckertz, Sven and Klein, Jan and Engel, Christiane and Geisler, Benjamin and Kra{\ss}, Stefan and Heldmann, Stefan},
  booktitle={Medical Imaging 2022: Computer-Aided Diagnosis},
  volume={12033},
  pages={469--473},
  year={2022},
  organization={SPIE}
}

@article{weber2022association,
  title={Association of iron rim lesions with brain and cervical cord volume in relapsing multiple sclerosis},
  author={Weber, Claudia E and Kr{\"a}mer, Julia and Wittayer, Matthias and Gregori, Johannes and Randoll, Sigurd and Weiler, Florian and Heldmann, Stefan and Ro{\ss}manith, Christina and Platten, Michael and Gass, Achim and others},
  journal={European radiology},
  volume={32},
  number={3},
  pages={2012--2022},
  year={2022},
  publisher={Springer}
}

@article{sieren2022automated,
  title={Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach},
  author={Sieren, Malte Maria and Widmann, Cornelia and Weiss, Nick and Moltz, Jan Hendrik and Link, Florian and Wegner, Franz and Stahlberg, Erik and Horn, Marco and Oecherting, Thekla Helene and Goltz, Jan Peter and others},
  journal={European radiology},
  volume={32},
  number={1},
  pages={690--701},
  year={2022},
  publisher={Springer}
}

@article{romberg2022empaia,
  title={EMPAIA app interface: an open and vendor-neutral interface for AI applications in pathology},
  author={Romberg, Daniel and Strohmenger, Klaus and Jansen, Christoph and K{\"u}ster, Tobias and Weiss, Nick and Gei{\ss}ler, Christian and So{\l}tysi{\'n}ski, Tomasz and Takla, Michael and Hufnagl, Peter and Zerbe, Norman and others},
  journal={Computer methods and programs in biomedicine},
  volume={215},
  pages={106596},
  year={2022},
  publisher={Elsevier}
}

@article{baheti2021brain,
  title={The brain tumor sequence registration (brats-reg) challenge: Establishing correspondence between pre-operative and follow-up mri scans of diffuse glioma patients},
  author={Baheti, Bhakti and Chakrabarty, Satrajit and Akbari, Hamed and Bilello, Michel and Wiestler, Benedikt and Schwarting, Julian and Calabrese, Evan and Rudie, Jeffrey and Abidi, Syed and Mousa, Mina and Villanueva-Meyer, Javier and Fields, Brandon K.K. and Kofler, Florian and Shinohara, Russell Takeshi and Iglesias, Juan Egenio and Mok, Tony C W and Chung, Albert C S and Wodzinski, Marek and Jurgas, Artur and Marini, Niccolo and Atzori, Manfredo and Müller, Henning and Großbröhmer, Christoph and Siebert, Hanna and Hansen, Lasse and Heinrich, Mattias P and Canalini, Luca and Klein, Jan and Gerken, Annika and Heldmann, Stefan and Hering, Alessa and others},
  journal={arXiv preprint arXiv:2112.06979},
  year={2021}
}

@inproceedings{kuckertz2021system,
  title={A system for fully automated monitoring of lesion evolution over time in multiple sclerosis},
  author={Kuckertz, Sven and Weiler, Florian and Matusche, Britta and Lukas, Carsten and Spies, Lothar and Klein, Jan and Heldmann, Stefan},
  booktitle={Medical Imaging 2021: Computer-Aided Diagnosis},
  volume={11597},
  pages={553--558},
  year={2021},
  organization={SPIE}
}

@inproceedings{bednarski2021inverse,
  title={Inverse scale space iterations for non-convex variational problems using functional lifting},
  author={Bednarski, Danielle and Lellmann, Jan},
  booktitle={International Conference on Scale Space and Variational Methods in Computer Vision},
  pages={229--241},
  year={2021},
  organization={Springer}
}

@article{lellmann2021guest,
  title={Guest Editorial: Scale Space and Variational Methods},
  author={Lellmann, Jan and Modersitzki, Jan},
  journal={Journal of Mathematical Imaging and Vision},
  volume={63},
  number={2},
  pages={131--132},
  year={2021},
  publisher={Springer}
}

@phdthesis{2021-PhD-Brehmer,
  Author = {{Kai Brehmer}},
  Title = {SqN: A Novel Distance Measure for Multiple Images and Applications},
  School = {Institute of Mathematics and Image Computing, University of L\"ubeck},
  Year = {2021},
}

@incollection{jaeckle20213BVM_3DCatheter,
  title={Abstract: 3D Guidance Including Shape Sensing of a Stentgraft System},
  author={J{\"a}ckle, Sonja and Garc\'ia-V{\'a}zquez, Ver{\'o}nica and Eixmann, Tim and Matysiak, Florian and von Haxthausen, Felix and Sieren, Malte and Schulz-Hildebrandt, Hinnerk and H{\"u}ttmann, Gereon and Ernst, Floris and Kleemann, Markus and P{\"a}tz, Torben},
  booktitle={Bildverarbeitung f{\"u}r die Medizin 2021},
  pages={34--34},
  year={2021},
  doi={10.1007/978-3-658-33198-6_9},
  url={https://link.springer.com/chapter/10.1007%2F978-3-658-33198-6_9},
  keywords={NavEVAR},
  publisher={Springer}
}

@Article{jaeckle2021IJERPH,
AUTHOR = {Jäckle, Sonja and Röger, Elias and Dicken, Volker and Geisler, Benjamin and Schumacher, Jakob and Westphal, Max},
TITLE = {A Statistical Model to Assess Risk for Supporting COVID-19 Quarantine Decisions},
JOURNAL = {International Journal of Environmental Research and Public Health},
VOLUME = {18},
YEAR = {2021},
NUMBER = {17},
ARTICLE-NUMBER = {9166},
URL = {https://www.mdpi.com/1660-4601/18/17/9166},
ISSN = {1660-4601},
ABSTRACT = {In Germany, local health departments are responsible for surveillance of the current pandemic situation. One of their major tasks is to monitor infected persons. For instance, the direct contacts of infectious persons at group meetings have to be traced and potentially quarantined. Such quarantine requirements may be revoked, when all contact persons obtain a negative polymerase chain reaction (PCR) test result. However, contact tracing and testing is time-consuming, costly and not always feasible. In this work, we present a statistical model for the probability that no transmission of COVID-19 occurred given an arbitrary number of negative test results among contact persons. Hereby, the time-dependent sensitivity and specificity of the PCR test are taken into account. We employ a parametric Bayesian model which combines an adaptable Beta-Binomial prior and two likelihood components in a novel fashion. This is illustrated for group events in German school classes. The first evaluation on a real-world dataset showed that our approach can support important quarantine decisions with the goal to achieve a better balance between necessary containment of the pandemic and preservation of social and economic life. Future work will focus on further refinement and evaluation of quarantine decisions based on our statistical model.},
DOI = {10.3390/ijerph18179166}
}

@article{jaeckle2021CURAC,
author = {Sonja Jäckle and Tim Eixmann and Florian Matysiak and Malte Maria Sieren and Marco Horn and Hinnerk Schulz-Hildebrandt and Gereon Hüttmann and Torben Pätz},
doi = {doi:10.1515/cdbme-2021-1004},
url = {https://doi.org/10.1515/cdbme-2021-1004},
title = {3D Stent Graft Guidance based on Tracking Systems for Endovascular Aneurysm Repair},
journal = {Current Directions in Biomedical Engineering},
number = {1},
volume = {7},
year = {2021},
keywords={NavEVAR},
pages = {17--20}
}

@phdthesis{jackle2021guidance,
  title={Guidance of medical instruments based on tracking systems},
  author={Sonja J{\"a}ckle},
  year={2021},
  school={Jacobs University Bremen}
}

@article{jaeckle2021IJMRCAS,
author = {Jäckle, Sonja and Lange, Annkristin and García-Vázquez, Verónica and Eixmann, Tim and Matysiak, Florian and Sieren, Malte Maria and Horn, Marco and Schulz-Hildebrandt, Hinnerk and Hüttmann, Gereon and Ernst, Floris and Heldmann, Stefan and Pätz, Torben and Preusser, Tobias},
title = {Instrument localisation for endovascular aneurysm repair: Comparison of two methods based on tracking systems or using imaging},
journal = {The International Journal of Medical Robotics and Computer Assisted Surgery},
volume = {17},
number = {6},
pages = {e2327},
year = {2021},
keyword = {NavEVAR}
}

@article{lotz2021high,
  title={High-resolution image registration of consecutive and re-stained sections in histopathology},
  author={Lotz, Johannes and Weiss, Nick and van der Laak, Jeroen and Heldmann, Stefan},
  journal={arXiv preprint arXiv:2106.13150},
  year={2021}
}

@Proceedings{Lellmann2021,
  title  = {Journal of Mathematical Imaging and Vision, Special Issue on Scale Space and Variational Methods in Computer Vision},
  year   = {2021},
  author = {Lellmann, J. and Modersitzki, J.},
}

@Article{Diepeveen2021,
  author  = {Diepeveen, W. and Lellmann, J.},
  title   = {An Inexact Semismooth {Newton} Method on {Riemannian} Manifolds with Application to Duality-Based Total Variation Denoising},
  journal = {{SIAM} Journal on Imaging Sciences},
  year    = {2021},
  volume  = {14},
  number  = {4},
  pages   = {1565--1600},
}

@article{Homeyer2021, 
doi={10.4103/jpi.jpi_84_20}, 
url={https://doi.org/10.4103%2Fjpi.jpi_84_20}, 
year={2021}, 
publisher={Elsevier {BV}}, 
volume={12}, 
number={1}, 
pages={13}, 
author={Homeyer, André and Lotz, Johannes and Schwen, Lars Ole and Weiss, Nick and Romberg, Daniel and Höfener, Henning and Zerbe, Norman and Hufnagl, Peter}, 
title={Artificial intelligence in pathology: From prototype to product}, 
journal={Journal of Pathology Informatics}
}

@article{hering2021learn2reg,
  title={Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning},
  author={Hering, Alessa and Hansen, Lasse and Mok, Tony CW and Chung, Albert and Siebert, Hanna and H{\"a}ger, Stephanie and Lange, Annkristin and Kuckertz, Sven and Heldmann, Stefan and Shao, Wei and others},
  journal={arXiv preprint arXiv:2112.04489},
  year={2021}
}

@inproceedings{hering2021fraunhofer,
  title={Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge},
  author={Hering, Alessa and Lange, Annkristin and Heldmann, Stefan and H{\"a}ger, Stephanie and Kuckertz, Sven},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={147--152},
  year={2021},
  organization={Springer}
}

@inproceedings{hering2021whole,
  title={Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies},
  author={Hering, Alessa and Peisen, Felix and Amaral, Teresa and Gatidis, Sergios and Eigentler, Thomas and Othman, Ahmed and Moltz, Jan Hendrik},
  booktitle={Medical Imaging with Deep Learning},
  pages={312--326},
  year={2021},
  organization={PMLR}
}

@article{hering2021cnn,
  title={CNN-based lung CT registration with multiple anatomical constraints},
  author={Hering, Alessa and H{\"a}ger, Stephanie and Moltz, Jan and Lessmann, Nikolas and Heldmann, Stefan and van Ginneken, Bram},
  journal={Medical Image Analysis},
  volume={72},
  pages={102139},
  year={2021},
  publisher={Elsevier}
}

@article{roth2021rapid,
  title={Rapid artificial intelligence solutions in a pandemic-the COVID-19-20 lung CT lesion segmentation challenge},
  author={Roth, Holger R and Xu, Ziyue and Diez, Carlos Tor and Jacob, Ramon Sanchez and Zember, Jonathan and Molto, Jose and Li, Wenqi and Xu, Sheng and Turkbey, Baris and Turkbey, Evrim and others},
  journal={Research Square},
  year={2021},
  publisher={American Journal Experts}
}

@Article{Mannel4,
Author={{Mannel, Florian}},
Title={{On the order of convergence of Broyden’s method}},
FJournal={{Calcolo}},
Journal={{Calcolo}},
Volume={58},
Number={4},
Pages={1--21},
Year={2021},
Language={English},
doi={10.1007/s10092-021-00441-6},
}

@article{krenzlin2021decreased,
  title={Decreased superoxide dismutase concentrations (SOD) in plasma and CSF and increased circulating total antioxidant capacity (TAC) are associated with unfavorable neurological outcome after aneurysmal subarachnoid hemorrhage},
  author={Krenzlin, Harald and Wesp, Dominik and Schmitt, Jan and Frenz, Christina and Kurz, Elena and Masomi-Bornwasser, Julia and Lotz, Johannes and Ringel, Florian and Kerz, Thomas and Keric, Naureen},
  journal={Journal of Clinical Medicine},
  volume={10},
  number={6},
  pages={1188},
  year={2021},
  publisher={MDPI}
}

@article{masomi2021influence,
  title={The influence of oxidative stress on neurological outcomes in spontaneous intracerebral hemorrhage},
  author={Masomi-Bornwasser, Julia and Kurz, Elena and Frenz, Christina and Schmitt, Jan and Wesp, Dominik MA and K{\"o}nig, Jochem and Lotz, Johannes and Ringel, Florian and Kerz, Thomas and Krenzlin, Harald and others},
  journal={Biomolecules},
  volume={11},
  number={11},
  pages={1615},
  year={2021},
  publisher={MDPI}
}

@article{iuga2021automated,
  title={Automated mapping and N-Staging of thoracic lymph nodes in contrast-enhanced CT scans of the chest using a fully convolutional neural network},
  author={Iuga, Andra-Iza and Lossau, Tanja and Caldeira, Liliana Laurenco and Rinneburger, Miriam and Lennartz, Simon and Hokamp, Nils Gro{\ss}e and P{\"u}sken, Michael and Carolus, Heike and Maintz, David and Klinder, Tobias and others},
  journal={European Journal of Radiology},
  volume={139},
  pages={109718},
  year={2021},
  publisher={Elsevier}
}

@article{hering2020constraining,
  title={Constraining volume change in learned image registration for lung CTs},
  author={Hering, Alessa and H{\"a}ger, Stephanie and Moltz, Jan and Lessmann, Nikolas and Heldmann, Stefan and van Ginneken, Bram},
  journal={arXiv preprint arXiv:2011.14372},
  pages={3},
  year={2020}
}

@inproceedings{hering2020mlvirnet,
  title={mlVIRNET: Improved Deep Learning Registration Using a Coarse to Fine Approach to Capture all Levels of Motion},
  author={Hering, Alessa and Heldmann, Stefan},
  booktitle={Bildverarbeitung f{\"u}r die Medizin 2020: Algorithmen--Systeme--Anwendungen. Proceedings des Workshops vom 15. bis 17. M{\"a}rz 2020 in Berlin},
  pages={175--175},
  year={2020},
  organization={Springer}
}

@Article{CoronaLellmannNestorEtAl2020,
  author =  {Corona, V. and Lellmann, J. and Nestor, P. and Sch\"onlieb, C.-B. and Acosta-Cabronero, J.},
  title =   {A multi-contrast MRI approach to thalamus segmentation},
  journal = {Human Brain Mapping},
  year =    {2020}
}

@incollection{PolzinEtAl2020DiscretizeOptimize,
title = "A discretize–optimize approach for LDDMM registration",
editor = "Xavier Pennec and Stefan Sommer and Tom Fletcher",
booktitle = "Riemannian Geometric Statistics in Medical Image Analysis",
publisher = "Academic Press",
pages = "479 - 532",
year = "2020",
isbn = "978-0-12-814725-2",
doi = "https://doi.org/10.1016/B978-0-12-814725-2.00022-4",
url = "http://www.sciencedirect.com/science/article/pii/B9780128147252000224",
author = "Thomas Polzin and Marc Niethammer and François-Xavier Vialard and Jan Modersitzki",
keywords = "LDDMM, Discretize–Optimize, Image Registration, Optimal Control, Lung, Computed Tomography, Runge–Kutta Methods",
abstract = " Large deformation diffeomorphic metric mapping (LDDMM) is a popular approach for deformable image registration with nice mathematical properties. LDDMM encodes spatial deformations through time-varying velocity fields. Hence registration requires optimization over these time-varying velocity fields, resulting in a large-scale constrained optimization problem. Typical numerical solution approaches for LDDMM use an optimize–discretize strategy, where optimality conditions are derived in the continuum and subsequently discretized and solved. Here we explore solution methods based on the discretize–optimize approach and discuss ramifications for popular LDDMM relaxation and shooting approaches. The focus is on a consistent method that uses the appropriate Runge–Kutta methods for the solution of all arising PDEs in the Eulerian frame. Additionally, we discuss both run-time and memory consumption requirements and present an approach that makes the registration suitable for standard PCs. We demonstrate the practicality of our proposed approach in the context of image registration applied to 3D computed tomography (CT) scans of the lung."
}

@phdthesis{2020-PhD-Vogt,
  Author = {Thomas Vogt},
  Title = {Measure-Valued Variational Models with Applications in Image Processing},
  School = {Institute of Mathematics and Image Computing, University of L\"ubeck},
  Year = {2020},
}

@inproceedings{jaeckle2020SPIE,
author = {Jäckle, Sonja and García-Vázquez, Verónica and von Haxthausen, Felix and Eixmann, Tim and Sieren, Malte Maria and Schulz-Hildebrandt, Hinnerk and Hüttmann, Gereon and Ernst, Floris and Kleemann, Markus and Paetz, Torben },
title = {{3D catheter guidance including shape sensing for endovascular navigation}},
volume = {11315},
booktitle = {Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling},
editor = {Baowei Fei and Cristian A. Linte},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {21 -- 29},
keywords = {catheter guidance, electromagnetic tracking, fiber Bragg gratings, shape sensing, endovascular navigation, endovascular aneurysm repair, NavEVAR},
year = {2020},
doi = {10.1117/12.2548094},
URL = {https://doi.org/10.1117/12.2548094}
}

@incollection{jaeckle2020BVM_FOSS,
  title={Abstract: Fiber Optical Shape Sensing of Flexible Instruments},
  author={J{\"a}ckle, Sonja and Eixmann, Tim and Schulz-Hildebrandt, Hinnerk and H{\"u}ttmann, Gereon and P{\"a}tz, Torben},
  booktitle={Bildverarbeitung f{\"u}r die Medizin 2020},
  pages={314--314},
  year={2020},
  keywords={NavEVAR},
  url={https://link.springer.com/chapter/10.1007/978-3-658-29267-6_70},
  doi={10.1007/978-3-658-29267-6_70},
  publisher={Springer}
}

@incollection{jaeckle20203BVM_3DCatheter,
  title={Abstract: 3D Catheter Guidance Including Shape Sensing for Endovascular Navigation},
  author={J{\"a}ckle, Sonja and Garc\'ia-V{\'a}zquez, Ver{\'o}nica and von Haxthausen, Felix and Eixmann, Tim and Sieren, Malte Maria and Schulz-Hildebrandt, Hinnerk and H{\"u}ttmann, Gereon and Ernst, Floris and Kleemann, Markus and P{\"a}tz, Torben},
  booktitle={Bildverarbeitung f{\"u}r die Medizin 2020},
  pages={261--261},
  year={2020},
  doi={10.1007/978-3-658-29267-6_58},
  url={https://link.springer.com/chapter/10.1007/978-3-658-29267-6_58},
  keywords={NavEVAR},
  publisher={Springer}
}

@incollection{lange2020intensity,
  title={Intensity-Based 2D-3D Registration Using Normalized Gradient Fields},
  author={Lange, Annkristin and Heldmann, Stefan},
  booktitle={Bildverarbeitung f{\"u}r die Medizin 2020},
  pages={163--168},
  year={2020},
  keywords={NavEVAR},
  url={https://doi.org/10.1007/978-3-658-29267-6_33},
  publisher={Springer}
}

@article{jaeckle2020IJCARS,
author = {Jäckle, Sonja and García-Vázquez, Verónica and Eixmann, Tim and Matysiak, Florian and von Haxthausen, Felix, and Sieren, Malte Maria and Schulz-Hildebrandt, Hinnerk and Hüttmann, Gereon and Ernst, Floris and Kleemann, Markus and Paetz, Torben },
title = {{Three-dimensional guidance including shape sensing of a stentgraft system for endovascular aneurysm repair}},
journal={International Journal of Computer Assisted Radiology and Surgery},
year={2020},
keywords = {NavEVAR},
url={https://doi.org/10.1007/s11548-020-02167-2},
}

@phdthesis{2020-PhD-Lotz,
  Author = {Johannes Lotz},
  Title = {Combined Local and Global Image Registration and its Application to Large-Scale Images in Digital Pathology},
  School = {Institute of Mathematics and Image Computing, University of Lübeck},
  Year = {2020},
}

@inproceedings{kuckertz2020SPIE,
  title={Deep learning based CT-CBCT image registration for adaptive radio therapy},
  author={Kuckertz, Sven and Papenberg, Nils and Honegger, Jonas and Morgas, Tomasz and Haas, Benjamin and Heldmann, Stefan},
  booktitle={Medical Imaging 2020: Image Processing},
  volume={11313},
  pages={113130Q},
  year={2020},
  organization={International Society for Optics and Photonics},
  url={http://dx.doi.org/10.1117%2F12.2549531}
}

@inproceedings{lange2020multilevel,
  title={Multilevel 2D-3D Intensity-Based Image Registration},
  author={Lange, Annkristin and Heldmann, Stefan},
  booktitle={International Workshop on Biomedical Image Registration},
  pages={57--66},
  year={2020},
  organization={Springer},
  keywords={NavEVAR},
  url={https://doi.org/10.1007/978-3-030-50120-4_6}
}

@InProceedings{kuckertz2020BVM,
author={Kuckertz, Sven and Papenberg, Nils and Honegger, Jonas and Morgas, Tomasz and Haas, Benjamin and Heldmann, Stefan},
editor={Tolxdorff, Thomas and Deserno, Thomas M. and Handels, Heinz and Maier, Andreas and Maier-Hein, Klaus H. and Palm, Christoph},
title={Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy},
booktitle={Bildverarbeitung f{\"u}r die Medizin 2020},
year={2020},
publisher={Springer},
pages={229--229},
isbn={978-3-658-29267-6},
url={https://doi.org/10.1007/978-3-658-29267-6_51}
}

@inproceedings{kuckertz2020WBIR,
  title={Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy},
  author={Kuckertz, Sven and Papenberg, Nils and Honegger, Jonas and Morgas, Tomasz and Haas, Benjamin and Heldmann, Stefan},
  booktitle={International Workshop on Biomedical Image Registration},
  pages={44--53},
  year={2020},
  organization={Springer},
  url={http://dx.doi.org/10.1007%2F978-3-030-50120-4_5}
}

@inproceedings{Lotz2020ISBI,
  author={Mercan, C. and Mooij, G.C.A.M. and Tellez, D. and Lotz, J. and Weiss, N. and van Gerven, M. and Ciompi, F.},
  title={Virtual Staining for Mitosis Detection in Breast Histopathology},
  journal={2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)},
  publisher={IEEE}
  year={2020},
  url={https://doi.org/10.1109/isbi45749.2020.9098409},
}

@article{garcia2020catheter,
  title={Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera},
  author={García-Vázquez, Verónica and Matysiak, Florian and Jäckle, Sonja and Eixmann, Tim and Sieren, Malte Maria and von Haxthausen, Felix and Ernst, Floris},
  journal={Current Directions in Biomedical Engineering},
  volume={6},
  number={1},
  year={2020},
  keywords={NavEVAR},
  publisher={De Gruyter}
}

@inproceedings{Aggrawal2020WBIR,
author={Aggrawal, Hari Om and Andersen, Martin S. and Modersitzki, Jan},
title={An Image Registration Framework for Discontinuous Mappings Along Cracks},
booktitle={International Workshop on Biomedical Image Registration},
year={2020},
publisher={Springer},
pages={163--173},
url={{{https://doi.org/10.1007/978-3-030-50120-4_16}}},
doi={{{10.1007/978-3-030-50120-4_16}}}
}

@inproceedings{Aggrawal2020ISBI,
author={Aggrawal, Hari Om and Modersitzki, Jan},
title={Accelerating the Registration of Image Sequences by Spatio-Temporal Multilevel Strategies},
booktitle={Proceedings - International Symposium on Biomedical Imaging},
year={2020},
publisher={IEEE Computer Society},
pages={683--686},
url={{{https://doi.org/10.1109/ISBI45749.2020.9098520}}},
doi={{{10.1109/ISBI45749.2020.9098520}}}
}

@Article{ParisottoLellmannMasnouSchoenlieb2020,
  author  = {Parisotto, S. and Lellmann, J. and Masnou, S. and Sch{\"o}nlieb, C.},
  title   = {Higher-Order Total Directional Variation: Imaging Applications},
  journal = {{SIAM} Journal on Imaging Sciences},
  year    = {2020},
  volume  = {13},
  number  = {4},
  pages   = {2063--2104},
}

@inproceedings{hager2020variable,
  title={Variable fraunhofer MEVIS RegLib comprehensively applied to Learn2Reg challenge},
  author={H{\"a}ger, Stephanie and Heldmann, Stefan and Hering, Alessa and Kuckertz, Sven and Lange, Annkristin},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={74--79},
  year={2020},
  organization={Springer}
}

@article{sieren2020rapid,
  title={Rapid study assessment in follow-up whole-body computed tomography in patients with multiple myeloma using a dedicated bone subtraction software},
  author={Sieren, MM and Brenne, F and Hering, A and Kienapfel, H and Gebauer, N and Oechtering, TH and F{\"u}rschke, A and Wegner, F and Stahlberg, E and Heldmann, S and others},
  journal={European Radiology},
  volume={30},
  number={6},
  pages={3198--3209},
  year={2020},
  publisher={Springer}
}

@article{lassen2020automatic,
  title={Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function},
  author={Lassen-Schmidt, Bianca and Hering, Alessa and Krass, Stefan and Meine, Hans},
  journal={arXiv preprint arXiv:2006.00083},
  year={2020}
}

@article{vogt2020connection,
  title={On the connection between dynamical optimal transport and functional lifting},
  author={Vogt, Thomas and Haase, Roland and Bednarski, Danielle and Lellmann, Jan},
  journal={arXiv preprint arXiv:2007.02587},
  year={2020}
}

@incollection{polzin2020discretize,
  title={A discretize--optimize approach for LDDMM registration},
  author={Polzin, Thomas and Niethammer, Marc and Vialard, Fran{\c{c}}ois-Xavier and Modersitzki, Jan},
  booktitle={Riemannian Geometric Statistics in Medical Image Analysis},
  pages={479--532},
  year={2020},
  publisher={Elsevier}
}

@inproceedings{chen2020localization,
  title={Localization of endovascular tools in X-ray images using a motorized C-arm: visualization on HoloLens},
  author={Chen, Yenjung and Shah, Nilay Yatinkumar and Goswami, Subhra Sundar and Lange, Annkristin and Von Haxthausen, Felix and Sieren, Malte Maria and Hagenah, Jannis and Ernst, Floris and Garc{\'\i}a-V{\'a}zquez, Ver{\'o}nica},
  booktitle={Current Directions in Biomedical Engineering},
  volume={6},
  number={1},
  pages={20200029},
  year={2020},
  organization={De Gruyter}
}

@inproceedings{von2019augmented,
  title={An augmented reality guidance system for endovascular aortic repair: first steps in reducing radiation exposure},
  author={von Haxthausen, Felix and J{\"a}ckle, Sonja and Bouchagiar, Juljan and Matysiak, Florian and Kaschwich, Mark and Goltz, Jan Peter and Stahlberg, Erik and Kleemann, Markus and Ernst, Floris and Garc{\'\i}a-V{\'a}zquez, Ver{\'o}nica},
  booktitle={CARS 2019—Computer Assisted Radiology and Surgery Proceedings of the 33th International Congress and Exhibition},
  year={2019}
}

@inproceedings{kaschwich2019augmented,
  title={Augmented Reality navigierte endovaskul{\"a}re Chirurgie--das NavEVAR-Projekt},
  author={Kaschwich, Mark and Matysiak, Florian and Bouchagiar, Juljan and Horn, Marco and Garc{\'\i}a-V{\'a}zquez, Ver{\'o}nica and von Haxthausen, Felix and J{\"a}ckle, Sonja and Eixmann, Tim and Goltz, Jan Peter and Ernst, Floris and others},
  booktitle={35. Jahrestagung der Deutschen Gesellschaft f{\"u}r Gef{\"a}{\ss}chirurgie und Gef{\"a}{\ss}medizin},
  year={2019}
}

@article{horn2019first,
  title={First Steps into Catheter Guidance Including Shape Sensing for Endovascular Aneurysm Repair Procedures},
  author={Horn, Marco and J{\"a}ckle, Sonja and von Haxthausen, Felix and Eixmann, Tim and Schulz-Hildebrandt, Hinnerk and H{\"u}ttmann, Gereon and Bouchagiar, Juljan and Matysiak, Florian and Kaschwich, Mark and Kleemann, Markus and others},
  journal={European Journal of Vascular and Endovascular Surgery},
  volume={58},
  number={6},
  pages={e610--e611},
  year={2019},
  publisher={Elsevier}
}

@article{bouchagiar2019nav,
  title={NAV EVAR Auf dem Weg zur strahlungsfreien Stentgraft Implantation},
  author={Bouchagiar, Juljan and von Haxthausen, Felix and J{\"a}ckle, Sonja and Matysiak, Florian and Kaschwich, Mark and Goltz, Jan Peter and Horn, Marco and Stahlberg, Erik and Garc{\'\i}a-V{\'a}zquez, Ver{\'o}nica and Ernst, Floris and others},
  year={2019}
}

@inproceedings{himstedt2019deformable,
  title={Deformable image registration using structure guidance for dose accumulation},
  author={Himstedt, Marian and Derksen, Alexander and Papenberg, Nils and Honegger, Jonas and Haas, Benjamin and Morgas, Tomasz and Cihoric, Nikola and Chopra, Supriya and Mangaj, Akshay and Swamidas, Jamema},
  booktitle={Proceedings of the International Conference on the Use of Computers in Radiation Therapy (ICCR)},
  year={2019}
}

@article{jaeckle2019FOSS,
  author={J{\"a}ckle, Sonja and Eixmann, Tim and Schulz-Hildebrandt, Hinnerk and H{\"u}ttmann, Gereon and P{\"a}tz, Torben},
  title={Fiber optical shape sensing of flexible instruments for endovascular navigation},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2019},
  volume={14},
  number={12},
  pages={2137--2145},
  keywords = {NavEVAR},
  url={https://doi.org/10.1007/s11548-019-02059-0},
}

@inproceedings{VogtLellmann2019,
author={Vogt, Thomas and Lellmann, Jan},
title={Functional Liftings of Vectorial Variational Problems with Laplacian Regularization},
booktitle={Scale Space and Variational Methods in Computer Vision: 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30-July 4, 2019, Proceedings},
year={2019},
editor={Burger, Martin and Lellmann, Jan and Modersitzki, Jan},
publisher={Springer International Publishing},
pages={559--571},
url={{{https://arxiv.org/pdf/1904.00898.pdf}}},
doi={{{10.1007/978-3-030-22368-7_44}}}
}

@inproceedings{Brehmer2019,
author={Brehmer, Kai and Aggrawal, Hari Om and Heldmann, Stefan and Modersitzki, Jan},
title={Variational registration of multiple images with the SVD based SqN distance measure},
booktitle={Scale Space and Variational Methods in Computer Vision: 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30-July 4, 2019, Proceedings},
year={2019},
editor={Burger, Martin and Lellmann, Jan and Modersitzki, Jan},
publisher={Springer International Publishing},
pages={251--262},
url={{{https://arxiv.org/abs/1907.09732}}},
doi={{{10.1007/978-3-030-22368-7_20}}}
}

@article{Wacker2019,
  title={Two variants of magnetic diffusivity stabilized finite element methods for the magnetic induction equation},
  author={Wacker, Benjamin},
  journal={Mathematical Methods in the Applied Sciences},
  year={2019},
  publisher={Wiley Online Library}
}

@incollection{VogtEtAl2019,
author={Vogt, Thomas and Strekalovskiy, Evgeny and Cremers, Daniel and Lellmann, Jan},
title={Lifting methods for manifold-valued variational problems},
series={Springer Handbooks},
booktitle={Variational Methods for Nonlinear Geometric Data and Applications},
editor={Grohs, Philipp and Holler, Martin and Weinmann, Andreas},
publisher={Springer International Publishing},
pages={In press},
year={2019},
url={{{https://arxiv.org/pdf/1908.03776.pdf}}},
doi={{{10.1007/tba}}}
}

@INPROCEEDINGS{vonHaxthausen2019,
    author = {von Haxthausen, Felix and J{\"{a}}ckle, Sonja and Strehlow, Jan and Ernst, Floris and  Garc{\'i}a-V{\'a}zquez, Ver{\'o}nica},
     title = {Catheter pose-dependent virtual angioscopy images visualized on augmented reality glasses},
   journal = {Current Directions in Biomedical Engineering},
    volume = {5},
    number = {1},
      year = {2019},
     keywords = {NavEVAR},
     pages = {289-291},
     url={https://www.degruyter.com/view/j/cdbme.2019.5.issue-1/cdbme-2019-0073/cdbme-2019-0073.xml}
}

@INPROCEEDINGS{kraft2019,
     author = {Kraft, Valentin and Strehlow, Jan and J{\"{a}}ckle, Sonja and Garc{\'i}a-V{\'a}zquez, Ver{\'o}nica and Link, Florian and von Haxthausen, Felix and Schenk, Andrea and Schumann, Christian},
      month = sep,
      title = {A comparison of streaming methods for the Microsoft HoloLens},
  booktitle = {Tagungsgband der 18. Jahrestagung der Deutschen Gesellschaft f{\"u}r Computer- und Roboterassistierte Chirurgie (CURAC)},
       year = {2019},
      pages = {212-216},
  publisher = {Oliver Burgert, Hochschule Reutlingen, Bernhard Hirt, Universit{\"a}t T{\"u}bingen},
   location = {Reutlingen (Germany)},
       isbn = {978-3-00-063717-9}
}

@incollection{jaeckle2019shape,
  title={Shape Sensing with Fiber Bragg Grating Sensors},
  author={J{\"a}ckle, Sonja and Strehlow, Jan and Heldmann, Stefan},
  booktitle={Bildverarbeitung f{\"u}r die Medizin 2019},
  pages={258--263},
  year={2019},
  publisher={Springer},
  keywords = {NavEVAR},
  url={https://link.springer.com/chapter/10.1007%2F978-3-658-25326-4_58},
}

@Book{LellmannBurgerModersitzki2019,
  title =     {Proceedings of the 7th International Conference On Scale Space and Variational Methods in Computer Vision (SSVM 2019)},
  publisher = {Springer},
  year =      {2019},
  author = {Lellmann, J. and Burger, M. and Modersitzki, J. (eds.)},
  series =    {Lecture Notes in Computer Science}
}

@InProceedings{BudelmannPapenbergLellmann2018,
  author =    {Budelmann, Daniel and K{\"o}nig, Lars and Papenberg, Nils and Lellmann, Jan},
  title =     {Fully-Deformable 3D Image Registration in Two Seconds},
  booktitle = {Bildverarbeitung f{\"u}r die Medizin 2019},
  year =      {2019},
  editor =    {Handels, Heinz and Deserno, Thomas M. and Maier, Andreas and Maier-Hein, Klaus Hermann and Palm, Christoph and Tolxdorff, Thomas},
  pages =     {302--307},
  address =   {Wiesbaden},
  publisher = {Springer Fachmedien Wiesbaden}
}

@article{OliverEtAl2019,
author = {Klein, Oliver and Kanter, Frederic and Kulbe, Hagen and Jank, Paul and Denkert, Carsten and Nebrich, Grit and Schmitt, Wolfgang D. and Wu, Zhiyang and Kunze, Catarina A. and Sehouli, Jalid and Darb-Esfahani, Silvia and Braicu, Ioana and Lellmann, Jan and Thiele, Herbert and Taube, Eliane T.},
title = {MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods},
journal = {PROTEOMICS – Clinical Applications},
volume = {13},
number = {1},
pages = {1700181},
doi = {10.1002/prca.201700181},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/prca.201700181},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/prca.201700181},
abstract = {Purpose Precise histological classification of epithelial ovarian cancer (EOC) has immanent diagnostic and therapeutic consequences, but remains challenging in histological routine. The aim of this pilot study is to examine the potential of matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry in combination with machine learning methods to classify EOC histological subtypes from tissue microarray. Experimental design Formalin-fixed-paraffin-embedded tissue of 20 patients with ovarian clear-cell, 14 low-grade serous, 19 high-grade serous ovarian carcinomas, and 14 serous borderline tumors are analyzed using MALDI-Imaging. Classifications are computed by linear discriminant analysis (LDA), support vector machines with linear (SVM-lin) and radial basis function kernels (SVM-rbf), a neural network (NN), and a convolutional neural network (CNN). Results MALDI-Imaging and machine learning methods result in classification of EOC histotypes with mean accuracy of 80\% for LDA, 80\% SVM-lin, 74\% SVM-rbf, 83\% NN, and 85\% CNN. Based on sensitivity (69–100\%) and specificity (90–99\%), CCN and NN are most suited to EOC classification. Conclusion and clinical relevance The pilot study demonstrates the potential of MALDI-Imaging derived proteomic classifiers in combination with machine learning algorithms to discriminate EOC histotypes. Applications may support the development of new prognostic parameters in the assessment of EOC.},
year = {2019}
}

@article{hering2019memory,
  title={Memory-efficient 2.5 D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans},
  author={Hering, Alessa and Kuckertz, Sven and Heldmann, Stefan and Heinrich, Mattias P},
  journal={International journal of computer assisted radiology and surgery},
  volume={14},
  number={11},
  pages={1901--1912},
  year={2019},
  publisher={Springer}
}

@incollection{hering2019BVM,
  title={Enhancing label-driven deep deformable image registration with local distance metrics for state-of-the-art cardiac motion tracking},
  author={Hering, Alessa and Kuckertz, Sven and Heldmann, Stefan and Heinrich, Mattias P},
  booktitle={Bildverarbeitung f{\"u}r die Medizin 2019},
  pages={309--314},
  year={2019},
  publisher={Springer},
  url={http://dx.doi.org/10.1007%2F978-3-658-25326-4_69},
}

@inproceedings{hering2019SPIE,
author = {Hering, Alessa and Heldmann, Stefan},
title = {{Unsupervised learning for large motion thoracic CT follow-up registration}},
volume = {10949},
booktitle = {Medical Imaging 2019: Image Processing},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {1-7},
year = {2019},
doi = {10.1117/12.2506962},
URL = {https://doi.org/10.1117/12.2506962}
}

@inproceedings{hering2019MIDL,
author = {Meine, Hans and Hering, Alessa},
title = {{Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor}},
volume = {102},
booktitle = {Proceedings of Medical Imaging with Deep Learning (MIDL 2019)},
pages = {1-4},
year = {2019},
}

@inproceedings{hering2019MICCAI,
author = {Hering, Alessa and van Ginneken, Bram and Heldmann, Stefan},
title = {{mlVIRNET: Multilevel Variational Image Registration Network}},
volume = {11769},
booktitle = {Proceeding of Medical Image Computing and Computer Assisted Intervention (MICCAI 2019)},
publisher = {Springer},
pages = {257-265},
year = {2019},
doi = {10.1007/978-3-030-32226-7_29},
URL = {https://doi.org/10.1007/978-3-030-32226-7_29}
}

@article{Lotz2019,
  author={Bulten, Wouter and Bándi, Péter and Hoven, Jeffrey and van de Loo, Rob and Lotz, Johannes and Weiss, Nick and van der Laak, Jeroen and van Ginneken, Bram and Hulsbergen-van de Kaa, Christina and Litjens, Geert },
  title={Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard},
  journal={Scientific Reports},
  year={2019},
  volume={9},
  article={864},
  url={https://doi.org/10.1038/s41598-018-37257-4},
}

@article{lellmann2019methods,
  title={Methods for finding the offset in robust subspace fitting},
  author={Lellmann, Jan and Neumayer, Sebastian and Nimmer, Max and Steidl, Gabriele},
  journal={PAMM},
  volume={19},
  number={1},
  pages={e201900323},
  year={2019},
  publisher={Wiley Online Library}
}

@article{klein2019front,
  title={Front Cover: MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods},
  author={Klein, Oliver and Kanter, Frederic and Kulbe, Hagen and Jank, Paul and Denkert, Carsten and Nebrich, Grit and Schmitt, Wolfgang D and Wu, Zhiyang and Kunze, Catarina A and Sehouli, Jalid and others},
  journal={PROTEOMICS--Clinical Applications},
  volume={13},
  number={1},
  pages={1970011},
  year={2019},
  publisher={Wiley Online Library}
}

@article{meine2019efficient,
  title={Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor},
  author={Meine, Hans and Hering, Alessa},
  journal={arXiv preprint arXiv:1909.08898},
  year={2019}
}

@incollection{CHEN2019579,
title = {Chapter 15 - Image and surface registration},
editor = {Ron Kimmel and Xue-Cheng Tai},
series = {Handbook of Numerical Analysis},
publisher = {Elsevier},
volume = {20},
pages = {579-611},
year = {2019},
booktitle = {Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2},
issn = {1570-8659},
doi = {https://doi.org/10.1016/bs.hna.2019.07.001},
url = {https://www.sciencedirect.com/science/article/pii/S1570865919300146},
author = {Ke Chen and Lok Ming Lui and Jan Modersitzki},
keywords = {Image registration, Surface registration, Variational models, 35A15, 37E30, 49J40, 49Q05, 62H35, 62M40, 65D18, 80M30}

@article{grob2019accuracy,
  title={Accuracy of registration algorithms in subtraction CT of the lungs: A digital phantom study},
  author={Grob, Dagmar and Oostveen, Luuk and R{\"u}haak, Jan and Heldmann, Stefan and Mohr, Brian and Michielsen, Koen and Dorn, Sabrina and Prokop, Mathias and Kachelrie$\beta$, Marc and Brink, Monique and others},
  journal={Medical physics},
  volume={46},
  number={5},
  pages={2264--2274},
  year={2019},
  publisher={Wiley Online Library}
}

@article{hager2019maschinelles,
  title={Maschinelles Lernen f{\"u}r Momentum-basierte Bildgebung},
  author={H{\"a}ger, Stephanie},
  year={2019}
}

@article{lotz2019robust,
  title={Robust, fast and accurate: a 3-step method for automatic histological image registration},
  author={Lotz, Johannes and Weiss, Nick and Heldmann, Stefan},
  journal={arXiv preprint arXiv:1903.12063},
  year={2019}
}

@inproceedings{brehmer2018novel,
  title={A Novel Similarity Measure for Image Sequences},
  author={Brehmer, Kai and Wacker, Benjamin and Modersitzki, Jan},
  booktitle={International Workshop on Biomedical Image Registration},
  pages={47--56},
  year={2018},
  organization={Springer},
  url={{{https://arxiv.org/abs/1907.09741}}},
  doi={{{10.1007/978-3-319-92258-4_5}}}
}

@phdthesis{2018-PhD-Konig,
  Author = {Lars König},
  Title = {Matrix-free approaches for deformable image registration with large-scale and real-time applications in medical imaging},
  School = {Institute of Mathematics and Image Computing, University of L\"ubeck},
  Year = {2018},
}

@article{garcia2018navigation,
  title={Navigation and visualisation with HoloLens in endovascular aortic repair},
  author={Garc{\'i}a-V{\'a}zquez, Ver{\'o}nica and von Haxthausen, Felix and J{\"a}ckle, Sonja and Schumann, Christian and Kuhlemann, Ivo and Bouchagiar, Juljan and H{\"o}fer, Anna-Catharina and Matysiak, Florian and H{\"u}ttmann, Gereon and Goltz, Jan Peter and others},
  journal={Innovative Surgical Sciences},
  volume={3},
  number={3},
  pages={167--177},
  year={2018},
  publisher={De Gruyter},
  keywords={NavEVAR},
  url={https://degruyter.com/downloadpdf/j/iss.2018.3.issue-3/iss-2018-2001/iss-2018-2001.pdf}
}

@incollection{jaeckle2018rigid,
  title={Rigid Lens--Locally Rigid Approximations of Deformable Registration for Change Assessment in Thorax-Abdomen CT Follow-Up Scans},
  author={J{\"a}ckle, Sonja and Heldmann, Stefan},
  booktitle={Image Analysis for Moving Organ, Breast, and Thoracic Images},
  pages={272--283},
  year={2018},
  publisher={Springer},
  url={https://link.springer.com/chapter/10.1007/978-3-030-00946-5_27},
}