2023

Frederic Kanter, Jan Lellmann, Herbert Thiele, Steve Kalloger, David F Schaeffer, Axel Wellmann, and Oliver Klein,
Classification of Pancreatic Ductal Adenocarcinoma Using MALDI Mass Spectrometry Imaging Combined with Neural Networks, Cancers , vol. 15, no. 3, pp. 686, 2023. MDPI.
Bibtex: BibTeX
@article{kanter2023classification,
  title={Classification of Pancreatic Ductal Adenocarcinoma Using MALDI Mass Spectrometry Imaging Combined with Neural Networks},
  author={Kanter, Frederic and Lellmann, Jan and Thiele, Herbert and Kalloger, Steve and Schaeffer, David F and Wellmann, Axel and Klein, Oliver},
  journal={Cancers},
  volume={15},
  number={3},
  pages={686},
  year={2023},
  publisher={MDPI}
}
Rieke Alpers, Lisa Kühne, Hong-Phuc Truong, Hajo Zeeb, Max Westphal, and Sonja Jäckle,
Evaluation of the EsteR Toolkit for COVID-19 Decision Support: Sensitivity Analysis and Usability Study, JMIR Formative Research , vol. 7, pp. e44549, 2023. JMIR Publications Toronto, Canada.
Bibtex: BibTeX
@article{alpers2023evaluation,
  title={Evaluation of the EsteR Toolkit for COVID-19 Decision Support: Sensitivity Analysis and Usability Study},
  author={Alpers, Rieke and K{\"u}hne, Lisa and Truong, Hong-Phuc and Zeeb, Hajo and Westphal, Max and J{\"a}ckle, Sonja},
  journal={JMIR Formative Research},
  volume={7},
  pages={e44549},
  year={2023},
  publisher={JMIR Publications Toronto, Canada}
}
Frederic Georg Kanter,
Deep Learning for Mass Spectrometry Imaging and Image Registration, Institute of Mathematics and Image Computing, University of Lübeck, 2023.
File: kanter_small.pdf
Bibtex: BibTeX
@phdthesis{2023-PhD-Kanter,
  Author = {{Frederic Georg Kanter}},
  Title = {Deep Learning for Mass Spectrometry Imaging and Image Registration},
  School = {Institute of Mathematics and Image Computing, University of L\"ubeck},
  Year = {2023},
}
Danielle Bednarski, and Jan Lellmann,
EmNeF: Neural Fields for Embedded Variational Problems in Imaging, in Scale Space and Variational Methods in Computer Vision , Calatroni, Luca and Donatelli, Marco and Morigi, Serena and Prato, Marco and Santacesaria, Matteo, Eds. Cham: Springer International Publishing, 2023. pp. 137--148.
DOI:https://doi.org/10.1007/978-3-031-31975-4_11
ISBN:978-3-031-31975-4
File: 978-3-031-31975-4_11
Bibtex: BibTeX
@InProceedings{bednarski2023emnef,
  author    = {Bednarski, Danielle and Lellmann, Jan},
  title     = {EmNeF: Neural Fields for Embedded Variational Problems in Imaging},
  booktitle = {Scale Space and Variational Methods in Computer Vision},
  year      = {2023},
  editor    = {Calatroni, Luca and Donatelli, Marco and Morigi, Serena and Prato, Marco and Santacesaria, Matteo},
  pages     = {137--148},
  address   = {Cham},
  publisher = {Springer International Publishing},
  doi       = {https://doi.org/10.1007/978-3-031-31975-4_11},
  isbn      = {978-3-031-31975-4},
 url = {https://link.springer.com/chapter/10.1007/978-3-031-31975-4_11},
}

2022

Frederic Kanter, and Jan Lellmann,
A Flexible Meta Learning Model for Image Registration, in Proceedings of The 5th International Conference on Medical Imaging with Deep Learning , Konukoglu, Ender and Menze, Bjoern and Venkataraman, Archana and Baumgartner, Christian and Dou, Qi and Albarqouni, Shadi, Eds. PMLR, 06-.2022. pp. 638-652.
Bibtex: BibTeX
@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}
}
Sonja Jäckle, Rieke Alpers, Lisa Kühne, Jakob Schumacher, Benjamin Geisler, and Max Westphal,
EsteR -A Digital Toolkit for COVID-19 Decision Support in Local Health Authorities, in German Medical Data Sciences 2022--Future Medicine: More Precise, More Integrative, More Sustainable! , IOS Press, 2022, pp. 17--24.
Bibtex: BibTeX
@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}
}
Sonja Jäckle, Tim Eixmann, Florian Matysiak, Malte M Sieren, Marco Horn, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, and Torben Pätz,
3D Stent Graft Guidance Based on Tracking Systems, in Bildverarbeitung für die Medizin 2022 , Springer, 2022, pp. 253--253.
Bibtex: BibTeX
@incollection{jackle20223d,
  title={3D Stent Graft Guidance Based on Tracking Systems},
  author={J{\"a}ckle, Sonja and Eixmann, Tim and Matysiak, Florian and Sieren, Malte M and Horn, Marco and Schulz-Hildebrandt, Hinnerk and H{\"u}ttmann, Gereon and P{\"a}tz, Torben},
  booktitle={Bildverarbeitung f{\"u}r die Medizin 2022},
  pages={253--253},
  year={2022},
  publisher={Springer}
}
Alessa Hering, Felix Peisen, and Jan Hendrik Moltz,
Towards more efficient tumor follow-up assessment using AI assistance, in Medical Imaging with Deep Learning , 2022.
Bibtex: BibTeX
@inproceedings{hering2022towards,
  title={Towards more efficient tumor follow-up assessment using AI assistance},
  author={Hering, Alessa and Peisen, Felix and Moltz, Jan Hendrik},
  booktitle={Medical Imaging with Deep Learning},
  year={2022}
}
Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, and Thomas Moreau,
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models, 2022.
File: forum
Bibtex: BibTeX
@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}
}
Stephanie Häger, Annkristin Lange, Jan Heldmann, Andreas Petersik, Manuel Schröder, Heiko Gottschling, Thomas Lieth, Erich Zähringer, and Jan H Moltz,
Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn), in Bildverarbeitung für die Medizin 2022 , Springer, 2022, pp. 69--74.
Bibtex: BibTeX
@incollection{hager2022robin,
  title={Robust Intensity-based Initialization for 2D-3D Pelvis Registration
(RobIn)},
  author={Häger, Stephanie and Lange, Annkristin and Heldmann, Stefan {and} Modersitzki, Jan and Petersik, Andreas and Schröder, Manuel and Gottschling, Heiko and Lieth, Thomas and Zähringer, Erich and Moltz, Jan H},
  booktitle={Bildverarbeitung für die Medizin 2022},
  pages={69--74},
  year={2022},
  publisher={Springer}
}
Malte Maria Sieren, Sonja Jäckle, Tim Eixmann, Hinnerk Schulz-Hildebrandt, Florian Matysiak, Mark Preuss, Verónica García-Vázquez, Erik Stahlberg, Markus Kleemann, Jörg Barkhausen, and others,
Radiation-free Thoracic Endovascular Aneurysm Repair with Fiberoptic and Electromagnetic Guidance: A Phantom Study, Journal of Vascular and Interventional Radiology , 2022. Elsevier.
Laura Miesen, Péter Bándi, Brigith Willemsen, Fieke Mooren, Thiago Strieder, Eva Boldrini, Vedran Drenic, Jennifer Eymael, Roy Wetzels, Johannes Lotz, Nick Weiss, Eric Steenbergen, Toin H. Kuppevelt, Merijn Erp, Jeroen Laak, Nicole Endlich, Marcus J. Moeller, Jack F. M. Wetzels, Jitske Jansen, and Bart Smeets,
Parietal epithelial cells maintain the epithelial cell continuum forming Bowman's space in focal segmental glomerulosclerosis, Disease Models & Mechanisms , vol. 15, no. 3, 2022. The Company of Biologists.
DOI:10.1242/dmm.046342
File: 10.1242%2Fdmm.046342
Bibtex: BibTeX
@article{Miesen_2022, 
doi={10.1242/dmm.046342}, 
url={https://doi.org/10.1242%2Fdmm.046342}, 
year={2022}, 
month={mar}, 
publisher={The Company of Biologists}, 
volume={15}, 
number={3}, 
author={Miesen, Laura and Bándi, Péter and Willemsen, Brigith and Mooren, Fieke and Strieder, Thiago and Boldrini, Eva  and Drenic, Vedran and Eymael, Jennifer and Wetzels, Roy and Lotz, Johannes and Weiss, Nick and  Steenbergen, Eric and van Kuppevelt, Toin H. and van Erp, Merijn and van der Laak, Jeroen and Endlich, Nicole and Moeller, Marcus J. and Wetzels, Jack F. M. and Jansen, Jitske and Smeets, Bart}, 
title={Parietal epithelial cells maintain the epithelial cell continuum forming Bowman's space in focal segmental glomerulosclerosis}, 
journal={Disease Models & Mechanisms}
}
Danielle Bednarski, and Jan Lellmann,
Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case, J Math Imaging Vis , 2022.
DOI:10.1007/s10851-022-01125-8
File: s10851-022-01125-8
Bibtex: BibTeX
@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},
}
Florian Mannel,
On the convergence of Broyden’s method and some accelerated schemes for singular problems, pp. 1--29, 2022.
DOI:10.1093/imanum/drab096
Bibtex: BibTeX
@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},
}
Roland Haase, Stefan Heldmann, and Jan Lellmann,
Deformable groupwise image registration using low-rank and sparse decomposition, Journal of Mathematical Imaging and Vision , vol. 64, no. 2, pp. 194--211, 2022. Springer.
Bibtex: BibTeX
@article{haase2022deformable,
  title={Deformable groupwise image registration using low-rank and sparse decomposition},
  author={Haase, Roland and Heldmann, Stefan and Lellmann, Jan},
  journal={Journal of Mathematical Imaging and Vision},
  volume={64},
  number={2},
  pages={194--211},
  year={2022},
  publisher={Springer}
}
AD Hering,
Deep-Learning-based Image Registration and Tumor Follow-up Analysis, 2022.
File: Hering__Deep-Learning-based_Image_Registration_and_Tumor_Follow-up_Analysis-komprimiert.pdf
Bibtex: BibTeX
@phdthesis{hering2022deep,
  title={Deep-Learning-based Image Registration and Tumor Follow-Up Analysis},
  author={Hering, AD},
  year={2022},
  school={[Sl]:[Sn]}
}
Lasse Hansen, Alessa Hering, Christoph Großbröhmer, and Mattias P Heinrich,
Continuous benchmarking in medical image registration-review of the current state of the Learn2Reg challenge, Medical Imaging with Deep Learning , 2022.
Bibtex: BibTeX
@article{hansen2022continuous,
  title={Continuous benchmarking in medical image registration-review of the current state of the Learn2Reg challenge},
  author={Hansen, Lasse and Hering, Alessa and Großbröhmer, Christoph and Heinrich, Mattias P},
  journal={Medical Imaging with Deep Learning},
  year={2022}
}
Felix Peisen, Annika Hänsch, Alessa Hering, Andreas S Brendlin, Saif Afat, Konstantin Nikolaou, Sergios Gatidis, Thomas Eigentler, Teresa Amaral, Jan H Moltz, and others,
Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy, Cancers , vol. 14, no. 12, pp. 2992, 2022. Multidisciplinary Digital Publishing Institute.
Bibtex: BibTeX
@article{peisen2022combination,
  title={Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy},
  author={Peisen, Felix and H{\"a}nsch, Annika and Hering, Alessa and Brendlin, Andreas S and Afat, Saif and Nikolaou, Konstantin and Gatidis, Sergios and Eigentler, Thomas and Amaral, Teresa and Moltz, Jan H and others},
  journal={Cancers},
  volume={14},
  number={12},
  pages={2992},
  year={2022},
  publisher={Multidisciplinary Digital Publishing Institute}
}
Daniel Budelmann, Hendrick Laue, Nick Weiss, Uta Dahmen, Lorenza A. D’Alessandro, Ina Biermayer, Ursula Klingmüller, Ahmed Ghallab, Reham Hassan, Brigitte Begher-Tibbe, Jan G. Hengstler, and Lars Ole Schwen,
Automated Detection of Portal Fields and Central Veins in Whole-Slide Images of Liver Tissue, Journal of Pathology Informatics , vol. 13, pp. 100001, 2022.
DOI:https://doi.org/10.1016/j.jpi.2022.100001
File: S2153353922000013
Bibtex: BibTeX
@article{Budelmann2022100001,
title={Automated Detection of Portal Fields and Central Veins in
Whole-Slide Images of Liver Tissue},
journal={Journal of Pathology Informatics},
volume={13},
pages={100001},
year={2022},
issn={2153-3539},
doi={https://doi.org/10.1016/j.jpi.2022.100001},
url={https://www.sciencedirect.com/science/article/pii/S2153353922000013},
author={Budelmann, Daniel and Laue, Hendrick and Weiss, Nick and Dahmen, Uta and D’Alessandro, Lorenza A. and Biermayer , Ina and Klingmüller, Ursula and Ghallab, Ahmed and Hassan, Reham and Begher-Tibbe, Brigitte and Hengstler, Jan G. and Schwen, Lars Ole},
keywords={liver, portal field, central vein, object detection,
convolutional neural network, zonated quantification}
}
N. Kuete Meli, F. Mannel, and J. Lellmann,
An Iterative Quantum Approach for Transformation Estimation From Point Sets, in Computer Vision and Pattern Recognition , 2022. pp. 529--537.
Bibtex: BibTeX
@inproceedings{Meli2022,
  title={An Iterative Quantum Approach for Transformation Estimation From Point Sets},
  author={Kuete Meli, N. and Mannel, F. and Lellmann, J.},
  booktitle={Computer Vision and Pattern Recognition},
  pages={529--537},
  year={2022}
}
Dominik Hafemeyer, and Florian Mannel,
A path-following inexact Newton method for PDE-constrained optimal control in BV, COAP , vol. 82, no. 3, pp. 753--794, 2022.
DOI:10.1007/s10589-022-00370-2
Bibtex: BibTeX
@Article{Mannel1,
Author={Hafemeyer, Dominik and Mannel, Florian},
Title={A path-following inexact Newton method for {PDE}-constrained optimal control in {BV}},
FJournal={{Computational Optimization and Applications}},
Journal={{COAP}},
Volume={82},
Number={3},
Pages={753--794},
Year={2022},
Language={English},
doi = {10.1007/s10589-022-00370-2},
}
Florian Mannel, and Armin Rund,
A hybrid semismooth quasi-Newton method for structured nonsmooth operator equations in Banach spaces, JoCA , vol. 29, no. 1, pp. 183--204, 2022.
File: jca29011.htm
Bibtex: BibTeX
@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},
}

2021

Sonja Jäckle, Annkristin Lange, Verónica García-Vázquez, Tim Eixmann, Florian Matysiak, Malte Maria Sieren, Marco Horn, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Floris Ernst, Stefan Heldmann, Torben Pätz, and Tobias Preusser,
Instrument localisation for endovascular aneurysm repair: Comparison of two methods based on tracking systems or using imaging, The International Journal of Medical Robotics and Computer Assisted Surgery , vol. 17, no. 6, pp. e2327, 2021.
Bibtex: BibTeX
@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}
}

Alessa Hering, Felix Peisen, Teresa Amaral, Sergios Gatidis, Thomas Eigentler, Ahmed Othman, and Jan Hendrik Moltz,
Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies, in Medical Imaging with Deep Learning , 2021. pp. 312--326.
Bibtex: BibTeX
@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}
}
Kai Brehmer,
SqN: A Novel Distance Measure for Multiple Images and Applications, Institute of Mathematics and Image Computing, University of Lübeck, 2021.
File: K_Brehmer-Dissertation_SqN_final-online_publication_compressed.pdf
Bibtex: BibTeX
@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},
}
Holger R Roth, Ziyue Xu, Carlos Tor Diez, Ramon Sanchez Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, and others,
Rapid artificial intelligence solutions in a pandemic-the COVID-19-20 lung CT lesion segmentation challenge, Research Square , 2021. American Journal Experts.
Bibtex: BibTeX
@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}
}
Florian Mannel,
On the order of convergence of Broyden’s method, Calcolo , vol. 58, no. 4, pp. 1--21, 2021.
DOI:10.1007/s10092-021-00441-6
Bibtex: BibTeX
@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},
}
Alessa Hering, Lasse Hansen, Tony CW Mok, Albert Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, and others,
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning, arXiv preprint arXiv:2112.04489 , 2021.
Bibtex: BibTeX
@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}
}
Journal of Mathematical Imaging and Vision, Special Issue on Scale Space and Variational Methods in Computer Vision,
Bibtex: BibTeX
@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.},
}
W. Diepeveen, and J. Lellmann,
An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising, SIAM Journal on Imaging Sciences , vol. 14, no. 4, pp. 1565--1600, 2021.
Bibtex: BibTeX
@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},
}
Sonja Jäckle,
Guidance of medical instruments based on tracking systems, Jacobs University Bremen, 2021.
Bibtex: BibTeX
@phdthesis{jackle2021guidance,
  title={Guidance of medical instruments based on tracking systems},
  author={Sonja J{\"a}ckle},
  year={2021},
  school={Jacobs University Bremen}
}
Sonja Jäckle, Tim Eixmann, Florian Matysiak, Malte Maria Sieren, Marco Horn, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, and Torben Pätz,
3D Stent Graft Guidance based on Tracking Systems for Endovascular Aneurysm Repair, Current Directions in Biomedical Engineering , vol. 7, no. 1, pp. 17--20, 2021.
DOI:doi:10.1515/cdbme-2021-1004
File: cdbme-2021-1004
Bibtex: BibTeX
@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}
}
Alessa Hering, Stephanie Häger, Jan Moltz, Nikolas Lessmann, Stefan Heldmann, and Bram Ginneken,
CNN-based lung CT registration with multiple anatomical constraints, Medical Image Analysis , vol. 72, pp. 102139, 2021. Elsevier.
Bibtex: BibTeX
@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}
}
André Homeyer, Johannes Lotz, Lars Ole Schwen, Nick Weiss, Daniel Romberg, Henning Höfener, Norman Zerbe, and Peter Hufnagl,
Artificial intelligence in pathology: From prototype to product, Journal of Pathology Informatics , vol. 12, no. 1, pp. 13, 2021. Elsevier BV.
DOI:10.4103/jpi.jpi_84_20
File: 10.4103%2Fjpi.jpi_84_20
Bibtex: BibTeX
@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}
}
Sonja Jäckle, Veronica Garcia-Vazquez, Tim Eixmann, Florian Matysiak, Felix Haxthausen, Malte Sieren, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Floris Ernst, Markus Kleemann, and Torben Pätz,
Abstract: 3D Guidance Including Shape Sensing of a Stentgraft System, in Bildverarbeitung für die Medizin 2021 , Springer, 2021, pp. 34--34.
DOI:10.1007/978-3-658-33198-6_9
File: 10.1007%2F978-3-658-33198-6_9
Bibtex: BibTeX
@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}
}
Sonja Jäckle, Elias Röger, Volker Dicken, Benjamin Geisler, Jakob Schumacher, and Max Westphal,
A Statistical Model to Assess Risk for Supporting COVID-19 Quarantine Decisions, International Journal of Environmental Research and Public Health , vol. 18, no. 17, 2021.
DOI:10.3390/ijerph18179166
File: 9166
Bibtex: BibTeX
@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}
}
Alessa Hering, Annkristin Lange, Stefan Heldmann, Stephanie Häger, and Sven Kuckertz,
Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge, in International Conference on Medical Image Computing and Computer-Assisted Intervention , 2021. pp. 147--152.
Bibtex: BibTeX
@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}
}

2020

Annkristin Lange, and Stefan Heldmann,
Intensity-Based 2D-3D Registration Using Normalized Gradient Fields, in Bildverarbeitung für die Medizin 2020 , Springer, 2020, pp. 163--168.
File: 978-3-658-29267-6_33
Bibtex: BibTeX
@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}
}
Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, and Stefan Heldmann,
Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy, in International Workshop on Biomedical Image Registration , 2020. pp. 44--53.
File: 10.1007%2F978-3-030-50120-4_5
Bibtex: BibTeX
@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}
}
Thomas Vogt,
Measure-Valued Variational Models with Applications in Image Processing, Institute of Mathematics and Image Computing, University of L\"ubeck, 2020.
File: phd_thesis_vogt_small.pdf
Bibtex: BibTeX
@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},
}
Stephanie Häger, Stefan Heldmann, Alessa Hering, Sven Kuckertz, and Annkristin Lange,
Variable fraunhofer MEVIS RegLib comprehensively applied to Learn2Reg challenge, in International Conference on Medical Image Computing and Computer-Assisted Intervention , 2020. pp. 74--79.
Bibtex: BibTeX
@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}
}
Annkristin Lange, and Stefan Heldmann,
Multilevel 2D-3D Intensity-Based Image Registration, in International Workshop on Biomedical Image Registration , 2020. pp. 57--66.
File: 978-3-030-50120-4_6
Bibtex: BibTeX
@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}
}
MM Sieren, F Brenne, A Hering, H Kienapfel, N Gebauer, TH Oechtering, A Fürschke, F Wegner, E Stahlberg, S Heldmann, and others,
Rapid study assessment in follow-up whole-body computed tomography in patients with multiple myeloma using a dedicated bone subtraction software, European Radiology , vol. 30, no. 6, pp. 3198--3209, 2020. Springer.
Bibtex: BibTeX
@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}
}
Sonja Jäckle, Verónica García-Vázquez, Tim Eixmann, Florian Matysiak, Haxthausen, Malte Maria Sieren, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Floris Ernst, Markus Kleemann, and Torben Paetz,
Three-dimensional guidance including shape sensing of a stentgraft system for endovascular aneurysm repair, International Journal of Computer Assisted Radiology and Surgery , 2020.
File: s11548-020-02167-2
Bibtex: BibTeX
@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},
}
C. Mercan, G.C.A.M. Mooij, D. Tellez, J. Lotz, N. Weiss, M. Gerven, and F. Ciompi,
Virtual Staining for Mitosis Detection in Breast Histopathology, IEEE, 2020.
File: isbi45749.2020.9098409
Bibtex: BibTeX
@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},
}
Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, and Stefan Heldmann,
Deep learning based CT-CBCT image registration for adaptive radio therapy, in Medical Imaging 2020: Image Processing , 2020. pp. 113130Q.
File: 10.1117%2F12.2549531
Bibtex: BibTeX
@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}
}
S. Parisotto, J. Lellmann, S. Masnou, and C. Schönlieb,
Higher-Order Total Directional Variation: Imaging Applications, SIAM Journal on Imaging Sciences , vol. 13, no. 4, pp. 2063--2104, 2020.
Bibtex: BibTeX
@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},
}
Sonja Jäckle, Tim Eixmann, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, and Torben Pätz,
Abstract: Fiber Optical Shape Sensing of Flexible Instruments, in Bildverarbeitung für die Medizin 2020 , Springer, 2020, pp. 314--314.
DOI:10.1007/978-3-658-29267-6_70
File: 978-3-658-29267-6_70
Bibtex: BibTeX
@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}
}
Johannes Lotz,
Combined Local and Global Image Registration and its Application to Large-Scale Images in Digital Pathology, Institute of Mathematics and Image Computing, University of Lübeck, 2020.
Bibtex: BibTeX
@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},
}
Sonja Jäckle, Veronica Garcia-Vazquez, Felix Haxthausen, Tim Eixmann, Malte Maria Sieren, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Floris Ernst, Markus Kleemann, and Torben Pätz,
Abstract: 3D Catheter Guidance Including Shape Sensing for Endovascular Navigation, in Bildverarbeitung für die Medizin 2020 , Springer, 2020, pp. 261--261.
DOI:10.1007/978-3-658-29267-6_58
File: 978-3-658-29267-6_58
Bibtex: BibTeX
@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}
}
Verónica García-Vázquez, Florian Matysiak, Sonja Jäckle, Tim Eixmann, Malte Maria Sieren, Felix Haxthausen, and Floris Ernst,
Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera, Current Directions in Biomedical Engineering , vol. 6, no. 1, 2020. De Gruyter.
Bibtex: BibTeX
@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}
}
Thomas Polzin, Marc Niethammer, François-Xavier Vialard, and Jan Modersitzki,
A discretize–optimize approach for LDDMM registration, in Riemannian Geometric Statistics in Medical Image Analysis , Xavier Pennec and Stefan Sommer and Tom Fletcher, Eds. Academic Press, 2020, pp. 479 - 532.
DOI:https://doi.org/10.1016/B978-0-12-814725-2.00022-4
ISBN:978-0-12-814725-2
File: B9780128147252000224
Bibtex: BibTeX
@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."
}
V. Corona, J. Lellmann, P. Nestor, C.-B. Sch\"onlieb, and J. Acosta-Cabronero,
A multi-contrast MRI approach to thalamus segmentation, Human Brain Mapping , 2020.
Bibtex: BibTeX
@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}
}
Sonja Jäckle, Verónica García-Vázquez, Felix Haxthausen, Tim Eixmann, Malte Maria Sieren, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Floris Ernst, Markus Kleemann, and Torben Paetz,
3D catheter guidance including shape sensing for endovascular navigation, in Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling , Baowei Fei and Cristian A. Linte, Eds. SPIE, 2020. pp. 21 -- 29.
DOI:10.1117/12.2548094
File: 12.2548094
Bibtex: BibTeX
@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}
}
Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, and Stefan Heldmann,
Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy, in Bildverarbeitung für die Medizin 2020 , Tolxdorff, Thomas and Deserno, Thomas M. and Handels, Heinz and Maier, Andreas and Maier-Hein, Klaus H. and Palm, Christoph, Eds. Springer, 2020. pp. 229--229.
ISBN:978-3-658-29267-6
File: 978-3-658-29267-6_51
Bibtex: BibTeX
@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}
}
Hari Om Aggrawal, and Jan Modersitzki,
Accelerating the Registration of Image Sequences by Spatio-Temporal Multilevel Strategies, in Proceedings - International Symposium on Biomedical Imaging , IEEE Computer Society, 2020. pp. 683--686.
DOI:{{10.1109/ISBI45749.2020.9098520}}
File: ISBI45749.2020.9098520}}
Bibtex: BibTeX
@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}}}
}
Hari Om Aggrawal, Martin S. Andersen, and Jan Modersitzki,
An Image Registration Framework for Discontinuous Mappings Along Cracks, in International Workshop on Biomedical Image Registration , Springer, 2020. pp. 163--173.
DOI:{{10.1007/978-3-030-50120-4_16}}
File: 978-3-030-50120-4_16}}
Bibtex: BibTeX
@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}}}
}
Jiří 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, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul Yushkevic, Shengyu Zhao, and Arrate Muñoz-Barrutia,
ANHIR: Automatic Non-rigid Histological Image Registration Challenge, IEEE Transactions on Medical Imaging , 2020. IEEE.
File: tmi.2020.2986331
Bianca Lassen-Schmidt, Alessa Hering, Stefan Krass, and Hans Meine,
Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function, arXiv preprint arXiv:2006.00083 , 2020.
Bibtex: BibTeX
@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}
}

2019

Thomas Vogt, Evgeny Strekalovskiy, Daniel Cremers, and Jan Lellmann,
Lifting methods for manifold-valued variational problems, in Variational Methods for Nonlinear Geometric Data and Applications , Grohs, Philipp and Holler, Martin and Weinmann, Andreas, Eds. Springer International Publishing, 2019, pp. In press.
DOI:{{10.1007/tba}}
File: 1908.03776.pdf}}
Bibtex: BibTeX
@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}}}
}
Alessa Hering, and Stefan Heldmann,
Unsupervised learning for large motion thoracic CT follow-up registration, in Medical Imaging 2019: Image Processing , 2019. pp. 331--337.
Bibtex: BibTeX
@inproceedings{hering2019unsupervised,
  title={Unsupervised learning for large motion thoracic CT follow-up registration},
  author={Hering, Alessa and Heldmann, Stefan},
  booktitle={Medical Imaging 2019: Image Processing},
  volume={10949},
  pages={331--337},
  year={2019},
  organization={SPIE}
}
Alessa Hering, and Stefan Heldmann,
Unsupervised learning for large motion thoracic CT follow-up registration, in Medical Imaging 2019: Image Processing , SPIE, 2019. pp. 1-7.
DOI:10.1117/12.2506962
File: 12.2506962
Bibtex: BibTeX
@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}
}
Benjamin Wacker,
Two variants of magnetic diffusivity stabilized finite element methods for the magnetic induction equation, Mathematical Methods in the Applied Sciences , 2019. Wiley Online Library.
Bibtex: BibTeX
@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}
}
Sonja Jäckle, Jan Strehlow, and Stefan Heldmann,
Shape Sensing with Fiber Bragg Grating Sensors, in Bildverarbeitung für die Medizin 2019 , Springer, 2019, pp. 258--263.
File: 10.1007%2F978-3-658-25326-4_58
Bibtex: BibTeX
@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},
}
J. Lellmann, M. Burger, and J. (eds.) Modersitzki,
Proceedings of the 7th International Conference On Scale Space and Variational Methods in Computer Vision (SSVM 2019)., .... Springer, 2019.
Bibtex: BibTeX
@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}
}
Alessa Hering, Bram van Ginneken, and Stefan Heldmann,
mlvirnet: Multilevel variational image registration network, in International Conference on Medical Image Computing and Computer-Assisted Intervention , 2019. pp. 257--265.
Bibtex: BibTeX
@inproceedings{hering2019mlvirnet,
  title={mlvirnet: Multilevel variational image registration network},
  author={Hering, Alessa and Ginneken, Bram van and Heldmann, Stefan},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={257--265},
  year={2019},
  organization={Springer}
}
Alessa Hering, Bram Ginneken, and Stefan Heldmann,
mlVIRNET: Multilevel Variational Image Registration Network, in Proceeding of Medical Image Computing and Computer Assisted Intervention (MICCAI 2019) , Springer, 2019. pp. 257-265.
DOI:10.1007/978-3-030-32226-7_29
File: 978-3-030-32226-7_29
Bibtex: BibTeX
@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}
}
Alessa Hering, Sven Kuckertz, Stefan Heldmann, and Mattias P Heinrich,
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, International journal of computer assisted radiology and surgery , vol. 14, no. 11, pp. 1901--1912, 2019. Springer.
File: s11548-019-02068-z
Bibtex: BibTeX
@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}
}
Oliver Klein, Frederic Kanter, Hagen Kulbe, Paul Jank, Carsten Denkert, Grit Nebrich, Wolfgang D. Schmitt, Zhiyang Wu, Catarina A. Kunze, Jalid Sehouli, Silvia Darb-Esfahani, Ioana Braicu, Jan Lellmann, Herbert Thiele, and Eliane T. Taube,
MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods, PROTEOMICS – Clinical Applications , vol. 13, no. 1, pp. 1700181, 2019.
DOI:10.1002/prca.201700181
File: prca.201700181
Bibtex: BibTeX
@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}
}
Hans Meine, and Alessa Hering,
Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor, arXiv preprint arXiv:1909.08898 , 2019.
Bibtex: BibTeX
@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}
}
Thomas Vogt, and Jan Lellmann,
Functional Liftings of Vectorial Variational Problems with Laplacian Regularization, in Scale Space and Variational Methods in Computer Vision: 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30-July 4, 2019, Proceedings , Burger, Martin and Lellmann, Jan and Modersitzki, Jan, Eds. Springer International Publishing, 2019. pp. 559--571.
DOI:{{10.1007/978-3-030-22368-7_44}}
File: 1904.00898.pdf}}
Bibtex: BibTeX
@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}}}
}
Daniel Budelmann, Lars König, Nils Papenberg, and Jan Lellmann,
Fully-Deformable 3D Image Registration in Two Seconds, in Bildverarbeitung für die Medizin 2019 , Handels, Heinz and Deserno, Thomas M. and Maier, Andreas and Maier-Hein, Klaus Hermann and Palm, Christoph and Tolxdorff, Thomas, Eds. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. pp. 302--307.
Bibtex: BibTeX
@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}
}
Sonja Jäckle, Tim Eixmann, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, and Torben Pätz,
Fiber optical shape sensing of flexible instruments for endovascular navigation, International Journal of Computer Assisted Radiology and Surgery , vol. 14, no. 12, pp. 2137--2145, 2019.
File: s11548-019-02059-0
Bibtex: BibTeX
@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},
}
Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob Loo, Johannes Lotz, Nick Weiss, Jeroen Laak, Bram Ginneken, Christina Kaa, and Geert Litjens,
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard, Scientific Reports , vol. 9, 2019.
File: s41598-018-37257-4
Bibtex: BibTeX
@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},
}
Alessa Hering, Sven Kuckertz, Stefan Heldmann, and Mattias P Heinrich,
Enhancing label-driven deep deformable image registration with local distance metrics for state-of-the-art cardiac motion tracking, in Bildverarbeitung für die Medizin 2019 , Springer, 2019, pp. 309--314.
File: 10.1007%2F978-3-658-25326-4_69
Bibtex: BibTeX
@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},
}
Hans Meine, and Alessa Hering,
Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor, in Proceedings of Medical Imaging with Deep Learning (MIDL 2019) , 2019. pp. 1-4.
Bibtex: BibTeX
@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},
}
Felix Haxthausen, Sonja Jäckle, Jan Strehlow, Floris Ernst, and Veronica García-Vazquez,
Catheter pose-dependent virtual angioscopy images visualized on augmented reality glasses, 2019. pp. 289-291.
File: cdbme-2019-0073.xml
Bibtex: BibTeX
@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}
}
Valentin Kraft, Jan Strehlow, Sonja Jäckle, Veronica García-Vazquez, Florian Link, Felix Haxthausen, Andrea Schenk, and Christian Schumann,
A comparison of streaming methods for the Microsoft HoloLens, in Tagungsgband der 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC) , Oliver Burgert, Hochschule Reutlingen, Bernhard Hirt, Universität Tübingen, 2019. pp. 212-216.
ISBN:978-3-00-063717-9
Bibtex: BibTeX
@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}
}


O. Klein, F. Kanter, H. Kulbe, P. Jank, C. Denkert, G. Nebrich, W.D. Schmitt, Z. Wu, C.A. Kunze, J. Sehouli, S. Darb-Eshfahani, I. Braicu, J. Lellmann, H. Thiele, and E.T. Taube,
{MALDI}-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods, Proteomics Clinical Applications , vol. 13, no. 1, pp. 1700181, 2019.
Bibtex: BibTeX
@Article{Klein2018,
  author =  {Klein, O. and Kanter, F. and Kulbe, H. and Jank, P. and Denkert, C. and Nebrich, G. and Schmitt, W.D. and Wu, Z. and Kunze, C.A. and Sehouli, J. and Darb-Eshfahani, S. and Braicu, I. and Lellmann, J. and Thiele, H. and Taube, E.T.},
  title =   {{MALDI}-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods},
  journal = {Proteomics Clinical Applications},
  year =    {2019},
  volume =  {13},
  number =  {1},
  pages =   {1700181}
}
Kai Brehmer, Hari Om Aggrawal, Stefan Heldmann, and Jan Modersitzki,
Variational registration of multiple images with the SVD based SqN distance measure, in Scale Space and Variational Methods in Computer Vision: 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30-July 4, 2019, Proceedings , Burger, Martin and Lellmann, Jan and Modersitzki, Jan, Eds. Springer International Publishing, 2019. pp. 251--262.
DOI:{{10.1007/978-3-030-22368-7_20}}
File: 1907.09732}}
Bibtex: BibTeX
@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}}}
}

2018

T. Vogt, and J. Lellmann,
Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging, Journal of Mathematical Imaging and Vision , 2018. Springer International Publishing.
DOI:10.1007/s10851-018-0827-8
File: VogtLellmann_JMIV2018_manuscript_01.pdf
Bibtex: BibTeX
@article{VogtLellmann2018,
author ={Vogt, T. and Lellmann, J.},
publisher={Springer International Publishing},
title={Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging},
journal={Journal of Mathematical Imaging and Vision},
year={2018},
month={Jun},
day={08},
issn={1573-7683},
doi={10.1007/s10851-018-0827-8},
url={https://arxiv.org/pdf/1710.00798.pdf}
}
Kai Brehmer, Benjamin Wacker, and Jan Modersitzki,
A Novel Similarity Measure for Image Sequences, in International Workshop on Biomedical Image Registration , 2018. pp. 47--56.
DOI:{{10.1007/978-3-319-92258-4_5}}
File: 1907.09741}}
Bibtex: BibTeX
@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}}}
}
Veronica García-Vazquez, Felix Haxthausen, Sonja Jäckle, Christian Schumann, Ivo Kuhlemann, Juljan Bouchagiar, Anna-Catharina Höfer, Florian Matysiak, Gereon Hüttmann, Jan Peter Goltz, and others,
Navigation and visualisation with HoloLens in endovascular aortic repair, Innovative Surgical Sciences , vol. 3, no. 3, pp. 167--177, 2018. De Gruyter.
File: iss-2018-2001.pdf
Bibtex: BibTeX
@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}
}
Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens Berg, Hauke Schramm, Jan Modersitzki, and Carsten Meyer,
Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field, Computer Vision and Image Understanding , vol. 176, pp. 45--53, 2018. Elsevier.
Bibtex: BibTeX
@article{mader2018detection,
  title={Detection and localization of spatially correlated point landmarks in medical images using an automatically learned conditional random field},
  author={Mader, Alexander Oliver and Lorenz, Cristian and Bergtholdt, Martin and von Berg, Jens and Schramm, Hauke and Modersitzki, Jan and Meyer, Carsten},
  journal={Computer Vision and Image Understanding},
  volume={176},
  pages={45--53},
  year={2018},
  publisher={Elsevier}
}
Kai Brehmer, Benjamin Wacker, and Jan Modersitzki,
Simultaneous Registration of Image Sequences--a novel singular value based images similarity measure, PAMM , vol. 18, no. 1, pp. e201800370, 2018. Wiley Online Library.
DOI:{{10.1002/pamm.201800370}}
File: 1907.09275}}
Bibtex: BibTeX
@inproceedings{brehmer2018simultaneous,
  title={Simultaneous Registration of Image Sequences – a novel singular value
based images similarity measure},
  author={Brehmer, Kai and Wacker, Benjamin and Modersitzki, Jan},
  booktitle={Proceedings in Applied Mathematics and Mechanics - 89th GAMM Annual Meeting},
  pages={},
  year={2018},
  organization={Wiley}
}
Sonja Jäckle, and Stefan Heldmann,
Rigid Lens - Locally Rigid Approximations of Deformable Registration for Change Assessment in Thorax-Abdomen CT Follow-Up Scans, in Image Analysis for Moving Organ, Breast, and Thoracic Images , Springer, 2018, pp. 272--283.
File: 978-3-030-00946-5_27
Bibtex: BibTeX
@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},
}
Lars König,
Matrix-free approaches for deformable image registration with large-scale and real-time applications in medical imaging, Institute of Mathematics and Image Computing, University of Lübeck, 2018.
File: lkoenig-dissertation_compressed.pdf
Bibtex: BibTeX
@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},
}
Lars König, Jan Rühaak, Alexander Derksen, and Jan Lellmann,
A matrix-free approach to parallel and memory-efficient deformable image registration, SIAM Journal on Scientific Computing , vol. 40, no. 3, pp. B858--B888, 2018.
DOI:10.1137/17M1125522
File: konig2018matrix.pdf
Bibtex: BibTeX
@article{konig2018matrix,
author = {König, Lars and Rühaak, Jan and Derksen, Alexander and Lellmann, Jan},
journal = {SIAM Journal on Scientific Computing},
title = {A matrix-free approach to parallel and memory-efficient deformable image registration},
year = {2018},
volume = {40},
number = {3},
pages = {B858--B888},
url = {https://arxiv.org/abs/1804.10541},
doi = {10.1137/17M1125522}
}
Thomas Polzin,
Large Deformation Diffeomorphic Metric Mappings - Theory, Numerics, and Applications, Institute of Mathematics and Image Computing, University of Lübeck, 2018.
File: 20180610_Diss_Thomas_Polzin_LDDMM_onlineVersion_comp.pdf
Bibtex: BibTeX
@phdthesis{2018-PhD-Polzin,
  Author = {Thomas Polzin},
  Title = {Large Deformation Diffeomorphic Metric Mappings -- Theory, Numerics, and Applications},
  School = {Institute of Mathematics and Image Computing, University of L\"ubeck},
  Year = {2018},
}
Benedikt Loewenhauser, and Jan Lellmann,
Functional Lifting for Variational Problems with Higher-Order, Imaging, Vision and Learning Based on Optimization and PDEs: IVLOPDE, Bergen, Norway, August 29--September 2, 2016 , pp. 101, 2018. Springer.
File: 10.1007%2F978-3-319-91274-5_5
Bibtex: BibTeX
@article{loewenhauser2018functional,
  title={Functional Lifting for Variational Problems with Higher-Order},
  author={Loewenhauser, Benedikt and Lellmann, Jan},
  journal={Imaging, Vision and Learning Based on Optimization and PDEs: IVLOPDE, Bergen, Norway, August 29--September 2, 2016},
  pages={101},
  year={2018},
  publisher={Springer},
  URL={https://link.springer.com/chapter/10.1007%2F978-3-319-91274-5_5}
}
Erik A Hanson, Constantin Sandmann, Alexander Malyshev, Arvid Lundervold, Jan Modersitzki, and Erlend Hodneland,
Estimating the discretization dependent accuracy of perfusion in coupled capillary flow measurements, PloS one , vol. 13, no. 7, pp. e0200521, 2018. Public Library of Science.
Bibtex: BibTeX
@article{hanson2018estimating,
  title={Estimating the discretization dependent accuracy of perfusion in coupled capillary flow measurements},
  author={Hanson, Erik A and Sandmann, Constantin and Malyshev, Alexander and Lundervold, Arvid and Modersitzki, Jan and Hodneland, Erlend},
  journal={PloS one},
  volume={13},
  number={7},
  pages={e0200521},
  year={2018},
  publisher={Public Library of Science}
}

2017

Jan Rühaak, Lars König, Florian Tramnitzke, Harald Köstler, and Jan Modersitzki,
A Matrix-Free Approach to Efficient Affine-Linear Image Registration on CPU and GPU, Journal of Real-Time Image Processing , vol. 13, no. 1, pp. 205--225, 2017. Springer.
File: ruhaak2016matrix.pdf
Bibtex: BibTeX
@ARTICLE{ruhaak2017matrix,
  author = {R\"{u}haak, Jan and K\"{o}nig, Lars and Tramnitzke, Florian and K\"{o}stler, Harald and Modersitzki, Jan},
  title = {A {M}atrix-{F}ree {A}pproach to {E}fficient {A}ffine-{L}inear {I}mage {R}egistration on {CPU} and {GPU}},
  journal = {{J}ournal of {R}eal-{T}ime {I}mage {P}rocessing},
  year      = {2017},
  volume    = {13},
  number    = {1},
  pages     = {205--225},
  issn      = {1861-8219},
  publisher = {Springer},
  url = {http://dx.doi.org/10.1007/s11554-016-0564-4}
}
Caterina Rust, Stephanie Häger, Nadine Traulsen, and Jan Modersitzki,
A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images, Current Directions in Biomedical Engineering , vol. 3, no. 2, pp. 533--537, 2017. De Gruyter.
Bibtex: BibTeX
@article{rust3robust,
  title={A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images},
  author={Rust, Caterina and H{\"a}ger, Stephanie and Traulsen, Nadine and Modersitzki, Jan},
  journal={Current Directions in Biomedical Engineering},
  volume={3},
  number={2},
  year={2017},
  pages={533--537},
  publisher={De Gruyter}
}
Lars Ruthotto, Chen Greif, and Jan Modersitzki,
A stabilized multigrid solver for hyperelastic image registration, Numerical Linear Algebra with Applications , vol. 24, no. 5, pp. e2095, 2017. Wiley Online Library.
Bibtex: BibTeX
@article{ruthotto2017stabilized,
  title={A stabilized multigrid solver for hyperelastic image registration},
  author={Ruthotto, Lars and Greif, Chen and Modersitzki, Jan},
  journal={Numerical Linear Algebra with Applications},
  volume={24},
  number={5},
  pages={e2095},
  year={2017},
  publisher={Wiley Online Library}
}
Thomas Vogt, and Jan Lellmann,
An Optimal Transport-Based Restoration Method for Q-Ball Imaging, in Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings , Lauze, Francois and Dong, Yiqiu and Dahl, Anders Bjorholm, Eds. Springer International Publishing, 2017. pp. 271--282.
DOI:{{10.1007/978-3-319-58771-4_22}}
File: VogtLellmann_SSVM2017_Preprint.pdf
Bibtex: BibTeX
@INPROCEEDINGS{vogt2017qball,
author={Vogt, Thomas and Lellmann, Jan},
title={An Optimal Transport-Based Restoration Method for Q-Ball Imaging},
booktitle={Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings},
pages={271--282},
year={2017},
publisher={Springer International Publishing},
editor={Lauze, Fran{\c{c}}ois and Dong, Yiqiu and Dahl, Anders Bjorholm},
doi={{{10.1007/978-3-319-58771-4_22}}}
}
Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens Berg, Hauke Schramm, Jan Modersitzki, and Carsten Meyer,
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field, in Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics , Springer, 2017, pp. 64--75.
Bibtex: BibTeX
@incollection{mader2017detection,
  title={Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field},
  author={Mader, Alexander Oliver and Lorenz, Cristian and Bergtholdt, Martin and von Berg, Jens and Schramm, Hauke and Modersitzki, Jan and Meyer, Carsten},
  booktitle={Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics},
  pages={64--75},
  year={2017},
  publisher={Springer}
}
Constantin M. Sandmann,
Dynamic Models and Coupling in Medical 4D Imaging, Institute of Mathematics and Image Computing, University of Lübeck, 2017.
File: ediss1862.pdf
Bibtex: BibTeX
@phdthesis{2017-PhD-Sandmann,
  Author = {Constantin M. Sandmann},
  Title = {Dynamic Models and Coupling in Medical 4D Imaging},
  School = {Institute of Mathematics and Image Computing, University of L\"ubeck},
  Year = {2017},
}
Jan Rühaak, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson, Heinz Handels, Jan Modersitzki, and Mattias P. Heinrich,
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. IEEE.
Bibtex: BibTeX
@article{ruhaak2017estimation,
  title={Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration},
  author={R{\"u}haak, Jan and Polzin, Thomas and Heldmann, Stefan and Simpson, Ivor J. A. and Handels, Heinz and Modersitzki, Jan and Heinrich, Mattias P.},
  journal={IEEE Transactions on Medical Imaging},
  volume = {36},
  number = {8},
  pages = {1746--1757},
  year={2017},
  publisher={IEEE}
}
Y. Korolev, and J. Lellmann,
"Image reconstruction with imperfect forward models and applications in deblurring" 2017.
File: 1708.01244
Bibtex: BibTeX
@TechReport{KorolevLellmann2017,
  author =      {Korolev, Y. and Lellmann, J.},
  title =       {Image reconstruction with imperfect forward models and applications in deblurring},
  institution = {University of Luebeck},
  year =        {2017},
  type =        {Preprint},
  number =      {arXiv:1708.01244},
  url =         {https://arxiv.org/abs/1708.01244}
}