2024

Jakob Schumacher, Lisa Kühne, Sophia Brüssermann, Benjamin Geisler, and Sonja Jäckle,
COVID-19 isolation and quarantine orders in Berlin-Reinickendorf (Germany): How many, how long and to whom?, Plos one , vol. 19, no. 3, pp. e0271848, 2024. Public Library of Science San Francisco, CA USA.
File: Dateilink
Bibtex: BibTeX
@article{schumacher2024covid,
  title={COVID-19 isolation and quarantine orders in Berlin-Reinickendorf (Germany): How many, how long and to whom?},
  author={Schumacher, Jakob and Kühne, Lisa and Brüssermann, Sophia and Geisler, Benjamin and Jäckle, Sonja},
  journal={Plos one},
  volume={19},
  number={3},
  pages={e0271848},
  year={2024},
  publisher={Public Library of Science San Francisco, CA USA}
}
Johannes Bostelmann, Ole Gildemeister, and Jan Lellmann,
Stationary Velocity Fields on Matrix Groups for Deformable Image Registration, arXiv preprint arXiv:2410.10997 , 2024.
File: Dateilink
Bibtex: BibTeX
@article{bostelmann2024stationary,
  title={Stationary Velocity Fields on Matrix Groups for Deformable Image Registration},
  author={Bostelmann, Johannes and Gildemeister, Ole and Lellmann, Jan},
  journal={arXiv preprint arXiv:2410.10997},
  year={2024}
}
Danielle Bednarski,
Functional Lifting: Nonlinear Inverse Scale Space Iterations and Neural Fields, Universität zu Lübeck, 2024.
File: Dateilink
Boqiang Huang, Jiayu Ying, Ruizhi Lyu, Nadine S. Schaadt, Barbara M. Klinkhammer, Peter Boor, Johannes Lotz, Friedrich Feuerhake, and Dorit Merhof,
Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation, in 2024 IEEE International Symposium on Biomedical Imaging (ISBI) , 2024. pp. 1-5.
DOI:10.1109/ISBI56570.2024.10635778
Kai Geißler, Daniel Mensing, Markus Wenzel, Jochen G. Hirsch, and Stefan Heldmann,
Towards TotalSegmentator for MRI data leveraging GIN data augmentation, in Medical Imaging 2024: Image Processing , Olivier Colliot and Jhimli Mitra, Eds. SPIE, 2024. pp. 1292604.
Bibtex: BibTeX
@inproceedings{GeilerEtAl2024,
	author = {Kai Geißler and Daniel Mensing and Markus Wenzel and Jochen G. Hirsch and Stefan Heldmann},
	booktitle = {Medical Imaging 2024: Image Processing},
	editor = {Olivier Colliot and Jhimli Mitra},
	organization = {International Society for Optics and Photonics},
	pages = {1292604},
	publisher = {SPIE},
	title = {Towards TotalSegmentator for MRI data leveraging GIN data augmentation}},
	volume = {12926},
	year = {2024}
Till Nicke, Jan Raphael Schaefer, Henning Hoefener, Friedrich Feuerhake, Dorit Merhof, Fabian Kiessling, and Johannes Lotz,
Tissue Concepts: supervised foundation models in computational pathology, arXiv preprint arXiv:2409.03519 , 2024.
File: Dateilink
Bibtex: BibTeX
@misc{nicke2024tissueconceptssupervisedfoundation,
      title={Tissue Concepts: supervised foundation models in computational pathology}, 
      author={Till Nicke and Jan Raphael Schaefer and Henning Hoefener and Friedrich Feuerhake and Dorit Merhof and Fabian Kiessling and Johannes Lotz},
      year={2024},
      eprint={2409.03519},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2409.03519}, 
}
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R.A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno {De Santi}, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, and Mattias Rantalainen,
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue, Medical Image Analysis , vol. 97, pp. 103257, 2024.
File: Dateilink
Bibtex: BibTeX
@article{WeitzEtAl2024,
	author = {Philippe Weitz and Masi Valkonen and Leslie Solorzano and Circe Carr and Kimmo Kartasalo and Constance Boissin and Sonja Koivukoski and Aino Kuusela and Dusan Rasic and Yanbo Feng and Sandra Sinius Pouplier and Abhinav Sharma and Kajsa Ledesma Eriksson and Stephanie Robertson and Christian Marzahl and Chandler D. Gatenbee and Alexander R.A. Anderson and Marek Wodzinski and Artur Jurgas and Niccolò Marini and Manfredo Atzori and Henning Müller and Daniel Budelmann and Nick Weiss and Stefan Heldmann and Johannes Lotz and Jelmer M. Wolterink and Bruno {De Santi} and Abhijeet Patil and Amit Sethi and Satoshi Kondo and Satoshi Kasai and Kousuke Hirasawa and Mahtab Farrokh and Neeraj Kumar and Russell Greiner and Leena Latonen and Anne-Vibeke Laenkholm and Johan Hartman and Pekka Ruusuvuori and Mattias Rantalainen},
	journal = {Medical Image Analysis},
	pages = {103257},
	title = {The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue},
	volume = {97},
	year = {2024}}
Kai Geißler, Jochen G. Hirsch, Stefan Heldmann, and Hans Meine,
Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction, in Medical Imaging with Deep Learning , 2024.
File: Dateilink
Bibtex: BibTeX
@inproceedings{GeißlerEtl2024,
	author = {Kai Geißler and Jochen G. Hirsch and Stefan Heldmann and Hans Meine},
	booktitle = {Medical Imaging with Deep Learning},
	title = {Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction},
	year = {2024}}
Saskia Neuber, Pia F Schulz, Sven Kuckertz, and Jan Modersitzki,
Segmentation-inspired Image Registration, in Bildverarbeitung für die Medizin 2024: Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024 , 2024. pp. 205.
File: Dateilink
Bibtex: BibTeX
@inproceedings{neuber2024segmentation,
title={Segmentation-inspired Image Registration},
author={Neuber, Saskia and Schulz, Pia F and Kuckertz, Sven and Modersitzki, Jan},
booktitle={Bildverarbeitung für die Medizin 2024: Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024},
pages={205},
year={2024},
organization={Springer-Verlag}
}
Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, and Carola-Bibiane Schönlieb,
Riemannian geometry for efficient analysis of protein dynamics data, Proceedings of the National Academy of Sciences , vol. 121, no. 33, pp. e2318951121, 2024. National Academy of Sciences.
File: Dateilink
Bibtex: BibTeX
@article{diepeveen2024riemannian,
  title={Riemannian geometry for efficient analysis of protein dynamics data},
  author={Diepeveen, Willem and Esteve-Yagüe, Carlos and Lellmann, Jan and Öktem, Ozan and Schönlieb, Carola-Bibiane},
  journal={Proceedings of the National Academy of Sciences},
  volume={121},
  number={33},
  pages={e2318951121},
  year={2024},
  publisher={National Academy of Sciences}
}
Natacha Kuete Meli,
Quantum Algorithms for Binary Problems with Applications to Image Processing, Universität zu Lübeck, 2024.
File: Dateilink
Bibtex: BibTeX
@phdthesis{meli2024quantum,
  title={Quantum Algorithms for Binary Problems with Applications to Image Processing},
  author={Meli, Natacha Kuete},
  year={2024},
  school={Universität zu Lübeck} 
}
Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, and Fabian Kiessling,
Overcoming data scarcity in biomedical imaging with a foundational multi-task model, Nature Computational Science , vol. 4, no. 7, pp. 495--509, 2024. Nature Publishing Group US New York.
File: Dateilink
Bibtex: BibTeX
@article{schafer2024overcoming,
  title={Overcoming data scarcity in biomedical imaging with a foundational multi-task model},
  author={Schäfer, Raphael and Nicke, Till and Höfener, Henning and Lange, Annkristin and Merhof, Dorit and Feuerhake, Friedrich and Schulz, Volkmar and Lotz, Johannes and Kiessling, Fabian},
  journal={Nature Computational Science},
  volume={4},
  number={7},
  pages={495--509},
  year={2024},
  publisher={Nature Publishing Group US New York}
}
Johanna Brosig, Nina Krüger, Inna Khasyanova, Isaac Wamala, Matthias Ivantsits, Simon Sündermann, Jörg Kempfert, Stefan Heldmann, and Anja Hennemuth,
Learning three-dimensional aortic root assessment based on sparse annotations, Journal of Medical Imaging , vol. 11, no. 4, pp. 044504, 2024.
File: Dateilink
Bibtex: BibTeX
@article{BrosigEtAl2024b,
	author = {Johanna Brosig and Nina Krüger and Inna Khasyanova and Isaac Wamala and Matthias Ivantsits and Simon Sündermann and Jörg Kempfert and Stefan Heldmann and Anja Hennemuth},
	journal = {Journal of Medical Imaging},
	number = {4},
	pages = {044504},
	title = {Learning three-dimensional aortic root assessment based on sparse annotations},
	volume = {11},
	year = {2024}}
Johanna Brosig, Nina Krüger, Isaac Wamala, Matthias Ivantsits, Simon Sündermann, Jörg Kempfert, Stefan Heldmann, and Anja Hennemuth,
Learning 3D aortic root assessment based on sparse annotations, in Medical Imaging 2024: Computer-Aided Diagnosis , Weijie Chen and Susan M. Astley, Eds. SPIE, 2024. pp. 129271S.
Bibtex: BibTeX
@inproceedings{BrosigEtAl2024,
	author = {Johanna Brosig and Nina Krüger and Isaac Wamala and Matthias Ivantsits and Simon Sündermann and Jörg Kempfert and Stefan Heldmann and Anja Hennemuth},
	booktitle = {Medical Imaging 2024: Computer-Aided Diagnosis},
	editor = {Weijie Chen and Susan M. Astley},
	organization = {International Society for Optics and Photonics},
	pages = {129271S},
	publisher = {SPIE},
	title = {Learning 3D aortic root assessment based on sparse annotations}},
	volume = {12927},
	year = {2024}
Temke Kohlbrandt, Jan Moltz, Stefan Heldmann, Alessa Hering, and Jan Lellmann,
Joint Learning of Image Registration and Change Detection for Lung CT Images, in Bildverarbeitung für die Medizin 2024 , Maier, Andreas and Deserno, Thomas M. and Handels, Heinz and Maier-Hein, Klaus and Palm, Christoph and Tolxdorff, Thomas, Eds. Wiesbaden: Springer Fachmedien Wiesbaden, 2024. pp. 46--51.
File: Dateilink
Bibtex: BibTeX
@inproceedings{KohlbrandtEtAl2024,
	address = {Wiesbaden},
	author = {Kohlbrandt, Temke and Moltz, Jan and Heldmann, Stefan and Hering, Alessa and Lellmann, Jan},
	booktitle = {Bildverarbeitung für die Medizin 2024},
	editor = {Maier, Andreas and Deserno, Thomas M. and Handels, Heinz and Maier-Hein, Klaus and Palm, Christoph and Tolxdorff, Thomas},
	pages = {46--51},
	publisher = {Springer Fachmedien Wiesbaden},
	title = {Joint Learning of Image Registration and Change Detection for Lung CT Images},
	year = {2024}}
Anna Rörich, Annkristin Lange, Stefan Heldmann, Jan Hendrik Moltz, Lars Walczak, Sinef Yarar-Schlickewei, Felix Güttler, and Joachim Georgii,
Inferring 3D finger bone shapes from 2D images -- a detailed analysis of shape accuracy, Computer Methods in Biomechanics and Biomedical Engineering: Imaging \& Visualization , vol. 12, no. 1, pp. 2359397, 2024.
File: Dateilink
Bibtex: BibTeX
@article{RoerichEtAl2024,
	author = {Anna Rörich and Annkristin Lange and Stefan Heldmann and Jan Hendrik Moltz and Lars Walczak and Sinef Yarar-Schlickewei and Felix Güttler and Joachim Georgii},
	journal = {Computer Methods in Biomechanics and Biomedical Engineering: Imaging \& Visualization},
	number = {1},
	pages = {2359397},
	title = {Inferring 3D finger bone shapes from 2D images -- a detailed analysis of shape accuracy},
	volume = {12},
	year = {2024}}
Sina Walluscheck, Annika Gerken, Ivana Galinovic, Kersten Villringer, Jochen B. Fiebach, Jan Klein, and Stefan Heldmann,
Generative adversarial network--based reconstruction of healthy anatomy for anomaly detection in brain CT scans, Journal of Medical Imaging , no. 4, pp. 044508, 2024.
File: Dateilink
Bibtex: BibTeX
@article{WalluscheckEtAl2024,
	author = {Sina Walluscheck and Annika Gerken and Ivana Galinovic and Kersten Villringer and Jochen B. Fiebach and Jan Klein and Stefan Heldmann},
	journal = {Journal of Medical Imaging},
	number = {4},
	pages = {044508},
	title = {Generative adversarial network--based reconstruction of healthy anatomy for anomaly detection in brain CT scans}},
	volume = {11},
	year = {2024}

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},
}
Nassim Bouteldja, David Laurin Hölscher, Barbara Mara Klinkhammer, Roman David Buelow, Johannes Lotz, Nick Weiss, Christoph Daniel, Kerstin Amann, and Peter Boor,
Stain-Independent Deep Learning–Based Analysis of Digital Kidney Histopathology, The American Journal of Pathology , vol. 193, no. 1, pp. 73-83, 2023.
DOI:https://doi.org/10.1016/j.ajpath.2022.09.011
File: S0002944022003212
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}
}
Maryam Berijanian, Nadine S. Schaadt, Boqiang Huang, Johannes Lotz, Friedrich Feuerhake, and Dorit Merhof,
Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy, Journal of Pathology Informatics , vol. 14, pp. 100195, 2023.
DOI:https://doi.org/10.1016/j.jpi.2023.100195
File: S2153353923000093
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},
}
Ruqayya Awan, Shan E. Ahmed Raza, Johannes Lotz, Nick Weiss, and Nasir Rajpoot,
Deep feature based cross-slide registration, Computerized Medical Imaging and Graphics , vol. 104, pp. 102162, 2023.
DOI:https://doi.org/10.1016/j.compmedimag.2022.102162
File: S089561112200132X
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}
}
Natacha Kuete Meli, Florian Mannel, and Jan Lellmann,
A universal quantum algorithm for weighted maximum cut and Ising problems, Quantum Information Processing , vol. 22, no. 7, pp. 279, 2023. Springer.
Bibtex: BibTeX
@article{kuete2023universal,
  title={A universal quantum algorithm for weighted maximum cut and Ising problems},
  author={Kuete Meli, Natacha and Mannel, Florian and Lellmann, Jan},
  journal={Quantum Information Processing},
  volume={22},
  number={7},
  pages={279},
  year={2023},
  publisher={Springer}
}
Florian Mannel, Hari Om Aggrawal, and Jan Modersitzki,
A structured L-BFGS method and its application to inverse problems, Inverse Problems , 2023.

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}
}
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}
}
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},
}
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},
}
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}
}
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},
}
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}
}

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.},
}
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}
}
Maschenka CA. Balkenhol, Francesco Ciompi, Żaneta Świderska-Chadaj, Rob {van Loo}, Milad Intezar, Irene Otte-Höller, Daan Geijs, Johannes Lotz, Nick Weiss, Thomas {de Bel}, Geert Litjens, Peter Bult, and Jeroen AWM. {van Laak},
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics, The Breast , vol. 56, pp. 78-87, 2021.
DOI:https://doi.org/10.1016/j.breast.2021.02.007
File: S0960977621000217
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}
}
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, 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}
}

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, 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}
}
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}
}
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}
}
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:https://doi.org/10.4103/jpi.jpi_84_20
File: S2153353922001353
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}
}
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}
}
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

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, in 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) , IEEE, 2020. pp. 1770-1774.
DOI:10.1109/ISBI45749.2020.9098409
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},
}
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.
File: ediss2302.pdf
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, 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},
}
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}
}
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}
}
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},
}
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}
}
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}
}
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},
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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 Yushkevich, Shengyu Zhao, and Arrate Muñoz-Barrutia,
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge, IEEE Transactions on Medical Imaging , vol. 39, no. 10, pp. 3042-3052, 2020. IEEE.
DOI:10.1109/TMI.2020.2986331
File: tmi.2020.2986331

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}}}
}
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}}}
}
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 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}
}
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}
}
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}}}
}
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},
}
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}
}
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}
}


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}
}
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}
}
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}
}