2026

Josephine Elisabeth Oettinger, Zakhar Shumaylov, Johannes Bostelmann, Jan Lellmann, and Carola-Bibiane Schönlieb,
Diffeomorphism-Equivariant Neural Networks, arXiv preprint arXiv:2602.06695 , 2026.
DOI:https://doi.org/10.48550/arXiv.2602.06695
Bibtex: BibTeX
@article{oettinger2026diffeomorphism,
  title={Diffeomorphism-Equivariant Neural Networks},
  author={Oettinger, Josephine Elisabeth and Shumaylov, Zakhar and Bostelmann, Johannes and Lellmann, Jan and Sch{\"o}nlieb, Carola-Bibiane},
  journal={arXiv preprint arXiv:2602.06695},
  year={2026}
}
Pia Franziska Schulz,
Analysis of 3D/2D Image Registration and a New Registration Approach Based on Residual Neural Networks, 2026.
File: PHD_Pia_Schulz.pdf
Bibtex: BibTeX
Analysis of 3D/2D Image Registration and a New
Registration Approach Based on Residual Neural Networks
Stefan Heldmann, Sven Kuckertz, Nasim Givehchi, Thomas Coradi, Mikel Byrne, Ben Archibald-Heeren, and Nils Papenberg,
A practical probabilistic framework for deformable image registration uncertainty in radiotherapy dose propagation, arXiv preprint arXiv:2606.09253 , 2026.
DOI:https://doi.org/10.48550/arXiv.2606.09253
Bibtex: BibTeX
@article{heldmann2026practical,
  title={A practical probabilistic framework for deformable image registration uncertainty in radiotherapy dose propagation},
  author={Heldmann, Stefan and Kuckertz, Sven and Givehchi, Nasim and Coradi, Thomas and Byrne, Mikel and Archibald-Heeren, Ben and Papenberg, Nils},
  journal={arXiv preprint arXiv:2606.09253},
  year={2026}
}
Temke Kohlbrandt, Kai Geißler, and Stefan Heldmann,
How Predictable is the Human Body?: Predicting Organ Bounding Boxes With a Statistical Atlas Based on Four Keypoints, Mar.2026, pp. 26-32.
DOI:10.1007/978-3-658-51100-5_5
ISBN:978-3-658-51099-2
Bibtex: BibTeX
@inbook {
author={Kohlbrandt, Temke and Geissler, Kai and Heldmann, Stefan},
year={2026},
month={03},
pages={26-32},
title={How Predictable is the Human Body?: Predicting Organ Bounding Boxes With a Statistical Atlas Based on Four Keypoints},
isbn={978-3-658-51099-2},
doi={10.1007/978-3-658-51100-5_5}
}
Sina Walluscheck, Vanja Cangalovic, Tanja Lossau, Stefan Heldmann, and Jan Moltz,
Neural Instance Optimization for Lesion Segmentation in Follow-up CT, Mar.2026, pp. 468-474.
DOI:10.1007/978-3-658-51100-5_95
ISBN:978-3-658-51099-2
Bibtex: BibTeX
@inbook{inbook,
author = {Walluscheck, Sina and Cangalovic, Vanja and Lossau, Tanja and Heldmann, Stefan and Moltz, Jan},
year = {2026},
month = {03},
pages = {468-474},
title = {Neural Instance Optimization for Lesion Segmentation in Follow-up CT},
isbn = {978-3-658-51099-2},
doi = {10.1007/978-3-658-51100-5_95}
}
Johannes Bostelmann, and Jan Lellmann,
Liemorph-Transformer-based Image Registration using Flows on Lie Groups., in Bildverarbeitung für die Medizin , 2026. pp. 106—107.
Weblink: https://www.mic.uni-luebeck.de/fileadmin/mic/publications/2026/Liemorph-Transformer-based_Image_Registration_using_Flows_on_Lie_Groups.pdf
Bibtex: BibTeX
@inproceedings{bostelmann2026liemorph,
  title={Liemorph-Transformer-based Image Registration using Flows on Lie Groups.},
  author={Bostelmann, Johannes and Lellmann, Jan},
  booktitle={Bildverarbeitung f{\"u}r die Medizin},
  pages={106--107},
  year={2026}
}
Johannes Bostelmann, Ole Gildemeister, and Jan Lellmann,
Stationary velocity fields on matrix groups for deformable image registration, Journal of Mathematical Imaging and Vision , vol. 68, no. 2, pp. 9, 2026. Springer,
DOI:https://doi.org/10.1007/s10851-026-01284-y
Weblink: https://www.mic.uni-luebeck.de/fileadmin/mic/publications/2026/s10851-026-01284-y.pdf
Bibtex: BibTeX
@article{bostelmann2026stationary,
  title={Stationary velocity fields on matrix groups for deformable image registration},
  author={Bostelmann, Johannes and Gildemeister, Ole and Lellmann, Jan},
  journal={Journal of Mathematical Imaging and Vision},
  volume={68},
  number={2},
  pages={9},
  year={2026},
  publisher={Springer}
}
Sergios Gatidis, Felix Peisen, Andreas Wagner, Pauline Ornela Megne Choudja, Ahmed Othman, Antoine Sanner, Nils Grauhan, Suam Kim, Dirk Graafen, Lukas Müller, Tanja Loßau, Jan Hendrik Moltz, Temke Kohlbrandt, Alessa Hering, Christian La Fougère, Konstantin Nikolaou, and Thomas Küstner,
A longitudinal whole-body CT dataset with manually annotated tumor lesions, Scientific Data , 2026. Nature Publishing Group UK London.
Bibtex: BibTeX
@article{gatidis2026longitudinal,
  title={A longitudinal whole-body CT dataset with manually annotated tumor lesions},
  author={Gatidis, Sergios and Peisen, Felix and Wagner, Andreas and Choudja, Pauline Ornela Megne and Othman, Ahmed and Sanner, Antoine and Grauhan, Nils and Kim, Suam and Graafen, Dirk and M{\"u}ller, Lukas and others},
  journal={Scientific Data},
  year={2026},
  publisher={Nature Publishing Group UK London}
}
Max JJ Grauw, Max Westphal, Ewoud J Smit, Ernst Th Scholten, Tanja Loßau, Jan Moltz, Silvia Bottazzi, Renato Cuocolo, Anna D’Angelo, Ajo B George, and Harry Haynes,
Multicenter AI-versus Expert-Assisted RECIST Target Lesion Measurements in Follow-Up Body CT of Cancer Patients, Radiology Advances , pp. umag028, 2026. Oxford University Press.
Bibtex: BibTeX
@article{de2026multicenter,
  title={Multicenter AI-versus Expert-Assisted RECIST Target Lesion Measurements in Follow-Up Body CT of Cancer Patients},
  author={de Grauw, Max JJ and Westphal, Max and Smit, Ewoud J and Scholten, Ernst Th and Lo{\ss}au, Tanja and Moltz, Jan and Bottazzi, Silvia and Cuocolo, Renato and D’Angelo, Anna and George, Ajo B and others},
  journal={Radiology Advances},
  pages={umag028},
  year={2026},
  publisher={Oxford University Press}
}
Hendrik Laue, Daniel Budelmann, Mohamed Albadry, Christiane Engel, Nick Weiss, Uta Dahmen, and Lars Ole Schwen,
Joint zonated quantification of multiple parameters in hepatic lobules, Scientific Reports , 2026. Nature Publishing Group UK London.
Bibtex: BibTeX
@article{laue2026joint,
  title={Joint zonated quantification of multiple parameters in hepatic lobules},
  author={Laue, Hendrik and Budelmann, Daniel and Albadry, Mohamed and Engel, Christiane and Weiss, Nick and Dahmen, Uta and Schwen, Lars Ole},
  journal={Scientific Reports},
  year={2026},
  publisher={Nature Publishing Group UK London}
}

2025

Pia F Schulz, Florian Mannel, and Jan Modersitzki,
Appropriate Order of Regularization in 3D/2D Image Registration, in International Conference on Scale Space and Variational Methods in Computer Vision , 2025. pp. 377—390.
Bibtex: BibTeX
@inproceedings{schulz2025appropriate,
  title={Appropriate Order of Regularization in 3D/2D Image Registration},
  author={Schulz, Pia F and Mannel, Florian and Modersitzki, Jan},
  booktitle={International Conference on Scale Space and Variational Methods in Computer Vision},
  pages={377--390},
  year={2025},
  organization={Springer}
}
Saskia Neuber, and Jan Modersitzki,
A Multigrid Approach for Fourth-Order Equations in Image Registration, in International Conference on Scale Space and Variational Methods in Computer Vision , 2025. pp. 391—403.
Weblink: https://www.mic.uni-luebeck.de/fileadmin/mic/publications/2025/978-3-031-92369-2_30.pdf
Bibtex: BibTeX
@inproceedings{neuber2025multigrid,
  title={A Multigrid Approach for Fourth-Order Equations in Image Registration},
  author={Neuber, Saskia and Modersitzki, Jan},
  booktitle={International Conference on Scale Space and Variational Methods in Computer Vision},
  pages={391--403},
  year={2025},
  organization={Springer}
}
Ole Gildemeister, Johannes Bostelmann, Pia F Schulz, Andra Oltmann, Phillip Rostalski, Jan Modersitzki, and Jan Lellmann,
Time-Continuous Sliding Motion Image Registration Using Stationary Velocity Fields for Respiratory Motion Interpolation, in International Conference on Scale Space and Variational Methods in Computer Vision , 2025. pp. 404—416.
File: 978-3-031-92369-2_31.pdf
Bibtex: BibTeX
@inproceedings{gildemeister2025time,
  title={Time-Continuous Sliding Motion Image Registration Using Stationary Velocity Fields for Respiratory Motion Interpolation},
  author={Gildemeister, Ole and Bostelmann, Johannes and Schulz, Pia F and Oltmann, Andra and Rostalski, Phillip and Modersitzki, Jan and Lellmann, Jan},
  booktitle={International Conference on Scale Space and Variational Methods in Computer Vision},
  pages={404--416},
  year={2025},
  organization={Springer}
}
Pia F Schulz, Andra Oltmann, Johannes Bostelmann, Ole Gildemeister, Franz Wegner, Jan Lellmann, Philipp Rostalski, and Jan Modersitzki,
Image registration for a dynamic breathing model, in BVM Workshop , 2025. pp. 5—11.
File: 978-3-658-47422-5_4
Bibtex: BibTeX
@inproceedings{schulz2025image,
  title={Image registration for a dynamic breathing model},
  author={Schulz, Pia F and Oltmann, Andra and Bostelmann, Johannes and Gildemeister, Ole and Wegner, Franz and Lellmann, Jan and Rostalski, Philipp and Modersitzki, Jan},
  booktitle={BVM Workshop},
  pages={5--11},
  year={2025},
  organization={Springer}
}
Andra Oltmann, Ole Gildemeister, Johannes Bostelmann, Pia F Schulz, Jan Grashoff, Franz Wegner, Alex Frydrychowicz, Jan Lellmann, Jan Modersitzki, Tobias Knopp, and Tanja Loßau,
Simulation of Diaphragmatic Motor Unit Action Potentials Throughout the Respiratory Cycle Using a Dynamic Breathing Model., in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference , 2025. pp. 1—7.
DOI:https://doi.org/10.1109/embc58623.2025.11251650
Bibtex: BibTeX
@inproceedings{oltmann2025simulation,
  title={Simulation of Diaphragmatic Motor Unit Action Potentials Throughout the Respiratory Cycle Using a Dynamic Breathing Model.},
  author={Oltmann, Andra and Gildemeister, Ole and Bostelmann, Johannes and Schulz, Pia F and Grashoff, Jan and Wegner, Franz and Frydrychowicz, Alex and Lellmann, Jan and Modersitzki, Jan and Knopp, Tobias and others},
  booktitle={Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference},
  volume={2025},
  pages={1--7},
  year={2025}
}
Till Nicke, Jan Raphael Schäfer, Henning Höfener, Friedrich Feuerhake, Dorit Merhof, Fabian Kiessling, and Johannes Lotz,
Tissue concepts: Supervised foundation models in computational pathology, Computers in Biology and Medicine , vol. 186, pp. 109621, 2025. Elsevier.
File: Tissue_concepts-_Supervised_foundation_models_in_computational_pathology.pdf
Bibtex: BibTeX
@article{nicke2025tissue,
  title={Tissue concepts: Supervised foundation models in computational pathology},
  author={Nicke, Till and Sch{\"a}fer, Jan Raphael and H{\"o}fener, Henning and Feuerhake, Friedrich and Merhof, Dorit and Kie{\ss}ling, Fabian and Lotz, Johannes},
  journal={Computers in Biology and Medicine},
  volume={186},
  pages={109621},
  year={2025},
  publisher={Elsevier}
}
Boqiang Huang, Wissem Benjeddou, Nadine S Schaadt, Johannes Lotz, Friedrich Feuerhake, and Dorit Merhof,
Preservation of Image Content in Stain-to-stain Translation for Digital Pathology, in BVM Workshop , 2025. pp. 119—128.
File: Preservation_of_Image_Content_in_Stain-to-stain_Translation_for_Digital_Pathology.pdf
Bibtex: BibTeX
@inproceedings{huang2025preservation,
  title={Preservation of Image Content in Stain-to-stain Translation for Digital Pathology},
  author={Huang, Boqiang and Benjeddou, Wissem and Schaadt, Nadine S and Lotz, Johannes and Feuerhake, Friedrich and Merhof, Dorit},
  booktitle={BVM Workshop},
  pages={119--128},
  year={2025},
  organization={Springer}
}
Till Nicke, Daniela Schacherer, Jan Raphael Schäfer, Natalia Artysh, Antje Prasse, André Homeyer, Andrea Schenk, Henning Höfener, and Johannes Lotz,
Tissue Concepts v2: A Supervised Foundation Model For Whole Slide Images, arXiv preprint arXiv:2507.05742 , 2025.
File: Tissue_Concepts_v2.pdf
Bibtex: BibTeX
@article{nicke2025tissue,
  title={Tissue Concepts v2: A Supervised Foundation Model For Whole Slide Images},
  author={Nicke, Till and Schacherer, Daniela and Sch{\"a}fer, Jan Raphael and Artysh, Natalia and Prasse, Antje and Homeyer, Andr{\'e} and Schenk, Andrea and H{\"o}fener, Henning and Lotz, Johannes},
  journal={arXiv preprint arXiv:2507.05742},
  year={2025}
}
Marta Grzeski, Patrick Moeller Jensen, Benjamin-Florian Hempel, Herbert Thiele, Jan Lellmann, Simon Schallenberg, Volker Budach, Ulrich Keilholz, Ingeborg Tinhofer, and Oliver Klein,
Integrating MALDI-MSI-Based Spatial Proteomics and Machine Learning to Predict Chemoradiotherapy Outcomes in Head and Neck Cancer, International journal of molecular sciences , vol. 26, no. 18, pp. 9084, 2025. MDPI.
File: ijms-26-09084.pdf
Bibtex: BibTeX
@article{grzeski2025integrating,
  title={Integrating MALDI-MSI-Based Spatial Proteomics and Machine Learning to Predict Chemoradiotherapy Outcomes in Head and Neck Cancer},
  author={Grzeski, Marta and Jensen, Patrick Moeller and Hempel, Benjamin-Florian and Thiele, Herbert and Lellmann, Jan and Schallenberg, Simon and Budach, Volker and Keilholz, Ulrich and Tinhofer, Ingeborg and Klein, Oliver},
  journal={International journal of molecular sciences},
  volume={26},
  number={18},
  pages={9084},
  year={2025},
  publisher={MDPI}
}
Florian Mannel, and Hari Om Aggrawal,
A structured L-BFGS method with diagonal scaling and its application to image registration, Journal of Mathematical Imaging and Vision , vol. 67, no. 1, pp. 7, 2025. Springer.
File: s10851-024-01215-9.pdf
Bibtex: BibTeX
@article{mannel2025structured,
  title={A structured L-BFGS method with diagonal scaling and its application to image registration},
  author={Mannel, Florian and Aggrawal, Hari Om},
  journal={Journal of Mathematical Imaging and Vision},
  volume={67},
  number={1},
  pages={7},
  year={2025},
  publisher={Springer}
}
Saskia Neuber,
A Second-Order Divergence-Curl Regularization in Variational Image Registration, 2025.
Bibtex: BibTeX
@article{neuber2025second,
  title={A Second-Order Divergence-Curl Regularization in Variational Image Registration},
  author={Neuber, Saskia},
  year={2025}
}
Johannes Bostelmann, and Jan Lellmann,
LieMorph: Transformer-based Image Registration Using Flows on Lie Groups, 2025.
Bibtex: BibTeX
@article{bostelmann2025liemorph,
  title={LieMorph: Transformer-based Image Registration Using Flows on Lie Groups},
  author={Bostelmann, Johannes and Lellmann, Jan},
  year={2025}
}
John Kipritidis, Alexandra Quinn, Tomasz Morgas, Sven Kuckertz, Nils Papenberg, Stefan Heldmann, Nasim Givehchi, Thomas Coradi, and Jeremy Booth,
Method for end‐user validation of deformable dose accumulation uncertainty modelling tools, Medical Physics , vol. 52, Sep. 2025.
DOI:10.1002/mp.18094
Bibtex: BibTeX
@article{article,
author = {Kipritidis, John and Quinn, Alexandra and Morgas, Tomasz and Kuckertz, Sven and Papenberg, Nils and Heldmann, Stefan and Givehchi, Nasim and Coradi, Thomas and Booth, Jeremy},
year = {2025},
month = {09},
pages = {},
title = {Method for end‐user validation of deformable dose accumulation uncertainty modelling tools},
volume = {52},
journal = {Medical Physics},
doi = {10.1002/mp.18094}
}
Sebastian Bendak, Joachim Georgii, Elham Taghizadeh, Stefan Heldmann, Hans Meine, Thomas Lange, Jonas Buchholtz, Andreas Fuchs, Moritz Mayr, Hagen Schmal, and Kaywan Izadpanah,
In vivo dynamic intrusion and extrusion of the menisci in varus and valgus load within a healthy population, Journal of Experimental Orthopaedics , vol. 12, Aug. 2025.
DOI:10.1002/jeo2.70325
Bibtex: BibTeX
@article{article,
author = {Bendak, Sebastian and Georgii, Joachim and Taghizadeh, Elham and Heldmann, Stefan and Meine, Hans and Lange, Thomas and Buchholtz, Jonas and Fuchs, Andreas and Mayr, Moritz and Schmal, Hagen and Izadpanah, Kaywan},
year = {2025},
month = {08},
pages = {},
title = {In vivo dynamic intrusion and extrusion of the menisci in varus and valgus load within a healthy population},
volume = {12},
journal = {Journal of Experimental Orthopaedics},
doi = {10.1002/jeo2.70325}
}
Kai Geißler, Daniel Mensing, Temke Kohlbrandt, Jochen Hirsch, and Stefan Heldmann,
Predicting anatomical structures from 2D depth images of patients, Apr.2025. pp. 58.
DOI:10.1117/12.3046770
Bibtex: BibTeX
@inproceedings{inproceedings,
author = {Geißler, Kai and Mensing, Daniel and Kohlbrandt, Temke and Hirsch, Jochen and Heldmann, Stefan},
year = {2025},
month = {04},
pages = {58},
title = {Predicting anatomical structures from 2D depth images of patients},
doi = {10.1117/12.3046770}
}
Daniel Mensing, Kai Geißler, Jochen Hirsch, Stefan Heldmann, and Matthias Günther,
MR-to-CT synthesis for cross-modality model adaptation, Apr.2025. pp. 65.
DOI:10.1117/12.3046926
Bibtex: BibTeX
@inproceedings{inproceedings,
author = {Mensing, Daniel and Geißler, Kai and Hirsch, Jochen and Heldmann, Stefan and Günther, Matthias},
year = {2025},
month = {04},
pages = {65},
title = {MR-to-CT synthesis for cross-modality model adaptation},
doi = {10.1117/12.3046926}
}
Florian Weiler, Tom Koller, Laura Krismer, Roland Roelz, Stefan Heldmann, and Jan Klein,
Landmark-based 2D/3D registration of preoperative planning data to intraoperative photographs for mapping of functional areas in awake brain surgery, Apr.2025. pp. 49.
DOI:10.1117/12.3048787
Bibtex: BibTeX
@inproceedings{inproceedings,
author = {Weiler, Florian and Koller, Tom and Krismer, Laura and Roelz, Roland and Heldmann, Stefan and Klein, Jan},
year = {2025},
month = {04},
pages = {49},
title = {Landmark-based 2D/3D registration of preoperative planning data to intraoperative photographs for mapping of functional areas in awake brain surgery},
doi = {10.1117/12.3048787}
}
Maria Jordan, Florian Schmieder, Angelika Stucki-Koch, Christoph Polk, Christina Hansen, Jürgen Philipp, Stephan Behrens, Robert Ramm, Till Nicke, Daniel Budelmann, and Harry Haynes,
Integrating heart-on-chip technology and 3D porcine living myocardial slices for cardiotoxicity screening, in Current Directions in Biomedical Engineering , 2025. pp. 270—273.
Bibtex: BibTeX
@inproceedings{jordan2025integrating,
  title={Integrating heart-on-chip technology and 3D porcine living myocardial slices for cardiotoxicity screening},
  author={Jordan, Maria and Schmieder, Florian and Stucki-Koch, Angelika and Polk, Christoph and Hansen, Christina and Philipp, J{\"u}rgen and Behrens, Stephan and Ramm, Robert and Nicke, Till and Budelmann, Daniel and others},
  booktitle={Current Directions in Biomedical Engineering},
  volume={11},
  number={1},
  pages={270--273},
  year={2025},
  organization={De Gruyter}
}
Till Nicke, Daniela Schacherer, Jan Raphael Schäfer, Natalia Artysh, Antje Prasse, André Homeyer, Andrea Schenk, Henning Höfener, and Johannes Lotz,
Whole Slide Concepts: A Supervised Foundation Model For Pathological Images, arXiv preprint arXiv:2507.05742 , 2025.
Bibtex: BibTeX
@article{nicke2025whole,
  title={Whole Slide Concepts: A Supervised Foundation Model For Pathological Images},
  author={Nicke, Till and Schacherer, Daniela and Sch{\"a}fer, Jan Raphael and Artysh, Natalia and Prasse, Antje and Homeyer, Andr{\'e} and Schenk, Andrea and H{\"o}fener, Henning and Lotz, Johannes},
  journal={arXiv preprint arXiv:2507.05742},
  year={2025}
}
Marco Eichelberg, Timo Wolters, Tingyan Xu, Johannes Lotz, Till Nicke, Jan Raphael Schäfer, Ole Schwen, Felix Thielke, Julia Bein, Felix Chun, and Harry Haynes,
PROSurvival-Überlebensvorhersage für Prostatakrebspatienten mithilfe von föderiertem maschinellem Lernen und prädiktiven morphologischen Mustern, 2025. Hannover: Technische Informationsbibliothek.
Bibtex: BibTeX
@article{eichelberg2025prosurvival,
  title={PROSurvival-{\"U}berlebensvorhersage f{\"u}r Prostatakrebspatienten mithilfe von f{\"o}deriertem maschinellem Lernen und pr{\"a}diktiven morphologischen Mustern},
  author={Eichelberg, Marco and Wolters, Timo and Xu, Tingyan and Lotz, Johannes and Nicke, Till and Sch{\"a}fer, Jan Raphael and Schwen, Ole and Thielke, Felix and Bein, Julia and Chun, Felix and others},
  year={2025},
  publisher={Hannover: Technische Informationsbibliothek}
}
Jan Raphael Schäfer, Till Nicke, Johannes Lotz, Henning Höfener, and Fabian Kiessling,
Labeling system for labeling a medical image, 2025.
Bibtex: BibTeX
@article{schafer2025labeling,
  title={Labeling system for labeling a medical image},
  author={Sch{\"a}fer, Jan Raphael and Nicke, Till and Lotz, Johannes and H{\"o}fener, Henning and Kie{\ss}ling, Fabian},
  year={2025}
}
Mart Rijthoven, Witali Aswolinskiy, Leslie Tessier, Maschenka Balkenhol, Joep MA Bogaerts, Damien Drubay, Laura Comerma Blesa, Dieter Peeters, Elisabeth Specht Stovgaard, Anne-Vibeke Lænkholm, Harry Haynes, Ligia Craciun, Denis Larsimont, Mohamed T. Amgad, Lee AD Çooper, Cyril de Kock, Valerie Dechering, Johannes Lotz, Nick Weiss, and others,
Tumor-infiltrating lymphocytes in breast cancer through artificial intelligence: biomarker analysis from the results of the TIGER challenge, medRxiv , pp. 2025—02, 2025. Cold Spring Harbor Laboratory Press.
Bibtex: BibTeX
@article{van2025tumor,
  title={Tumor-infiltrating lymphocytes in breast cancer through artificial intelligence: biomarker analysis from the results of the TIGER challenge},
  author={van Rijthoven, Mart and Aswolinskiy, Witali and Tessier, Leslie and Balkenhol, Maschenka and Bogaerts, Joep MA and Drubay, Damien and Blesa, Laura Comerma and Peeters, Dieter and Stovgaard, Elisabeth Specht and L{\ae}nkholm, Anne-Vibeke and others},
  journal={medRxiv},
  pages={2025--02},
  year={2025},
  publisher={Cold Spring Harbor Laboratory Press}
}

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}, 
}
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}
}
Danielle Bednarski,
Functional Lifting: Nonlinear Inverse Scale Space Iterations and Neural Fields, Universität zu Lübeck, 2024.
File: Dateilink
Bibtex: BibTeX
@phdthesis{bednarski2024functional,
  title={Functional Lifting: Nonlinear Inverse Scale Space Iterations and Neural Fields},
  author={Bednarski, Danielle},
  year={2024},
  school={Universit{\"a}t zu L{\"u}beck}
}
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}
}
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}
}
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}
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}}
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}}
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}
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}}
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}}
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, 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
@article{modersitzki2024spectral,
  title={The Spectral Decomposition of the Continuous and Discrete Linear Elasticity Operators with Sliding Boundary Conditions},
  author={Modersitzki, Jan},
  journal={SIAM Journal on Matrix Analysis and Applications},
  volume={45},
  number={1},
  pages={134--147},
  year={2024},
  publisher={SIAM}
}
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}
}
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}
}
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:https://doi.org/10.1109/ISBI56570.2024.10635778
Bibtex: BibTeX
@INPROCEEDINGS{10635778,
  author={Huang, Boqiang and Ying, Jiayu and Lyu, Ruizhi and Schaadt, Nadine S. and Klinkhammer, Barbara M. and Boor, Peter and Lotz, Johannes and Feuerhake, Friedrich and Merhof, Dorit},
  booktitle={2024 IEEE International Symposium on Biomedical Imaging (ISBI)}, 
  title={Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation}, 
  year={2024},
  volume={},
  number={},
  pages={1-5},
  keywords={Training;Image segmentation;Veins;Neural networks;Computer architecture;Transformers;Convolutional neural networks;CNN;Transformer;Multi-scale Fusion;Whole-Slide Image;Instance Segmentation},
  doi={10.1109/ISBI56570.2024.10635778}}
Raphael Schaefer, Johannes Lotz, and Fabian Kiessling,
A multi-task learning strategy to pretrain models for medical image analysis, NATURE COMPUTATIONAL SCIENCE , vol. 4, no. 7, pp. 479—480, 2024. SPRINGERNATURE CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND.
Bibtex: BibTeX
@misc{schaefer2024multi,
  title={A multi-task learning strategy to pretrain models for medical image analysis},
  author={Schaefer, Raphael and Lotz, Johannes and Kiessling, Fabian},
  journal={NATURE COMPUTATIONAL SCIENCE},
  volume={4},
  number={7},
  pages={479--480},
  year={2024},
  publisher={SPRINGERNATURE CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND}
}
Tingyan Xu, Timo Wolters, Johannes Lotz, Tom Bisson, Tim-Rasmus Kiehl, Nadine Flinner, Norman Zerbe, and Marco Eichelberg,
PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients, in Collaboration across Disciplines for the Health of People, Animals and Ecosystems , IOS Press, 2024, pp. 220—224.
File: PROSurvival-_A_Technical_Case_Report.pdf
Bibtex: BibTeX
@incollection{xu2024prosurvival,
  title={PROSurvival: A Technical Case Report on Creating and Publishing a Dataset for Federated Learning on Survival Prediction of Prostate Cancer Patients},
  author={Xu, Tingyan and Wolters, Timo and Lotz, Johannes and Bisson, Tom and Kiehl, Tim-Rasmus and Flinner, Nadine and Zerbe, Norman and Eichelberg, Marco},
  booktitle={Collaboration across Disciplines for the Health of People, Animals and Ecosystems},
  pages={220--224},
  year={2024},
  publisher={IOS Press}
}
Jan Modersitzki,
The Spectral Decomposition of the Continuous and Discrete Linear Elasticity Operators with Sliding Boundary Conditions, SIAM Journal on Matrix Analysis and Applications , vol. 45, no. 1, pp. 134—147, 2024. SIAM.
DOI:https://doi.org/10.1137/22M1541320
Bibtex: BibTeX
@article{modersitzki2024spectral,
  title={The Spectral Decomposition of the Continuous and Discrete Linear Elasticity Operators with Sliding Boundary Conditions},
  author={Modersitzki, Jan},
  journal={SIAM Journal on Matrix Analysis and Applications},
  volume={45},
  number={1},
  pages={134--147},
  year={2024},
  publisher={SIAM}
}
F Kock, T Nicke, N Artysh, A Prasse, H Hoefener, and A Schenk,
Automatic precision cut lung slice analysis with few annotations using a two-stage deep learning approach, in VIRCHOWS ARCHIV , 2024. pp. S387—S387.
Bibtex: BibTeX
@inproceedings{kock2024automatic,
  title={Automatic precision cut lung slice analysis with few annotations using a two-stage deep learning approach},
  author={Kock, F and Nicke, T and Artysh, N and Prasse, A and Hoefener, H and Schenk, A},
  booktitle={VIRCHOWS ARCHIV},
  volume={485},
  pages={S387--S387},
  year={2024},
  organization={SPRINGER ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES}
}
Natacha Kuete Meli,
Quantum Algorithms for Binary Problems with Applications to Image Processing, 2024.
File: Dissertation_Natacha_Kuete_Meli.pdf
Bibtex: BibTeX
@article{meli2024quantum,
  title={Quantum Algorithms for Binary Problems with Applications to Image Processing},
  author={Meli, Natacha Kuete},
  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},
}
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}
}
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},
}
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}
}
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.
Bibtex: BibTeX
@article{mannel2024structured,
  title={A structured L-BFGS method and its application to inverse problems},
  author={Mannel, Florian and Om Aggrawal, Hari and Modersitzki, Jan},
  journal={Inverse Problems},
  volume={40},
  number={4},
  pages={045022},
  year={2024},
  publisher={IOP Publishing}
}
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
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
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
Christoph Jansen, Björn Lindequist, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Michael Franz, Lars Ole Schwen, Theodore Evans, André Homeyer, and Norman Zerbe,
The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures, Future Generation Computer Systems , vol. 140, pp. 209--224, Mar. 2023. Elsevier {BV}.
DOI:10.1016/j.future.2022.10.025
File: 10.1016%2Fj.future.2022.10.025
Willem Diepeveen, Jan Lellmann, Ozan Öktem, and Carola-Bibiane Schönlieb,
Regularizing orientation estimation in cryogenic electron microscopy three-dimensional map refinement through measure-based lifting over riemannian manifolds, SIAM Journal on Imaging Sciences , vol. 16, no. 3, pp. 1440—1490, 2023. SIAM.
Bibtex: BibTeX
@article{diepeveen2023regularizing,
  title={Regularizing orientation estimation in cryogenic electron microscopy three-dimensional map refinement through measure-based lifting over riemannian manifolds},
  author={Diepeveen, Willem and Lellmann, Jan and {\"O}ktem, Ozan and Sch{\"o}nlieb, Carola-Bibiane},
  journal={SIAM Journal on Imaging Sciences},
  volume={16},
  number={3},
  pages={1440--1490},
  year={2023},
  publisher={SIAM}
}
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram Ginneken, Adrian V. Dalca, and Mattias P. Heinrich,
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning, IEEE Transactions on Medical Imaging , vol. 42, no. 3, pp. 697-712, 2023.
DOI:10.1109/TMI.2022.3213983
Sina Walluscheck, Luca Canalini, Jan Klein, and Stefan Heldmann,
Unsupervised learning of healthy anatomy for anomaly detection in brain CT scans, in Medical Imaging 2023: Computer-Aided Diagnosis , 2023. pp. 11—14.
Bibtex: BibTeX
@inproceedings{walluscheck2023unsupervised,
  title={Unsupervised learning of healthy anatomy for anomaly detection in brain CT scans},
  author={Walluscheck, Sina and Canalini, Luca and Klein, Jan and Heldmann, Stefan},
  booktitle={Medical Imaging 2023: Computer-Aided Diagnosis},
  volume={12465},
  pages={11--14},
  year={2023},
  organization={SPIE}
}
Sina Walluscheck, Luca Canalini, Hannah Strohm, Susanne Diekmann, Jan Klein, and Stefan Heldmann,
MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs, International journal of computer assisted radiology and surgery , vol. 18, no. 3, pp. 483—491, 2023. Springer.
Bibtex: BibTeX
@article{walluscheck2023mr,
  title={MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs},
  author={Walluscheck, Sina and Canalini, Luca and Strohm, Hannah and Diekmann, Susanne and Klein, Jan and Heldmann, Stefan},
  journal={International journal of computer assisted radiology and surgery},
  volume={18},
  number={3},
  pages={483--491},
  year={2023},
  publisher={Springer}
}
Sven Kuckertz, Stefan Heldmann, and Jan Hendrik Moltz,
Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations, in International Conference on Medical Image Computing and Computer-Assisted Intervention , 2023. pp. 91—99.
Bibtex: BibTeX
@inproceedings{kuckertz2023efficient,
  title={Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations},
  author={Kuckertz, Sven and Heldmann, Stefan and Moltz, Jan Hendrik},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={91--99},
  year={2023},
  organization={Springer}
}
Alena-Kathrin Golla, Cristian Lorenz, Christian Buerger, Tanja Loßau, Tobias Klinder, Sven Mutze, Holger Arndt, Frederik Spohn, Marlene Mittmann, and Leonie Goelz,
Cervical spine fracture detection in computed tomography using convolutional neural networks, Physics in Medicine & Biology , vol. 68, no. 11, pp. 115010, 2023. IOP Publishing.
Bibtex: BibTeX
@article{golla2023cervical,
  title={Cervical spine fracture detection in computed tomography using convolutional neural networks},
  author={Golla, Alena-Kathrin and Lorenz, Cristian and Buerger, Christian and Lossau, Tanja and Klinder, Tobias and Mutze, Sven and Arndt, Holger and Spohn, Frederik and Mittmann, Marlene and Goelz, Leonie},
  journal={Physics in Medicine \& Biology},
  volume={68},
  number={11},
  pages={115010},
  year={2023},
  publisher={IOP Publishing}
}
Johannes Lotz, Nick Weiss, Jeroen Laak, and Stefan Heldmann,
Comparison of consecutive and restained sections for image registration in histopathology, Journal of Medical Imaging , vol. 10, no. 6, pp. 067501—067501, 2023. Society of Photo-Optical Instrumentation Engineers.
Bibtex: BibTeX
@article{lotz2023comparison,
  title={Comparison of consecutive and restained sections for image registration in histopathology},
  author={Lotz, Johannes and Weiss, Nick and van der Laak, Jeroen and Heldmann, Stefan},
  journal={Journal of Medical Imaging},
  volume={10},
  number={6},
  pages={067501--067501},
  year={2023},
  publisher={Society of Photo-Optical Instrumentation Engineers}
}

2022

Malte Maria Sieren, Sonja Jäckle, Tim Eixmann, Hinnerk Schulz-Hildebrandt, Florian Matysiak, Mark Preuss, Verónica García-Vázquez, Erik Stahlberg, Markus Kleemann, Jörg Barkhausen, and Tanja Loßau,
Radiation-free Thoracic Endovascular Aneurysm Repair with Fiberoptic and Electromagnetic Guidance: A Phantom Study, Journal of Vascular and Interventional Radiology , 2022. Elsevier.
Bibtex: BibTeX
@article{sieren2022radiation,
  title={Radiation-free thoracic endovascular aneurysm repair with fiberoptic and electromagnetic guidance: a phantom study},
  author={Sieren, Malte Maria and J{\"a}ckle, Sonja and Eixmann, Tim and Schulz-Hildebrandt, Hinnerk and Matysiak, Florian and Preuss, Mark and Garc{\'\i}a-V{\'a}zquez, Ver{\'o}nica and Stahlberg, Erik and Kleemann, Markus and Barkhausen, J{\"o}rg and others},
  journal={Journal of Vascular and Interventional Radiology},
  volume={33},
  number={4},
  pages={384--391},
  year={2022},
  publisher={Elsevier}
}
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}
}
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}
}
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}
}
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, Mar. 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}
}
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}
}
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}
}
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 Tanja Loßau,
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}
}
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}
}
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,
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},
}
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},
}
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}
}
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}
}
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},
}
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, Jul.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}
}
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]}
}
Till Nicke, Laura Graf, Mikko Lauri, Sven Mischkewitz, Simone Frintrop, and Mattias P Heinrich,
Realtime optical flow estimation on vein and artery ultrasound sequences based on knowledge-distillation, in International Workshop on Biomedical Image Registration , Jul.2022. pp. 134—143.
DOI:https://doi.org/10.1007/978-3-031-11203-4_15
Bibtex: BibTeX
@inproceedings{nicke2022realtime,
  title={Realtime optical flow estimation on vein and artery ultrasound sequences based on knowledge-distillation},
  author={Nicke, Till and Graf, Laura and Lauri, Mikko and Mischkewitz, Sven and Frintrop, Simone and Heinrich, Mattias P},
  booktitle={International Workshop on Biomedical Image Registration},
  pages={134--143},
  year={2022},
  organization={Springer}
}
Alessa Hering, Lasse Hansen, Tony CW Mok, Albert CS Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, and Tanja Loßau,
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning, IEEE Transactions on Medical Imaging , vol. 42, no. 3, pp. 697—712, 2022. IEEE.
Bibtex: BibTeX
@article{hering2022learn2reg,
  title={Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning},
  author={Hering, Alessa and Hansen, Lasse and Mok, Tony CW and Chung, Albert CS and Siebert, Hanna and H{\"a}ger, Stephanie and Lange, Annkristin and Kuckertz, Sven and Heldmann, Stefan and Shao, Wei and others},
  journal={IEEE Transactions on Medical Imaging},
  volume={42},
  number={3},
  pages={697--712},
  year={2022},
  publisher={IEEE}
}
Marcus Barann, Stefan Heldmann, Jan Klein, and Stefan Krass,
A Python SDK for Authoring and using Computer-interpretable Guidelines., in BIOINFORMATICS , 2022. pp. 99—106.
Bibtex: BibTeX
@inproceedings{barann2022python,
  title={A Python SDK for Authoring and using Computer-interpretable Guidelines.},
  author={Barann, Marcus and Heldmann, Stefan and Klein, Jan and Kra{\ss}, Stefan},
  booktitle={BIOINFORMATICS},
  pages={99--106},
  year={2022}
}
Andreas Fuchs, Joachim Georgii, Elham Taghizadeh, Stefan Heldmann, Thomas Lange, Sebastian F Bendak, Markus Siegel, Tayfun Yilmaz, Hagen Schmal, and Kaywan Izadpanah,
In-vivo assessment of meniscal movement in the knee joint during internal and external rotation under load, Journal of experimental orthopaedics , vol. 9, no. 1, pp. 102, 2022. Springer.
Bibtex: BibTeX
@article{fuchs2022vivo,
  title={In-vivo assessment of meniscal movement in the knee joint during internal and external rotation under load},
  author={Fuchs, Andreas and Georgii, Joachim and Taghizadeh, Elham and Heldmann, Stefan and Lange, Thomas and Bendak, Sebastian F and Siegel, Markus and Yilmaz, Tayfun and Schmal, Hagen and Izadpanah, Kaywan},
  journal={Journal of experimental orthopaedics},
  volume={9},
  number={1},
  pages={102},
  year={2022},
  publisher={Springer}
}
Sven Kuckertz, Jan Klein, Christiane Engel, Benjamin Geisler, Stefan Krass, and Stefan Heldmann,
Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity, in Medical Imaging 2022: Computer-Aided Diagnosis , 2022. pp. 469—473.
Bibtex: BibTeX
@inproceedings{kuckertz2022fully,
  title={Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity},
  author={Kuckertz, Sven and Klein, Jan and Engel, Christiane and Geisler, Benjamin and Kra{\ss}, Stefan and Heldmann, Stefan},
  booktitle={Medical Imaging 2022: Computer-Aided Diagnosis},
  volume={12033},
  pages={469--473},
  year={2022},
  organization={SPIE}
}
Claudia E Weber, Julia Krämer, Matthias Wittayer, Johannes Gregori, Sigurd Randoll, Florian Weiler, Stefan Heldmann, Christina Roßmanith, Michael Platten, Achim Gass, and Tanja Loßau,
Association of iron rim lesions with brain and cervical cord volume in relapsing multiple sclerosis, European radiology , vol. 32, no. 3, pp. 2012—2022, 2022. Springer.
Bibtex: BibTeX
@article{weber2022association,
  title={Association of iron rim lesions with brain and cervical cord volume in relapsing multiple sclerosis},
  author={Weber, Claudia E and Kr{\"a}mer, Julia and Wittayer, Matthias and Gregori, Johannes and Randoll, Sigurd and Weiler, Florian and Heldmann, Stefan and Ro{\ss}manith, Christina and Platten, Michael and Gass, Achim and others},
  journal={European radiology},
  volume={32},
  number={3},
  pages={2012--2022},
  year={2022},
  publisher={Springer}
}
Malte Maria Sieren, Cornelia Widmann, Nick Weiss, Jan Hendrik Moltz, Florian Link, Franz Wegner, Erik Stahlberg, Marco Horn, Thekla Helene Oecherting, Jan Peter Goltz, and Harry Haynes,
Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach, European radiology , vol. 32, no. 1, pp. 690—701, 2022. Springer.
Bibtex: BibTeX
@article{sieren2022automated,
  title={Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach},
  author={Sieren, Malte Maria and Widmann, Cornelia and Weiss, Nick and Moltz, Jan Hendrik and Link, Florian and Wegner, Franz and Stahlberg, Erik and Horn, Marco and Oecherting, Thekla Helene and Goltz, Jan Peter and others},
  journal={European radiology},
  volume={32},
  number={1},
  pages={690--701},
  year={2022},
  publisher={Springer}
}
Daniel Romberg, Klaus Strohmenger, Christoph Jansen, Tobias Küster, Nick Weiss, Christian Geißler, Tomasz Sołtysiński, Michael Takla, Peter Hufnagl, Norman Zerbe, and Harry Haynes,
EMPAIA app interface: an open and vendor-neutral interface for AI applications in pathology, Computer methods and programs in biomedicine , vol. 215, pp. 106596, 2022. Elsevier.
Bibtex: BibTeX
@article{romberg2022empaia,
  title={EMPAIA app interface: an open and vendor-neutral interface for AI applications in pathology},
  author={Romberg, Daniel and Strohmenger, Klaus and Jansen, Christoph and K{\"u}ster, Tobias and Weiss, Nick and Gei{\ss}ler, Christian and So{\l}tysi{\'n}ski, Tomasz and Takla, Michael and Hufnagl, Peter and Zerbe, Norman and others},
  journal={Computer methods and programs in biomedicine},
  volume={215},
  pages={106596},
  year={2022},
  publisher={Elsevier}
}

2021

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},
}
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}
}