Almeida, Silvia D., Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus P. Heussel, Jürgen Biederer, Oliver Weinheimer, and Klaus H. Maier-Hein. “COOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations.” In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, edited by Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, and Russell Taylor, 14224:33–43. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-43904-9_4.

Bach, Michael, Klaus H. Maier-Hein*, S. Minjoli, Bram Stieltjes, and Frederik B. Laun. “A High Resolution Tractography Phantom.” In In Proceedings of Annual Meeting ISMRM. Melbourne, Australia, 2012.

Bach, Michael, B. Stieltjes, Klaus H. Maier-Hein*, Wolfhard Semmler, and Frederik B. Laun. “A Diffusion Tensor Resolution Phantom.” In In Proceedings of Annual Meeting ISMRM. Montreal, Canada, 2011.

Bach, Michael, Bram Stieltjes, Frederik B Laun, Alexander Leemans, and Klaus H Maier-Hein*. “Voxel Misassignments and Their Consequences in DTI Skeleton-Based Group Analyses.” In In Proceedings of Annual Meeting ISMRM. Salt Lake City, 2013.

Baumgartner, Michael, Paul F. Jäger, Fabian Isensee, and Klaus H. Maier-Hein. “NnDetection: A Self-Configuring Method for Medical Object Detection.” In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, edited by Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, and Caroline Essert, 530–39. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-87240-3_51.

Baumhauer, Matthias, Jochen Neuhaus, Klaus Maier-Hein*, and Hans-Peter Meinzer. “The MITK Image Guided Therapy Toolkit and Its Application for Augmented Reality in Laparoscopic Prostate Surgery.” In SPIE Medical Imaging, 76251G-76251G. International Society for Optics and Photonics, 2010.

Bohn, Jonas R., Christian M. Heidt, Silvia D. Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, et al. “RPTK: The Role of Feature Computation on Prediction Performance.” In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, edited by Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, et al., 113–22. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-47425-5_11.

Bruggen, Thomas van, Hui Zhang, Ofer Pasternak, Hans-Peter Meinzer, Bram Stieltjes, and Klaus H. Maier-Hein*. “Free-Water Elimination for Assessing Microstructural Gray Matter Pathology-with Application to Alzheimer’s Disease.” In In Proceedings of Annual Meeting ISMRM. Salt Lake City, 2013.

Cisternas, Jaime, P. Daza, T. Asahi, T. Dyrby, and Klaus H. Maier-Hein*. “Regularized Q-Ball Reconstruction: Robust Estimation, Model Selection, and Spatial Denoising.” In In Proceedings of Annual Meeting ISMRM. Honolulu, USA, 2009.

Cordes, Jonas, Peter F. Neher, Hans-Peter Meinzer, Bram Stieltjes, and Klaus H. Maier-Hein. “What Do We Gain from Multiple Q-Shell Acquistions in High Angular Resolution Diffusion Imaging?” In In Proceedings of Annual Meeting ISMRM. Milano, 2014.

Daenzer, Stefan, and Klaus Maier-Hein*. “A Simulator for Surgery Training: Optimal Sensory Stimuli in a Bone Pinning Simulation.” In SPIE Medical Imaging, 69181O-69181O. International Society for Optics and Photonics, 2008.

Descoteaux, M., J Sidhu, Garyfallidis, E., Houde, J. C., Neher, P. F., Stieltjes, B., and Maier-Hein, K. H. “False Positive Bundles in Tractography.” In In Proceedings of Annual Meeting ISMRM. Singapore, 2016.

Fetzer, Andreas, Jasmin Metzger, Darko Katic, Keno März, Martin Wagner, Patrick Philipp, Sandy Engelhardt, et al. “Towards an Open-Source Semantic Data Infrastructure for Integrating Clinical and Scientific Data in Cognition-Guided Surgery.” In SPIE Medical Imaging, 97890O-97890O, 2016.

Fischer, Maximilian, Peter Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, et al. “Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-Trained Models.” In Medical Optical Imaging and Virtual Microscopy Image Analysis, edited by Yuankai Huo, Bryan A. Millis, Yuyin Zhou, Xiangxue Wang, Adam P. Harrison, and Ziyue Xu, 73–83. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2022. https://doi.org/10.1007/978-3-031-16961-8_8.

Fischer, Maximilian, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter Schüffler, et al. “DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform.” In Bildverarbeitung für die Medizin 2022, edited by Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, and Thomas Tolxdorff, 273–78. Informatik aktuell. Wiesbaden: Springer Fachmedien, 2022. https://doi.org/10.1007/978-3-658-36932-3_58.

Freitag, Martin, Weber, Christian, Maier-Hein, Klaus H., Tarnawski, R., Bobek-Billewicz, B., Binczyck, F., Polanska, J., and Stieltjes, Bram. “Multiparametrical Diffusion Weighted Imaging for the Detection of Anaplastic Transformation of Low-Grade Gliomas.” In In Proceedings of European Congress Radiology, C–2130, 2014. http://dx.doi.org/10.1594/ecr2014/C-2130.

Freitag, MT, C Weber, K Maier-Hein, R Tarnawski, B Bobek-Billewicz, F Binczyck, J Polanska, and B Stieltjes. “Multiparametrical Diffusion Weighted Imaging for the Detection of Anaplastic Transformation of Low-Grade Gliomas.” In Cancer Imaging, 14:S11, 2014.

Gemmeke, Philipp, Maria Maleshkova, Patrick Philipp, Michael Götz, Christian Weber, Benedikt Kämpgen, Marco Nolden, Klaus Maier-Hein, and Achim Rettinger. “Using Linked Data and Web APIs for Automating the Pre-Processing of Medical Images.” In Fifth International Workshop on Consuming Linked Data (COLD2014). Riva del Garda, Italy, 2014.

Giannakis, Athanasios, Tobias Norajitra, Lars Kehler, Dinkel Julien, Oliver Weinheimer, Csilla Van Lunteren, Michael Kreuter, Klaus Maier-Hein, and Claus-Peter Heußel. “Fully Automated Segmentation of Pulmonary Fibrosis Using Different Software Tools.,” 368. European Society of Radiology, 2018.

Goch, Caspar J., Jasmin Metzger, Martin Hettich, André Klein, Tobias Norajitra, Michael Götz, Jens Petersen, Klaus H. Maier-Hein, and Marco Nolden. “Automated Containerized Medical Image Processing Based on MITK and Python.” In Bildverarbeitung für die Medizin 2018, edited by Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm, and Thomas Tolxdorff, 315–315. Informatik aktuell. Springer Berlin Heidelberg, 2018.

Goch, Caspar J, Basak Oztan, Bram Stieltjes, Romy Henze, Jan Hering, Luise Poustka, Hans-Peter Meinzer, Bülent Yener, and Klaus H Maier-Hein. “Global Changes in the Connectome in Autism Spectrum Disorders.” In Computational Diffusion MRI and Brain Connectivity, 239–47. Springer, 2014.

Goch, Caspar J., Bram Stieltjes, Romy Henze, Jan Hering, Hans-Peter Meinzer, and Klaus H. Maier-Hein*. “Quantification of Changes in Language-Related Brain Areas in Autism Spectrum Disorders Using Large-Scale Network Analysis.” In Bildverarbeitung für die Medizin 2013, edited by Hans-Peter Meinzer, Thomas Martin Deserno, Heinz Handels, and Thomas Tolxdorff, 51–56. Informatik aktuell. Springer Berlin Heidelberg, 2013. http://link.springer.com/chapter/10.1007/978-3-642-36480-8_11.

Goch, Caspar J, Bram Stieltjes, Romy Henze, Jan Hering, Hans-Peter Meinzer, and Klaus H Maier-Hein*. “Reduced Centrality of Wernicke’s Area in Autism.” In SPIE Medical Imaging, 867223–867223. USA: International Society for Optics and Photonics, 2013.

Goetz, M., E. Heim, K. Maerz, T. Norajitra, M. Hafezi, N. Fard, A. Mehrabi, et al. “A Learning-Based, Fully Automatic Liver Tumor Segmentation Pipeline Based on Sparsely Annotated Training Data.” In SPIE Medical Imaging, 2016.

Goetz, Michael, Stephan Skornitzke, Christian Weber, Franziska Fritz, Phillip Mayer, M. Koell, Wolfram Stiller, and Klaus H. Maier-Hein. “Machine-Learning Based Comparison of CT-Perfusion Maps and Dual Energy CT for Pancreatic Tumor Detection.” In SPIE Medical Imaging. International Society for Optics and Photonics, 2016.

Götz, Michael, Christoph Kolb, Christian Weber, Sebastian Regnery, and Klaus H. Maier-Hein. “Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern.” In Bildverarbeitung für die Medizin 2016, edited by Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, and Hans-Peter Meinzer, 62–67. Informatik aktuell. Springer Berlin Heidelberg, 2016. http://link.springer.com/chapter/10.1007/978-3-662-49465-3_13.

Götz, Michael, Weber, Christian, F. Binczyck, J. Polanska, R. Tarnawski, B. Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, and Maier-Hein, Klaus H. “Lerntransfer von Spärlich Annotierten Daten Zur Multispektralen Gewebecharakterisierung.” In Bildverarbeitung Für Die Medizin 2015. Informatik Aktuell. Springer Berlin Heidelberg, 2015.

Götz, Michael, Christian Weber, Josiah Blöcher, Bram Stieltjes, Hans-Peter Meinzer, and Klaus H. Maier-Hein. “Extremely Randomized Trees Based Brain Tumor Segmentation.” In In Proceedings of MICCAI 2014 Brain Tumor Segmentation Challenge. Boston, USA, 2014.

Götz, Michael, Christian Weber, and Klaus Maier-Hein. “Similarity Based Fusion of Multiple Regions of Interests for MR Sequence Evaluation.” In In Proceedings of Annual Meeting ISMRM. Singapore, 2016.

Götz, Michael, Weber, Christian, Stieltjes, Bram, and Klaus H. Maier-Hein. “Learning from Small Amounts of Labeled Data in a Brain Tumor Classification Task.” In Second Workshop on Transfer and Multi-Task Learning: Theory Meets Practice. Neural Information Processing Systems (NIPS). Montreal, Canada, 2014.

Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, and Klaus H. Maier-Hein. “Reg R-CNN: Lesion Detection and Grading Under Noisy Labels.” In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 33–41. Springer, 2019.

He, Yang, Hui-Po Wang, Maximilian Zenk, and Mario Fritz. “CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization.” arXiv, May 1, 2022. https://doi.org/10.48550/arXiv.2012.08241.

Hering, Jan, Peter F. Neher, Hans-Peter Meinzer, and Klaus H. Maier-Hein. “Construction of Ground-Truth Data for Head Motion Correction in Diffusion MRI.” In In Proceedings of Annual Meeting ISMRM. Milano, 2014.

———. “Erzeugung von Referenzdaten für Kopfbewegungskorrektur in Diffusion-MRI.” In Bildverarbeitung für die Medizin 2014, edited by Thomas Martin Deserno, Heinz Handels, Hans-Peter Meinzer, and Thomas Tolxdorff, 342–47. Informatik aktuell. Springer Berlin Heidelberg, 2014. http://link.springer.com/chapter/10.1007/978-3-642-54111-7_63.

Hering, Jan, Peter F. Neher, Bram Stieltjes, and Klaus H. Maier-Hein. “DTI Tractography Challenge 2014 - MITK Global Tractography.” In In Proceedings of 2014 MICCAI Tractography Challenge. Boston, USA, 2014.

Hering, Jan, Ivo Wolf, Tawfik Moher Alsady, Hans-Peter Meinzer, and Klaus Maier-Hein. “A Memetic Search Scheme for Robust Registration of Diffusion-Weighted MR Images.” In Bildverarbeitung Für Die Medizin 2015, edited by Heinz Handels, Thomas Martin Deserno, Hans-Peter Meinzer, and Thomas Tolxdorff, 113–18. Informatik Aktuell. Springer Berlin Heidelberg, 2015. http://link.springer.com/chapter/10.1007/978-3-662-46224-9_21.

Hering, Jan, Ivo Wolf, Hans-Peter Meinzer, and Klaus H Maier-Hein. “Model-Based Motion Correction of Reduced Field of View Diffusion MRI Data.” In SPIE Medical Imaging, 90381L-90381L. International Society for Optics and Photonics, 2014.

Hering, Jan, Ivo Wolf, Hans-Peter Meinzer, Bram Stieltjes, and Klaus H Maier-Hein. “A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging.” In Computational Diffusion MRI and Brain Connectivity, 35–44. Springer, 2014.

Hirjak, D, B Stieltjes, KH Maier-Hein*, T Wüstenberg, U Seidl, M Essig, J Schröder, and PA Thomann. “FC07-03-Neurological Soft Signs and Morphological Changes of Basal Ganglia and Thalamus in Patients with First-Episode Psychosis.” In European Psychiatry, 26:1848, 2011.

Isensee, Fabian, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, and Klaus H. Maier-Hein. “Automatic Cardiac Disease Assessment on Cine-MRI via Time-Series Segmentation and Domain Specific Features.” In Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, edited by Mihaela Pop, Maxime Sermesant, Pierre-Marc Jodoin, Alain Lalande, Xiahai Zhuang, Guang Yang, Alistair Young, and Olivier Bernard, 120–29. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2018. https://doi.org/10.1007/978-3-319-75541-0_13.

Isensee, Fabian, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, and Klaus Maier-Hein. “Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge.” BrainLes@MICCAI, 2017. https://doi.org/10.1007/978-3-319-75238-9_25.

———. “No New-Net.” BrainLes@MICCAI, 2018. https://doi.org/10.1007/978-3-030-11726-9_21.

Jaeger, Paul F., Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, and Klaus Maier-Hein. “Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection.” ML4H at NeurIPS 2019, 2019. https://ml4health.github.io/2019/pdf/232_ml4h_preprint.pdf.

Jäger, Paul F., Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, et al. “Revealing Hidden Potentials of the Q-Space Signal in Breast Cancer.” In Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, 664–71. Lecture Notes in Computer Science. Springer, Cham, 2017. https://link.springer.com/chapter/10.1007/978-3-319-66182-7_76.

Jäger, Paul, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, and Klaus Hermann Maier-Hein. “Advanced Deep Learning Methods.” In Bildverarbeitung für die Medizin 2018, edited by Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm, and Thomas Tolxdorff, 6–6. Informatik aktuell. Springer Berlin Heidelberg, 2018.

Kades, Klaus, Jonas Scherer, Jan Scholtyssek, Tobias Penzkofer, Marco Nolden, and Klaus Maier-Hein. “Efficient DICOM Image Tagging and Cohort Curation Within Kaapana.” In Bildverarbeitung für die Medizin 2022, edited by Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, and Thomas Tolxdorff, 279–84. Informatik aktuell. Wiesbaden: Springer Fachmedien, 2022. https://doi.org/10.1007/978-3-658-36932-3_59.

Kades, Klaus, Jonas Scherer, Maximilian Zenk, Marius Kempf, and Klaus Maier-Hein. “Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana.” In Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, edited by Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett Landman, Xiaoxiao Li, et al., 130–40. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2022. https://doi.org/10.1007/978-3-031-18523-6_13.

Kamphenkel, Jennifer, Paul F. Jäger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, et al. “Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images.” In Image Analysis for Moving Organ, Breast, and Thoracic Images, edited by Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne Martel, Lena Maier-Hein, et al., 73–80. Lecture Notes in Computer Science. Springer International Publishing, 2018.

Kausch, Lisa, Moritz Scherer, Sarina Thomas, André Klein, Fabian Isensee, and Klaus Maier-Hein. “Automatic Image-Based Pedicle Screw Planning,” 11598:115981I, 2021. https://doi.org/10.1117/12.2582571.

Kausch, Lisa, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, et al. “C-Arm Positioning for Spinal Standard Projections in Different Intra-Operative Settings.” In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, edited by Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, and Caroline Essert, 352–62. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-87202-1_34.

Kickingereder, Philipp, Michael Götz, John Muschelli, Antje Wick, Ulf Neuberger, Russell Shinohara, Alexander Radbruch, et al. “Large-Scale Radiomic Profiling of Glioblastoma Identifies an Imaging Signature for Predicting and Stratifying Antiangiogenic Treatment Response.” In In Proceedings of Annual Meeting ISMRM. Singapore, 2016.

Klein, André, Jan Warszawski, Jens Hillengaß, and Klaus H. Maier-Hein. “Towards Whole-Body CT Bone Segmentation.” In Bildverarbeitung Für Die Medizin 2018, 204–9. Springer Vieweg, Berlin, Heidelberg, 2018.

Kohl, Simon A A, Bernardino Romera-Paredes, Klaus H Maier-Hein, Danilo Jimenez Rezende, S M Ali Eslami, Pushmeet Kohli, Andrew Zisserman, and Olaf Ronneberger. “A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities.” Medical Imaging Meets Neurips, 2019, 6. https://profs.etsmtl.ca/hlombaert/public/medneurips2019/65_CameraReadySubmission_Med_NeurIPS_Workshop.pdf.

Kohl, Simon A. A., Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, and Olaf Ronneberger. “A Probabilistic U-Net for Segmentation of Ambiguous Images.” NIPS 2018, 2018. http://arxiv.org/abs/1806.05034.

Kohl, Simon, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, and Klaus H. Maier-Hein. “Adversarial Networks for Prostate Cancer Detection.” In NIPS Machine Learning for Health Workshop, 2017.

Kolb, Christoph, Dinkel, Julien, Grzegorz Bauman, Andreas Wetscherek, Jürgen Biederer, and Klaus H. Maier-Hein. “Regional Quantitative Analysis of Ventilation and Elasticity in the Lung Parenchyma Using  Temporally Resolved MRI Images.” In Annual Scientific Meeting of the European Society of Thoracic Imaging. Amsterdam, The Netherlands, 2014.

Kreuter, Michael, Lars Kehler, Tobias Norajitra, Athanasios Giannakis, Manuel Wiesenfarth, Roman Rubtsov, Claudia Bauer, Klaus Maier-Hein, and Claus-Peter Heußel. “Correlation of Functional Assessment and CT Scores in Acute Exacerbations in Patients with Idiopathic Pulmonary Fibrosis Using the Automated LUng FIbrosis Quantification Tool (LUFIT).” In ILD Scientific Abstracts: Treatment Acute Exacerbation, A1659. American Thoracic Society, 2018.

Liang, Siting, Klaus Kades, Matthias Fink, Peter Full, Tim Weber, Jens Kleesiek, Michael Strube, and Klaus Maier-Hein. “Fine-Tuning BERT Models for Summarizing German Radiology Findings.” In Proceedings of the 4th Clinical Natural Language Processing Workshop, 30–40. Seattle, WA: Association for Computational Linguistics, 2022. https://aclanthology.org/2022.clinicalnlp-1.4.

Maier-Hein*, Klaus H, Romuald Brunner, Romy Henze, Hans-Peter Meinzer, and Bram Stieltjes. “Exploration of Microstructural Abnormalities in Borderline Personality Disorder.” In SPIE Medical Imaging, 831709–831709. International Society for Optics and Photonics, 2012.

Maier-Hein*, Klaus H, Frederik L Giesel, Tobias Heimann, Philipp A Thomann, Horst K Hahn, Johannes Pantel, Johannes Schröder, Marco Essig, and Hans-Peter Meinzer. “Neurodegenerative Changes in Alzheimer’s Disease: A Comparative Study of Manual, Semi-Automated, and Fully Automated Assessment Using MRI.” In SPIE Medical Imaging, 69151V-69151V. International Society for Optics and Photonics, 2008.

Maier-Hein*, Klaus H., Frederik L. Giesel, Philipp A. Thomann, Horst K. Hahn, Marco Essig, and Hans-Peter Meinzer. “Quantifizierung neurodegenerativer Veränderungen bei der Alzheimer Krankheit.” In Bildverarbeitung für die Medizin 2008, edited by Thomas Tolxdorff, Jürgen Braun, Thomas M. Deserno, Alexander Horsch, Heinz Handels, and Hans-Peter Meinzer, 363–67. Informatik aktuell. Springer Berlin Heidelberg, 2008. http://link.springer.com/chapter/10.1007/978-3-540-78640-5_73.

Maier-Hein*, Klaus H, Caspar J. Goch, Hans-Peter Meinzer, and Bram Stieltjes. “Betweenness Centrality – Integrating Network Architecture Beyond the Immediate Neighborhood.” In ISMRM Scientific Workshop - Diffusion as a Probe of Neural Tissue Microstructure. Podstrana, Croatia, 2013.

Maier-Hein*, Klaus H, Frederik B Laun, Bram Stieltjes, and Hans-Peter Meinzer. “Directional Assessment of Fiber Integrity in Q-Ball Imaging.” In SPIE Medical Imaging, 76231G-76231G. International Society for Optics and Photonics, 2010.

Maier-Hein*, Klaus H., and Hans-Peter Meinzer. “MITK-DI - A New Diffusion Imaging Component for MITK.” In Bildverarbeitung Für Die Medizin 2010, 246–50. Springer Berlin Heidelberg, 2010.

Maier-Hein*, Klaus H., Marco Nolden, Hans-Peter Meinzer, and Bram Stieltjes. “Diffusion Imaging in the Medical Imaging Interaction Toolkit (MITK).” In In Proceedings of Annual Meeting ISMRM. Montreal, Canada, 2011.

Maier-Hein, Klaus H., Sarah Schlindwein, Bram Stieltjes, Marco Essig, and Hans-Peter Meinzer. “Vorhersage Des Krankheitsverlaufes Bei Leichter Kognitiver Beeinträchtigung Durch Automatisierte MRT Morphometrie.” In Bildverarbeitung Für Die Medizin 2009, 217–21. Springer Berlin Heidelberg, 2009.

Maier-Hein*, Klaus H, Sarah Schlindwein, Bram Stieltjes, Marco Essig, and Hans-Peter Meinzer. “Vorhersage Des Krankheitsverlaufes von Leichten Kognitiven Beeinträchtigungen Durch Automatisierte MRT Morphometrie.” In Bildverarbeitung Für Die Medizin 2009, 217–21. Springer Berlin Heidelberg, 2009.

Maier-Hein*, Klaus H., Bram Stieltjes, Frederik B. Laun, and Hans-Peter Meinzer. “On the Behavior of DTI and Q-Ball Derived Anisotropy Indices.” In In Proceedings of Annual Meeting ISMRM. Stockholm, Sweden, 2010.

———. “Towards Reliable Quantification of Fiber Integrity in Q-Ball Imaging.” In In Proceedings MICCAI Workshop DMFC, 2009.

Maier-Hein*, Klaus H., Bram Stieltjes, Thomas Van Bruggen, Hans-Peter Meinzer, Carl-Fredric Westin, and Ofer Pasternak. “A Combined Approach for the Elimination of Partial Volume Effects in Diffusion MRI.” In In Proceedings of Annual Meeting ISMRM. Melbourne, Australia, 2012.

Maier-Hein*, Klaus H., Carl-Fredrik Westin, Hans-Peter Meinzer, Bram Stieltjes, and Ofer Pasternak. “Free-Water Correction Reveals Wide Spread Differences between Stable and Converting MCI Subjects.” In In Proceedings of Annual Meeting ISMRM. Salt Lake City, 2013.

Maier-Hein*, Klaus, Aldo von Wangenheim, Rüdiger Dillmann, and Roland Unterhinninghofen. “Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer&# 146; s Disease.” In Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium On, 191–96. IEEE, 2006.

Maier-Hein, Lena, Tobias Ross, Janek Gröhl, Ben Glocker, Sebastian Bodenstedt, Christian Stock, Eric Heim, et al. “Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence.” In Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016. Lecture Notes in Computer Science. Springer International Publishing, 2016.

Moussavi-Biugui, Amir, Bram Stieltjes, Klaus H. Maier-Hein*, and Frederik B. Laun. “Novel Spherical Phantoms for Q-Ball Imaging under in-Vivo Conditions.” In In Proceedings of Annual Meeting ISMRM. Stockholm, Sweden, 2010.

Neher, Peter F., Götz, Michael, Tobias Norajitra, Weber, Christian, and Klaus H Maier-Hein*. “A Machine Learning Based Approach to Fiber Tractography.” In In Proceedings of Annual Meeting ISMRM. Toronto, 2015.

Neher, Peter F., Michael Götz, Tobias Norajitra, Christian Weber, and Klaus H. Maier-Hein. “A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting.” In Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015, edited by Nassir Navab, Joachim Hornegger, William M. Wells, and Alejandro F. Frangi, 45–52. Lecture Notes in Computer Science 9349. Springer International Publishing, 2015. http://link.springer.com/chapter/10.1007/978-3-319-24553-9_6.

Neher, Peter F, Frederik B Laun, Bram Stieltjes, and Klaus H Maier-Hein. “Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms.” In Computational Diffusion MRI and Brain Connectivity, 105–13. Springer, 2014.

Neher, Peter F., and Klaus H. Maier-Hein. “Providing Realistic Ground Truth and AI-Ready Data for Fiber Tractography:  The 99 Simulated Brains Dataset.” In In Proceedings of Annual Meeting ISMRM, 2021.

Neher, Peter F., Bram Stieltjes, Frederik B. Laun, Hans-Peter Meinzer, and Klaus H. Maier-Hein*. “Fiberfox: A Novel Tool to Generate Software Phantoms of Complex Fiber Geometries.” In In Proceedings of Annual Meeting ISMRM. Salt Lake City, 2013.

Neher, Peter F., Bram Stieltjes, and Klaus H. Maier-Hein. “Abstract: Anchor-Constrained Plausibility.” In Bildverarbeitung für die Medizin 2019, edited by Heinz Handels, Thomas M. Deserno, Andreas Maier, Klaus Hermann Maier-Hein, Christoph Palm, and Thomas Tolxdorff, 1–1. Informatik aktuell. Springer Fachmedien Wiesbaden, 2019.

———. “Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives.” In Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, edited by Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, and Gabor Fichtinger, 20–27. Lecture Notes in Computer Science. Springer International Publishing, 2018.

Neher, Peter F, Bram Stieltjes, Marco Reisert, Hans-Peter Meinzer, and Klaus H Maier-Hein*. “DTI Tractography Challenge 2012 - MITK Global Tractography.” In In Proceedings of 2012 MICCAI Tractography Challenge., 2012.

Neher, Peter F, Bram Stieltjes, Marco Reisert, Hans-Peter Meinzer, and Klaus H. Maier-Hein. “DTI Tractography Challenge 2013 - MITK Global Tractography.” In In Proceedings of 2013 MICCAI Tractography Challenge. Nagoya, Japan, 2013.

Neher, Peter F., Bram Stieltjes, Marco Reisert, Hans-Peter Meinzer, and Klaus H. Maier-Hein*. “MITK Global Tractography - Application to the Corticospinal Tract.” In In Proceedings of 2011 MICCAI Tractography Challenge., 2011.

Neher, Peter F, Bram Stieltjes, Marco Reisert, Ignaz Reicht, Hans-Peter Meinzer, and Klaus H Maier-Hein*. “Integration Eines Globalen Traktographieverfahrens in Das Medical Imaging Interaction Toolkit.” In Bildverarbeitung Für Die Medizin 2012, 177–82. Springer Berlin Heidelberg, 2012.

———. “MITK Global Tractography.” In SPIE Medical Imaging, 83144D-83144D. International Society for Optics and Photonics, 2012.

Neher, Peter F., Bram Stieltjes, Ivo Wolf, Hans-Peter Meinzer, and Klaus H. Maier-Hein. “Analysis of Tractography Biases Introduced by Anisotropic Voxels.” In In Proceedings of Annual Meeting ISMRM. Salt Lake City, 2013.

———. “Assessment of Local Fiber Plausibility Using a HARDI Based Reference.” In In Proceedings of Annual Meeting ISMRM. Salt Lake City, 2013.

Norajitra, Tobias, Sandy Engelhardt, Thomas Held, Sameer Al-Maisary, Raffaele de Simone, Hans-Peter Meinzer, and Klaus Maier-Hein. “Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung.” In Bildverarbeitung für die Medizin 2016, edited by Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, and Hans-Peter Meinzer, 56–61. Informatik aktuell. Springer Berlin Heidelberg, 2016. http://link.springer.com/chapter/10.1007/978-3-662-49465-3_12.

Norajitra, Tobias, Hans-Peter Meinzer, and Klaus H. Maier-Hein. “3D Regression Voting on CT-Volumes of the Human Liver for SSM Surface Appearance Modeling.” In Shape 2014 - Symposium on Statistical Shape Models and Applications. Delémont, Switzerland, 2014.

———. “3D Statistical Shape Models Incorporating 3D Random Forest Regression Voting for Robust CT Liver Segmentation.” In SPIE Medical Imaging. Orlando, USA: International Society for Optics and Photonics, 2015.

Norajitra, Tobias, Hans-Peter Meinzer, Bram Stieltjes, and Klaus H Maier-Hein. “Active Shape Models Incorporating Isolated Landmarks for Medical Image Annotation.” In SPIE Medical Imaging, 90353J-90353J. International Society for Optics and Photonics, 2014.

Peretzke, Robin, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, and Peter Neher. “AtTRACTive: Semi-Automatic White Matter Tract Segmentation Using Active Learning.” In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, edited by Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, and Russell Taylor, 14227:237–46. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-43993-3_23.

Petersen, Jens, Martin Bendszus, Jürgen Debus, Sabine Heiland, and Klaus H. Maier-Hein (ne Fritzsche). “A Software Application for Interactive Medical Image Segmentation with Active User Guidance.” In Proceedings of the MICCAI 2016 Interactive Medical Image Computing Workshop. Athens, Greece: Springer, 2016.

———. “Effective User Guidance in an Online Interactive Semantic Segmentation.” In SPIE Medical Imaging. International Society for Optics and Photonics, 2017.

Petersen, Jens, Sabine Heiland, Marti Bendszus, Jürgen Debus, Marco Nolden, Caspar J. Goch, and Klaus Hermann Maier-Hein. “Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing.” In Bildverarbeitung für die Medizin 2018, edited by Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm, and Thomas Tolxdorff, 22–22. Informatik aktuell. Springer Berlin Heidelberg, 2018.

Petersen, Jens, Sabine Heiland, Martin Bendszus, Jürgen Debus, and K. H. Maier-Hein*. “Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI.” In Bildverarbeitung Für Die Medizin 2017. Informatik Aktuell, 2017.

Petersen, Jens, Fabian Isensee, Gregor Köhler, Paul F. Jäger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, et al. “Continuous-Time Deep Glioma Growth Models.” In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, edited by Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, and Caroline Essert, 83–92. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-87199-4_8.

Petersen, Jens, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, et al. “Deep Probabilistic Modeling of Glioma Growth.” In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, edited by Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, and Ali Khan, 11765:806–14. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-32245-8_89.

Petersen, Jens, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F Jäger, and Klaus H Maier-Hein. “GP-CONVCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data.” In Uncertainty in Artificial Intelligence, 11, 2021.

Philipp, Patrick, Philipp Gemmeke, Maria Maleshkova, Michael Götz, Christian Weber, Benedikt Kämpgen, Marco Nolden, et al. “Automatisierung von Vorverabeitungsschritten Für Medizinische Bilddaten Mit Semantischen Technologien.” In Bildverarbeitung Für Die Medizin 2015. Informatik Aktuell. Springer Berlin Heidelberg, 2015.

Poulin, Philippe, Marc-Alexandre Côté, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, and Maxime Descoteaux. “Learn to Track: Deep Learning for Tractography.” In Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, 540–47. Lecture Notes in Computer Science. Springer, Cham, 2017. https://link.springer.com/chapter/10.1007/978-3-319-66182-7_62.

Reinke, Annika, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, et al. “Common Limitations of Performance Metrics in Biomedical Image Analysis.” In Medical Imaging with Deep Learning (MIDL) Short Track, 2021. https://openreview.net/forum?id=76X9Mthzv4X.

Rengier, Fabian, Omar Naas, Tobias Norajitra, Michael Messerli, Klaus Kallenbach, Klaus Maier-Hein, and Hans-Ulrich Kauczor. “Quantitative MRI-Based Three-Dimensional Volumetry of Dural Sac and Vertebral Bodies Improves Diagnosis of Dural Ectasia in Marfan Syndrome,” 429. European Society of Radiology, 2017.

Stein, Tobias, Jasmin Metzger, Jonas Scherer, Fabian Isensee, Tobias Norajitra, Jens Kleesiek, Klaus Maier-Hein, and Marco Nolden. “Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images.” In Bildverarbeitung für die Medizin 2019, edited by Heinz Handels, Thomas M. Deserno, Andreas Maier, Klaus Hermann Maier-Hein, Christoph Palm, and Thomas Tolxdorff, 158–63. Informatik aktuell. Springer Fachmedien Wiesbaden, 2019.

Thomas, Sarina, Marc Schnetzke, Michael Brehler, Benedict Swartman, Sven Vetter, Jochen Franke, Paul A. Grützner, Hans-Peter Meinzer, and Marco Nolden. “Upper Ankle Joint Space Detection on Low Contrast Intraoperative Fluoroscopic C-Arm Projections,” 10135:101351I. International Society for Optics and Photonics, 2017. https://doi.org/10.1117/12.2255633.

Tobisch, Alexandra, Peter F Neher, Matthew C Rowe, Klaus H Maier-Hein, and Hui Zhang. “Model-Based Super-Resolution of Diffusion MRI.” In Computational Diffusion MRI and Brain Connectivity, 25–34. Springer, 2014.

Van Bruggen, Thomas, Bram Stieltjes, Hans-Peter Meinzer, and Klaus H Maier-Hein*. “A Retrospective Study of White Matter Integrity in Mild Cognitive Impairment.” In SPIE Medical Imaging, 796515–796515. International Society for Optics and Photonics, 2011.

———. “Tract-Based Spatial Statistics of the Corpus Callosum Using Different Tensor-Derived Indices.” In Bildverarbeitung Für Die Medizin 2011, 244–48. Springer Berlin Heidelberg, 2011.

Waibel, Dominik, Janek Gröhl, Fabian Isensee, Klaus Hermann Maier-Hein, and Lena Maier-Hein. “Abstract: Rekonstruktion der initialen Druckverteilung photoakustischer Bilder mit limitiertem Blickwinkel durch maschinelle Lernverfahren.” In Bildverarbeitung für die Medizin 2018, edited by Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm, and Thomas Tolxdorff, 201–201. Informatik aktuell. Springer Berlin Heidelberg, 2018.

Wasserthal, Jakob, Peter F. Neher, and Klaus H. Maier-Hein. “Tract Orientation Mapping for Bundle-Specific Tractography.” In Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, edited by Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, and Gabor Fichtinger, 36–44. Lecture Notes in Computer Science. Springer International Publishing, 2018.

Weber, Christian, Michael Götz, F. Binczyck, J. Polanska, R. Tarnawski, B. Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, and Klaus H. Maier-Hein. “Überwachtes Lernen Zur Prädiktion von Tumorwachstum.” In Bildverarbeitung Für Die Medizin 2015. Informatik Aktuell. Springer Berlin Heidelberg, 2015.

Weber, Christian, M. Götz, B. Stieltjes, J. Polanska, F. Binczyk, R. Tarnawski, Bobek-Billewicz, B., and Maier-Hein, Klaus H. “Brain Tumor Progression Modeling - A Data Driven Approach.” In In Proceedings MICCAI Workshop on Image-Guided Adaptive Radiation Therapy, 2014.

Weber, Christian, Bram Stieltjes, J. Polanska, F. Binczyck, R. Tarnawski, B. Bobek-Billewicz, Timo Rodi, S. Regnery, and Klaus H. Maier-Hein. “Tumor Progression Mapping: An Intuitive Visualization of Glioblastoma Progression in MR Follow-Ups.” In In Proceedings of Annual Meeting ISMRM. Milano, 2014.

Wirkert, Sebastian J., Anant S. Vemuri, Hannes G. Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer, Klaus H. Maier-Hein, Daniel S. Elson, and Lena Maier-Hein. “Physiological Parameter Estimation from Multispectral Images Unleashed.” In Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, 134–41. Lecture Notes in Computer Science. Springer, Cham, 2017. https://link.springer.com/chapter/10.1007/978-3-319-66179-7_16.

Zenk, Maximilian, David Zimmerer, Fabian Isensee, Paul F. Jäger, Jakob Wasserthal, and Klaus Maier-Hein. “Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks.” In Bildverarbeitung für die Medizin 2022, edited by Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, and Thomas Tolxdorff, 291–96. Informatik aktuell. Wiesbaden: Springer Fachmedien, 2022. https://doi.org/10.1007/978-3-658-36932-3_61.

Zimmerer, David, Fabian Isensee, Jens Petersen, Simon Kohl, and Klaus Maier-Hein. “Unsupervised Anomaly Localization Using Variational Auto-Encoders.” In MICCAI 2019, 2019.

Zimmerer, David, Jens Petersen, Fabian Isensee, and Klaus Maier-Hein. “Context-Encoding Variational Autoencoder for Unsupervised Anomaly Detection.” In International Conference on Medical Imaging with Deep Learning – Extended Abstract Track. London, United Kingdom, 2019. https://openreview.net/forum?id=BylLiVXptV.

Zimmerer, David, Jens Petersen, Simon AA Kohl, and Klaus H Maier-Hein. “A Case for the Score: Identifying Image Anomalies Using Variational Autoencoder Gradients.” In Medical Imaging Meets NeurIPS 2018, 2018.

Zimmerer, David, Jens Petersen, Gregor Köhler, Paul Jäger, Peter Full, Tobias Roß, Tim Adler, Annika Reinke, Lena Maier-Hein, and Klaus Maier-Hein. “Medical Out-of-Distribution Analysis Challenge,” March 19, 2020. https://doi.org/10.5281/zenodo.3961376.