Coupling Deformable Models for Multi-object Segmentation. - Dagmar Kainmueller; Hans Lamecker; Stefan Zachow; Hans-Christian Hege (ISBMS, 2008)

Level set segmentation of the heart from 4D phase contrast MRI. - Dagmar Kainmüller; Roland Unterhinninghofen; Sebastian Ley; Rüdiger Dillmann (Image Processing, 2008)

Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model. - Heiko Seim; Dagmar Kainmueller; Markus Heller; Hans Lamecker; Stefan Zachow; Hans-Christian Hege (VCBM, 2008)

A System for Unsupervised Extraction of Orthopaedic Parameters from CT Data. - Heiko Seim; Dagmar Kainmüller; Hans Lamecker; Stefan Zachow (GI Jahrestagung, 2009)

Automatic Extraction of Anatomical Landmarks from Medical Image Data: An Evaluation of Different Methods. - Heiko Seim; Dagmar Kainmueller; Markus Heller; Stefan Zachow; Hans-Christian Hege (ISBI, 2009)

Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data. - Dagmar Kainmueller; Hans Lamecker; Heiko Seim; Max Zinser; Stefan Zachow (MICCAI (1), 2009)

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. - Tobias Heimann; Bram van Ginneken; Martin Styner; Yulia Arzhaeva; Volker Aurich; Christian Bauer 001; Andreas Beck 001; Christoph Becker 002; Reinhard Beichel; György Bekes; Fernando Bello; Gerd Karl Binnig; et al. (IEEE Trans. Medical Imaging, 2009)

Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs. - Dagmar Kainmueller; Hans Lamecker; Heiko Seim; Stefan Zachow; Hans-Christian Hege (MICCAI (1), 2010)

3D reconstruction of the human rib cage from 2D projection images using a statistical shape model. - Jalda Dworzak; Hans Lamecker; Jens von Berg; Tobias Klinder; Cristian Lorenz; Dagmar Kainmüller; Heiko Seim; Hans-Christian Hege; Stefan Zachow (Int. J. Comput. Assist. Radiol. Surg., 2010)

An Articulated Statistical Shape Model of the Human Knee. - Matthias Bindernagel; Dagmar Kainmueller; Heiko Seim; Hans Lamecker; Stefan Zachow; Hans-Christian Hege (Bildverarbeitung für die Medizin, 2011)

Automatic Detection and Classification of Teeth in CT Data. - Nguyen The Duy; Hans Lamecker; Dagmar Kainmueller; Stefan Zachow (MICCAI (1), 2012)

Partitioning and mapping a fast level-set algorithm on the GPU. - Julián Lamas-Rodríguez; Dora Blanco Heras; Francisco Argüello; Stefan Zachow; Dagmar Kainmüller (IDAACS, 2013)

Omnidirectional displacements for deformable surfaces. - Dagmar Kainmueller; Hans Lamecker; Markus Heller; Britta Weber; Hans-Christian Hege; Stefan Zachow (Medical Image Anal., 2013)

Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine. - Florian Jug; Tobias Pietzsch; Dagmar Kainmüller; Jan Funke; Matthias Kaiser; Erik van Nimwegen; Carsten Rother; Gene Myers (BAMBI, 2014)

Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans. - Dagmar Kainmueller; Florian Jug; Carsten Rother; Gene Myers (MICCAI (1), 2014)

Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation. - David L. Richmond; Dagmar Kainmueller; Ben Glocker; Carsten Rother; Gene Myers (MICCAI (1), 2015)

Relating Cascaded Random Forests to Deep Convolutional Neural Networks for Semantic Segmentation. - David L. Richmond; Dagmar Kainmueller; Michael Ying Yang; Eugene W. Myers; Carsten Rother (CoRR, 2015)

Deformable meshes for medical image segmentation: accurate automatic segmentation of anatomical structures. - Dagmar Kainmueller (Springer Vieweg, 2015)

Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation. - David L. Richmond; Dagmar Kainmueller; Michael Ying Yang; Eugene W. Myers; Carsten Rother (BMVC, 2016)

Convexity Shape Constraints for Image Segmentation. - Loïc Alain Royer; David L. Richmond; Carsten Rother; Bjoern Andres; Dagmar Kainmueller (CVPR, 2016)

GPU-accelerated level-set segmentation. - Julián Lamas-Rodríguez; Dora Blanco Heras; Francisco Argüello; Dagmar Kainmueller; Stefan Zachow; Montserrat Bóo (J. Real Time Image Process., 2016)

A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. - Paul Swoboda; Carsten Rother; Hassan Abu Alhaija; Dagmar Kainmüller; Bogdan Savchynskyy (CVPR, 2017)

Crowd sourcing image segmentation with iaSTAPLE. - Dmitrij Schlesinger; Florian Jug; Gene Myers; Carsten Rother; Dagmar Kainmueller (ISBI, 2017)

A Benchmark for Epithelial Cell Tracking. - Jan Funke; Lisa Mais; Andrew Champion; Natalie Dye; Dagmar Kainmueller (ECCV Workshops (6), 2018)

A Convex Relaxation for Multi-Graph Matching. - Paul Swoboda; Dagmar Kainmüller; Ashkan Mokarian; Christian Theobalt; Florian Bernard (CVPR, 2019)

PatchPerPix for Instance Segmentation. - Lisa Mais; Peter Hirsch 001; Dagmar Kainmueller (ECCV (25), 2020)

Probabilistic Deep Learning for Instance Segmentation. - Josef Lorenz Rumberger; Lisa Mais; Dagmar Kainmueller (ECCV Workshops (1), 2020)

An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. - Peter Hirsch 001; Dagmar Kainmueller (MIDL, 2020)

Fusion Moves for Graph Matching. - Lisa Hutschenreiter; Stefan Haller; Lorenz Feineis; Carsten Rother; Dagmar Kainmüller; Bogdan Savchynskyy (ICCV, 2021)

How Shift Equivariance Impacts Metric Learning for Instance Segmentation. - Josef Lorenz Rumberger; Xiaoyan Yu; Peter Hirsch 001; Melanie Dohmen; Vanessa Emanuela Guarino; Ashkan Mokarian; Lisa Mais; Jan Funke; Dagmar Kainmueller (ICCV, 2021)

The Collaborative Research Center FONDA. - Ulf Leser; Marcus Hilbrich; Claudia Draxl; Peter Eisert; Lars Grunske; Patrick Hostert; Dagmar Kainmüller; Odej Kao; Birte Kehr; Timo Kehrer; Christoph Koch 001; Volker Markl; et al. (Datenbank-Spektrum, 2021)

A Comparative Study of Graph Matching Algorithms in Computer Vision. - Stefan Haller; Lorenz Feineis; Lisa Hutschenreiter; Florian Bernard; Carsten Rother; Dagmar Kainmüller; Paul Swoboda; Bogdan Savchynskyy (ECCV (23), 2022)

Tracking by Weakly-Supervised Learning and Graph Optimization for Whole-Embryo C. elegans lineages. - Peter Hirsch 001; Caroline Malin-Mayor; Anthony Santella; Stephan Preibisch; Dagmar Kainmueller; Jan Funke (MICCAI (4), 2022)

Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction. - Marc-Andre Schulz; Alexander Koch 007; Vanessa Emanuela Guarino; Dagmar Kainmueller; Kerstin Ritter (MLCN@MICCAI, 2022)

Panoptic segmentation with highly imbalanced semantic labels. - Josef Lorenz Rumberger; Elias Baumann; Peter Hirsch 001; Dagmar Kainmueller (CoRR, 2022)

Towards Hierarchical Regional Transformer-based Multiple Instance Learning. - Josef Cersovsky; Sadegh Mohammadi 003; Dagmar Kainmueller; Johannes Höhne (ICCV (Workshops), 2023)

ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency Training for Instance Segmentation. - Josef Lorenz Rumberger; Jannik Franzen; Peter Hirsch 001; Jan Philipp Albrecht; Dagmar Kainmueller (ICCV (Workshops), 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range thin Filamentous Structures. - Lisa Mais; Peter Hirsch 001; Claire Managan; Ramya Kandarpa; Josef Lorenz Rumberger; Annika Reinke; Lena Maier-Hein; Gudrun Ihrke; Dagmar Kainmueller (CVPR, 2024)

TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain. - Marc-Andre Schulz; Jan Philipp Albrecht; Alpay Yilmaz; Alexander Koch 007; Dagmar Kainmüller; Ulf Leser; Kerstin Ritter (EDBT/ICDT Workshops, 2024)

Simultaneous Lung Cell and Nucleus Segmentation From Labelled Versus Unlabelled Human Lung DIC Images. - Melanie Dohmen; Mirja Mittermaier; Josef Lorenz Rumberger; Li-Ling Yang; Achim D. Gruber; Mario Toennies; Stefan Hippenstiel; Dagmar Kainmueller; Andreas C. Hocke (ISBI, 2024)

Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification. - Jannik Franzen; Claudia Winklmayr; Vanessa Emanuela Guarino; Christoph Karg; Xiaoyan Yu; Nora Koreuber; Jan Philipp Albrecht; Philip Bischoff; Dagmar Kainmueller (NeurIPS, 2024)

Model Guidance via Explanations Turns Image Classifiers into Segmentation Models. - Xiaoyan Yu; Jannik Franzen; Wojciech Samek; Marina M.-C. Höhne; Dagmar Kainmueller (xAI (2), 2024)

FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures. - Lisa Mais; Peter Hirsch 001; Claire Managan; Ramya Kandarpa; Josef Lorenz Rumberger; Annika Reinke; Lena Maier-Hein; Gudrun Ihrke; Dagmar Kainmueller (Zenodo, 2024)

Fully Unsupervised Annotation of C. Elegans. - Christoph Karg; Sebastian Stricker; Lisa Hutschenreiter; Bogdan Savchynskyy; Dagmar Kainmueller (CoRR, 2025)

PhenoBench: A Comprehensive Benchmark for Cell Phenotyping. - Fabian H. Reith; Claudia Winklmayr; Jerome Luescher; Nora Koreuber; Jannik Franzen; Elias Baumann; Christian M. Schuerch; Dagmar Kainmueller; Josef Lorenz Rumberger (CoRR, 2025)

SelfAdapt: Unsupervised Domain Adaptation of Cell Segmentation Models. - Fabian H. Reith; Jannik Franzen; Dinesh R. Palli; Josef Lorenz Rumberger; Dagmar Kainmueller (CoRR, 2025)