Dagmar Kainmueller

47 papers A* 4A 1Journal 20Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance. CoRR Vanessa Emanuela Guarino, Claudia Winklmayr, Jannik Franzen, Josef Lorenz Rumberger, Manuel Pfeuffer, Sonja Greven, Klaus H. Maier-Hein, Carsten T. Lüth, Christoph Karg, Dagmar Kainmueller
2025	J	`jnl`	Fully Unsupervised Annotation of C. Elegans. CoRR Christoph Karg, Sebastian Stricker, Lisa Hutschenreiter, Bogdan Savchynskyy, Dagmar Kainmueller
2025	J	`jnl`	PhenoBench: A Comprehensive Benchmark for Cell Phenotyping. CoRR Fabian H. Reith, Claudia Winklmayr, Jérôme Lüscher, Nora Koreuber, Jannik Franzen, Elias Baumann, Christian M. Schürch, Dagmar Kainmueller, Josef Lorenz Rumberger
2025	—	`conf`	SelfAdapt: Unsupervised Domain Adaptation of Cell Segmentation Models. ICCVW Fabian H. Reith, Jannik Franzen, Josef Lorenz Rumberger, Dagmar Kainmueller
2025	J	`jnl`	SelfAdapt: Unsupervised Domain Adaptation of Cell Segmentation Models. CoRR Fabian H. Reith, Jannik Franzen, Dinesh R. Palli, Josef Lorenz Rumberger, Dagmar Kainmueller
2024	A*	`conf`	Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification. NeurIPS Jannik Franzen, Claudia Winklmayr, Vanessa Emanuela Guarino, Christoph Karg, Xiaoyan Yu, Nora Koreuber, Jan Philipp Albrecht, Philip Bischoff, Dagmar Kainmueller
2024	J	`jnl`	Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification. CoRR Jannik Franzen, Claudia Winklmayr, Vanessa Emanuela Guarino, Christoph Karg, Xiaoyan Yu, Nora Koreuber, Jan Philipp Albrecht, Philip Bischoff, Dagmar Kainmueller
2024	A*	`conf`	FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range thin Filamentous Structures. CVPR Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller
2024	J	`jnl`	FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures. CoRR Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller
2024	—	`conf`	Model Guidance via Explanations Turns Image Classifiers into Segmentation Models. xAI (2) Xiaoyan Yu, Jannik Franzen, Wojciech Samek, Marina M.-C. Höhne, Dagmar Kainmueller
2024	J	`jnl`	Model Guidance via Explanations Turns Image Classifiers into Segmentation Models. CoRR Xiaoyan Yu, Jannik Franzen, Wojciech Samek, Marina M.-C. Höhne, Dagmar Kainmueller
2024	—	`conf`	Simultaneous Lung Cell and Nucleus Segmentation From Labelled Versus Unlabelled Human Lung DIC Images. ISBI Melanie Dohmen, Mirja Mittermaier, Josef Lorenz Rumberger, Li-Ling Yang, Achim D. Gruber, Mario Toennies, Stefan Hippenstiel, Dagmar Kainmueller, Andreas C. Hocke
2023	—	`conf`	ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency Training for Instance Segmentation. ICCV (Workshops) Josef Lorenz Rumberger, Jannik Franzen, Peter Hirsch, Jan Philipp Albrecht, Dagmar Kainmueller
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2023	—	`conf`	Towards Hierarchical Regional Transformer-based Multiple Instance Learning. ICCV (Workshops) Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne
2023	J	`jnl`	Towards Hierarchical Regional Transformer-based Multiple Instance Learning. CoRR Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2022	—	`conf`	Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction. MLCN@MICCAI Marc-Andre Schulz, Alexander Koch, Vanessa Emanuela Guarino, Dagmar Kainmueller, Kerstin Ritter
2022	J	`jnl`	Panoptic segmentation with highly imbalanced semantic labels. CoRR Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Dagmar Kainmueller
2022	—	`conf`	Tracking by Weakly-Supervised Learning and Graph Optimization for Whole-Embryo C. elegans lineages. MICCAI (4) Peter Hirsch, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke
2022	J	`jnl`	Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages. CoRR Peter Hirsch, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke
2021	A*	`conf`	How Shift Equivariance Impacts Metric Learning for Instance Segmentation. ICCV Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller
2021	J	`jnl`	How Shift Equivariance Impacts Metric Learning for Instance Segmentation. CoRR Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller
2020	—	`conf`	An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. MIDL Peter Hirsch, Dagmar Kainmueller
2020	J	`jnl`	An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. CoRR Peter Hirsch, Dagmar Kainmueller
2020	—	`conf`	PatchPerPix for Instance Segmentation. ECCV (25) Lisa Mais, Peter Hirsch, Dagmar Kainmueller
2020	J	`jnl`	PatchPerPix for Instance Segmentation. CoRR Peter Hirsch, Lisa Mais, Dagmar Kainmueller
2020	—	`conf`	Probabilistic Deep Learning for Instance Segmentation. ECCV Workshops (1) Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller
2020	J	`jnl`	Probabilistic Deep Learning for Instance Segmentation. CoRR Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller
2018	—	`conf`	A Benchmark for Epithelial Cell Tracking. ECCV Workshops (6) Jan Funke, Lisa Mais, Andrew Champion, Natalie Dye, Dagmar Kainmueller
2017	—	`conf`	Crowd sourcing image segmentation with iaSTAPLE. ISBI Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmueller
2016	J	`jnl`	A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CoRR Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy
2016	A*	`conf`	Convexity Shape Constraints for Image Segmentation. CVPR Loïc Alain Royer, David L. Richmond, Carsten Rother, Bjoern Andres, Dagmar Kainmueller
2016	J	`jnl`	GPU-accelerated level-set segmentation. J. Real Time Image Process. Julián Lamas-Rodríguez, Dora Blanco Heras, Francisco Argüello, Dagmar Kainmueller, Stefan Zachow, Montserrat Bóo
2016	A	`conf`	Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation. BMVC David L. Richmond, Dagmar Kainmueller, Michael Ying Yang, Eugene W. Myers, Carsten Rother
2015	—	`—`	Deformable meshes for medical image segmentation: accurate automatic segmentation of anatomical structures. Dagmar Kainmueller
2015	J	`jnl`	Relating Cascaded Random Forests to Deep Convolutional Neural Networks for Semantic Segmentation. CoRR David L. Richmond, Dagmar Kainmueller, Michael Ying Yang, Eugene W. Myers, Carsten Rother
2015	—	`conf`	Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation. MICCAI (1) David L. Richmond, Dagmar Kainmueller, Ben Glocker, Carsten Rother, Gene Myers
2014	—	`conf`	Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans. MICCAI (1) Dagmar Kainmueller, Florian Jug, Carsten Rother, Gene Myers
2013	J	`jnl`	Omnidirectional displacements for deformable surfaces. Medical Image Anal. Dagmar Kainmueller, Hans Lamecker, Markus Heller, Britta Weber, Hans-Christian Hege, Stefan Zachow
2012	—	`conf`	Automatic Detection and Classification of Teeth in CT Data. MICCAI (1) Nguyen The Duy, Hans Lamecker, Dagmar Kainmueller, Stefan Zachow
2011	—	`conf`	An Articulated Statistical Shape Model of the Human Knee. Bildverarbeitung für die Medizin Matthias Bindernagel, Dagmar Kainmueller, Heiko Seim, Hans Lamecker, Stefan Zachow, Hans-Christian Hege
2010	—	`conf`	Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs. MICCAI (1) Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Stefan Zachow, Hans-Christian Hege
2009	—	`conf`	Automatic Extraction of Anatomical Landmarks from Medical Image Data: An Evaluation of Different Methods. ISBI Heiko Seim, Dagmar Kainmueller, Markus Heller, Stefan Zachow, Hans-Christian Hege
2009	—	`conf`	Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data. MICCAI (1) Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Max Zinser, Stefan Zachow
2008	—	`conf`	Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model. VCBM Heiko Seim, Dagmar Kainmueller, Markus Heller, Hans Lamecker, Stefan Zachow, Hans-Christian Hege
2008	—	`conf`	Coupling Deformable Models for Multi-object Segmentation. ISBMS Dagmar Kainmueller, Hans Lamecker, Stefan Zachow, Hans-Christian Hege