Dagmar Kainmueller

ORCID

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 25

Top Venues

University of Lübeck (PHD)

Education History

University of Lübeck

PHD

Publications

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
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR (2023)
Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne
Towards Hierarchical Regional Transformer-based Multiple Instance Learning. CoRR (2023)
Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne
Towards Hierarchical Regional Transformer-based Multiple Instance Learning. ICCV (Workshops) (2023)
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
Understanding metric-related pitfalls in image analysis validation. CoRR (2023)
Josef Lorenz Rumberger, Jannik Franzen, Peter Hirsch, Jan Philipp Albrecht, Dagmar Kainmueller
ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency Training for Instance Segmentation. ICCV (Workshops) (2023)
Marc-Andre Schulz, Alexander Koch, Vanessa Emanuela Guarino, Dagmar Kainmueller, Kerstin Ritter
Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction. MLCN@MICCAI (2022)
Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Dagmar Kainmueller
Panoptic segmentation with highly imbalanced semantic labels. CoRR (2022)
Peter Hirsch, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke
Tracking by Weakly-Supervised Learning and Graph Optimization for Whole-Embryo C. elegans lineages. MICCAI (4) (2022)
Peter Hirsch, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke
Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages. CoRR (2022)
Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller
How Shift Equivariance Impacts Metric Learning for Instance Segmentation. ICCV (2021)
Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller
How Shift Equivariance Impacts Metric Learning for Instance Segmentation. CoRR (2021)
Peter Hirsch, Lisa Mais, Dagmar Kainmueller
PatchPerPix for Instance Segmentation. CoRR (2020)
Lisa Mais, Peter Hirsch, Dagmar Kainmueller
PatchPerPix for Instance Segmentation. ECCV (25) (2020)
Peter Hirsch, Dagmar Kainmueller
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. CoRR (2020)
Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller
Probabilistic Deep Learning for Instance Segmentation. ECCV Workshops (1) (2020)
Peter Hirsch, Dagmar Kainmueller
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. MIDL (2020)
Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller
Probabilistic Deep Learning for Instance Segmentation. CoRR (2020)
Jan Funke, Lisa Mais, Andrew Champion, Natalie Dye, Dagmar Kainmueller
A Benchmark for Epithelial Cell Tracking. ECCV Workshops (6) (2018)
Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmueller
Crowd sourcing image segmentation with iaSTAPLE. ISBI (2017)
Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CoRR (2016)
Loïc Alain Royer, David L. Richmond, Carsten Rother, Bjoern Andres, Dagmar Kainmueller
Convexity Shape Constraints for Image Segmentation. CVPR (2016)
David L. Richmond, Dagmar Kainmueller, Michael Ying Yang, Eugene W. Myers, Carsten Rother
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation. BMVC (2016)
Julián Lamas-Rodriguez, Dora Blanco Heras, Francisco Argüello, Dagmar Kainmueller, Stefan Zachow, Montserrat Bóo
GPU-accelerated level-set segmentation. J. Real Time Image Process. 12 (1) (2016)
David L. Richmond, Dagmar Kainmueller, Ben Glocker, Carsten Rother, Gene Myers
Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation. MICCAI (1) (2015)
David L. Richmond, Dagmar Kainmueller, Michael Ying Yang, Eugene W. Myers, Carsten Rother
Relating Cascaded Random Forests to Deep Convolutional Neural Networks for Semantic Segmentation. CoRR (2015)
Dagmar Kainmueller, Florian Jug, Carsten Rother, Gene Myers
Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans. MICCAI (1) (2014)
Dagmar Kainmueller, Hans Lamecker, Markus Heller, Britta Weber, Hans-Christian Hege, Stefan Zachow
Omnidirectional displacements for deformable surfaces. Medical Image Anal. 17 (4) (2013)
Nguyen The Duy, Hans Lamecker, Dagmar Kainmueller, Stefan Zachow
Automatic Detection and Classification of Teeth in CT Data. MICCAI (1) (2012)
Matthias Bindernagel, Dagmar Kainmueller, Heiko Seim, Hans Lamecker, Stefan Zachow, Hans-Christian Hege
An Articulated Statistical Shape Model of the Human Knee. Bildverarbeitung für die Medizin (2011)
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Stefan Zachow, Hans-Christian Hege
Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs. MICCAI (1) (2010)
Heiko Seim, Dagmar Kainmueller, Markus Heller, Stefan Zachow, Hans-Christian Hege
Automatic Extraction of Anatomical Landmarks from Medical Image Data: An Evaluation of Different Methods. ISBI (2009)
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Max Zinser, Stefan Zachow
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data. MICCAI (1) (2009)
Heiko Seim, Dagmar Kainmueller, Markus Heller, Hans Lamecker, Stefan Zachow, Hans-Christian Hege
Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model. VCBM (2008)
Dagmar Kainmueller, Hans Lamecker, Stefan Zachow, Hans-Christian Hege
Coupling Deformable Models for Multi-object Segmentation. ISBMS (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dagmar Kainmueller