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ORCIDDagmar Kainmüller
Dagmar Kainmueller
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- affiliation: MDC Berlin, Berlin, Germany
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2020 – today
- 2024
[c34]Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller:
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range thin Filamentous Structures. CVPR 2024: 22249-22259- [c33]Marc-Andre Schulz, Jan Philipp Albrecht, Alpay Yilmaz, Alexander Koch, Dagmar Kainmüller, Ulf Leser, Kerstin Ritter:
TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain. EDBT/ICDT Workshops 2024 - [c32]Melanie Dohmen, Mirja Mittermaier, Josef Lorenz Rumberger, Li-Ling Yang, Achim D. Gruber, Mario Toennies, Stefan Hippenstiel, Dagmar Kainmueller, Andreas C. Hocke:
Simultaneous Lung Cell and Nucleus Segmentation From Labelled Versus Unlabelled Human Lung DIC Images. ISBI 2024: 1-5 - [c31]Jannik Franzen, Claudia Winklmayr, Vanessa Emanuela Guarino, Christoph Karg, Xiaoyan Yu, Nora Koreuber, Jan Philipp Albrecht, Philip Bischoff, Dagmar Kainmueller:
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification. NeurIPS 2024 - [c30]Xiaoyan Yu
, Jannik Franzen, Wojciech Samek, Marina M.-C. Höhne, Dagmar Kainmueller:
Model Guidance via Explanations Turns Image Classifiers into Segmentation Models. xAI (2) 2024: 113-129 - [d1]Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller:
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures. Zenodo, 2024
- [i18]Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller:
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures. CoRR abs/2404.00130 (2024) - [i17]Xiaoyan Yu, Jannik Franzen, Wojciech Samek, Marina M.-C. Höhne, Dagmar Kainmueller:
Model Guidance via Explanations Turns Image Classifiers into Segmentation Models. CoRR abs/2407.03009 (2024) - [i16]Jannik Franzen, Claudia Winklmayr, Vanessa Emanuela Guarino, Christoph Karg, Xiaoyan Yu, Nora Koreuber, Jan Philipp Albrecht, Philip Bischoff, Dagmar Kainmueller:
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification. CoRR abs/2411.07097 (2024) - 2023
- [c29]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: 3792-3801 - [c28]Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne:
Towards Hierarchical Regional Transformer-based Multiple Instance Learning. ICCV (Workshops) 2023: 3954-3962 - [i15]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 abs/2302.01790 (2023) - [i14]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 abs/2303.06274 (2023) - [i13]Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne:
Towards Hierarchical Regional Transformer-based Multiple Instance Learning. CoRR abs/2308.12634 (2023) - 2022
- [c27]Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy:
A Comparative Study of Graph Matching Algorithms in Computer Vision. ECCV (23) 2022: 636-653 - [c26]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: 25-35 - [c25]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: 169-178 - [i12]Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Dagmar Kainmueller:
Panoptic segmentation with highly imbalanced semantic labels. CoRR abs/2203.11692 (2022) - [i11]Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy:
A Comparative Study of Graph Matching Algorithms in Computer Vision. CoRR abs/2207.00291 (2022) - [i10]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 abs/2208.11467 (2022) - 2021
- [j5]Ulf Leser, Marcus Hilbrich, Claudia Draxl, Peter Eisert, Lars Grunske, Patrick Hostert, Dagmar Kainmüller, Odej Kao, Birte Kehr, Timo Kehrer, Christoph Koch, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert, Kerstin Ritter, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich:
The Collaborative Research Center FONDA. Datenbank-Spektrum 21(3): 255-260 (2021) - [c24]Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy:
Fusion Moves for Graph Matching. ICCV 2021: 6250-6259 - [c23]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: 7108-7116 - [i9]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 abs/2101.05846 (2021) - [i8]Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy:
Fusion Moves for Graph Matching. CoRR abs/2101.12085 (2021) - 2020
- [c22]Lisa Mais, Peter Hirsch, Dagmar Kainmueller:
PatchPerPix for Instance Segmentation. ECCV (25) 2020: 288-304 - [c21]Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller:
Probabilistic Deep Learning for Instance Segmentation. ECCV Workshops (1) 2020: 445-457 - [c20]Peter Hirsch, Dagmar Kainmueller:
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. MIDL 2020: 304-321 - [i7]Peter Hirsch, Lisa Mais, Dagmar Kainmueller:
PatchPerPix for Instance Segmentation. CoRR abs/2001.07626 (2020) - [i6]Peter Hirsch, Dagmar Kainmueller:
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. CoRR abs/2002.02857 (2020) - [i5]Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller:
Probabilistic Deep Learning for Instance Segmentation. CoRR abs/2008.10678 (2020)
2010 – 2019
- 2019
- [c19]Paul Swoboda, Dagmar Kainmüller, Ashkan Mokarian, Christian Theobalt, Florian Bernard:
A Convex Relaxation for Multi-Graph Matching. CVPR 2019: 11156-11165 - 2018
- [c18]Jan Funke, Lisa Mais, Andrew Champion, Natalie Dye, Dagmar Kainmueller:
A Benchmark for Epithelial Cell Tracking. ECCV Workshops (6) 2018: 437-445 - 2017
- [c17]Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmüller, Bogdan Savchynskyy:
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CVPR 2017: 7062-7071 - [c16]Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmueller:
Crowd sourcing image segmentation with iaSTAPLE. ISBI 2017: 401-405 - [i4]Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmüller:
Crowd Sourcing Image Segmentation with iaSTAPLE. CoRR abs/1702.06461 (2017) - 2016
- [j4]Julián Lamas-Rodríguez, Dora Blanco Heras, Francisco Argüello, Dagmar Kainmueller, Stefan Zachow, Montserrat Bóo:
GPU-accelerated level-set segmentation. J. Real Time Image Process. 12(1): 15-29 (2016) - [c15]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 - [c14]Loïc Alain Royer, David L. Richmond, Carsten Rother, Bjoern Andres, Dagmar Kainmueller:
Convexity Shape Constraints for Image Segmentation. CVPR 2016: 402-410 - [i3]Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy:
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CoRR abs/1612.05476 (2016) - 2015
- [b1]Dagmar Kainmueller:
Deformable meshes for medical image segmentation: accurate automatic segmentation of anatomical structures. University of Lübeck, Springer Vieweg 2015, ISBN 978-3-658-07014-4, pp. 1-180 - [c13]David L. Richmond, Dagmar Kainmueller, Ben Glocker, Carsten Rother, Gene Myers:
Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation. MICCAI (1) 2015: 653-660 - [i2]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 abs/1507.07583 (2015) - [i1]Loïc Alain Royer, David L. Richmond, Carsten Rother, Björn Andres, Dagmar Kainmüller:
Convexity Shape Constraints for Image Segmentation. CoRR abs/1509.02122 (2015) - 2014
- [c12]Florian Jug, Tobias Pietzsch, Dagmar Kainmüller, Jan Funke, Matthias Kaiser, Erik van Nimwegen, Carsten Rother, Gene Myers:
Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine. BAMBI 2014: 25-36 - [c11]Dagmar Kainmueller, Florian Jug, Carsten Rother, Gene Myers:
Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans. MICCAI (1) 2014: 81-88 - 2013
- [j3]Dagmar Kainmueller, Hans Lamecker, Markus Heller, Britta Weber, Hans-Christian Hege, Stefan Zachow:
Omnidirectional displacements for deformable surfaces. Medical Image Anal. 17(4): 429-441 (2013) - [c10]Julián Lamas-Rodríguez, Dora Blanco Heras, Francisco Argüello, Stefan Zachow, Dagmar Kainmüller:
Partitioning and mapping a fast level-set algorithm on the GPU. IDAACS 2013: 681-686 - 2012
- [c9]Nguyen The Duy, Hans Lamecker, Dagmar Kainmueller, Stefan Zachow:
Automatic Detection and Classification of Teeth in CT Data. MICCAI (1) 2012: 609-616 - 2011
- [c8]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: 59-63 - 2010
- [j2]Jalda Dworzak, Hans Lamecker, Jens von Berg, Tobias Klinder, Cristian Lorenz, Dagmar Kainmüller, Heiko Seim, Hans-Christian Hege, Stefan Zachow:
3D reconstruction of the human rib cage from 2D projection images using a statistical shape model. Int. J. Comput. Assist. Radiol. Surg. 5(2): 111-124 (2010) - [c7]Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Stefan Zachow, Hans-Christian Hege:
Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs. MICCAI (1) 2010: 227-234
2000 – 2009
- 2009
- [j1]Tobias Heimann, Bram van Ginneken, Martin Styner, Yulia Arzhaeva, Volker Aurich, Christian Bauer, Andreas Beck, Christoph Becker, Reinhard Beichel, György Bekes, Fernando Bello, Gerd Karl Binnig, Horst Bischof, Alexander Bornik, Peter Cashman, Ying Chi, Andrés Cordova, Benoit M. Dawant, Márta Fidrich, Jacob D. Furst, Daisuke Furukawa, Lars Grenacher, Joachim Hornegger, Dagmar Kainmüller, Richard Kitney, Hidefumi Kobatake, Hans Lamecker, Thomas Lange, Jeongjin Lee, Brian Lennon, Rui Li, Senhu Li, Hans-Peter Meinzer, Gábor Németh, Daniela Stan Raicu, Anne-Mareike Rau, Eva M. van Rikxoort, Mikaël Rousson, László Ruskó, Kinda Anna Saddi, Günter Schmidt, Dieter Seghers, Akinobu Shimizu, Pieter Slagmolen, Erich Sorantin, Grzegorz Soza, Ruchaneewan Susomboon, Jonathan M. Waite, Andreas Wimmer, Ivo Wolf:
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging 28(8): 1251-1265 (2009) - [c6]Heiko Seim, Dagmar Kainmüller, Hans Lamecker, Stefan Zachow:
A System for Unsupervised Extraction of Orthopaedic Parameters from CT Data. GI Jahrestagung 2009: 1328-1337 - [c5]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: 538-541 - [c4]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: 76-83 - 2008
- [c3]Dagmar Kainmueller, Hans Lamecker, Stefan Zachow, Hans-Christian Hege:
Coupling Deformable Models for Multi-object Segmentation. ISBMS 2008: 69-78 - [c2]Dagmar Kainmüller, Roland Unterhinninghofen, Sebastian Ley, Rüdiger Dillmann:
Level set segmentation of the heart from 4D phase contrast MRI. Image Processing 2008: 691414 - [c1]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: 93-100
Coauthor Index
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