Dagmar Kainmüller

According to our database, Dagmar Kainmüller authored at least 40 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain.

Marc-Andre Schulz, Jan Philipp Albrecht, Alpay Yilmaz, Alexander Koch, Dagmar Kainmüller, Ulf Leser, Kerstin Ritter

Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024

2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

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

CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.

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

CoRR, 2023

ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency Training for Instance Segmentation.

Josef Lorenz Rumberger, Jannik Franzen, Peter Hirsch, Jan Philipp Albrecht, Dagmar Kainmueller

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Hierarchical Regional Transformer-based Multiple Instance Learning.

Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Panoptic segmentation with highly imbalanced semantic labels.

Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Dagmar Kainmueller

CoRR, 2022

Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction.

Marc-Andre Schulz, Alexander Koch, Vanessa Emanuela Guarino, Dagmar Kainmueller, Kerstin Ritter

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Tracking by Weakly-Supervised Learning and Graph Optimization for Whole-Embryo C. elegans lineages.

Peter Hirsch, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

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, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert, Kerstin Ritter, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich

Datenbank-Spektrum, 2021

How Shift Equivariance Impacts Metric Learning for Instance Segmentation.

Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fusion Moves for Graph Matching.

Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images.

Peter Hirsch, Dagmar Kainmueller

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Probabilistic Deep Learning for Instance Segmentation.

Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

PatchPerPix for Instance Segmentation.

Lisa Mais, Peter Hirsch, Dagmar Kainmueller

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A Convex Relaxation for Multi-Graph Matching.

Paul Swoboda, Dagmar Kainmüller, Ashkan Mokarian, Christian Theobalt, Florian Bernard

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Benchmark for Epithelial Cell Tracking.

Jan Funke, Lisa Mais, Andrew Champion, Natalie Dye, Dagmar Kainmueller

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Crowd sourcing image segmentation with iaSTAPLE.

Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmueller

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching.

Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmüller, Bogdan Savchynskyy

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

GPU-accelerated level-set segmentation.

Julián Lamas-Rodriguez, Dora Blanco Heras, Francisco Argüello, Dagmar Kainmueller, Stefan Zachow, Montserrat Bóo

J. Real Time Image Process., 2016

Convexity Shape Constraints for Image Segmentation.

Loïc Alain Royer, David L. Richmond, Carsten Rother, Bjoern Andres, Dagmar Kainmueller

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation.

David L. Richmond, Dagmar Kainmueller, Michael Ying Yang, Eugene W. Myers, Carsten Rother

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Deformable meshes for medical image segmentation: accurate automatic segmentation of anatomical structures.

Dagmar Kainmueller

PhD thesis, 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

Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation.

David L. Richmond, Dagmar Kainmueller, Ben Glocker, Carsten Rother, Gene Myers

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans.

Dagmar Kainmueller, Florian Jug, Carsten Rother, Gene Myers

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

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

Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013

Omnidirectional displacements for deformable surfaces.

Dagmar Kainmueller, Hans Lamecker, Markus Heller, Britta Weber, Hans-Christian Hege, Stefan Zachow

Medical Image Anal., 2013

Partitioning and mapping a fast level-set algorithm on the GPU.

Julián Lamas-Rodriguez, Dora Blanco Heras, Francisco Argüello, Stefan Zachow, Dagmar Kainmüller

Proceedings of the IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2013

2012

Automatic Detection and Classification of Teeth in CT Data.

Nguyen The Duy, Hans Lamecker, Dagmar Kainmueller, Stefan Zachow

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

An Articulated Statistical Shape Model of the Human Knee.

Matthias Bindernagel, Dagmar Kainmueller, Heiko Seim, Hans Lamecker, Stefan Zachow, Hans-Christian Hege

Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011

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

Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs.

Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Stefan Zachow, Hans-Christian Hege

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

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, 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

IEEE Trans. Medical Imaging, 2009

Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data.

Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Max Zinser, Stefan Zachow

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 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

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

A System for Unsupervised Extraction of Orthopaedic Parameters from CT Data.

Heiko Seim, Dagmar Kainmüller, Hans Lamecker, Stefan Zachow

Proceedings of the 39. Jahrestagung der Gesellschaft für Informatik, Im Focus das Leben, INFORMATIK 2009, Lübeck, Germany, September 28, 2009

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

Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine, 2008

Level set segmentation of the heart from 4D phase contrast MRI.

Dagmar Kainmüller, Roland Unterhinninghofen, Sebastian Ley, Rüdiger Dillmann

Proceedings of the Medical Imaging 2008: Image Processing, 2008

Coupling Deformable Models for Multi-object Segmentation.

Dagmar Kainmueller, Hans Lamecker, Stefan Zachow, Hans-Christian Hege

Proceedings of the Biomedical Simulation, 4th International Symposium, 2008