Dagmar Kainmueller
Dagmar Kainmueller
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Zitiert von
Zitiert von
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
T Heimann, B van Ginneken, MA Styner, Y Arzhaeva, V Aurich, C Bauer, ...
TMI 28 (8), 1251-1265, 2009
A connectome and analysis of the adult Drosophila central brain
LK Scheffer, CS Xu, M Januszewski, Z Lu, S Takemura, KJ Hayworth, ...
Elife 9, e57443, 2020
Shape constrained automatic segmentation of the liver based on a heuristic intensity model
D Kainmüller, T Lange, H Lamecker
Proc. MICCAI Workshop 3D Segmentation in the Clinic: A Grand Challenge 109, 116, 2007
A Connectome of the Adult Drosophila Central Brain
CS Xu, M Januszewski, Z Lu, S Takemura, KJ Hayworth, G Huang, ...
BioRxiv, 2020.01. 21.911859, 2020
Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model.
H Seim, D Kainmueller, M Heller, H Lamecker, S Zachow, HC Hege
VCBM 8, 93-100, 2008
Model-based auto-segmentation of knee bones and cartilage in MRI data
H Seim, D Kainmueller, H Lamecker, M Bindernagel, J Malinowski, ...
Proc. MICCAI Workshop Medical Image Analysis for the Clinic, 215-223, 2010
Cell dynamics underlying oriented growth of the Drosophila wing imaginal disc
NA Dye, M Popović, S Spannl, R Etournay, D Kainmüller, S Ghosh, ...
Development 144 (23), 4406-4421, 2017
Automatic extraction of mandibular nerve and bone from cone-beam CT data
D Kainmueller, H Lamecker, H Seim, M Zinser, S Zachow
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
An articulated statistical shape model for accurate hip joint segmentation
D Kainmueller, H Lamecker, S Zachow, HC Hege
2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, A Reinke, P Godau, MD Tizabi, E Christodoulou, B Glocker, ...
3D reconstruction of the human rib cage from 2D projection images using a statistical shape model
J Dworzak, H Lamecker, J von Berg, T Klinder, C Lorenz, D Kainmüller, ...
International journal of computer assisted radiology and surgery 5, 111-124, 2010
A study of lagrangean decompositions and dual ascent solvers for graph matching
P Swoboda, C Rother, H Abu Alhaija, D Kainmuller, B Savchynskyy
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Relating cascaded random forests to deep convolutional neural networks for semantic segmentation
DL Richmond, D Kainmueller, MY Yang, EW Myers, C Rother
arXiv preprint arXiv:1507.07583, 2015
Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine
F Jug, T Pietzsch, D Kainmüller, J Funke, M Kaiser, E van Nimwegen, ...
Bayesian and graphical Models for Biomedical Imaging: First International …, 2014
Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans
D Kainmueller, F Jug, C Rother, G Myers
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
A Convex Relaxation for Multi-Graph Matching
P Swoboda, D Kainmueller, A Mokarian, C Theobalt, F Bernard
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Automated detection and quantification of single RNAs at cellular resolution in zebrafish embryos
LC Stapel, B Lombardot, C Broaddus, D Kainmueller, F Jug, EW Myers, ...
Development 143 (3), 540-546, 2016
Patchperpix for instance segmentation
L Mais, P Hirsch, D Kainmueller
European Conference on Computer Vision, 288-304, 2020
Omnidirectional displacements for deformable surfaces
D Kainmueller, H Lamecker, MO Heller, B Weber, HC Hege, S Zachow
Medical image analysis 17 (4), 429-441, 2013
Multi-object segmentation with coupled deformable models
D Kainmueller, H Lamecker, S Zachow, M Heller, HC Hege
Proc. of Medical Image Understanding and Analysis, 34-38, 2008
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