Dagmar Kainmueller
Dagmar Kainmueller
Bestätigte E-Mail-Adresse bei mdc-berlin.de - Startseite
TitelZitiert vonJahr
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
7762009
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
2342007
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
942008
Model-based auto-segmentation of knee bones and cartilage in MRI data
H Seim, D Kainmueller, H Lamecker, M Bindernagel, J Malinowski, ...
Proc. Medical Image Analysis for the Clinic: A Grand Challenge, in …, 2010
612010
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
532009
Automatic extraction of mandibular nerve and bone from cone-beam CT data
D Kainmueller, H Lamecker, H Seim, M Zinser, S Zachow
International Conference on Medical Image Computing and Computer-Assisted …, 2009
522009
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 (2), 111-124, 2010
452010
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation
DL Richmond, D Kainmueller, MY Yang, EW Myers, C Rother, ...
38*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, 25-36, 2014
302014
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
27*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
252008
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
212017
Automatic detection and classification of teeth in CT data
H Lamecker, D Kainmueller, S Zachow
International Conference on Medical Image Computing and Computer-Assisted …, 2012
212012
Coupling Deformable Models for Multi-object Segmentation
D Kainmueller, H Lamecker, S Zachow, HC Hege
International Symposium on Biomedical Simulation, 69-78, 2008
182008
Uncertainty-driven forest predictors for vertebra localization and segmentation
D Richmond, D Kainmueller, B Glocker, C Rother, G Myers
International Conference on Medical Image Computing and Computer-Assisted …, 2015
152015
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
142017
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
142016
Active graph matching for automatic joint segmentation and annotation of C. elegans
D Kainmueller, F Jug, C Rother, G Myers
International Conference on Medical Image Computing and Computer-Assisted …, 2014
142014
An articulated statistical shape model of the human knee
M Bindernagel, D Kainmueller, H Seim, H Lamecker, S Zachow, HC Hege
Bildverarbeitung für die Medizin 2011, 59-63, 2011
122011
Convexity shape constraints for image segmentation
LA Royer, DL Richmond, C Rother, B Andres, D Kainmueller
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
112016
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