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Author Title Type [ Year(Desc)]
Filters: Author is Kainmueller, Dagmar  [Clear All Filters]
2007
Kainmueller D, Lange T, Lamecker H.  2007.  Shape constrained automatic segmentation of the liver based on a heuristic intensity model.. MICCAI Workshop 3D Segmentation in the Clinic.
2008
Kainmueller D, Seim H, Heller M, Lamecker H, Zachow S, Hege H-C.  2008.  Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model.
Singer J, Lienhard M, Seim H, Kainmueller D, Kuss A, Lamecker H, Zachow S, Menzel R, Rybak J.  2008.  Model-based autosegmentation of the central brain of the honeybee, Apis mellifera, using active statistical shape models.. Neuroinformatics 2008.
2009
Kainmueller D, Lamecker H, Zachow S, Hege H-C.  2009.  An articulated statistical shape model for accurate hip joint segmentation.. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2009:6345-51.
Kainmueller D, Hege H-C, Seim H, Heller M, Zachow S.  2009.  Automatic Extraction of Anatomical Landmarks From Medical Image Data: An Evaluation of Different Methods.
Kainmueller D, Lamecker H, Seim H, Zinser M, Zachow S.  2009.  Automatic extraction of mandibular nerve and bone from cone-beam CT data.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 12(Pt 2):76-83.
Kainmueller D, Lamecker H, Seim H, Zachow S.  2009.  Multi-object segmentation of head bones.. MIDAS Journal.
Kainmueller D, Lamecker H, Zachow S.  2009.  Multi-object segmentation with coupled deformable models.. Annals of the British Machine Vision Association. 2009(5):1-10.
2010
Seim H, Kainmueller D, Lamecker H, Bindernagel M, Malinowski J, Zachow S.  2010.  Model-based auto-segmentation of knee bones and cartilage in MRI data.. Medical Image Analysis for the Clinic - A Grand Challenge, MICCAI 2010, the 13th International Conference on Medical Image Computing and Computer Assisted Intervention.
2012
Duy NThe, Lamecker H, Kainmueller D, Zachow S.  2012.  Automatic detection and classification of teeth in CT data.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 15(Pt 1):609-16.
2013
Kainmueller D, Lamecker H, Heller MO, Weber B, Hege H-C, Zachow S.  2013.  Omnidirectional displacements for deformable surfaces.. Medical image analysis. 17(4):429-41.
2014
Kainmueller D, Jug F, Rother C, Myers G.  2014.  Active graph matching for automatic joint segmentation and annotation of C. elegans.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 17(Pt 1):81-8.
Jug F, Pietzsch T, Kainmueller D, Myers EW.  2014.  Tracking by assignment facilitates data curation.. Medical Image Computing and Computer-Assisted Intervention – MICCAI Workshop 2014.
2016
L Stapel C, Lombardot B, Broaddus C, Kainmueller D, Jug F, Myers EW, Vastenhouw NL.  2016.  Automated detection and quantification of single RNAs at cellular resolution in zebrafish embryos.. Development (Cambridge, England). 143(3):540-6.
Royer LA, Richmond DL, Rother C, Andres B, Kainmueller D.  2016.  Convexity shape constraints for image segmentation.. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Richmond DL, Kainmueller D, Yang MY, Myers EW, Rother C.  2016.  Mapping auto-context decision forests to deep ConvNets for semantic segmentation.. British Machine Vision Conference.
2020
Scheffer LK, C Xu S, Januszewski M, Lu Z, Takemura S-ya, Hayworth KJ, Huang GB, Shinomiya K, Maitlin-Shepard J, Berg S et al..  2020.  A connectome and analysis of the adult Drosophila central brain.. Elife. 9
2022
Malin-Mayor C, Hirsch P, Guignard L, McDole K, Wan Y, Lemon WC, Kainmueller D, Keller PJ, Preibisch S, Funke J.  2022.  Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations.. Nature Biotechnology.
2023
Malin-Mayor C, Hirsch P, Guignard L, McDole K, Wan Y, Lemon WC, Kainmueller D, Keller PJ, Preibisch S, Funke J.  2023.  Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations.. Nature Biotechnology. 41(1):44-49.
Meissner GWilson, Nern A, Dorman Z, Depasquale GM, Forster K, Gibney T, Hausenfluck JH, He Y, Iyer NA, Jeter J et al..  2023.  A searchable image resource of Drosophila GAL4-driver expression patterns with single neuron resolution.. eLife. 12