| 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 | 1138 | 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 | 512 | 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 | 278 | 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 | 160 | 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 | 127 | 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 | 89 | 2010 |
| 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 | 85 | 2009 |
| 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 | 81 | 2009 |
| 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 | 79 | 2017 |
| 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 | 65 | 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 | 53 | 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 | 52 | 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 | 39 | 2014 |
| Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, E Christodoulou, B Glocker, ... | 37 | 2022 |
| 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 | 37 | 2014 |
| 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 | 32 | 2016 |
| 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 | 31 | 2019 |
| 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 | 31* | 2013 |
| Patchperpix for instance segmentation L Mais, P Hirsch, D Kainmueller Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 28* | 2020 |
| 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 | 28 | 2008 |
Hans Lamecker1000shapes GmbHVerified email at 1000shapes.com
