| 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 | 1331 | 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 | 967 | 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 | 286 | 2007 |
| Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 219 | 2021 |
| Metrics reloaded: recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ... Nature methods 21 (2), 195-212, 2024 | 212 | 2024 |
| 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 | 192 | 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 | 143 | 2008 |
| Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, E Christodoulou, B Glocker, ... | 130 | 2022 |
| 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 | 108 | 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 | 103 | 2009 |
| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods 21 (2), 182-194, 2024 | 99 | 2024 |
| 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 | 99 | 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 | 92 | 2009 |
| 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 | 80* | 2015 |
| 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 | 80 | 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 | 67 | 2017 |
| A searchable image resource of Drosophila GAL4-driver expression patterns with single neuron resolution GW Meissner, A Nern, KF Zachary Dorman, Gina M. DePasquale, ... eLife 12:e80660, 2022 | 58 | 2022 |
| A Connectome of the Male Drosophila Ventral Nerve Cord S Takemura, KJ Hayworth, GB Huang, M Januszewski, Z Lu, EC Marin, ... BioRxiv, 2023.06. 05.543757, 2023 | 53 | 2023 |
| 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 | 52 | 2019 |
| Coupling Deformable Models for Multi-object Segmentation D Kainmueller, H Lamecker, S Zachow, HC Hege International Symposium on Biomedical Simulation, 69-78, 2008 | 50* | 2008 |
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