| Characterizing the mechanics of cultured cell monolayers AR Harris, L Peter, J Bellis, B Baum, AJ Kabla, GT Charras Proceedings of the National Academy of Sciences 109 (41), 16449-16454, 2012 | 186 | 2012 |
| Epithelial repair is a two-stage process driven first by dying cells and then by their neighbours D Kuipers, A Mehonic, M Kajita, L Peter, Y Fujita, T Duke, G Charras, ... J Cell Sci 127 (6), 1229-1241, 2014 | 84 | 2014 |
| Random forests for phase detection in surgical workflow analysis R Stauder, A Okur, L Peter, A Schneider, M Kranzfelder, H Feussner, ... International Conference on Information Processing in Computer-Assisted …, 2014 | 37 | 2014 |
| Image segmentation in twenty questions C Rupprecht, L Peter, N Navab Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 26 | 2015 |
| Scale-adaptive forest training via an efficient feature sampling scheme L Peter, O Pauly, P Chatelain, D Mateus, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 22 | 2015 |
| Leveraging random forests for interactive exploration of large histological images L Peter, D Mateus, P Chatelain, N Schworm, S Stangl, G Multhoff, ... International Conference on Medical Image Computing and Computer-Assisted …, 2014 | 17 | 2014 |
| Learning optimization updates for multimodal registration B Gutiérrez-Becker, D Mateus, L Peter, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 15 | 2016 |
| Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization S Conjeti, A Katouzian, AG Roy, L Peter, D Sheet, S Carlier, A Laine, ... Medical image analysis 32, 1-17, 2016 | 15 | 2016 |
| Learning from multiple experts with random forests: Application to the segmentation of the midbrain in 3D ultrasound P Chatelain, O Pauly, L Peter, SA Ahmadi, A Plate, K Bötzel, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 14 | 2013 |
| Guiding multimodal registration with learned optimization updates B Gutierrez-Becker, D Mateus, L Peter, N Navab Medical image analysis 41, 2-17, 2017 | 10 | 2017 |
| Semi-automatic segmentation of autosomal dominant polycystic kidneys using random forests K Sharma, L Peter, C Rupprecht, A Caroli, L Wang, A Remuzzi, M Baust, ... arXiv preprint arXiv:1510.06915, 2015 | 8 | 2015 |
| Hands-free segmentation of medical volumes via binary inputs F Dubost, L Peter, C Rupprecht, BG Becker, N Navab Deep Learning and Data Labeling for Medical Applications, 259-268, 2016 | 7 | 2016 |
| Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections JE Iglesias, M Modat, L Peter, A Stevens, R Annunziata, T Vercauteren, ... Medical image analysis 50, 127-144, 2018 | 6 | 2018 |
| Segmentation of skeleton and organs in whole-body CT images via iterative trilateration M Bieth, L Peter, SG Nekolla, M Eiber, G Langs, M Schwaiger, B Menze IEEE transactions on medical imaging 36 (11), 2276-2286, 2017 | 6 | 2017 |
| A multi-armed bandit to smartly select a training set from big medical data B Gutiérrez, L Peter, T Klein, C Wachinger International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 5 | 2017 |
| Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy L Peter, M Tella-Amo, DI Shakir, G Attilakos, R Wimalasundera, J Deprest, ... International journal of computer assisted radiology and surgery 13 (5), 713-720, 2018 | 4 | 2018 |
| Probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking: application to fetoscopy M Tella-Amo, L Peter, DI Shakir, J Deprest, D Stoyanov, JE Iglesias, ... Journal of Medical Imaging 5 (2), 021217, 2018 | 4 | 2018 |
| Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with … G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ... Springer, 2016 | 4 | 2016 |
| Model-based refinement of nonlinear registrations in 3D histology reconstruction JE Iglesias, M Lorenzi, S Ferraris, L Peter, M Modat, A Stevens, B Fischl, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 2 | 2018 |
| Pruning strategies for efficient online globally consistent mosaicking in fetoscopy M Tella-Amo, L Peter, DI Shakir, J Deprest, D Stoyanov, T Vercauteren, ... Journal of Medical Imaging 6 (3), 035001, 2019 | 1 | 2019 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
