| 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 | 384 | 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, ... Journal of cell science 127 (6), 1229-1241, 2014 | 150 | 2014 |
| Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ... | 117* | 2016 |
| Random forests for phase detection in surgical workflow analysis R Stauder, A Okur, L Peter, A Schneider, M Kranzfelder, H Feussner, ... Information Processing in Computer-Assisted Interventions: 5th International …, 2014 | 76 | 2014 |
| Image segmentation in twenty questions C Rupprecht, L Peter, N Navab Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 34 | 2015 |
| A multimodal computational pipeline for 3D histology of the human brain M Mancini, A Casamitjana, L Peter, E Robinson, S Crampsie, DL Thomas, ... Scientific reports 10 (1), 13839, 2020 | 32 | 2020 |
| 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 | 28 | 2018 |
| 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, 713-720, 2018 | 27 | 2018 |
| 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 | 27 | 2016 |
| Guiding multimodal registration with learned optimization updates B Gutierrez-Becker, D Mateus, L Peter, N Navab Medical image analysis 41, 2-17, 2017 | 26 | 2017 |
| 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 | 25 | 2017 |
| Learning optimization updates for multimodal registration B Gutiérrez-Becker, D Mateus, L Peter, N Navab Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 24 | 2016 |
| Scale-adaptive forest training via an efficient feature sampling scheme L Peter, O Pauly, P Chatelain, D Mateus, N Navab Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 24 | 2015 |
| Leveraging random forests for interactive exploration of large histological images L Peter, D Mateus, P Chatelain, N Schworm, S Stangl, G Multhoff, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 23 | 2014 |
| 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), 021217-021217, 2018 | 18 | 2018 |
| 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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 16 | 2013 |
| 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), 035001-035001, 2019 | 15 | 2019 |
| A multi-armed bandit to smartly select a training set from big medical data B Gutiérrez, L Peter, T Klein, C Wachinger Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 13 | 2017 |
| Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length A Atzeni, L Peter, E Robinson, E Blackburn, J Althonayan, DC Alexander, ... Medical Image Analysis 81, 102549, 2022 | 12 | 2022 |
| 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 | 12 | 2015 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenПотвърден имейл адрес: cs.tum.edu
