|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
|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
|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
|Image segmentation in twenty questions|
C Rupprecht, L Peter, N Navab
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
|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
|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
|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
|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, ...
|Guiding multimodal registration with learned optimization updates|
B Gutierrez-Becker, D Mateus, L Peter, N Navab
Medical image analysis 41, 2-17, 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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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