Loic Peter
Loic Peter
Research Associate, University College London
Bestätigte E-Mail-Adresse bei ucl.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2422012
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
1082014
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
532014
Deep learning and data labeling for medical applications
G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ...
362016
Image segmentation in twenty questions
C Rupprecht, L Peter, N Navab
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
312015
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
232016
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
212015
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
192016
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
192014
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
152018
Guiding multimodal registration with learned optimization updates
B Gutierrez-Becker, D Mateus, L Peter, N Navab
Medical image analysis 41, 2-17, 2017
152017
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
152013
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
142018
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
132017
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
112016
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
102018
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), 1-21, 2020
92020
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
92019
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
92015
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
82016
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