Research Staff

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University College London,
818 Malet Place Engineering Building
Malet Place
London
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Miscellaneous Information

Research interests

 

My research interests include mathematical models and machine learning techniques applied to computer vision and medical imaging applications. Before joining the group as a research associate in February 2017, I received a French engineering degree from the Ecole Centrale Paris in 2011 and a Master of Science from the Ecole Normale Superieure de Cachan in applied mathematics. I was a PhD candidate from 2012 to 2016 at the Technical University of Munich under the supervision of Prof. Nassir Navab. During my doctoral studies, I focused on the design of interactive and adaptive approaches facilitating the integration of learned models in the clinical workflow. The contributions of the thesis included an interactive tool based on decision forests to assist the screening of large digital slides in histopathology, as well as hands-free interactive techniques for image segmentation.

 

Publications

 

J. E. Iglesias, M. Lorenzi, S. Ferraris, L. Peter, M. Modat, A. Stevens, B. Fischl, T. Vercauteren
Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2018
PDF

L. Peter, M. Tella-Amo, D. I. Shakir, G. Attilakos, R. Wimalasundera, J. Deprest, S. Ourselin, T. Vercauteren
Retrieval and Registration of Long-Range Overlapping Frames for Scalable Mosaicking of In Vivo Fetoscopy
International Journal of Computer Assisted Radiology and Surgery, 2018
PDF

M. Tella-Amo, L. Peter, D. I. Shakir, J. Deprest, D. Stoyanov, J. E. Iglesias, T. Vercauteren, S. Ourselin
Probabilistic Visual and Electromagnetic Data Fusion for Robust Drift-Free Sequential Mosaicking: Application to Fetoscopy
Journal of Medical Imaging, 2018

L. Peter
Automating and Assisting Image Segmentation With Decision Forests
PhD Thesis, 2017
PDF

M. Bieth, L. Peter, S. G. Nekolla, M. Eiber, G. Langs, M. Schwaiger, B. Menze
Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration
IEEE Transactions on Medical Imaging, 2017
PDF

B. Gutiérrez-Becker, L. Peter, T. Klein, C. Wachinger
A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2017

B. Gutiérrez-Becker, D. Mateus, L. Peter, N. Navab
Guiding Multimodal Registration with Learned Optimization Updates
Medical Image Analysis, 2017

L. Peter, D. Mateus, P. Chatelain, D. Declara, N. Schworm, S. Stangl, G. Multhoff, N. Navab
Assisting the Examination of Large Histopathological Slides with Adaptive Forests
Medical Image Analysis, 2017
PDF

F. Dubost, L. Peter, C. Rupprecht, B. Gutiérrez-Becker, N. Navab
Hands-Free Segmentation of Medical Volumes via Binary Inputs
International MICCAI Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2016
PDF

B. Gutiérrez-Becker, D. Mateus, L. Peter, N. Navab
Learning Optimization Updates for Multimodal Registration
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016

S. Conjeti, A. Katouzian, A. G. Roy, L. Peter, D. Sheet, S. Carlier, A. Laine, N. Navab
Supervised Domain Adaptation of Decision Forests: Transfer of Models Trained In Vitro for In Vivo Intravascular Ultrasound Tissue Characterization
Medical Image Analysis, 2016

C. Rupprecht, L. Peter, N. Navab
Image Segmentation in Twenty Questions
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
PDF

L. Peter, O. Pauly, P. Chatelain, D. Mateus, N. Navab
Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2015
PDF

R. Stauder, A. I. Okur, L. Peter, A. Schneider, M. Kranzfelder, H. Feussner, N. Navab
Random Forests for Phase Detection in Surgical Workflow Analysis
International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), 2014

L. Peter, D. Mateus, P. Chatelain, N. Schworm, S. Stangl, G. Multhoff, N. Navab
Leveraging Random Forests for Interactive Exploration of Large Histological Images
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2014 (Oral Presentation)
PDF

D. Kuipers, A. Mehonic, M. Kajita, L. Peter, Y. Fujita, T. Duke, G. T. Charras, J. E. Gale
Epithelial Repair Is a Two-Stage Process Driven First by Dying Cells and then by their Neighbours
Journal of Cell Science, 2014

P. Chatelain, O. Pauly, L. Peter, S-A. Ahmadi, A. Plate, K. Bötzel, N. Navab
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2013

L. Peter, O. Pauly, S. B. G. Jansen, P. A. Smethurst, W. H. Ouwehand, N. Navab
Automatic Event Detection within Thrombus Formation Based on Integer Programming
International MICCAI Workshop on Medical Computer Vision, 2012

L. Peter, N. Brieu, S. B. G. Jansen, P. A. Smethurst, W. H. Ouwehand, N. Navab
Automatic Segmentation and Tracking of Thrombus Formation within In Vitro Microscopic Video Sequences
IEEE International Symposium on Biomedical Imaging (ISBI), 2012

A. R. Harris, L. Peter, J. Bellis, B. Baum, A. J. Kabla, G. T. Charras
Characterizing the Mechanics of Cultured Cell Monolayers
Proceedings of the National Academy of Sciences, 2012