Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Loïc Peter


Phone: +49 89 289 19437
Address: Technische Universität München
Fakultät für Informatik, I-16
Boltzmannstr. 3
85748 Garching b. München
Room: MI 03.13.043

Since February 2017, I have joined the Translational Imaging Group at University College London.

Research interests

  • Machine Learning for Computer Vision and Medical Image Analysis
  • Semantic Image Segmentation
  • Decision Forests
  • Active Learning
  • Domain Adaptation / Transfer Learning


2010- 2011 Master of Science MVA, Ecole Normale Supérieure de Cachan, France
Mathematics, Computer vision, Machine learning
2007 - 2011 Engineering degree, Ecole Centrale Paris, France
Major in applied mathematics
2004 - 2007 Lycée Condorcet, Paris, France.
Post-secondary school, advanced math and physics for admission to French engineering schools


M. Bieth, L. Peter, S. 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 (bib)
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, Vol. 35, January 2017 (bib)
F. Dubost, L. Peter, C. Rupprecht, B. Gutierrez-Becker, N. Navab
Hands-Free Segmentation of Medical Volumes via Binary Inputs
MICCAI Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, Athens, Greece, October 2016 (bib)
B. Gutierrez-Becker, D. Mateus, L. Peter, N. Navab
Learning Optimization Updates for Multimodal Registration
Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib)
S. Conjeti, A. Katouzian, A. Guha 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 (bib)
L. Peter, O. Pauly, P. Chatelain, D. Mateus, N. Navab
Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme
Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Munich, Germany, October 2015 (bib)
C. Rupprecht, L. Peter, N. Navab
Image Segmentation in Twenty Questions
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts (USA), June 2015 (bib)
L. Peter, D. Mateus, P. Chatelain, N. Schworm, S. Stangl, G. Multhoff, N. Navab
Leveraging Random Forests for Interactive Exploration of Large Histological Images
Proceedings of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, Massachusetts, United States, September 2014 (bib)
R. Stauder, A. Okur, L. Peter, A. Schneider, M. Kranzfelder, H. Feußner, N. Navab
Random Forests for Phase Detection in Surgical Workflow Analysis
The 5th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Fukuoka, Japan, June 2014 (bib)
D. Kuipers, A. Mehonic, M. Kajita, L. Peter, Y. Fujita, T. Duke, G. Charras, J. Gale
Epithelial Repair is a Two-Stage Process Driven First by Dying Cells and then by their Neighbours
Journal of Cell Science, Vol. 127, March 2014 (bib)
P. Chatelain, O. Pauly, L. Peter, 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
Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan, September 2013 (bib)
A. Harris, L. Peter, J. Bellis, B. Baum, A. Kabla, G. Charras
Characterising the Mechanics of Cultured Cell Monolayers
Proceedings of the National Academy of Sciences (PNAS), Vol. 109, October 2012 (bib)
L. Peter, O. Pauly, S. Jansen, P. Smethurst, W. Ouwehand , N. Navab
Automatic Event Detection within Thrombus Formation Based on Binary Integer Programming
MICCAI Workshop on Medical Computer Vision, Nice, France, October 2012 (bib)
L. Peter, N. Brieu, S. Jansen, P. Smethurst, W. Ouwehand , N. Navab
Automatic Segmentation and Tracking of Thrombus Formation within In Vitro Microscopic Video Sequences
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2012), Barcelona, Spain, May 2 - 5, 2012 (bib)

Title: Dr.
Circumference of your head (in cm):  
Firstname: Loic
Lastname: Peter
Picture: IMG_0173-1.jpg
Birthday: 29.04.1987
Nationality: France
Languages: English, German, French
Groups: Segmentation, Machine Learning for Medical Applications, Microscopic Image Analysis
Expertise: Segmentation, Computer Vision
Position: Scientific Staff
Status: Alumni
Emailbefore: peter
Emailafter: in.tum.de
Room: MI 03.13.039
Telephone: +49 89 289 17071

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