Automatic segmentation and tracking of thrombus formation within in vitro microscopic video sequences. - Loïc Peter; Nicolas Brieu; Sjoert B. G. Jansen; Peter A. Smethurst; Willem H. Ouwehand; Nassir Navab (ISBI, 2012)

Automatic Event Detection within Thrombus Formation Based on Integer Programming. - Loïc Peter; Olivier Pauly; Sjoert B. G. Jansen; Peter A. Smethurst; Willem H. Ouwehand; Nassir Navab (MCV, 2012)

Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound. - Pierre Chatelain; Olivier Pauly; Loïc Peter; Seyed-Ahmad Ahmadi; Annika Plate; Kai Bötzel; Nassir Navab (MICCAI (2), 2013)

Random Forests for Phase Detection in Surgical Workflow Analysis. - Ralf Stauder; Asli Okur; Loïc Peter; Armin Schneider; Michael Kranzfelder; Hubertus Feußner; Nassir Navab (IPCAI, 2014)

Leveraging Random Forests for Interactive Exploration of Large Histological Images. - Loïc Peter; Diana Mateus; Pierre Chatelain; Noemi Schworm; Stefan Stangl; Gabriele Multhoff; Nassir Navab (MICCAI (1), 2014)

Image segmentation in Twenty Questions. - Christian Rupprecht 001; Loïc Peter; Nassir Navab (CVPR, 2015)

Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme. - Loïc Peter; Olivier Pauly; Pierre Chatelain; Diana Mateus; Nassir Navab (MICCAI (1), 2015)

Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests. - Kanishka Sharma; Loïc Peter; Christian Rupprecht 001; Anna Caroli; Lichao Wang; Andrea Remuzzi; Maximilian Baust; Nassir Navab (CoRR, 2015)

Hands-Free Segmentation of Medical Volumes via Binary Inputs. - Florian Dubost; Loïc Peter; Christian Rupprecht 001; Benjamín Gutiérrez-Becker; Nassir Navab (LABELS/DLMIA@MICCAI, 2016)

Learning Optimization Updates for Multimodal Registration. - Benjamín Gutiérrez-Becker; Diana Mateus; Loïc Peter; Nassir Navab (MICCAI (3), 2016)

Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. - Sailesh Conjeti; Amin Katouzian; Abhijit Guha Roy; Loïc Peter; Debdoot Sheet; Stéphane G. Carlier; Andrew Laine; Nassir Navab (Medical Image Anal., 2016)

A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data. - Benjamín Gutiérrez; Loïc Peter; Tassilo Klein; Christian Wachinger (MICCAI (3), 2017)

Guiding multimodal registration with learned optimization updates. - Benjamín Gutiérrez-Becker; Diana Mateus; Loïc Peter; Nassir Navab (Medical Image Anal., 2017)

Assisting the examination of large histopathological slides with adaptive forests. - Loïc Peter; Diana Mateus; Pierre Chatelain; Denis Declara; Noemi Schworm; Stefan Stangl; Gabriele Multhoff; Nassir Navab (Medical Image Anal., 2017)

Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration. - Marie Bieth; Loïc Peter; Stephan G. Nekolla; Matthias Eiber; Georg Langs; Markus Schwaiger; Bjoern H. Menze (IEEE Trans. Medical Imaging, 2017)

Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. - Juan Eugenio Iglesias; Marco Lorenzi; Sebastiano Ferraris; Loïc Peter; Marc Modat; Allison Stevens; Bruce Fischl; Tom Vercauteren (MICCAI (2), 2018)

Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopy. - Marcel Tella-Amo; Loïc Peter; Dzhoshkun I. Shakir; Jan Deprest; Danail Stoyanov; Juan Eugenio Iglesias; Tom Vercauteren; Sébastien Ourselin (Image-Guided Procedures, 2018)

Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy. - Loïc Peter; Marcel Tella-Amo; Dzhoshkun Ismail Shakir; George Attilakos; Ruwan Wimalasundera; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2018)

Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. - Juan Eugenio Iglesias; Marc Modat; Loïc Peter; Allison Stevens; Roberto Annunziata; Tom Vercauteren; Ed S. Lein; Bruce Fischl; Sébastien Ourselin (Medical Image Anal., 2018)

Automating and Assisting Image Segmentation with Decision Forests (Automatierte und Assistierte Bildsegmentierung mit Random Forests) - Loïc Peter (2018)

Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications. - Loïc Peter; Marcel Tella-Amo; Dzhoshkun Ismail Shakir; Jan Deprest; Sébastien Ourselin; Juan Eugenio Iglesias; Tom Vercauteren (CoRR, 2020)

Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. - Loïc Peter; Daniel C. Alexander; Caroline Magnain; Juan Eugenio Iglesias (IEEE Trans. Medical Imaging, 2021)

Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length. - Alessia Atzeni; Loïc Peter; Eleanor D. Robinson; Emily Blackburn; Juri Althonayan; Daniel C. Alexander; Juan Eugenio Iglesias (Medical Image Anal., 2022)

Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. - Adrià Casamitjana; Marco Lorenzi; Sebastiano Ferraris; Loïc Peter; Marc Modat; Allison Stevens; Bruce Fischl; Tom Vercauteren; Juan Eugenio Iglesias (Medical Image Anal., 2022)