Loïc Peter - RankMe

31 papers A* 1Journal 17Unranked 11

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length. Medical Image Anal. Alessia Atzeni, Loïc Peter, Eleanor D. Robinson, Emily Blackburn, Juri Althonayan, Daniel C. Alexander, Juan Eugenio Iglesias
2022	J	`jnl`	Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. Medical Image Anal. Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias
2021	J	`jnl`	Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. CoRR Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias
2021	J	`jnl`	Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. CoRR Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias
2021	J	`jnl`	Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. IEEE Trans. Medical Imaging Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias
2020	J	`jnl`	Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications. CoRR Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, Jan Deprest, Sébastien Ourselin, Juan Eugenio Iglesias, Tom Vercauteren
2018	—	`—`	Automating and Assisting Image Segmentation with Decision Forests (Automatierte und Assistierte Bildsegmentierung mit Random Forests) Loïc Peter
2018	J	`jnl`	Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. CoRR Juan Eugenio Iglesias, Marc Modat, Loïc Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed S. Lein, Bruce Fischl, Sébastien Ourselin
2018	J	`jnl`	Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. Medical Image Anal. Juan Eugenio Iglesias, Marc Modat, Loïc Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed S. Lein, Bruce Fischl, Sébastien Ourselin
2018	—	`conf`	Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. MICCAI (2) Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren
2018	J	`jnl`	Retrieval and Registration of Long-Range Overlapping Frames for Scalable Mosaicking of In Vivo Fetoscopy. CoRR Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, George Attilakos, Ruwan Wimalasundera, Jan Deprest, Sébastien Ourselin, Tom Vercauteren
2018	J	`jnl`	Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy. Int. J. Comput. Assist. Radiol. Surg. Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, George Attilakos, Ruwan Wimalasundera, Jan Deprest, Sébastien Ourselin, Tom Vercauteren
2018	—	`conf`	Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopy. Image-Guided Procedures Marcel Tella-Amo, Loïc Peter, Dzhoshkun I. Shakir, Jan Deprest, Danail Stoyanov, Juan Eugenio Iglesias, Tom Vercauteren, Sébastien Ourselin
2017	J	`jnl`	A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data. CoRR Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger
2017	—	`conf`	A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data. MICCAI (3) Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger
2017	J	`jnl`	Assisting the examination of large histopathological slides with adaptive forests. Medical Image Anal. Loïc Peter, Diana Mateus, Pierre Chatelain, Denis Declara, Noemi Schworm, Stefan Stangl, Gabriele Multhoff, Nassir Navab
2017	J	`jnl`	Guiding multimodal registration with learned optimization updates. Medical Image Anal. Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab
2017	J	`jnl`	Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration. IEEE Trans. Medical Imaging Marie Bieth, Loïc Peter, Stephan G. Nekolla, Matthias Eiber, Georg Langs, Markus Schwaiger, Bjoern H. Menze
2016	—	`ed.`	Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings LABELS/DLMIA@MICCAI Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise
2016	—	`conf`	Hands-Free Segmentation of Medical Volumes via Binary Inputs. LABELS/DLMIA@MICCAI Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab
2016	J	`jnl`	Hands-Free Segmentation of Medical Volumes via Binary Inputs. CoRR Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab
2016	—	`conf`	Learning Optimization Updates for Multimodal Registration. MICCAI (3) Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab
2016	J	`jnl`	Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Anal. Sailesh Conjeti, Amin Katouzian, Abhijit Guha Roy, Loïc Peter, Debdoot Sheet, Stéphane G. Carlier, Andrew Laine, Nassir Navab
2015	A*	`conf`	Image segmentation in Twenty Questions. CVPR Christian Rupprecht, Loïc Peter, Nassir Navab
2015	—	`conf`	Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme. MICCAI (1) Loïc Peter, Olivier Pauly, Pierre Chatelain, Diana Mateus, Nassir Navab
2015	J	`jnl`	Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests. CoRR Kanishka Sharma, Loïc Peter, Christian Rupprecht, Anna Caroli, Lichao Wang, Andrea Remuzzi, Maximilian Baust, Nassir Navab
2014	—	`conf`	Leveraging Random Forests for Interactive Exploration of Large Histological Images. MICCAI (1) Loïc Peter, Diana Mateus, Pierre Chatelain, Noemi Schworm, Stefan Stangl, Gabriele Multhoff, Nassir Navab
2014	—	`conf`	Random Forests for Phase Detection in Surgical Workflow Analysis. IPCAI Ralf Stauder, Asli Okur, Loïc Peter, Armin Schneider, Michael Kranzfelder, Hubertus Feußner, Nassir Navab
2013	—	`conf`	Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound. MICCAI (2) Pierre Chatelain, Olivier Pauly, Loïc Peter, Seyed-Ahmad Ahmadi, Annika Plate, Kai Bötzel, Nassir Navab
2012	—	`conf`	Automatic Event Detection within Thrombus Formation Based on Integer Programming. MCV Loïc Peter, Olivier Pauly, Sjoert B. G. Jansen, Peter A. Smethurst, Willem H. Ouwehand, Nassir Navab
2012	—	`conf`	Automatic segmentation and tracking of thrombus formation within in vitro microscopic video sequences. ISBI Loïc Peter, Nicolas Brieu, Sjoert B. G. Jansen, Peter A. Smethurst, Willem H. Ouwehand, Nassir Navab