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2020 – today
- 2022
[j9]Adrià Casamitjana
, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias:
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. Medical Image Anal. 75: 102265 (2022)- [j8]Alessia Atzeni, Loïc Peter, Eleanor D. Robinson, Emily Blackburn, Juri Althonayan, Daniel C. Alexander, Juan Eugenio Iglesias:
Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length. Medical Image Anal. 81: 102549 (2022) - 2021
- [j7]Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias:
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. IEEE Trans. Medical Imaging 40(8): 2053-2065 (2021) - [i8]Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias:
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. CoRR abs/2104.01217 (2021) - [i7]Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias:
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. CoRR abs/2104.14873 (2021) - 2020
- [i6]Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, Jan Deprest, Sébastien Ourselin, Juan Eugenio Iglesias, Tom Vercauteren:
Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications. CoRR abs/2012.15343 (2020)
2010 – 2019
- 2018
- [b1]Loïc Peter:
Automating and Assisting Image Segmentation with Decision Forests (Automatierte und Assistierte Bildsegmentierung mit Random Forests). Technical University of Munich, Germany, 2018 - [j6]Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, George Attilakos, Ruwan Wimalasundera, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy. Int. J. Comput. Assist. Radiol. Surg. 13(5): 713-720 (2018) - [j5]Juan Eugenio Iglesias, Marc Modat, Loïc Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed S. Lein, Bruce Fischl, Sébastien Ourselin:
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. Medical Image Anal. 50: 127-144 (2018) - [c12]Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren:
Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. MICCAI (2) 2018: 147-155 - [c11]Marcel Tella-Amo, Loïc Peter, Dzhoshkun I. Shakir, Jan Deprest, Danail Stoyanov, Juan Eugenio Iglesias, Tom Vercauteren, Sébastien Ourselin:
Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopy. Medical Imaging: Image-Guided Procedures 2018: 105760I - [i5]Juan Eugenio Iglesias, Marc Modat, Loïc Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed S. Lein, Bruce Fischl, Sébastien Ourselin:
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. CoRR abs/1801.05284 (2018) - [i4]Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, George Attilakos, Ruwan Wimalasundera, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Retrieval and Registration of Long-Range Overlapping Frames for Scalable Mosaicking of In Vivo Fetoscopy. CoRR abs/1802.10554 (2018) - 2017
- [j4]Loïc Peter, Diana Mateus, Pierre Chatelain, Denis Declara, Noemi Schworm, Stefan Stangl, Gabriele Multhoff, Nassir Navab:
Assisting the examination of large histopathological slides with adaptive forests. Medical Image Anal. 35: 655-668 (2017) - [j3]Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab:
Guiding multimodal registration with learned optimization updates. Medical Image Anal. 41: 2-17 (2017) - [j2]Marie Bieth, Loïc Peter, Stephan G. Nekolla, Matthias Eiber, Georg Langs, Markus Schwaiger, Bjoern H. Menze:
Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration. IEEE Trans. Medical Imaging 36(11): 2276-2286 (2017) - [c10]Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger:
A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data. MICCAI (3) 2017: 38-45 - [i3]Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger:
A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data. CoRR abs/1705.08111 (2017) - 2016
- [j1]Sailesh Conjeti, Amin Katouzian, Abhijit Guha Roy, Loïc Peter, Debdoot Sheet, Stéphane G. Carlier, Andrew Laine, Nassir Navab:
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Anal. 32: 1-17 (2016) - [c9]Benjamín Gutiérrez-Becker, Diana Mateus, Loïc Peter, Nassir Navab:
Learning Optimization Updates for Multimodal Registration. MICCAI (3) 2016: 19-27 - [c8]Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab:
Hands-Free Segmentation of Medical Volumes via Binary Inputs. LABELS/DLMIA@MICCAI 2016: 259-268 - [e1]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:
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. Lecture Notes in Computer Science 10008, 2016, ISBN 978-3-319-46975-1 [contents] - [i2]Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab:
Hands-Free Segmentation of Medical Volumes via Binary Inputs. CoRR abs/1609.06192 (2016) - 2015
- [c7]Christian Rupprecht, Loïc Peter, Nassir Navab:
Image segmentation in Twenty Questions. CVPR 2015: 3314-3322 - [c6]Loïc Peter, Olivier Pauly, Pierre Chatelain, Diana Mateus, Nassir Navab:
Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme. MICCAI (1) 2015: 637-644 - [i1]Kanishka Sharma, Loïc Peter, Christian Rupprecht, Anna Caroli, Lichao Wang, Andrea Remuzzi, Maximilian Baust, Nassir Navab:
Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests. CoRR abs/1510.06915 (2015) - 2014
- [c5]Ralf Stauder, Asli Okur, Loïc Peter, Armin Schneider, Michael Kranzfelder, Hubertus Feußner, Nassir Navab:
Random Forests for Phase Detection in Surgical Workflow Analysis. IPCAI 2014: 148-157 - [c4]Loïc Peter, Diana Mateus, Pierre Chatelain, Noemi Schworm, Stefan Stangl, Gabriele Multhoff, Nassir Navab:
Leveraging Random Forests for Interactive Exploration of Large Histological Images. MICCAI (1) 2014: 1-8 - 2013
- [c3]Pierre Chatelain, Olivier Pauly, Loïc Peter, Seyed-Ahmad Ahmadi, Annika Plate, Kai Bötzel, Nassir Navab:
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound. MICCAI (2) 2013: 230-237 - 2012
- [c2]Loïc Peter, Nicolas Brieu, Sjoert B. G. Jansen, Peter A. Smethurst, Willem H. Ouwehand, Nassir Navab:
Automatic segmentation and tracking of thrombus formation within in vitro microscopic video sequences. ISBI 2012: 1635-1638 - [c1]Loïc Peter, Olivier Pauly, Sjoert B. G. Jansen, Peter A. Smethurst, Willem H. Ouwehand, Nassir Navab:
Automatic Event Detection within Thrombus Formation Based on Integer Programming. MCV 2012: 215-224
Coauthor Index
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