Loïc Peter

Orcid: 0000-0002-8293-5330

According to our database1, Loïc Peter authored at least 24 papers between 2012 and 2022.

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Bibliography

2022
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas.
Medical Image Anal., 2022

Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length.
Medical Image Anal., 2022

2021
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms.
IEEE Trans. Medical Imaging, 2021

2020
Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications.
CoRR, 2020

2018
Automating and Assisting Image Segmentation with Decision Forests (Automatierte und Assistierte Bildsegmentierung mit Random Forests)
PhD thesis, 2018

Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections.
Medical Image Anal., 2018

Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy.
Int. J. Comput. Assist. Radiol. Surg., 2018

Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopy.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration.
IEEE Trans. Medical Imaging, 2017

Assisting the examination of large histopathological slides with adaptive forests.
Medical Image Anal., 2017

Guiding multimodal registration with learned optimization updates.
Medical Image Anal., 2017

A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization.
Medical Image Anal., 2016

Learning Optimization Updates for Multimodal Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Hands-Free Segmentation of Medical Volumes via Binary Inputs.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2015
Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests.
CoRR, 2015

Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Image segmentation in Twenty Questions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Leveraging Random Forests for Interactive Exploration of Large Histological Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Random Forests for Phase Detection in Surgical Workflow Analysis.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2014

2013
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Automatic Event Detection within Thrombus Formation Based on Integer Programming.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Automatic segmentation and tracking of thrombus formation within in vitro microscopic video sequences.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012


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