Sarah Parisot

According to our database1, Sarah Parisot authored at least 34 papers between 2011 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Continual learning: A comparative study on how to defy forgetting in classification tasks.
CoRR, 2019

2018
Metric learning with spectral graph convolutions on brain connectivity networks.
NeuroImage, 2018

Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex.
NeuroImage, 2018

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical Image Analysis, 2018

Meta-Learning for Few-shot Camera-Adaptive Color Constancy.
CoRR, 2018

Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors.
CoRR, 2018

Learning Conditioned Graph Structures for Interpretable Visual Question Answering.
CoRR, 2018

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.
CoRR, 2018

Learning Conditioned Graph Structures for Interpretable Visual Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors.
Proceedings of the Shape in Medical Imaging, 2018

2017
A flexible graphical model for multi-modal parcellation of the cortex.
NeuroImage, 2017

Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System.
Front. Neuroinform., 2017

Spectral Graph Convolutions for Population-based Disease Prediction.
CoRR, 2017

Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks.
CoRR, 2017

Exploring Heritability of Functional Brain Networks with Inexact Graph Matching.
CoRR, 2017

Spectral Graph Convolutions for Population-Based Disease Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Exploring heritability of functional brain networks with inexact graph matching.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Group-wise parcellation of the cortex through multi-scale spectral clustering.
NeuroImage, 2016

(Hyper)-graphical models in biomedical image analysis.
Medical Image Analysis, 2016

Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016.
CoRR, 2016

Comparison of Brain Networks with Unknown Correspondences.
CoRR, 2016

GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

DeepMedic for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex.
Proceedings of the Information Processing in Medical Imaging, 2015

Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs.
Medical Image Analysis, 2014

2013
Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Graph-based detection, segmentation & characterization of brain tumors.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Graph Based Spatial Position Mapping of Low-Grade Gliomas.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011


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