Sarah Parisot
Sarah Parisot
Adresse e-mail validée de imperial.ac.uk
TitreCitée parAnnée
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex
S Arslan, SI Ktena, A Makropoulos, EC Robinson, D Rueckert, S Parisot
Neuroimage 170, 5-30, 2018
622018
DeepMedic for brain tumor segmentation
K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ...
International workshop on Brainlesion: Glioma, multiple sclerosis, stroke …, 2016
612016
Joint tumor segmentation and dense deformable registration of brain MR images
S Parisot, H Duffau, S Chemouny, N Paragios
International Conference on Medical Image Computing and Computer-Assisted …, 2012
522012
Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs
S Parisot, W Wells III, S Chemouny, H Duffau, N Paragios
Medical image analysis 18 (4), 647-659, 2014
382014
Estimation of intra-operator variability in perfusion parameter measurements using DCE-US
M Gauthier, I Leguerney, J Thalmensi, M Chebil, S Parisot, P Peronneau, ...
World journal of radiology 3 (3), 70, 2011
342011
Spectral graph convolutions for population-based disease prediction
S Parisot, SI Ktena, E Ferrante, M Lee, RG Moreno, B Glocker, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2017
322017
Graph-based detection, segmentation & characterization of brain tumors
S Parisot, H Duffau, S Chemouny, N Paragios
2012 IEEE Conference on Computer Vision and Pattern Recognition, 988-995, 2012
312012
Distance metric learning using graph convolutional networks: Application to functional brain networks
SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2017
282017
Graph based spatial position mapping of low-grade gliomas
S Parisot, H Duffau, S Chemouny, N Paragios
International Conference on Medical Image Computing and Computer-Assisted …, 2011
272011
A probabilistic atlas of diffuse WHO grade II glioma locations in the brain
S Parisot, A Darlix, C Baumann, S Zouaoui, Y Yordanova, M Blonski, ...
PloS one 11 (1), e0144200, 2016
232016
Group-wise parcellation of the cortex through multi-scale spectral clustering
S Parisot, S Arslan, J Passerat-Palmbach, WM Wells III, D Rueckert
NeuroImage 136, 68-83, 2016
222016
Joint spectral decomposition for the parcellation of the human cerebral cortex using resting-state fMRI
S Arslan, S Parisot, D Rueckert
International Conference on Information Processing in Medical Imaging, 85-97, 2015
182015
Metric learning with spectral graph convolutions on brain connectivity networks
SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert
NeuroImage 169, 431-442, 2018
162018
Tractography-driven groupwise multi-scale parcellation of the cortex
S Parisot, S Arslan, J Passerat-Palmbach, WM Wells, D Rueckert
International Conference on Information Processing in Medical Imaging, 600-612, 2015
132015
Uncertainty-driven efficiently-sampled sparse graphical models for concurrent tumor segmentation and atlas registration
S Parisot, W Wells, S Chemouny, H Duffau, N Paragios
Proceedings of the IEEE International Conference on Computer Vision, 641-648, 2013
122013
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
S Parisot, SI Ktena, E Ferrante, M Lee, R Guerrero, B Glocker, D Rueckert
Medical image analysis 48, 117-130, 2018
82018
GraMPa: Graph-based multi-modal parcellation of the cortex using fusion moves
S Parisot, B Glocker, MD Schirmer, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2016
82016
Beyond the AHA 17-segment model: motion-driven parcellation of the left ventricle
W Bai, D Peressutti, S Parisot, O Oktay, M Rajchl, D O’Regan, S Cook, ...
Statistical Atlases and Computational Models of the Heart, 13-20, 2015
72015
Deepmedic on brain tumor segmentation. Athens
K Kamnitsas, E Ferrante, S Parisot, C Ledig, A Nori, A Criminisi, ...
Greece Proc. BRATS-MICCAI, 2016
52016
Learning conditioned graph structures for interpretable visual question answering
W Norcliffe-Brown, S Vafeias, S Parisot
Advances in Neural Information Processing Systems, 8334-8343, 2018
42018
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