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Sarah Parisot
Sarah Parisot
Verified email at imperial.ac.uk
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A continual learning survey: Defying forgetting in classification tasks
M De Lange, R Aljundi, M Masana, S Parisot, X Jia, A Leonardis, ...
IEEE transactions on pattern analysis and machine intelligence 44 (7), 3366-3385, 2021
1629*2021
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
5132018
DeepMedic for brain tumor segmentation
K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
3752016
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
3422018
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
3042018
Learning conditioned graph structures for interpretable visual question answering
W Norcliffe-Brown, S Vafeias, S Parisot
Advances in neural information processing systems 31, 2018
2712018
Spectral graph convolutions for population-based disease prediction
S Parisot, SI Ktena, E Ferrante, M Lee, RG Moreno, B Glocker, D Rueckert
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
2372017
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
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
2052017
Deeplpf: Deep local parametric filters for image enhancement
S Moran, P Marza, S McDonagh, S Parisot, G Slabaugh
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1772020
More classifiers, less forgetting: A generic multi-classifier paradigm for incremental learning
Y Liu, S Parisot, G Slabaugh, X Jia, A Leonardis, T Tuytelaars
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
852020
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
842012
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
652014
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
542011
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
532016
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
482012
A multi-hypothesis approach to color constancy
D Hernandez-Juarez, S Parisot, B Busam, A Leonardis, G Slabaugh, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
462020
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
412016
Low light video enhancement using synthetic data produced with an intermediate domain mapping
D Triantafyllidou, S Moran, S McDonagh, S Parisot, G Slabaugh
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
322020
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
322015
Graph based spatial position mapping of low-grade gliomas
S Parisot, H Duffau, S Chemouny, N Paragios
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
312011
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Articles 1–20