Ricardo Guerrero
Ricardo Guerrero
Samsung AI Center - Cambridge
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Cited by
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Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation
O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ...
arXiv preprint arXiv:1705.08302v3, 2017
Gan augmentation: Augmenting training data using generative adversarial networks
C Bowles, L Chen, R Guerrero, P Bentley, R Gunn, A Hammers, ...
arXiv preprint arXiv:1810.10863, 2018
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
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
Multi-Input Cardiac Image Super-Resolution using Convolutional Neural Networks
O Oktay, W Bai, M Lee, R Guerrero, K Kamnitsas, J Caballero, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016, 2016
Spectral Graph Convolutions on Population Graphs for 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
White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks
R Guerrero, C Qin, O Oktay, C Bowles, L Chen, R Joules, R Wolz, ...
NeuroImage: Clinical, 2017
Multiple instance learning for classification of dementia in brain MRI
T Tong, R Wolz, Q Gao, R Guerrero, JV Hajnal, D Rueckert, ...
Medical image analysis 18 (5), 808-818, 2014
Differential diagnosis of neurodegenerative diseases using structural MRI data
J Koikkalainen, H Rhodius-Meester, A Tolonen, F Barkhof, B Tijms, ...
NeuroImage: Clinical 11, 435-449, 2016
Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry database
C Ledig, A Schuh, R Guerrero, RA Heckemann, D Rueckert
Scientific reports 8 (1), 11258, 2018
A Novel Grading Biomarker for the Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Disease
T Tong, Q Gao, R Guerrero, C Ledig, L Chen, D Rueckert
Transactions on Biomedical Engineering, 2016
Stratified decision forests for accurate anatomical landmark localization in cardiac images
O Oktay, W Bai, R Guerrero, M Rajchl, A De Marvao, DP O’Regan, ...
IEEE transactions on medical imaging 36 (1), 332-342, 2016
Automatic view planning with multi-scale deep reinforcement learning agents
A Alansary, LL Folgoc, G Vaillant, O Oktay, Y Li, W Bai, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Brain lesion segmentation through image synthesis and outlier detection
C Bowles, C Qin, R Guerrero, R Gunn, A Hammers, DA Dickie, ...
NeuroImage: Clinical 16, 643-658, 2017
Instantiated mixed effects modeling of Alzheimer's disease markers
R Guerrero, A Schmidt-Richberg, C Ledig, T Tong, R Wolz, D Rueckert, ...
NeuroImage, 2016
Manifold population modeling as a neuro-imaging biomarker: application to ADNI and ADNI-GO
R Guerrero, R Wolz, AW Rao, D Rueckert, ...
NeuroImage 94, 275-286, 2014
Manifold alignment and transfer learning for classification of Alzheimer’s disease
R Guerrero, C Ledig, D Rueckert
International Workshop on Machine Learning in Medical Imaging, 77-84, 2014
Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting
T Tong, C Ledig, R Guerrero, A Schuh, J Koikkalainen, A Tolonen, ...
NeuroImage: Clinical 15, 613-624, 2017
Learning Biomarker Models for Progression Estimation of Alzheimer’s Disease
A Schmidt-Richberg, C Ledig, R Guerrero, H Molina-Abril, A Frangi, ...
PLOSOne 11 (4), e0153040, 2016
Pseudo-healthy image synthesis for white matter lesion segmentation
C Bowles, C Qin, C Ledig, R Guerrero, R Gunn, A Hammers, E Sakka, ...
Simulation and Synthesis in Medical Imaging: First International Workshop …, 2016
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