Ricardo Guerrero
Ricardo Guerrero
Samsung AI Cambridge
Verified email at samsung.com
TitleCited byYear
Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation
O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ...
IEEE transactions on medical imaging 37 (2), 384-395, 2017
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
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
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
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
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
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
Validation of the mind excessively wandering scale and the relationship of mind wandering to impairment in adult ADHD
FD Mowlem, C Skirrow, P Reid, S Maltezos, SK Nijjar, A Merwood, ...
Journal of attention disorders 23 (6), 624-634, 2019
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
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
Nonlinear composite filter performance
RE Guerrero-Moreno, J Álvarez-Borrego
Optical Engineering 48 (6), 067201, 2009
Instantiated mixed effects modeling of Alzheimer's disease markers
R Guerrero, A Schmidt-Richberg, C Ledig, T Tong, R Wolz, D Rueckert, ...
NeuroImage, 2016
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
Multi-stage biomarker models for progression estimation in Alzheimer’s disease
A Schmidt-Richberg, R Guerrero, C Ledig, H Molina-Abril, AF Frangi, ...
International Conference on Information Processing in Medical Imaging, 387-398, 2015
Laplacian eigenmaps manifold learning for landmark localization in brain MR images
R Guerrero, R Wolz, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2011
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), 1-16, 2018
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