Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images. - Ricardo Guerrero; Robin Wolz; Daniel Rueckert (MICCAI (2), 2011)

Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities. - Ricardo Guerrero; Luis Pizarro; Robin Wolz; Daniel Rueckert (ISBI, 2012)

Automatic detection of coronary stent struts in intravascular OCT imaging. - Kai-Pin Tung; Wenzhe Shi; Luis Pizarro; Hiroto Tsujioka; Haiyan Wang 018; Ricardo Guerrero; Ranil De Silva; Philip Eddie Edwards; Daniel Rueckert (Computer-Aided Diagnosis, 2012)

Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative. - Ricardo Guerrero; Claire R. Donoghue; Luis Pizarro; Daniel Rueckert (MLMI, 2012)

Nonrigid free-form registration using landmark-based statistical deformation models. - Stefan Pszczólkowski; Luis Pizarro; Ricardo Guerrero; Daniel Rueckert (Image Processing, 2012)

Data-specific feature point descriptor matching using dictionary learning and graphical models. - Ricardo Guerrero; Daniel Rueckert (Image Processing, 2013)

Landmark localization, feature matching and biomarker discovery from magnetic resonance images. - Ricardo Guerrero Moreno (2013)

Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease. - Ricardo Guerrero; Christian Ledig; Daniel Rueckert (MLMI, 2014)

Multiple instance learning for classification of dementia in brain MRI. - Tong Tong 001; Robin Wolz; Qinquan Gao; Ricardo Guerrero; Joseph V. Hajnal; Daniel Rueckert (Medical Image Anal., 2014)

Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO. - Ricardo Guerrero; Robin Wolz; A. W. Rao; Daniel Rueckert (NeuroImage, 2014)

Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease. - Alexander Schmidt-Richberg; Ricardo Guerrero; Christian Ledig; Helena Molina-Abril; Alejandro F. Frangi; Daniel Rueckert (IPMI, 2015)

Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning. - Ricardo Guerrero; Christian Ledig; Alexander Schmidt-Richberg; Daniel Rueckert (MLMI, 2015)

Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. - Christopher Bowles; Chen Qin; Christian Ledig; Ricardo Guerrero; Roger N. Gunn; Alexander Hammers; Eleni Sakka; David Alexander Dickie; Maria del C. Valdés Hernández; Natalie A. Royle; Joanna M. Wardlaw; Hanneke Rhodius-Meester; et al. (SASHIMI@MICCAI, 2016)

Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. - Ozan Oktay; Wenjia Bai; Matthew C. H. Lee; Ricardo Guerrero; Konstantinos Kamnitsas; Jose Caballero; Antonio de Marvao; Stuart A. Cook; Declan P. O'Regan; Daniel Rueckert (MICCAI (3), 2016)

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. - Chen Qin; Ricardo Guerrero Moreno; Christopher Bowles; Christian Ledig; Philip Scheltens; Frederik Barkhof; Hanneke Rhodius-Meester; Betty M. Tijms; Afina W. Lemstra; Wiesje M. van der Flier; Ben Glocker; Daniel Rueckert (MLMI@MICCAI, 2016)

Instantiated mixed effects modeling of Alzheimer's disease markers. - Ricardo Guerrero; Alexander Schmidt-Richberg; Christian Ledig; Tong Tong 001; Robin Wolz; Daniel Rueckert (NeuroImage, 2016)

Spectral Graph Convolutions for Population-Based Disease Prediction. - Sarah Parisot; Sofia Ira Ktena; Enzo Ferrante; Matthew C. H. Lee; Ricardo Guerrero Moreno; Ben Glocker; Daniel Rueckert (MICCAI (3), 2017)

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. - Ozan Oktay; Enzo Ferrante; Konstantinos Kamnitsas; Mattias P. Heinrich; Wenjia Bai; Jose Caballero; Ricardo Guerrero; Stuart A. Cook; Antonio de Marvao; Timothy Dawes; Declan P. O'Regan; Bernhard Kainz; et al. (CoRR, 2017)

Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression. - Kelly Peterson; Ognjen Rudovic; Ricardo Guerrero; Rosalind W. Picard (CoRR, 2017)

Group-constrained manifold learning: Application to AD risk assessment. - Ricardo Guerrero; Christian Ledig; Alexander Schmidt-Richberg; Daniel Rueckert (Pattern Recognit., 2017)

A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease. - Tong Tong 001; Qinquan Gao; Ricardo Guerrero; Christian Ledig; Liang Chen 018; Daniel Rueckert (IEEE Trans. Biomed. Eng., 2017)

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images. - Ozan Oktay; Wenjia Bai; Ricardo Guerrero; Martin Rajchl; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Mattias P. Heinrich; Ben Glocker; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13). - Yuria Utsumi; Ognjen (Oggi) Rudovic; Kelly Peterson; Ricardo Guerrero; Rosalind W. Picard (EMBC, 2018)

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. - Amir Alansary; Loïc Le Folgoc; Ghislain Vaillant; Ozan Oktay; Yuanwei Li; Wenjia Bai; Jonathan Passerat-Palmbach; Ricardo Guerrero; Konstantinos Kamnitsas; Benjamin Hou; Steven McDonagh 001; Ben Glocker; et al. (MICCAI (1), 2018)

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease. - Sarah Parisot; Sofia Ira Ktena; Enzo Ferrante; Matthew Lee 010; Ricardo Guerrero; Ben Glocker; Daniel Rueckert (CoRR, 2018)

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. - Christopher Bowles; Liang Chen 018; Ricardo Guerrero; Paul Bentley; Roger N. Gunn; Alexander Hammers; David Alexander Dickie; Maria del C. Valdés Hernández; Joanna M. Wardlaw; Daniel Rueckert (CoRR, 2018)

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease. - Sarah Parisot; Sofia Ira Ktena; Enzo Ferrante; Matthew C. H. Lee; Ricardo Guerrero; Ben Glocker; Daniel Rueckert (Medical Image Anal., 2018)

A large margin algorithm for automated segmentation of white matter hyperintensity. - Chen Qin; Ricardo Guerrero; Christopher Bowles; Liang Chen 018; David Alexander Dickie; Maria del C. Valdés Hernández; Joanna M. Wardlaw; Daniel Rueckert (Pattern Recognit., 2018)

Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes. - Ognjen (Oggi) Rudovic; Yuria Utsumi; Ricardo Guerrero; Kelly Peterson; Daniel Rueckert; Rosalind W. Picard (MLHC, 2019)

Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. - Jiatong Li 001; Ricardo Guerrero; Vladimir Pavlovic 001 (MADiMa @ ACM Multimedia, 2019)

The Art of Food: Meal Image Synthesis from Ingredients. - Fangda Han; Ricardo Guerrero; Vladimir Pavlovic 001 (CoRR, 2019)

Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images. - Jiatong Li 001; Fangda Han; Ricardo Guerrero; Vladimir Pavlovic 001 (ICPR, 2020)

CookGAN: Meal Image Synthesis from Ingredients. - Fangda Han; Ricardo Guerrero; Vladimir Pavlovic 001 (WACV, 2020)

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images. - Muhammad Febrian Rachmadi; Maria del C. Valdés Hernández; Hongwei Li 004; Ricardo Guerrero; Rozanna Meijboom; Stewart Wiseman; Adam Waldman; Jianguo Zhang 001; Daniel Rueckert; Joanna M. Wardlaw; Taku Komura (Comput. Medical Imaging Graph., 2020)

Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. - Minyoung Kim 001; Ricardo Guerrero; Vladimir Pavlovic 001 (CoRR, 2020)

Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace. - Ricardo Guerrero; Hai Xuan Pham; Vladimir Pavlovic 001 (CoRR, 2020)

MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs. - Fangda Han; Guoyao Hao; Ricardo Guerrero; Vladimir Pavlovic 001 (CoRR, 2020)

CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. - Hai Xuan Pham; Ricardo Guerrero; Vladimir Pavlovic 001; Jiatong Li 001 (AAAI, 2021)

Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN. - Fangda Han; Guoyao Hao; Ricardo Guerrero; Vladimir Pavlovic 001 (BMVC, 2021)

Cross-modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Subspace Learning. - Ricardo Guerrero; Hai Xuan Pham; Vladimir Pavlovic 001 (ACM Multimedia, 2021)

AIxFood'21: 3rd Workshop on AIxFood. - Ricardo Guerrero; Michael Spranger; Shuqiang Jiang; Chong-Wah Ngo (ACM Multimedia, 2021)

Learning Disentangled Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. - Minyoung Kim 001; Ricardo Guerrero; Vladimir Pavlovic 001 (ACM Multimedia, 2021)

Variational Continual Proxy-Anchor for Deep Metric Learning. - Minyoung Kim 001; Ricardo Guerrero; Hai Xuan Pham; Vladimir Pavlovic 001 (AISTATS, 2022)

SOS! Self-supervised Learning over Sets of Handled Objects in Egocentric Action Recognition. - Victor Escorcia; Ricardo Guerrero; Xiatian Zhu; Brais Martínez (ECCV (13), 2022)

D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. - Yuting Wang 004; Ricardo Guerrero; Vladimir Pavlovic 001 (CoRR, 2022)

FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training. - Adrian Bulat; Ricardo Guerrero; Brais Martínez; Georgios Tzimiropoulos (ICCV, 2023)

D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. - Yuting Wang 004; Ricardo Guerrero; Vladimir Pavlovic 001 (WACV, 2023)

Helping Personal Service Firms to Cope with Digital Transformation: Evaluation of a Digitalization Maturity Model. - Ricardo Guerrero; Christoph Lattemann; Pia Gebbing (Pac. Asia J. Assoc. Inf. Syst., 2023)

Efficient Vision-Language pre-training via domain-specific learning for human activities. - Adrian Bulat; Yassine Ouali; Ricardo Guerrero; Brais Martínez; Georgios Tzimiropoulos (EMNLP, 2024)