Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features. - Francisco J. Fraga; Tiago H. Falk; Lucas Trambaiolli; Eliezyer Fermino de Oliveira; Walter H. L. Pinaya; Paulo A. M. Kanda; Renato Anghinah (ICASSP, 2013)

Comparing Methods for Determining Motor-Hand Lateralization Based on fTCD Signals. - Walter H. L. Pinaya; Francisco J. Fraga; Salo S. Haratz; Philip J. A. Dean; Adriana Conforto; Edson Bor-Seng-Shu; Manoel J. Teixeira; João R. Sato (J. Medical Syst., 2015)

Regional Dynamics of the Resting Brain in Amyotrophic Lateral Sclerosis Using Fractional Amplitude of Low-Frequency Fluctuations and Regional Homogeneity Analyses. - Ana Paula Arantes Bueno; Walter Hugo Lopez Pinaya; Keila Rebello; Leonardo Cruz de Souza; Michael Hornberger; João Ricardo Sato (Brain Connect., 2019)

Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners. - Rafael Garcia-Dias; Cristina Scarpazza; Lea Baecker; Sandra Vieira; Walter H. L. Pinaya; Aiden P. Corvin; Alberto Redolfi; Barnaby Nelson; Benedicto Crespo-Facorro; Colm McDonald; Diana Tordesillas-Gutiérrez; Dara M. Cannon; et al. (NeuroImage, 2020)

Unsupervised Brain Anomaly Detection and Segmentation with Transformers. - Walter Hugo Lopez Pinaya; Petru-Daniel Tudosiu; Robert J. Gray; Geraint Rees 001; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MIDL, 2021)

Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model. - Sergio Leonardo Mendes; Walter Hugo Lopez Pinaya; Pedro Mario Pan; João Ricardo Sato (Comput. Intell. Neurosci., 2021)

Can Segmentation Models Be Trained with Fully Synthetically Generated Data? - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Petru-Daniel Tudosiu; Mark S. Graham; Tom Vercauteren; M. Jorge Cardoso (SASHIMI@MICCAI, 2022)

Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. - Ashay Patel; Petru-Daniel Tudosiu; Walter Hugo Lopez Pinaya; Gary J. Cook; Vicky Goh; Sébastien Ourselin; M. Jorge Cardoso (DGM4MICCAI@MICCAI, 2022)

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. - Walter H. L. Pinaya; Mark S. Graham; Robert J. Gray; Pedro F. Da Costa; Petru-Daniel Tudosiu; Paul Wright 001; Yee-Haur Mah; Andrew D. MacKinnon; James T. Teo; Hans Rolf Jäger; David Werring; Geraint Rees 001; et al. (MICCAI (8), 2022)

Brain Imaging Generation with Latent Diffusion Models. - Walter H. L. Pinaya; Petru-Daniel Tudosiu; Jessica Dafflon; Pedro F. Da Costa; Virginia Fernandez; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (DGM4MICCAI@MICCAI, 2022)

Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. - Petru-Daniel Tudosiu; Walter Hugo Lopez Pinaya; Mark S. Graham; Pedro Borges; Virginia Fernandez; Dai Yang; Jeremy Appleyard; Guido Novati; Disha Mehra; Mike Vella; Parashkev Nachev; Sébastien Ourselin; et al. (SASHIMI@MICCAI, 2022)

Transformer-based out-of-distribution detection for clinically safe segmentation. - Mark S. Graham; Petru-Daniel Tudosiu; Paul Wright 001; Walter Hugo Lopez Pinaya; Jean-Marie U.-King-Im; Yee-Haur Mah; James T. Teo; Hans Rolf Jäger; David Werring; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MIDL, 2022)

Transformer-based normative modelling for anomaly detection of early schizophrenia. - Pedro F. Da Costa; Jessica Dafflon; Sergio Leonardo Mendes; João Ricardo Sato; M. Jorge Cardoso; Robert Leech; Emily J. H. Jones; Walter Hugo Lopez Pinaya (CoRR, 2022)

Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. - Walter H. L. Pinaya; Petru-Daniel Tudosiu; Robert J. Gray; Geraint Rees 001; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (Medical Image Anal., 2022)

Denoising diffusion models for out-of-distribution detection. - Mark S. Graham; Walter H. L. Pinaya; Petru-Daniel Tudosiu; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (CVPR Workshops, 2023)

Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification. - Caroline P. A. Moraes; Bruno Aristimunha; Lucas Heck Dos Santos; Walter Hugo Lopez Pinaya; Raphael Yokoingawa de Camargo; Denis G. Fantinato; Aline Neves (ICASSP, 2023)

Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking. - Ashay Patel; Petru-Daniel Tudosiu; Walter H. L. Pinaya; Mark S. Graham; Olusola Adeleke; Gary J. Cook; Vicky Goh; Sébastien Ourselin; M. Jorge Cardoso (ICCV (Workshops), 2023)

A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Mark S. Graham; Tom Vercauteren; M. Jorge Cardoso (DGM4MICCAI, 2023)

Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. - Virginia Fernandez; Pedro Sanchez; Walter Hugo Lopez Pinaya; Grzegorz Jacenków; Sotirios A. Tsaftaris; M. Jorge Cardoso (DGM4MICCAI, 2023)

Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. - Mark S. Graham; Walter Hugo Lopez Pinaya; Paul Wright 001; Petru-Daniel Tudosiu; Yee-Haur Mah; James T. Teo; Hans Rolf Jäger; David Werring; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MICCAI (1), 2023)

Geometry-Invariant Abnormality Detection. - Ashay Patel; Petru-Daniel Tudosiu; Walter Hugo Lopez Pinaya; Olusola Adeleke; Gary J. Cook; Vicky Goh; Sébastien Ourselin; M. Jorge Cardoso (MICCAI (1), 2023)

InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. - Jueqi Wang; Jacob Levman; Walter Hugo Lopez Pinaya; Petru-Daniel Tudosiu; M. Jorge Cardoso; Razvan V. Marinescu (MICCAI (10), 2023)

Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring. - Bruno Aristimunha; Alexandre Janoni Bayerlein; M. Jorge Cardoso; Walter Hugo Lopez Pinaya; Raphael Yokoingawa de Camargo (IEEE Access, 2023)

Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models. - Virginia Fernandez; Pedro Sanchez; Walter Hugo Lopez Pinaya; Grzegorz Jacenków; Sotirios A. Tsaftaris; Jorge Jorge Cardoso (CoRR, 2023)

Generative AI for Medical Imaging: extending the MONAI Framework. - Walter H. L. Pinaya; Mark S. Graham; Eric Kerfoot; Petru-Daniel Tudosiu; Jessica Dafflon; Virginia Fernandez; Pedro Sanchez; Julia Wolleb; Pedro F. Da Costa; Ashay Patel; Hyungjin Chung; Can Zhao 001; et al. (CoRR, 2023)

Evaluating the structure of cognitive tasks with transfer learning. - Bruno Aristimunha; Raphael Y. de Camargo; Walter Hugo Lopez Pinaya; Sylvain Chevallier; Alexandre Gramfort; Cédric Rommel (CoRR, 2023)

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Karim Lekadir (CoRR, 2023)

Latent Transformer Models for out-of-distribution detection. - Mark S. Graham; Petru-Daniel Tudosiu; Paul Wright 001; Walter Hugo Lopez Pinaya; Petteri Teikari; Ashay Patel; Jean-Marie U.-King-Im; Yee-Haur Mah; James T. Teo; Hans Rolf Jäger; David Werring; Geraint Rees 001; et al. (Medical Image Anal., 2023)

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. - Richard Osuala; Daniel M. Lang 003; Preeti Verma; Smriti Joshi; Apostolia Tsirikoglou; Grzegorz Skorupko; Kaisar Kushibar; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Julia A. Schnabel; Karim Lekadir (MICCAI (5), 2024)

Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Daniel M. Lang 003; Julia A. Schnabel; Oliver Díaz; Karim Lekadir (CoRR, 2024)

Generating multi-pathological and multi-modal images and labels for brain MRI. - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Mark S. Graham; Petru-Daniel Tudosiu; Tom Vercauteren; M. Jorge Cardoso (Medical Image Anal., 2024)

Realistic morphology-preserving generative modelling of the brain. - Petru-Daniel Tudosiu; Walter H. L. Pinaya; Pedro Ferreira Da Costa; Jessica Dafflon; Ashay Patel; Pedro Borges; Virginia Fernandez; Mark S. Graham; Robert J. Gray; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (Nat. Mac. Intell., 2024)

Neuradicon: Operational representation learning of neuroimaging reports. - Henry C. Watkins; Robert J. Gray; Adam Julius; Yee-Haur Mah; James T. Teo; Walter H. L. Pinaya; Paul Wright 001; Ashwani Jha; Holger Engleitner; Jorge Cardoso 002; Sébastien Ourselin; Geraint Rees 001; et al. (Comput. Methods Programs Biomed., 2025)