Walter H. L. Pinaya

According to our database, Walter H. L. Pinaya authored at least 32 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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, Julia A. Schnabel, Oliver Díaz, Karim Lekadir

CoRR, 2024

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models.

Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Julia A. Schnabel, Karim Lekadir

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Latent Transformer Models for out-of-distribution detection.

Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Petteri Teikari, Ashay Patel, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Medical Image Anal., December, 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

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

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, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

CoRR, 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

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models.

Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 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

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised brain imaging 3D anomaly detection and segmentation with transformers.

Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Medical Image Anal., 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

Transformer-based out-of-distribution detection for clinically safe segmentation.

Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the International Conference on Medical Imaging with Deep Learning, 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, M. Jorge Cardoso

Proceedings of the Simulation and Synthesis in Medical Imaging, 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

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 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, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

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

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

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

Unsupervised Brain Anomaly Detection and Segmentation with Transformers.

Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

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, David Mothersill, Dennis Hernaus, Derek Morris, Esther Setien-Suero, Gary Donohoe, Giovanni B. Frisoni, Andrea Mechelli

NeuroImage, 2020

2019

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

2015

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

2013

Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features.

Francisco J. Fraga, Tiago H. Falk, Lucas Trambaiolli, Eliezyer F. Oliveira, Walter H. L. Pinaya, Paulo A. M. Kanda, Renato Anghinah

Proceedings of the IEEE International Conference on Acoustics, 2013