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ORCIDWalter H. L. Pinaya
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2020 – today
- 2025
[j10]Henry C. Watkins
, Robert J. Gray, Adam Julius, Yee-Haur Mah, James T. Teo, Walter H. L. Pinaya, Paul Wright, Ashwani Jha, Holger Engleitner, Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Hans Rolf Jäger, Parashkev Nachev:
Neuradicon: Operational representation learning of neuroimaging reports. Comput. Methods Programs Biomed. 262: 108638 (2025)- 2024
- [j9]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Petru-Daniel Tudosiu, Tom Vercauteren, M. Jorge Cardoso:
Generating multi-pathological and multi-modal images and labels for brain MRI. Medical Image Anal. 97: 103278 (2024) - [j8]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:
Realistic morphology-preserving generative modelling of the brain. Nat. Mac. Intell. 6(7): 811-819 (2024) - [c17]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:
Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. MICCAI (5) 2024: 713-723 - [i18]Richard Osuala, Daniel Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Julia A. Schnabel, Karim Lekadir:
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models. CoRR abs/2403.13890 (2024) - [i17]Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Daniel M. Lang, Julia A. Schnabel, Oliver Díaz, Karim Lekadir:
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. CoRR abs/2409.18872 (2024) - 2023
- [j7]Bruno Aristimunha, Alexandre Janoni Bayerlein, M. Jorge Cardoso, Walter Hugo Lopez Pinaya, Raphael Yokoingawa de Camargo:
Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring. IEEE Access 11: 34595-34602 (2023) - [j6]Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, 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, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Latent Transformer Models for out-of-distribution detection. Medical Image Anal. 90: 102967 (2023) - [c16]Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Denoising diffusion models for out-of-distribution detection. CVPR Workshops 2023: 2948-2957 - [c15]Caroline P. A. Moraes, Bruno Aristimunha, Lucas Heck Dos Santos, Walter Hugo Lopez Pinaya, Raphael Yokoingawa de Camargo, Denis G. Fantinato, Aline Neves:
Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification. ICASSP 2023: 1-5 - [c14]Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Mark S. Graham, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking. ICCV (Workshops) 2023: 2394-2402 - [c13]Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, M. Jorge Cardoso:
Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. DGM4MICCAI 2023: 3-13 - [c12]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. DGM4MICCAI 2023: 132-142 - [c11]Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Geometry-Invariant Abnormality Detection. MICCAI (1) 2023: 300-309 - [c10]Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan V. Marinescu:
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. MICCAI (10) 2023: 438-447 - [c9]Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. MICCAI (1) 2023: 446-456 - [i16]Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. CoRR abs/2304.07147 (2023) - [i15]Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Jorge Cardoso:
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models. CoRR abs/2306.01322 (2023) - [i14]Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised 3D out-of-distribution detection with latent diffusion models. CoRR abs/2307.03777 (2023) - [i13]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:
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR abs/2307.15208 (2023) - [i12]Bruno Aristimunha, Raphael Y. de Camargo, Walter Hugo Lopez Pinaya, Sylvain Chevallier, Alexandre Gramfort, Cédric Rommel:
Evaluating the structure of cognitive tasks with transfer learning. CoRR abs/2308.02408 (2023) - [i11]Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan V. Marinescu:
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. CoRR abs/2308.12465 (2023) - [i10]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
A 3D generative model of pathological multi-modal MR images and segmentations. CoRR abs/2311.04552 (2023) - [i9]Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Karim Lekadir:
Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation. CoRR abs/2311.10879 (2023) - 2022
- [j5]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. Medical Image Anal. 79: 102475 (2022) - [c8]Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. DGM4MICCAI@MICCAI 2022: 14-23 - [c7]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:
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI 2022: 66-78 - [c6]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
Can Segmentation Models Be Trained with Fully Synthetically Generated Data? SASHIMI@MICCAI 2022: 79-90 - [c5]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Brain Imaging Generation with Latent Diffusion Models. DGM4MICCAI@MICCAI 2022: 117-126 - [c4]Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) 2022: 705-714 - [c3]Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, 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:
Transformer-based out-of-distribution detection for clinically safe segmentation. MIDL 2022: 457-476 - [i8]Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, 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:
Transformer-based out-of-distribution detection for clinically safe segmentation. CoRR abs/2205.10650 (2022) - [i7]Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR abs/2206.03461 (2022) - [i6]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, Jorge Cardoso:
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR abs/2209.03177 (2022) - [i5]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Brain Imaging Generation with Latent Diffusion Models. CoRR abs/2209.07162 (2022) - [i4]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
Can segmentation models be trained with fully synthetically generated data? CoRR abs/2209.08256 (2022) - [i3]Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Denoising Diffusion Models for Out-of-Distribution Detection. CoRR abs/2211.07740 (2022) - [i2]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:
Transformer-based normative modelling for anomaly detection of early schizophrenia. CoRR abs/2212.04984 (2022) - 2021
- [j4]Sergio Leonardo Mendes, Walter Hugo Lopez Pinaya, Pedro Mario Pan, João Ricardo Sato:
Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model. Comput. Intell. Neurosci. 2021: 5550914:1-5550914:12 (2021) - [c2]Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. MIDL 2021: 596-617 - [i1]Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. CoRR abs/2102.11650 (2021) - 2020
- [j3]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:
Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners. NeuroImage 220: 117127 (2020)
2010 – 2019
- 2019
- [j2]Ana Paula Arantes Bueno, Walter Hugo Lopez Pinaya, Keila Rebello, Leonardo Cruz de Souza, Michael Hornberger, João Ricardo Sato:
Regional Dynamics of the Resting Brain in Amyotrophic Lateral Sclerosis Using Fractional Amplitude of Low-Frequency Fluctuations and Regional Homogeneity Analyses. Brain Connect. 9(4): 356-364 (2019) - 2015
- [j1]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:
Comparing Methods for Determining Motor-Hand Lateralization Based on fTCD Signals. J. Medical Syst. 39(2): 4 (2015) - 2013
- [c1]Francisco J. Fraga, Tiago H. Falk, Lucas Trambaiolli, Eliezyer Fermino de Oliveira, Walter H. L. Pinaya, Paulo A. M. Kanda, Renato Anghinah:
Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features. ICASSP 2013: 1207-1211
Coauthor Index
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