Walter H. L. Pinaya

19 papers Misc 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Neuradicon: Operational representation learning of neuroimaging reports.
Comput. Methods Programs Biomed.
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
2024 J jnl
Realistic morphology-preserving generative modelling of the brain.
Nat. Mac. Intell.
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
2024 J jnl
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks.
CoRR
Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Daniel M. Lang, Julia A. Schnabel, Oliver Díaz, Karim Lekadir
2024 J jnl
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models.
CoRR
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
2024 — conf
Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models.
MICCAI (5)
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
2023 J jnl
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection.
CoRR
Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2023 — conf
Denoising diffusion models for out-of-distribution detection.
CVPR Workshops
Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023 J jnl
Generative AI for Medical Imaging: extending the MONAI Framework.
CoRR
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
2023 J jnl
Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation.
CoRR
Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Karim Lekadir
2023 — conf
Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking.
ICCV (Workshops)
Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Mark S. Graham, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2022 — conf
Brain Imaging Generation with Latent Diffusion Models.
DGM4MICCAI@MICCAI
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022 J jnl
Brain Imaging Generation with Latent Diffusion Models.
CoRR
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022 J jnl
Denoising Diffusion Models for Out-of-Distribution Detection.
CoRR
Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022 — conf
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models.
MICCAI (8)
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
2022 J jnl
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models.
CoRR
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
2022 J jnl
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers.
Medical Image Anal.
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2020 J jnl
Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners.
NeuroImage
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 W. Morris, Esther Setien-Suero, Gary Donohoe, Giovanni B. Frisoni, Andrea Mechelli
2015 J jnl
Comparing Methods for Determining Motor-Hand Lateralization Based on fTCD Signals.
J. Medical Syst.
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
2013 Misc conf
Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features.
ICASSP
Francisco J. Fraga, Tiago H. Falk, Lucas Trambaiolli, Eliezyer Fermino de Oliveira, Walter H. L. Pinaya, Paulo A. M. Kanda, Renato Anghinah