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

M. Graham, P. Tudosiu, P. Wright, W. Pinaya, J. U.-King-Im, Y. Mah, J. Teo, H. Jäger, D. Werring, P. Nachev, S. Ourselin, and M. Cardoso. MIDL, volume 172 of Proceedings of Machine Learning Research, page 457-476. PMLR, (2022)

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Hugo Walter

Walter Hugo

Hugo Walter

Hugo

Other publications of authors with the same name

Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection.A. Patel, P. Tudosiu, W. Pinaya, G. Cook, V. Goh, S. Ourselin, and M. Cardoso. DGM4MICCAI@MICCAI, volume 13609 of Lecture Notes in Computer Science, page 14-23. Springer, (2022)Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model.S. Mendes, W. Pinaya, P. Pan, and J. Sato. Comput. Intell. Neurosci., (2021)Transformer-based normative modelling for anomaly detection of early schizophrenia.P. Costa, J. Dafflon, S. Mendes, J. Sato, M. Cardoso, R. Leech, E. Jones, and W. Pinaya. CoRR, (2022)Latent Transformer Models for out-of-distribution detection.M. Graham, P. Tudosiu, P. Wright, W. Pinaya, P. Teikari, A. Patel, J. U.-King-Im, Y. Mah, J. Teo, H. Jäger and 5 other author(s). Medical Image Anal., (December 2023)Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification.C. Moraes, B. Aristimunha, L. Santos, W. Pinaya, R. de Camargo, D. Fantinato, and A. Neves. ICASSP, page 1-5. IEEE, (2023)InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model.J. Wang, J. Levman, W. Pinaya, P. Tudosiu, M. Cardoso, and R. Marinescu. MICCAI (10), volume 14229 of Lecture Notes in Computer Science, page 438-447. Springer, (2023)Privacy Distillation: Reducing Re-identification Risk of Diffusion Models.V. Fernandez, P. Sanchez, W. Pinaya, G. Jacenków, S. Tsaftaris, and M. Cardoso. DGM4MICCAI, volume 14533 of Lecture Notes in Computer Science, page 3-13. Springer, (2023)Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring.B. Aristimunha, A. Bayerlein, M. Cardoso, W. Pinaya, and R. de Camargo. IEEE Access, (2023)Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models.V. Fernandez, P. Sanchez, W. Pinaya, G. Jacenków, S. Tsaftaris, and J. Cardoso. CoRR, (2023)Unsupervised Brain Anomaly Detection and Segmentation with Transformers.W. Pinaya, P. Tudosiu, R. Gray, G. Rees, P. Nachev, S. Ourselin, and M. Cardoso. MIDL, volume 143 of Proceedings of Machine Learning Research, page 596-617. PMLR, (2021)

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Disambiguation of "Pinaya, Walter Hugo Lopez"

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

Please choose a person to relate this publication to

Hugo Walter

Walter Hugo

Hugo Walter

Hugo Walter

Hugo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pinaya, Walter Hugo Lopez"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Transformer-based out-of-distribution detection for clinically safe segmentation.

Please choose a person to relate this publication to

Hugo Walter

Walter Hugo

Hugo Walter

Hugo Walter

Hugo

Other publications of authors with the same name

Disambiguation

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