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Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE.

P. Tudosiu, T. Varsavsky, R. Shaw, M. Graham, P. Nachev, S. Ourselin, C. Sudre, and M. Cardoso. CoRR, (2020)

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Petru Valicov

Berce Petru

Petru Ilea

Manfred Petruschke

Edwin Petruschke

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ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.C. Bass, M. da Silva, C. Sudre, L. Williams, H. Sousa, P. Tudosiu, F. Alfaro-Almagro, S. Fitzgibbon, M. Glasser, S. Smith and 1 other author(s). IEEE Trans. Medical Imaging, 42 (4): 959-970 (April 2023)Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking.A. Patel, P. Tudosiu, W. Pinaya, M. Graham, O. Adeleke, G. Cook, V. Goh, S. Ourselin, and M. Cardoso. ICCV (Workshops), page 2394-2402. IEEE, (2023)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)ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping.C. Bass, M. da Silva, C. Sudre, P. Tudosiu, S. Smith, and E. Robinson. NeurIPS, (2020)Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift.P. Borges, V. Fernandez, P. Tudosiu, P. Nachev, S. Ourselin, and M. Cardoso. SASHIMI@MICCAI, volume 14288 of Lecture Notes in Computer Science, page 53-63. Springer, (2023)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)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)Denoising diffusion models for out-of-distribution detection.M. Graham, W. Pinaya, P. Tudosiu, P. Nachev, S. Ourselin, and M. Cardoso. CVPR Workshops, page 2948-2957. IEEE, (2023)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 and 2 other author(s). CoRR, (2022)Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models.M. Graham, W. Pinaya, P. Wright, P. Tudosiu, Y. Mah, J. Teo, H. Jäger, D. Werring, P. Nachev, S. Ourselin and 1 other author(s). MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 446-456. Springer, (2023)

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Disambiguation of "Tudosiu, Petru-Daniel"

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Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE.

Please choose a person to relate this publication to

Petru Valicov

Berce Petru

Petru Ilea

Manfred Petruschke

Edwin Petruschke

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tudosiu, Petru-Daniel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE.

Please choose a person to relate this publication to

Petru Valicov

Berce Petru

Petru Ilea

Manfred Petruschke

Edwin Petruschke

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE.