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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: 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)Optimisation-Based Multi-Modal Semantic Image Editing.B. Li, Y. Yang, S. McDonagh, S. Zhang, P. Tudosiu, and S. Parisot. CoRR, (2023)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)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)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)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)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). MIDL, volume 172 of Proceedings of Machine Learning Research, page 457-476. PMLR, (2022)

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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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URL
DOI
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Chicago
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Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE.