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A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations.

V. Fernandez, W. Pinaya, P. Borges, M. Graham, T. Vercauteren, и M. Cardoso. DGM4MICCAI, том 14533 из Lecture Notes in Computer Science, стр. 132-142. Springer, (2023)

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Jorge Cardoso

Jorge M Machetta

Ghendy Cardoso

Marcelo Cardoso

Dilson Cardoso

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Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI.M. Zuluaga, M. Cardoso, и S. Ourselin. CoRR, (2020)NiftyNet: a deep-learning platform for medical imaging.E. Gibson, W. Li, C. Sudre, L. Fidon, D. Shakir, G. Wang, Z. Eaton-Rosen, R. Gray, T. Doel, Y. Hu и 6 other автор(ы). CoRR, (2017)Biomechanical modelling of brain atrophy through deep learning.M. da Silva, K. Garcia, C. Sudre, C. Bass, M. Cardoso, и E. Robinson. CoRR, (2020)Estimating MRI Image Quality via Image Reconstruction Uncertainty.R. Shaw, C. Sudre, S. Ourselin, и M. Cardoso. CoRR, (2021)Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models.W. Pinaya, M. Graham, R. Gray, P. Costa, P. Tudosiu, P. Wright, Y. Mah, A. MacKinnon, J. Teo, H. Jäger и 5 other автор(ы). MICCAI (8), том 13438 из Lecture Notes in Computer Science, стр. 705-714. Springer, (2022)Brain Imaging Generation with Latent Diffusion Models.W. Pinaya, P. Tudosiu, J. Dafflon, P. Costa, V. Fernandez, P. Nachev, S. Ourselin, и M. Cardoso. DGM4MICCAI@MICCAI, том 13609 из Lecture Notes in Computer Science, стр. 117-126. Springer, (2022)Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling.C. Sudre, B. Anson, S. Ingala, C. Lane, D. Jimenez, L. Haider, T. Varsavsky, R. Tanno, L. Smith, S. Ourselin и 2 other автор(ы). MICCAI (4), том 11767 из Lecture Notes in Computer Science, стр. 665-673. Springer, (2019)Can Segmentation Models Be Trained with Fully Synthetically Generated Data?V. Fernandez, W. Pinaya, P. Borges, P. Tudosiu, M. Graham, T. Vercauteren, и M. Cardoso. SASHIMI@MICCAI, том 13570 из Lecture Notes in Computer Science, стр. 79-90. Springer, (2022)Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain.P. Tudosiu, W. Pinaya, M. Graham, P. Borges, V. Fernandez, D. Yang, J. Appleyard, G. Novati, D. Mehra, M. Vella и 3 other автор(ы). SASHIMI@MICCAI, том 13570 из Lecture Notes in Computer Science, стр. 66-78. Springer, (2022)Knowledge Distillation for Semi-supervised Domain Adaptation.M. Orbes-Arteaga, M. Cardoso, L. Sørensen, C. Igel, S. Ourselin, M. Modat, M. Nielsen, и A. Pai. OR/MLCN@MICCAI, том 11796 из Lecture Notes in Computer Science, стр. 68-76. Springer, (2019)

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