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Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation.

L. Lebrat, R. Cruz, R. Dorent, J. Yaksic, A. Pagnozzi, G. Belous, P. Bourgeat, J. Fripp, C. Fookes, and O. Salvado. ISBI, page 1-5. IEEE, (2023)

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Elísio Salvado Macamo

Christoph Olivier

Olivier Brede

Paul Olivier

Olivier Coutand

Other publications of authors with the same name

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis.L. Lebrat, R. Cruz, R. Chierchia, Y. Arzhaeva, M. Armin, J. Goldsmith, J. Oorloff, P. Reddy, C. Nguyen, L. Petersson and 5 other author(s). CoRR, (2023)PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels.H. Huang, H. Kang, S. Liu, O. Salvado, T. Rakotoarivelo, D. Wang, and T. Liu. ICCV, page 16673-16684. IEEE, (2023)Automated cartilage segmentation from 3D MR images of hip joint using an ensemble of neural networks.Y. Xia, J. Manjón, C. Engstrom, S. Crozier, O. Salvado, and J. Fripp. ISBI, page 1070-1073. IEEE, (2017)Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the Radon transform.A. Fazlollahi, F. Mériaudeau, V. Villemagne, C. Rowe, P. Yates, O. Salvado, and P. Bourgeat. ISBI, page 113-116. IEEE, (2014)High Contrast T1-Weigthed Mri with Fluid and White Matter Suppression Using Mp2Rage.J. Beaumont, H. Saint-Jalmes, O. Acosta, T. Kober, M. Tanner, J. Ferré, O. Salvado, J. Fripp, and G. Gambarota. ISBI, page 701-704. IEEE, (2019)A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping.A. Fazlollahi, S. Ayton, P. Bourgeat, P. Raniga, A. Ng, J. Fripp, D. Ames, C. Masters, C. Rowe, V. Villemagne and 2 other author(s). ISBI, page 97-100. IEEE, (2017)3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps.F. Rusak, R. Cruz, P. Bourgeat, C. Fookes, J. Fripp, A. Bradley, and O. Salvado. SASHIMI@MICCAI, volume 12417 of Lecture Notes in Computer Science, page 11-20. Springer, (2020)Automatic MRI Atlas-Based External Beam Radiation Therapy Treatment Planning for Prostate Cancer.J. Dowling, J. Lambert, J. Parker, P. Greer, J. Fripp, J. Denham, S. Ourselin, and O. Salvado. Prostate Cancer Imaging, volume 6367 of Lecture Notes in Computer Science, page 25-33. Springer, (2010)Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images.J. Dowling, J. Fripp, S. Chandra, J. Pluim, J. Lambert, J. Parker, J. Denham, P. Greer, and O. Salvado. Prostate Cancer Imaging, volume 6963 of Lecture Notes in Computer Science, page 10-21. Springer, (2011)PINNs for Medical Image Analysis: A Survey.C. Banerjee, K. Thanh, O. Salvado, T. Tran, and C. Fookes. CoRR, (2024)

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Disambiguation of "Salvado, Olivier"

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Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation.

Please choose a person to relate this publication to

Elísio Salvado Macamo

Christoph Olivier

Olivier Brede

Paul Olivier

Olivier Coutand

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Salvado, Olivier"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation.

Please choose a person to relate this publication to

Elísio Salvado Macamo

Christoph Olivier

Olivier Brede

Paul Olivier

Olivier Coutand

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation.