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Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement

R. Tanno, D. Worrall, E. Kaden, A. Ghosh, F. Grussu, A. Bizzi, S. Sotiropoulos, A. Criminisi, and D. Alexander. (2019)cite arxiv:1907.13418.

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Ryutaro Tsuchida

Susanne Tannò

Tanno Zantz

Patrick Tannò

Fadi Tannous

Other publications of authors with the same name

Reproducibility of an airway tapering measurement in CT with application to bronchiectasis.K. Quan, R. Tanno, R. Shipley, J. Brown, J. Jacob, J. Hurst, and D. Hawkes. CoRR, (2019)Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients.M. Figini, H. Lin, G. Ogbole, F. D'Arco, S. Blumberg, D. Carmichael, R. Tanno, E. Kaden, B. Brown, I. Lagunju and 3 other author(s). CoRR, (2020)Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding.T. Evans, S. Pathak, H. Merzic, J. Schwarz, R. Tanno, and O. Hénaff. CoRR, (2023)Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation.R. Tanno, D. Barrett, A. Sellergren, S. Ghaisas, S. Dathathri, A. See, J. Welbl, K. Singhal, S. Azizi, T. Tu and 13 other author(s). CoRR, (2023)Disentangling Human Error from Ground Truth in Segmentation of Medical Images.L. Zhang, R. Tanno, M. Xu, C. Jin, J. Jacob, O. Cicarrelli, F. Barkhof, and D. Alexander. NeurIPS, (2020)Learning Task-Specific and Shared Representations in Medical Imaging.F. Bragman, R. Tanno, S. Ourselin, D. Alexander, and M. Cardoso. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 374-383. Springer, (2019)Foveation for Segmentation of Mega-Pixel Histology Images.C. Jin, R. Tanno, M. Xu, T. Mertzanidou, and D. Alexander. MICCAI (5), volume 12265 of Lecture Notes in Computer Science, page 561-571. Springer, (2020)Disentangling Human Error from the Ground Truth in Segmentation of Medical Images.L. Zhang, R. Tanno, M. Xu, C. Jin, J. Jacob, O. Ciccarelli, F. Barkhof, and D. Alexander. CoRR, (2020)Learning to Downsample for Segmentation of Ultra-High Resolution Images.C. Jin, R. Tanno, T. Mertzanidou, E. Panagiotaki, and D. Alexander. CoRR, (2021)Uncertainty Quantification in Deep Learning for Safer Neuroimage EnhancementR. Tanno, D. Worrall, E. Kaden, A. Ghosh, F. Grussu, A. Bizzi, S. Sotiropoulos, A. Criminisi, and D. Alexander. (2019)cite arxiv:1907.13418.

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Disambiguation of "Tanno, Ryutaro"

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Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement

Please choose a person to relate this publication to

Ryutaro Tsuchida

Susanne Tannò

Tanno Zantz

Patrick Tannò

Fadi Tannous

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tanno, Ryutaro"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement

Please choose a person to relate this publication to

Ryutaro Tsuchida

Susanne Tannò

Tanno Zantz

Patrick Tannò

Fadi Tannous

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

Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement