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Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.

K. Kamnitsas, C. Ledig, V. Newcombe, J. Simpson, A. Kane, D. Menon, D. Rueckert, and B. Glocker. Medical Image Anal., (2017)

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David K ivánek

Dávid K szegi

Roopika Menon

Unni Krishna Menon

Sanjay Menon

Other publications of authors with the same name

Cognitive Flexibility: A Default Network and Basal Ganglia Connectivity Perspective.D. Vatansever, A. Manktelow, B. Sahakian, D. Menon, and E. Stamatakis. Brain Connect., 6 (3): 201-207 (2016)Default Mode Network Engagement Beyond Self-Referential Internal Mentation.D. Vatansever, A. Manktelow, B. Sahakian, D. Menon, and E. Stamatakis. Brain Connect., 8 (4): 245-253 (2018)Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework.A. Rao, C. Ledig, V. Newcombe, D. Menon, and D. Rueckert. ISBI, page 333-336. IEEE, (2014)TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation.M. Monteiro, K. Kamnitsas, E. Ferrante, F. Mathieu, S. McDonagh, S. Cook, S. Stevenson, T. Das, A. Khetani, T. Newman and 7 other author(s). BrainLes@MICCAI (1), volume 11992 of Lecture Notes in Computer Science, page 13-22. Springer, (2019)Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities.F. Wagner, W. Xu, P. Saha, Z. Liang, D. Whitehouse, D. Menon, N. Voets, J. Noble, and K. Kamnitsas. CoRR, (2024)Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.K. Kamnitsas, C. Baumgartner, C. Ledig, V. Newcombe, J. Simpson, A. Kane, D. Menon, A. Nori, A. Criminisi, D. Rueckert and 1 other author(s). CoRR, (2016)Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.K. Kamnitsas, C. Ledig, V. Newcombe, J. Simpson, A. Kane, D. Menon, D. Rueckert, and B. Glocker. Medical Image Anal., (2017)Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks.K. Kamnitsas, C. Baumgartner, C. Ledig, V. Newcombe, J. Simpson, A. Kane, D. Menon, A. Nori, A. Criminisi, D. Rueckert and 1 other author(s). IPMI, volume 10265 of Lecture Notes in Computer Science, page 597-609. Springer, (2017)Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation.K. Kamnitsas, S. Winzeck, E. Kornaropoulos, D. Whitehouse, C. Englman, P. Phyu, N. Pao, D. Menon, D. Rueckert, T. Das and 2 other author(s). DART/FAIR@MICCAI, volume 12968 of Lecture Notes in Computer Science, page 79-89. Springer, (2021)

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Disambiguation of "Menon, David K."

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Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.

Please choose a person to relate this publication to

David K ivánek

Dávid K szegi

Roopika Menon

Unni Krishna Menon

Sanjay Menon

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Menon, David K."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.

Please choose a person to relate this publication to

David K ivánek

Dávid K szegi

Roopika Menon

Unni Krishna Menon

Sanjay Menon

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
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MSOffice XML

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.