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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. CoRR, (2016)

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Richard Newcombe

Antonio F J Bellote

Bernard F J Essmann

Bruno F J Kunz

Rob J F Cornelissen

Other publications of authors with the same name

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)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)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)Cranial Implant Design via Virtual Craniectomy with Shape Priors.F. Matzkin, V. Newcombe, B. Glocker, and E. Ferrante. AutoImplant@MICCAI, volume 12439 of Lecture Notes in Computer Science, page 37-46. Springer, (2020)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)AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design.J. Li, P. Pimentel, A. Szengel, M. Ehlke, H. Lamecker, S. Zachow, L. Cerquin, C. Doenitz, H. Ramm, H. Shi and 29 other author(s). IEEE Trans. Medical Imaging, 40 (9): 2329-2342 (2021)A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury.A. Umer, J. Mattila, H. Liedes, J. Koikkalainen, J. Lötjönen, A. Katila, J. Frantzen, V. Newcombe, O. Tenovuo, D. Menon and 1 other author(s). IEEE J. Biomed. Health Informatics, 23 (3): 1261-1268 (2019)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. CoRR, (2016)Contrast-to-noise ratios for indices of anisotropy obtained from diffusion MRI: A study with standard clinical b-values at 3 T.M. Correia, V. Newcombe, and G. Williams. NeuroImage, 57 (3): 1103-1115 (2011)

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Disambiguation of "Newcombe, Virginia F. J."

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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

Richard Newcombe

Antonio F J Bellote

Bernard F J Essmann

Bruno F J Kunz

Rob J F Cornelissen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Newcombe, Virginia F. J."

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

Richard Newcombe

Antonio F J Bellote

Bernard F J Essmann

Bruno F J Kunz

Rob J F Cornelissen

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
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Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation.