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Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.

K. Kamnitsas, W. Bai, E. Ferrante, S. McDonagh, M. Sinclair, N. Pawlowski, M. Rajchl, M. Lee, B. Kainz, D. Rueckert, and B. Glocker. CoRR, (2017)

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Konstantinos Paraschakis

Konstantinos Donas

Konstantinos Rizas

Konstantinos Siantidis

Konstantinos Tsaknakis

Other publications of authors with the same name

Towards continual learning in medical imaging.C. Baweja, B. Glocker, and K. Kamnitsas. CoRR, (2018)Context Label Learning: Improving Background Class Representations in Semantic Segmentation.Z. Li, K. Kamnitsas, C. Ouyang, C. Chen, and B. Glocker. IEEE Trans. Medical Imaging, 42 (6): 1885-1896 (June 2023)Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.Z. Li, K. Kamnitsas, Q. Dou, C. Qin, and B. Glocker. CoRR, (2023)Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment.F. Wagner, Z. Li, P. Saha, and K. Kamnitsas. MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 253-263. Springer, (2023)Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation.S. Popescu, D. Sharp, J. Cole, K. Kamnitsas, and B. Glocker. IPMI, volume 12729 of Lecture Notes in Computer Science, page 415-427. Springer, (2021)Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.V. Valindria, I. Lavdas, W. Bai, K. Kamnitsas, E. Aboagye, A. Rockall, D. Rueckert, and B. Glocker. CoRR, (2018)Context Label Learning: Improving Background Class Representations in Semantic Segmentation.Z. Li, K. Kamnitsas, C. Ouyang, C. Chen, and B. Glocker. CoRR, (2022)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)Multiple Landmark Detection Using Multi-agent Reinforcement Learning.A. Vlontzos, A. Alansary, K. Kamnitsas, D. Rueckert, and B. Kainz. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 262-270. Springer, (2019)Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation.C. Ouyang, K. Kamnitsas, C. Biffi, J. Duan, and D. Rueckert. MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 669-677. Springer, (2019)

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Disambiguation of "Kamnitsas, Konstantinos"

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Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.

Please choose a person to relate this publication to

Konstantinos Paraschakis

Konstantinos Donas

Konstantinos Rizas

Konstantinos Siantidis

Konstantinos Tsaknakis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kamnitsas, Konstantinos"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.

Please choose a person to relate this publication to

Konstantinos Paraschakis

Konstantinos Donas

Konstantinos Rizas

Konstantinos Siantidis

Konstantinos Tsaknakis

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
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APA
Chicago
DIN 1505
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Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.