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Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.

Y. Tian, F. Liu, G. Pang, Y. Chen, Y. Liu, J. Verjans, R. Singh, and G. Carneiro. CoRR, (2021)

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Clarisse Carneiro

Carneiro Leão

Gustavo Corni

Besiegelte Freundschaft: die brandenburgischen Erbeinungen und Erbverbrüderungen im späten MittelalterM. Müller. Uni Frankfurt Main, (2008)

Gustavo Grupe

Gustavo Sousa

Other publications of authors with the same name

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning.Y. Tian, G. Pang, Y. Chen, R. Singh, J. Verjans, and G. Carneiro. ICCV, page 4955-4966. IEEE, (2021)Semi-supervised self-trainingmodel for the segmentationof the left ventricle of the heart from ultrasound data.G. Carneiro, J. Nascimento, and A. Freitas. ISBI, page 1295-1301. IEEE, (2011)End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging.G. Snaauw, D. Gong, G. Maicas, A. van den Hengel, W. Niessen, J. Verjans, and G. Carneiro. ISBI, page 802-805. IEEE, (2019)Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CT.S. Glaser, G. Maicas, S. Bedrikovetski, T. Sammour, and G. Carneiro. ISBI, page 1478-1481. IEEE, (2020)Hidden stratification causes clinically meaningful failures in machine learning for medical imagingL. Oakden-Rayner, J. Dunnmon, G. Carneiro, and C. Ré. Proceedings of the ACM conference on health, inference, and learning, page 151--159. (2020)Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract).H. Le, R. Akmeliawati, and G. Carneiro. CoRR, (2020)Instance-Dependent Noisy Label Learning via Graphical Modelling.A. Garg, C. Nguyen, R. Felix, T. Do, and G. Carneiro. CoRR, (2022)Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.Y. Tian, F. Liu, G. Pang, Y. Chen, Y. Liu, J. Verjans, R. Singh, and G. Carneiro. CoRR, (2021)AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge.C. de Vente, K. Vermeer, N. Jaccard, H. Wang, H. Sun, F. Khader, D. Truhn, T. Aimyshev, Y. Zhanibekuly, T. Le and 26 other author(s). CoRR, (2023)Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification.F. Liu, Y. Tian, F. Cordeiro, V. Belagiannis, I. Reid, and G. Carneiro. MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 426-436. Springer, (2021)

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Disambiguation of "Carneiro, Gustavo"

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Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.

Please choose a person to relate this publication to

Clarisse Carneiro

Carneiro Leão

Gustavo Corni

Gustavo Grupe

Gustavo Sousa

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Carneiro, Gustavo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.

Please choose a person to relate this publication to

Clarisse Carneiro

Carneiro Leão

Gustavo Corni

Gustavo Grupe

Gustavo Sousa

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

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.