Valindria, Vanya V.
Imperial College London
3 papers on CoChatORCID 0009-0008-0537-3232
Most cited papers
- Verified
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
Valindria, V. V., Lavdas, I., Bai, W., Kamnitsas, K., Aboagye, E. O., Rockall, A. G., Rueckert, D., & Glocker, B. (2017) · IEEE Transactions on Medical Imaging
Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education
Cited by 152
- Verified
Multi-modal learning from unpaired images: application to multi-organ segmentation in CT and MRI
Valindria, V. V., Pawlowski, N., Rajchl, M., Lavdas, I., Aboagye, E. O., Rockall, A. G., Rueckert, D., & Glocker, B. (2018) · 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)
Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning
Cited by 146
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Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging
Robinson, R., Valindria, V. V., Bai, W., Suzuki, H., Matthews, P. M., Page, C., Rueckert, D., & Glocker, B. (2017) · Lecture Notes in Computer Science
Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics
Cited by 37
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