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pro vyhledávání: '"Valindria, Vanya V."'
Autor:
Robinson, Robert, Valindria, Vanya V., Bai, Wenjia, Oktay, Ozan, Kainz, Bernhard, Suzuki, Hideaki, Sanghvi, Mihir M., Aung, Nay, Paiva, Jos$é$ Miguel, Zemrak, Filip, Fung, Kenneth, Lukaschuk, Elena, Lee, Aaron M., Carapella, Valentina, Kim, Young Jin, Piechnik, Stefan K., Neubauer, Stefan, Petersen, Steffen E., Page, Chris, Matthews, Paul M., Rueckert, Daniel, Glocker, Ben
Background: The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic processing tools, e.g. image segmentation methods, are employed to derive
Externí odkaz:
http://arxiv.org/abs/1901.09351
Autor:
Valindria, Vanya V., Lavdas, Ioannis, Cerrolaza, Juan, Aboagye, Eric O., Rockall, Andrea G., Rueckert, Daniel, Glocker, Ben
Accurate and robust segmentation of small organs in whole-body MRI is difficult due to anatomical variation and class imbalance. Recent deep network based approaches have demonstrated promising performance on abdominal multi-organ segmentations. Howe
Externí odkaz:
http://arxiv.org/abs/1807.11368
Autor:
Valindria, Vanya V., Lavdas, Ioannis, Bai, Wenjia, Kamnitsas, Konstantinos, Aboagye, Eric O., Rockall, Andrea G., Rueckert, Daniel, Glocker, Ben
The variations in multi-center data in medical imaging studies have brought the necessity of domain adaptation. Despite the advancement of machine learning in automatic segmentation, performance often degrades when algorithms are applied on new data
Externí odkaz:
http://arxiv.org/abs/1806.00363
Autor:
Valindria, Vanya V., Lavdas, Ioannis, Bai, Wenjia, Kamnitsas, Konstantinos, Aboagye, Eric O., Rockall, Andrea G., Rueckert, Daniel, Glocker, Ben
When integrating computational tools such as automatic segmentation into clinical practice, it is of utmost importance to be able to assess the level of accuracy on new data, and in particular, to detect when an automatic method fails. However, this
Externí odkaz:
http://arxiv.org/abs/1702.03407
Akademický článek
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Autor:
Lalande, Alain, Valindria, Vanya V., Angue, Marion, Vignon, Nicolas, Cochet, Alexandre, Brunotte, François
Publikováno v:
European Society for Magnetic Resonance in Medicine and Biology (ESMRMB)
European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), Oct 2012, Lisbonne, Portugal. pp.123
European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), Oct 2012, Lisbonne, Portugal. pp.123, 2012
European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), Oct 2012, Lisbonne, Portugal. pp.123
European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), Oct 2012, Lisbonne, Portugal. pp.123, 2012
International audience; Delay Enhancement - Magnetic Resonance Imaging (DE-MRI) can be considered as the gold standard for the assessment of myocardial viability after myocardial infarction (MI). Around the infarcted areas that appear with hyper-enha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e44625289b526c8a2882401e73ecac90
https://hal.archives-ouvertes.fr/hal-00787301
https://hal.archives-ouvertes.fr/hal-00787301
Autor:
Valindria, Vanya V., Angue, Marion, Vignon, Nicolas, Walker, Paul M., Cochet, Alexandre, Lalande, Alain
Publikováno v:
2011 Seventh International Conference on Signal-Image Technology & Internet-Based Systems (SITIS); 2011, p277-283, 7p
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.
Publikováno v:
IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2017 Aug; Vol. 36 (8), pp. 1597-1606. Date of Electronic Publication: 2017 Apr 17.