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ORCIDVanya V. Valindria
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2020 – today
- 2021
[c8]Vanya V. Valindria
, Marco Palombo, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki:
Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. ISBI 2021: 50-54- [c7]Eleni Chiou, Vanya V. Valindria, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki:
Synthesizing VERDICT Maps from Standard DWI Data Using GANs. CDMRI@MICCAI 2021: 58-67
2010 – 2019
- 2019
- [i5]Robert Robinson, Vanya V. Valindria, Wenjia Bai, Ozan Oktay, Bernhard Kainz, Hideaki Suzuki, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Paul M. Matthews, Daniel Rueckert, Ben Glocker:
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study. CoRR abs/1901.09351 (2019) - 2018
- [b1]Vanya V. Valindria:
Machine learning for analysing whole-body scans. Imperial College London, UK, 2018 - [c6]Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes. MLMI@MICCAI 2018: 346-354 - [c5]Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker:
Real-Time Prediction of Segmentation Quality. MICCAI (4) 2018: 578-585 - [c4]Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI. WACV 2018: 547-556 - [i4]Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy. CoRR abs/1806.00363 (2018) - [i3]Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker:
Real-time Prediction of Segmentation Quality. CoRR abs/1806.06244 (2018) - [i2]Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes. CoRR abs/1807.11368 (2018) - 2017
- [j1]Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. IEEE Trans. Medical Imaging 36(8): 1597-1606 (2017) - [c3]Robert Robinson, Vanya V. Valindria, Wenjia Bai, Hideaki Suzuki, Paul M. Matthews, Chris Page, Daniel Rueckert, Ben Glocker:
Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging. MICCAI (1) 2017: 720-727 - [i1]Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. CoRR abs/1702.03407 (2017) - 2011
- [c2]Vanya V. Valindria, Marion Angue, Nicolas Vignon, Paul Michael Walker, Alexandre Cochet, Alain Lalande:
Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI. SITIS 2011: 277-283
2000 – 2009
- 2009
- [c1]Tati Rajab Mengko, Astri Handayani, Vanya V. Valindria, Samekta Hadi, Iwan Sovani:
Image Processing in Retinal Angiography: Extracting Angiographical Features without the Requirement of Contrast Agents. MVA 2009: 451-454
Coauthor Index
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