Vanya V. Valindria

According to our database, Vanya V. Valindria authored at least 12 papers between 2009 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Synthesizing VERDICT Maps from Standard DWI Data Using GANs.

Eleni Chiou, Vanya V. Valindria, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki

Proceedings of the Computational Diffusion MRI - 12th International Workshop, 2021

Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict.

Vanya V. Valindria, Marco Palombo, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.

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

CoRR, 2019

2018

Machine learning for analysing whole-body scans.

Vanya V. Valindria

PhD thesis, 2018

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.

Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker

CoRR, 2018

Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI.

Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes.

Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Real-Time Prediction of Segmentation Quality.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.

Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker

IEEE Trans. Medical Imaging, 2017

Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging.

Robert Robinson, Vanya V. Valindria, Wenjia Bai, Hideaki Suzuki, Paul M. Matthews, Chris Page, Daniel Rueckert, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2011

Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI.

Vanya V. Valindria, Marion Angue, Nicolas Vignon, Paul Michael Walker, Alexandre Cochet, Alain Lalande

Proceedings of the Seventh International Conference on Signal-Image Technology and Internet-Based Systems, 2011

2009

Image Processing in Retinal Angiography: Extracting Angiographical Features without the Requirement of Contrast Agents.

Tati Rajab Mengko, Astri Handayani, Vanya V. Valindria, Samekta Hadi, Iwan Sovani

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), 2009