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 (MVA, 2009)

Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI. - Vanya V. Valindria; Marion Angue; Nicolas Vignon; Paul Michael Walker; Alexandre Cochet; Alain Lalande (SITIS, 2011)

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 (MICCAI (1), 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)

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; et al. (MICCAI (4), 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 (MLMI@MICCAI, 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 (WACV, 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)

Machine learning for analysing whole-body scans. - Vanya V. Valindria (2018)

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; et al. (CoRR, 2019)

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 (ISBI, 2021)

Synthesizing VERDICT Maps from Standard DWI Data Using GANs. - Eleni Chiou; Vanya V. Valindria; Francesco Giganti; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (CDMRI@MICCAI, 2021)

Hybrid Vision Transformer and Convolutional Neural Network for Multi-Class and Multi-Label Classification of Tuberculosis Anomalies on Chest X-Ray. - Rizka Yulvina; Stefanus Andika Putra; Mia Rizkinia; Arierta Pujitresnani; Eric Daniel Tenda; Reyhan Eddy Yunus; Dean Handimulya Djumaryo; Prasandhya Astagiri Yusuf; Vanya V. Valindria (Comput., 2024)