| Reverse classification accuracy: predicting segmentation performance in the absence of ground truth VV Valindria, I Lavdas, W Bai, K Kamnitsas, EO Aboagye, AG Rockall, ... IEEE transactions on medical imaging 36 (8), 1597-1606, 2017 | 148 | 2017 |
| Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI V Valindria, N Pawlowski, M Rajchl, I Lavdas, EO Aboagye, A Rockall, ... IEEE WACV (Winter Conference of Application in Computer Vision) 2018, 2018 | 141 | 2018 |
| Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study R Robinson, VV Valindria, W Bai, O Oktay, B Kainz, H Suzuki, ... Journal of Cardiovascular Magnetic Resonance 21, 1-14, 2019 | 129 | 2019 |
| Real-time prediction of segmentation quality R Robinson, O Oktay, W Bai, VV Valindria, MM Sanghvi, N Aung, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 77 | 2018 |
| Automatic quality control of cardiac MRI segmentation in large-scale population imaging R Robinson, VV Valindria, W Bai, H Suzuki, PM Matthews, C Page, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 37 | 2017 |
| Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI M Palombo, V Valindria, S Singh, E Chiou, F Giganti, H Pye, HC Whitaker, ... Scientific Reports 13 (1), 2999, 2023 | 23 | 2023 |
| Small organ segmentation in whole-body MRI using a two-stage FCN and weighting schemes VV Valindria, I Lavdas, J Cerrolaza, EO Aboagye, AG Rockall, D Rueckert, ... Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 23 | 2018 |
| Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy VV Valindria, I Lavdas, W Bai, K Kamnitsas, EO Aboagye, AG Rockall, ... International conference on Medical Imaging with Deep Learning (MIDL) 2018, 2018 | 21 | 2018 |
| Automatic quantification of myocardial infarction from delayed enhancement MRI VV Valindria, M Angue, N Vignon, PM Walker, A Cochet, A Lalande 2011 Seventh International Conference on Signal Image Technology & Internet …, 2011 | 17 | 2011 |
| Image Processing in Retinal Angiography: Extracting Angiographical Features without the Requirement of Contrast Agents. TR Mengko, A Handayani, VV Valindria, S Hadi, I Sovani MVA, 451-454, 2009 | 14 | 2009 |
| Subject-level prediction of segmentation failure using real-time convolutional neural nets R Robinson, O Oktay, W Bai, VV Valindria, MM Sanghvi, N Aung, ... | 12 | 2018 |
| Differentiating false positive lesions from clinically significant cancer and normal prostate tissue using VERDICT MRI and other diffusion models S Sen, V Valindria, PJ Slator, H Pye, A Grey, A Freeman, C Moore, ... Diagnostics 12 (7), 1631, 2022 | 10 | 2022 |
| Synthetic Q-Space Learning with Deep Regression Networks for Prostate Cancer Characterisation with VERDICT V Valindria, E Chiou, M Palombo, S Singh, S Punwani, E Panagiotaki International Symposium of Biomedical Imaging (ISBI), 2021 | 9 | 2021 |
| Synthesizing VERDICT maps from standard DWI data using GANs E Chiou, V Valindria, F Giganti, S Punwani, I Kokkinos, E Panagiotaki Computational Diffusion MRI: 12th International Workshop, CDMRI 2021, Held …, 2021 | 4* | 2021 |
| Automatic evaluation of the peri-infarct area of myocardial infarction from delayed enhancement mri A Lalande, VV Valindria, M Angue, N Vignon, A Cochet, F Brunotte European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), 123, 2012 | 4 | 2012 |
| Non-invasive Gleason Score Classification with VERDICT-MRI V Valindria, S Singh, E Chiou, T Mertzanidou, B Kanber, S Punwani, ... 29th Annual Meeting of ISMRM, 4120, 2021 | 3 | 2021 |
| Verdict‐MRI analysis of false positives in prostate mp‐MRI S Sen, V Valindria, H Pye, A Grey, A Haider, A Freeman, C Moore, ... Proceedings of the 31st Annual Meeting of ISMRM 926, 2022 | 1 | 2022 |
| Hybrid Vision Transformer and Convolutional Neural Network for Multi-Class and Multi-Label Classification of Tuberculosis Anomalies on Chest X-Ray. R Yulvina, SA Putra, M Rizkinia, A Pujitresnani, ED Tenda, RE Yunus, ... Computers 13 (Machine Learning for Healthcare), 343, 2024 | | 2024 |
| Stroke Prognostication in Patients Treated with Thrombolysis Using Random Forest DT Reyhan Eddy Yunus, Prijo Sidipratomo,Aria Kekalih, Wisnu Jatmiko, Jacub ... The Open Neuroimaging Journal 17, 2024 | | 2024 |
| Joint estimation of relaxation and diffusion tissue parameters for prostate cancer grading with relaxation-VERDICT MRI M Palombo, V Valindria, S Singh, E Chiou, F Giganti, H Pye, HC Whitaker, ... medRxiv, 2021.06. 24.21259440, 2021 | | 2021 |
