Ikuti
Vanya Valindria
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
952017
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
872018
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), 1-14, 2019
842019
Real-time prediction of segmentation quality
R Robinson, O Oktay, W Bai, VV Valindria, MM Sanghvi, N Aung, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
522018
Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging
R Robinson, VV Valindria, W Bai, H Suzuki, PM Matthews, C Page, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
342017
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
192018
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, ...
International Workshop on Machine Learning in Medical Imaging, 346-354, 2018
182018
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
172011
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
132009
Subject-level Prediction of Segmentation Failure using Real-Time Convolutional Neural Nets
R Robinson, O Oktay, W Bai, VV Valindria, MM Sanghvi, N Aung, ...
72018
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
42021
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
32021
International Conference on Medical Image Computing and Computer-Assisted Intervention
R Robinson, O Oktay, W Bai, VV Valindria, MM Sanghvi, N Aung
32018
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, 2022
22022
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
22012
Automated quality control in image segmentation: application to the UK Biobank cardiac MR imaging study
R Robinson, VV Valindria, W Bai, O Oktay, B Kainz, H Suzuki, ...
BioMed Central, 0
1
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, ...
Preprints, 2022
2022
Synthesizing VERDICT maps from standard diffusion mp-MRI data using GANs
E Chiou, V Valindria, F Giganti, S Punwani, I Kokkinos, E Panagiotaki
bioRxiv, 2021
2021
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study
R Robinson, VV Valindria, W Bai, O Oktay, B Kainz, H Suzuki, ...
arXiv preprint arXiv:1901.09351, 2019
2019
Machine learning for analysing whole-body scans
V Valindria
Imperial College London, 2018
2018
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