White Matter Microstructure Differences Between Congenital and Acquired Hearing Loss Patients Using Diffusion Tensor Imaging (DTI) and Machine Learning
Vanya Valindria et al.
RESEARCH OUTPUT
Publications
A selection of publications in medical imaging, machine learning, multimodal learning and AI for healthcare. For the most up-to-date publication record and citation information, please visit my Google Scholar profile .
ALL PUBLICATIONS
Publication record
2025
2024
Hybrid Vision Transformer and Convolutional Neural Network for Multi-Class and Multi-Label Classification of Tuberculosis Anomalies on Chest X-Ray
Vanya Valindria et al.
Stroke Prognostication in Patients Treated with Thrombolysis Using Random Forest
Vanya Valindria et al.
2023
Joint Estimation of Relaxation and Diffusion Tissue Parameters for Prostate Cancer with Relaxation-VERDICT MRI
Marco Palombo, Vanya Valindria, Saurabh Singh, Eleni Chiou, et al.
2022
Differentiating False Positive Lesions from Clinically Significant Cancer and Normal Prostate Tissue Using VERDICT MRI and Other Diffusion Models
Snigdha Sen, Vanya Valindria, Paddy J. Slator et al.
2021
Synthesizing VERDICT Maps from Standard DWI Data Using GANs
Vanya Valindria et al.
Joint Estimation of Relaxation and Diffusion Tissue Parameters for Prostate Cancer Grading with Relaxation-VERDICT MRI
Vanya Valindria et al.
Non-invasive Gleason Score Classification with VERDICT-MRI
Vanya Valindria et al.
Synthetic Q-Space Learning with Deep Regression Networks for Prostate Cancer Characterisation with VERDICT
Vanya Valindria et al.
2019
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiovascular Magnetic Resonance Imaging Study
Vanya Valindria et al.
Machine Learning for Analysing Whole-Body Scans
Vanya Valindria et al.
2018
Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes
Vanya Valindria et al.
Real-Time Prediction of Segmentation Quality
Vanya Valindria et al.
Domain Adaptation for MRI Organ Segmentation Using Reverse Classification Accuracy
Vanya Valindria, Ioannis Lavdas, Wenjia Bai et al.
Subject-Level Prediction of Segmentation Failure Using Real-Time Convolutional Neural Networks
Vanya Valindria et al.
Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI
Vanya Valindria, N. Pawlowski, M. Rajchl, I. Lavdas, E. O. Aboagye, A. Rockall, D. Rueckert, B. Glocker
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
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
2012
Automatic Evaluation of the Peri-Infarct Area of Myocardial Infarction from Delayed Enhancement MRI
Vanya Valindria et al.
2011
Automatic Quantification of Myocardial Infarction from Delayed Enhancement MRI
Vanya Valindria et al.
2009
Automated Fluorescence as a System to Assist the Diagnosis of Retinal Blood Vessel Leakage
Vanya Valindria et al.