Medical AI
(in progress) "Multi-site Learning on COVID-19 Chest X-ray Classification"
"ConvNext on Multi-Label TB Classification and Segmentation" (in review) https://github.com/vanya2v/Hybrid-CNN-ViT-ASL
"Neuroimaging: Multi-modal Stroke NIHSS Prediction and Causality Analysis" (paper in review)
Selected Publications:
Palombo, M., Valindria, V., Singh, S. et al. Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI. Nature Science Report 13, 2999 (2023).
Valindria, V., et al. "Non-invasive Gleason Score classification with VERDICT-MRI." International Society for Magnetic Resonance in Medicine (ISMRM): Concord, CA, USA (2021).
Valindria, Vanya, et al. "Synthetic Q-space learning with deep regression networks for prostate cancer characterisation with verdict." 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE, 2021.
Valindria, V. V., Pawlowski, N., Rajchl, M., Lavdas, I., Aboagye, E. O., Rockall, A. G., ... & Glocker, B. (2018, March). Multi-modal learning from unpaired images: Application to multi-organ segmentation in CT and MRI. In 2018 IEEE winter conference on applications of computer vision (WACV) (pp. 547-556). IEEE.
Valindria, Vanya V., et al. "Domain adaptation for MRI organ segmentation using reverse classification accuracy." Medical Imaging Deep Learning (MIDL), 2018.
Valindria, V. V., Lavdas, I., Bai, W., Kamnitsas, K., Aboagye, E. O., Rockall, A. G.& Glocker, B. Reverse classification accuracy: predicting segmentation performance in the absence of ground truth. IEEE transactions on medical imaging, 36(8), 2017.
PhD Theses: Machine Learning for Whole Body Scans (2019)
Generative AI
"Integrated High Quality Lip-sync and Voice Cloning for Indonesian Phoenems." (TBA)