RCA (Reverse Classification Accuracy)


  • Valindria, V. V., Lavdas, I., Bai, W., Kamnitsas, K., Aboagye, E. O., Rockall, A. G., … & Glocker, B. (2017). Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. IEEE Transactions on Medical Imaging. (pdf)  (code)
  • Valindria, V. V., Lavdas, I., Bai, W., Kamnitsas, K., Aboagye, E. O., Rockall, A. G., … & Glocker, B. (2018). Domain adaptation for MRI organ segmentation using reverse classification accuracy (DARCA). International conference on Medical Imaging with Deep Learning (MIDL 2018) (pdf) (poster)
  • Robinson, R., Valindria, V. V., Bai, W., Suzuki, H., Matthews, P. M., Page, C., … & Glocker, B. (2017, September). Automatic quality control of cardiac MRI segmentation in large-scale population imaging. MICCAI (pp. 720-727). Springer.
  • Robinson, R., Oktay, O., Bai, W., Valindria, V. V., Sanghvi, M. M., Aung, N., & Lee, A. M. (2018, September). Real-time prediction of segmentation quality. MICCAI (pp. 578-585). Springer.
  • Robinson, R., Valindria, V. V., Bai, W., Oktay, O., Kainz, B., Suzuki, H., … & Fung, K. (2019). Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study. Journal of Cardiovascular Magnetic Resonance, 21(1), 18. (pdf) 


Multi-modal Learning on Unpaired Images


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 (pdf) (poster)(code)


Small organ Segmentation


Valindria, V. V., Lavdas, I., Cerrolaza, J., Aboagye, E. O., Rockall, A. G., Rueckert, D., & Glocker, B. (2018). Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes. In International Workshop on Machine Learning in Medical Imaging (pp. 346-354). Springer. (pdf) (poster)(code)


Myocardial Infarction Quantification


Valindria, V. V., Angue, M., Vignon, N., Walker, P. M., Cochet, A., & Lalande, A. (2011, November). Automatic quantification of myocardial infarction from delayed enhancement MRI. In 2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems (pp. 277-283). IEEE. (pdf)


Diabetic Retinopathy


Valindria, V. V., Mengko, T. L., & Sovani, I. (2009). Automated Fluorescence as a System to Assist the Diagnosis of Retinal Blood Vessel Leakage. In 13th International Conference on Biomedical Engineering (pp. 94-97). Springer, Berlin, Heidelberg. (pdf)

Mengko, T. R., Handayani, A., Valindria, V. V., Hadi, S., & Sovani, I. (2009, May). Image Processing in Retinal Angiography: Extracting Angiographical Features without the Requirement of Contrast Agents. In MVA (pp. 451-454). (pdf)