by CVIP | Jan 1, 2019 | Publications
Labels 2019 prefaceHeller, N., Sznitman, R., Cheplygina, V., Mateus, D. & Trucco, E., 1 Jan 2019, Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention:...
by CVIP | Jan 1, 2019 | Publications
Quantile regression analysis reveals widespread evidence for gene-environment or gene-gene interactions in myopia developmentUK Biobank Eye and Vision Consortium, Pozarickij, A., Williams, C., Hysi, P. G. & Guggenheim, J. A., 2019, In : Communications Biology. 2,...
by CVIP | Jan 1, 2019 | Publications
Learning to Self-Manage by Intelligent Monitoring, Prediction and InterventionWiratunga, N., Corsar, D., Martin, K., Wijekoon, A., Elyan, E., Cooper, K., Ibrahim, Z., Celiktutan, O., Dobson, R. J., McKenna, S., Morris, J., Waller, A., Abd-Alhammed, R., Qahwaji, R....
by CVIP | Jan 1, 2019 | Publications
Active Learning for Patch-Based Digital Pathology using Convolutional Neural Networks to Reduce Annotation CostsCarse, J. & McKenna, S., 2019, Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10–13, 2019, Proceedings. Reyes-Aldasoro, C....
by CVIP | Dec 1, 2018 | Publications
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR ImagesLi, H., Jiang, G., Zhang, J., Wang, R., Wang, Z., Zheng, W-S. & Menze, B., 1 Dec 2018, In : NeuroImage. 183, p. 650-665 16 p.Research output: Contribution to journal...