Edinburgh Research Explorer

Small Vessel Disease Research

Organisational unit: Research Group

  1. Conference contribution › Research
  2. Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map

    Rachmadi, M., Valdes Hernandez, M., Makin, S., Wardlaw, J. & Komura, T., 10 Oct 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Springer, p. 146–154 9 p. (Lecture Notes in Computer Science (LNCS); vol. 11766).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Pseudo-Healthy Image Synthesis for White Matter Lesion Segmentation

    Bowles, C., Qin, C., Ledig, C., Moreno, R. G., Gunn, R., Hammers, A., Sakka, E., Dickie, D. A., Valdes Hernandez, M., Royle, N., Wardlaw, J., Rhodius-Meester, H., Tijms, B., Lemstra, A., van der Flier, W., Barkhof, F., Scheltens, P. & Rueckert, D., 23 Sep 2016, Simulation and Synthesis in Medical Imaging. SpringerLink, Vol. 9968. p. 87-96 (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Retinal Vessel Classification Based on Maximization of Squared-Loss Mutual Information

    Relan, D., Ballerini, L., Trucco, E. & MacGillivray, T., 2014, SPS-APSIPA Winter School and Workshop on Machine Intelligence and Signal Processing.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Retinal Vessel Classification In Fundus Imaging Using VAMPIRE For Biomarker Identification

    Relan, D., Macgillivray, T., Gray, C., Ballerini, L. & Trucco, E., 2013, NRS (NHS Research Scotland) Conference.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Retinal vessel classification: sorting arteries and veins

    Relan, D., MacGillivray, T., Ballerini, L. & Trucco, E., 2013, Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. NEW YORK: Institute of Electrical and Electronics Engineers (IEEE), p. 7396-7399 4 p. (IEEE Engineering in Medicine and Biology Society Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Spline-based refinement of vessel contours in fundus retinal images for width estimation

    Cavinato, A., Ballerini, L., Trucco, E. & Grisan, E., 2013, Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)). Institute of Electrical and Electronics Engineers (IEEE), p. 872-875 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Super Resolution Convolutional Neural Networks for Increasing Spatial Resolution of 1H Magnetic Resonance Spectroscopic Imaging

    Cengiz, S., Valdes Hernandez, M. & Ozturk-Isik, E., 22 Jun 2017, Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings.. p. 641-650 (Communications in Computer and Information Science).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Textural Characterization on Regions of Interest: A Useful Tool for the Study of Small Vessel Disease

    Viksne, L., Valdes Hernandez, M., Hoban, K., Heye, A. K., Gonzalez-Castro, V. & Wardlaw, J., 2015, Proceedings of the 19th Conference on Medical Image Understanding and Analysis. p. 66-71 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. The challenges of developing a collaborative data and compute grid for neurosciences

    Geddes, J., Mackay, C., Lloyd, S., Simpson, A., Power, D., Russell, D., Katzarova, M., Rossor, M., Fox, N., Fletcher, J., Hill, D., McLeish, K., Hajnal, J. V., Lawrie, S., Job, D., McIntosh, A., Wardlaw, J., Sandercock, P., Palmer, J., Perry, D. & 4 others, Procter, R., Ure, J., Bath, P. & Watson, G., 22 Dec 2006, Proceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006. Vol. 2006. p. 81-86 6 p. 1647550

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI

    Rachmadi, M., Valdes Hernandez, M. & Komura, T., 13 Sep 2018, PRIME: International Workshop on PRedictive Intelligence In MEdicine. Granada, Spain: Springer, Cham, p. 85-93 9 p. (Lecture Notes in Computer Science; vol. 11121)(Image Processing, Computer Vision, Pattern Recognition, and Graphics; vol. 11121).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution