Commit 9072f576 authored by Vaanathi Sundaresan's avatar Vaanathi Sundaresan
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Update README.md

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- Sundaresan, V., Zamboni, G., Rothwell, P.M., Jenkinson, M. and Griffanti, L., 2021. Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images. Medical Image Analysis, p.102184. [DOI: https://doi.org/10.1016/j.media.2021.102184] (preprint available at [DOI: https://doi.org/10.1101/2020.07.24.219485])
Also refer to the following paper to know more about truenet fine-tuning:
- Sundaresan, V., Zamboni, G., Dinsdale, N. K., Rothwell, P. M., Griffanti, L., & Jenkinson, M. (2021). Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images. bioRxiv. [DOI: https://doi.org/10.1101/2021.03.12.435171] (accepted in Medical Image Analysis, DOI to be updated soon.)
- Sundaresan, V., Zamboni, G., Dinsdale, N. K., Rothwell, P. M., Griffanti, L., & Jenkinson, M. (2021). Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images. Medical Image Analysis, p. 102215. [DOI: https://doi.org/10.1016/j.media.2021.102215] (preprint available at [DOI: https://doi.org/10.1101/2021.03.12.435171])
## TrUE-Net tumour segmentation results:
<img width="750"
......@@ -244,8 +244,8 @@ If you use the tool from this repository, please cite the following papers (jour
- Sundaresan V., Griffanti L., Jenkinson M. (2021) Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images. In: Crimi A., Bakas S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Lecture Notes in Computer Science, vol 12658. Springer, Cham. [DOI: https://doi.org/10.1007/978-3-030-72084-1_31]
- Sundaresan, V., Griffanti, L. and Jenkinson, M., 2021. Brain tumour segmentation using a triplanar ensemble of U-Nets. arXiv preprint arXiv:2105.11356.
- Sundaresan, V., Zamboni, G., Rothwell, P.M., Jenkinson, M. and Griffanti, L., 2021. Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images. Medical Image Analysis, p.102184. [DOI: https://doi.org/10.1016/j.media.2021.102184] (preprint available at [DOI: https://doi.org/10.1101/2020.07.24.219485])
- Sundaresan, V., Zamboni, G., Dinsdale, N. K., Rothwell, P. M., Griffanti, L., & Jenkinson, M. (2021). Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images. bioRxiv. [DOI: https://doi.org/10.1101/2021.03.12.435171]
- Sundaresan, V., Zamboni, G., Rothwell, P.M., Jenkinson, M. and Griffanti, L., 2021. Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images. Medical Image Analysis, p.102184. [DOI: https://doi.org/10.1016/j.media.2021.102184] (preprint available at [DOI: https://doi.org/10.1101/2020.07.24.219485]).
- Sundaresan, V., Zamboni, G., Dinsdale, N. K., Rothwell, P. M., Griffanti, L., & Jenkinson, M. (2021). Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images. Medical Image Analysis, p. 102215. [DOI: https://doi.org/10.1016/j.media.2021.102215] (preprint available at [DOI: https://doi.org/10.1101/2021.03.12.435171]).
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