Personal profile
Overview
I am a research associate working in the Radiotherapy Related Research department at The University of Manchester. My research interests are in applying artificial intelligence methods to optimise adaptive radiotherapy. In particular, I design and implement convolutional neural networks for the automatic segmentation and registration of large 3D medical images.
Education/Academic qualification
Master of Physics, The University of Manchester
Award Date: 11 Jul 2019
Research Beacons, Institutes and Platforms
- Cancer
- Manchester Cancer Research Centre
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
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Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report
Huijben, E. M. C., Terpstra, M. L., Galapon, A. J., Pai, S., Thummerer, A., Koopmans, P., Afonso, M., van Eijnatten, M., Gurney-Champion, O., Chen, Z., Zhang, Y., Zheng, K., Li, C., Pang, H., Ye, C., Wang, R., Song, T., Fan, F., Qiu, J. & Huang, Y. & 39 others, , 1 Oct 2024, In: Medical Image Analysis. 97, 103276.Research output: Contribution to journal › Article › peer-review
Open Access -
Accurate segmentation of head and neck radiotherapy CT scans with 3D CNNs: consistency is key
Henderson, E., Vasquez osorio, E., Van herk, M., Brouwer, C. L., Steenbakkers, R. J. H. M. & Green, A. F., 9 Mar 2023, (E-pub ahead of print) In: Physics in Medicine & Biology.Research output: Contribution to journal › Article › peer-review
Open Access -
Limitations of Automated Segmentation Tools for Breast Tissue in Young Women Treated with Radiotherapy to the Chest
Chamberlin, H., Henderson, E., Cowan, R., Anandadas, C., Hague, C., Wilson, F., Radford, J., Howell, S., Astley, S., Aznar, M. & Osorio, E. V., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society , (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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PO-1616 The importance of regional analysis in contour comparison
Chamberlin, H., Henderson, E., Cowan, R., Anandadas, C., Wilson, F., Hague, C., Chan, C., Davies, L., Daly, M., Eccles, C., Harris, M., Maxwell, M., Oong, Z., Turpin, Z., Radford, J., Howell, S., Astley, S., Aznar, M. & Osorio, E., May 2023, In: Radiotherapy and Oncology. 182, p. S1310-S1311 2 p.Research output: Contribution to journal › Meeting Abstract › peer-review
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The Impact of Training Dataset Size and Ensemble Inference Strategies on Head and Neck Auto-Segmentation
Henderson, E. G. A., Van herk, M. & Osorio, E. M. V., 18 Apr 2023, p. 1-4.Research output: Contribution to conference › Paper › peer-review
Thesis
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Deep learning for image segmentation and registration in radiotherapy
Henderson, E. (Author), Vasquez Osorio, E. (Main Supervisor), Green, A. (Co Supervisor) & Van Herk, M. (Co Supervisor), 13 Feb 2024Student thesis: Phd
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