Research output per year
Research output per year
Personal profile
Overview
I am a PhD student 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.
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):
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
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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 -
Automatic Identification of Segmentation Errors for Radiotherapy Using Geometric Learning
Henderson, E. G. A., Green, A. F., Herk, M. V. & Vasquez Osorio, E. M., 16 Sep 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part V. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Nature Switzerland AG, Vol. 13435. p. 319-329 11 p. (Lecture Notes in Computer Science; vol. 13435).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge
Ma, J., Zhang, Y., Gu, S., An, X., Wang, Z., Ge, C., Wang, C., Zhang, F., Wang, Y., Xu, Y., Gou, S., Thaler, F., Payer, C., Štern, D., Henderson, E. G. A., McSweeney, D. M., Green, A., Jackson, P., McIntosh, L., Nguyen, Q-C., & 10 others, Nov 2022, In: Medical Image Analysis.Research output: Contribution to journal › Article › peer-review
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Optimising a 3D convolutional neural network for head and neck computed tomography segmentation with limited training data
Henderson, E., Vasquez Osorio, E., Van Herk, M. & Green, A., 20 Apr 2022, (Accepted/In press) In: Physics and Imaging in Radiation Oncology.Research output: Contribution to journal › Article › peer-review
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PD-0064 Multicenter comparison of measures for quantitative evaluation of automatic contouring
Brunenberg, E., Derks van de Ven, J., Gooding, M., Boukerroui, D., Gan, Y., Henderson, E., Sharp, G. C., Vaasen, F., Vasquez Osorio, E., Yang, J. & Monshouwer, R., May 2022, p. S37-S38. 2 p.Research output: Contribution to conference › Abstract › peer-review