Edward Henderson

Search results

• 2024

  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, Ha, J., Sung Park, J., Alain-Beaudoin, A., Bériault, S., Yu, P., Guo, H., Huang, Z., Li, G., Zhang, X., Fan, Y., Liu, H., Xin, B., Nicolson, A., Zhong, L., Deng, Z., Müller-Franzes, G., Khader, F., Li, X., Zhang, Y., Hémon, C., Boussot, V., Zhang, Z., Wang, L., Bai, L., Wang, S., Mus, D., Kooiman, B., Sargeant, C. A. H., Henderson, E. G. A., Kondo, S., Kasai, S., Karimzadeh, R., Ibragimov, B., Helfer, T., Dafflon, J., Chen, Z., Wang, E., Perko, Z. & Maspero, M., 1 Oct 2024, In: Medical Image Analysis. 97, 103276.

  Research output: Contribution to journal › Short survey › peer-review

  Open Access

  • Radiation Therapy 100%
  • Computer Assisted Tomography 100%
  • Electron Density 100%
  • Computed Tomography 100%
  • Image Similarity 66%
• 2023

  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

  • Large Data Set 100%
  • 3D Convolutional Neural Networks 100%
  • Radiation Therapy 100%
  • Segmentation Model 66%
  • Convolutional Neural Network 66%

• 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/Report/Conference proceeding › Conference contribution › peer-review

  • Radiation Therapy 100%
  • Breast Tissue 100%
  • Contouring 100%
  • Breast Cancer 50%
  • Arm 50%

• 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

• 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

  • Ensemble Method 100%
  • Training Dataset 100%
  • Ensemble Technique 50%
  • Segmentation Model 50%
  • 3D Convolutional Neural Networks 50%

• Unsupervised Correspondence with Combined Geometric Learning and Imaging for Radiotherapy Applications

  Henderson, E. G. A., Van herk, M., Green, A. F. & Osorio, E. M. V., 31 Oct 2023, Shape in Medical Imaging: International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023. Wachinger, C., Paniagua, B., Elhabian, S., Li, J. & Egger, J. (eds.). Cham, Switzerland: Springer Cham, p. 75-89 15 p. (Lecture Notes in Computer Science; vol. 14350).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Geodesics 100%
  • Configuration Model 100%
  • nonrigid registration 100%
  • image feature 100%
  • Anatomical Landmark 100%
• 2022

  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 Sept 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

  • Clinician 100%
  • Parotid Gland 100%
  • Convolutional Neural Network 100%
  • Radiation Therapy 50%
  • Transfer of Learning 50%

• 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, Qayyum, A., Conze, P.-H., Huang, Z., Zhou, Z., Fan, D.-P., Xiong, H., Dong, G., Zhu, Q., He, J. & Yang, X., Nov 2022, In: Medical Image Analysis.

  Research output: Contribution to journal › Article › peer-review

• 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

  • 3D Convolutional Neural Networks 100%
  • Training Data 100%
  • Convolutional Neural Network 100%
  • Computer Assisted Tomography 100%
  • Neck 100%

• 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

• PD-0069 Automatic detection of facial landmarks in paediatric CT scans using a convolutional neural network

  Rankin, A., Henderson, E., Umney, O., Bryce-Atkinson, A., Green, A. & Vasquez Osorio, E., May 2022, p. S43-S44. 2 p.

  Research output: Contribution to conference › Abstract › peer-review

• PD-0317 A novel method to predict OAR contour errors without a ground truth using geometric learning

  Henderson, E., Green, A., Van Herk, M. & Vasquez Osorio, E., 1 May 2022, p. S279-S280. 2 p.

  Research output: Contribution to conference › Abstract › peer-review

• Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks

  Mcsweeney, D., Henderson, E., Van Herk, M., Weaver, J., Bromiley, P., Green, A. & Mcwilliam, A., 16 Feb 2022, In: Medical Physics. 49, 5, p. 3107-3120

  Research output: Contribution to journal › Article › peer-review
• 2021

  PO-1695 Accurate H&N 3D segmentation with limited training data using 2-stage CNNs

  Henderson, E., Vasquez Osorio, E., Van Herk, M., Brouwer, C. L., Steenbakkers, R. J. H. M. & Green, A., 1 Aug 2021, p. S1421-S1422.

  Research output: Contribution to conference › Poster › peer-review
• 2020

  PO-1755: Use of ‘Jigsaw puzzles’ to train convolutional neural networks for segmentation with limited data

  Henderson, E., Vasquez Osorio, E., Van Herk, M. & Green, A., Nov 2020, p. S976.

  Research output: Contribution to conference › Poster › peer-review