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Emily Skelton

Research Student

School of Health Sciences Division of Midwifery and Radiography

Contact details

Address

Emily Skelton City, University of London
Northampton Square
London EC1V 0HB
United Kingdom

About

Overview

Emily is Diagnostic Radiographer specialising in Medical Ultrasound. She joined City, University of London in 2020 as a research student within the Division of Radiography and Midwifery. Her study explores parents' experiences of antenatal imaging and their effect on the developing parent-fetal bond. This work is jointly funded by the Society and College of Radiographers Doctoral Fellowship Award (DF017), the SHS Research Sustainability Fund, and the Radiography Research Fund from City, University of London.

Her professional and research interests include clinical education and training, advancing imaging technologies, parent-centred care, and strengthening patient, public and practitioner partnerships to improve healthcare experiences for everyone.

Qualifications

  1. Pg Cert, King's College London, United Kingdom, Sep 2018 – Feb 2020
  2. MSc, King's College London, United Kingdom, Jan 2011 – Mar 2013
  3. BSc (Hons), St George's, University of London, United Kingdom, Sep 2006 – Jul 2009

Memberships of professional organisations

  1. British Medical Ultrasound Society
  2. Fetal Medicine Foundation
  3. Fellow, Higher Education Academy
  4. Health and Care Professions Council

Research

Title of thesis: Maternal and paternal experiences of antenatal imaging and their potential effect on parent-fetal bonding (attachment)

Feb 2020

Summary of research

This research project explores how fetal imaging can affect the bond that parents develop to their unborn babies. Imaging during pregnancy is thought to enhance this relationship, however there is limited research into how advanced imaging techniques (e.g. 3D/4D ultrasound and magnetic resonance imaging) can impact on parents.

1st supervisor

  • Professor Susan Ayers, Professor of Maternal and Child Health

2nd supervisor

  • Dr Christina Malamateniou, Postgraduate Programme director (taught and research) for Radiography

External supervisor

  • Rutherford, M. King's College London.

Publications

Publications by category

Chapters (8)

  1. Wang, S., Housden, J., Noh, Y., Singh, D., Singh, A., Skelton, E. … Rhode, K. (2019). Robotic-Assisted Ultrasound for Fetal Imaging: Evolution from Single-Arm to Dual-Arm System. Towards Autonomous Robotic Systems (pp. 27–38). Springer International Publishing. ISBN 978-3-030-25331-8.
  2. Wright, R., Toussaint, N., Gomez, A., Zimmer, V., Khanal, B., Matthew, J. … Schnabel, J.A. (2019). Complete Fetal Head Compounding from Multi-view 3D Ultrasound. Lecture Notes in Computer Science (pp. 384–392). Springer International Publishing. ISBN 978-3-030-32247-2.
  3. Zimmer, V.A., Gomez, A., Skelton, E., Toussaint, N., Zhang, T., Khanal, B. … Schnabel, J.A. (2019). Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images. Lecture Notes in Computer Science (pp. 628–636). Springer International Publishing. ISBN 978-3-030-32253-3.
  4. Gomez, A., Zimmer, V., Toussaint, N., Wright, R., Clough, J.R., Khanal, B. … Schnabel, J.A. (2019). Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging. Machine Learning for Medical Image Reconstruction (pp. 226–235). Springer International Publishing. ISBN 978-3-030-33842-8.
  5. Wright, R., Khanal, B., Gomez, A., Skelton, E., Matthew, J., Hajnal, J.V. … Schnabel, J.A. (2018). LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images. Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis (pp. 149–159). Springer International Publishing. ISBN 978-3-030-00806-2.
  6. Khanal, B., Gomez, A., Toussaint, N., McDonagh, S., Zimmer, V., Skelton, E. … Kainz, B. (2018). EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis (pp. 117–127). Springer International Publishing. ISBN 978-3-030-00806-2.
  7. Zimmer, V.A., Gomez, A., Noh, Y., Toussaint, N., Khanal, B., Wright, R. … Schnabel, J.A. (2018). Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding. Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis (pp. 107–116). Springer International Publishing. ISBN 978-3-030-00806-2.
  8. Toussaint, N., Khanal, B., Sinclair, M., Gomez, A., Skelton, E., Matthew, J. … Schnabel, J.A. (2018). Weakly Supervised Localisation for Fetal Ultrasound Images. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (pp. 192–200). Springer International Publishing. ISBN 978-3-030-00888-8.

Conference papers and proceedings (5)

  1. Budd, S., Sinclair, M., Day, T., Vlontzos, A., Tan, J., Liu, T. … Kainz, B. (2021). Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps.
  2. Budd, S., Day, T., Simpson, J., Lloyd, K., Matthew, J., Skelton, E. … Kainz, B. (2021). Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?
  3. Peralta, L., Zimmer, V.A., Christensen-Jeffries, K., Ramalli, A., Skelton, E., Matthew, J. … V Hajnal, J. (2020). Coherent Multi-Transducer Ultrasound Imaging: first in vivo results. 2020 IEEE International Ultrasonics Symposium (IUS) 7-11 September.
  4. Zimmer, V.A., Gomez, A., Skelton, E., Ghavami, N., Wright, R., Li, L. … Schnabel, J.A. (2020). A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation.
  5. Magnetti, C., Zimmer, V., Ghavami, N., Skelton, E., Matthew, J., Lloyd, K. … Gomez, A. (2020). Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time.

Journal articles (19)

  1. Malamateniou, C., McFadden, S., McQuinlan, Y., England, A., Woznitza, N., Goldsworthy, S. … O'Regan, T. (2021). Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group. Radiography, 27(4), pp. 1192–1202. doi:10.1016/j.radi.2021.07.028.
  2. Matthew, J., Skelton, E., Day, T.G., Zimmer, V.A., Gomez, A., Wheeler, G. … Hajnal, J. (2021). Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time. Prenatal Diagnosis. doi:10.1002/pd.6059.
  3. Skelton, E., Matthew, J., Li, Y., Khanal, B., Cerrolaza Martinez, J.J., Toussaint, N. … Rutherford, M. (2021). Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison. Radiography, 27(2), pp. 519–526. doi:10.1016/j.radi.2020.11.006.
  4. Housden, J., Wang, S., Bao, X., Zheng, J., Skelton, E., Matthew, J. … Rhode, K. (2021). Towards Standardized Acquisition With a Dual-Probe Ultrasound Robot for Fetal Imaging. IEEE Robotics and Automation Letters, 6(2), pp. 1059–1065. doi:10.1109/lra.2021.3056033.
  5. Matthew, J., Skelton, E., Story, L., Davidson, A., Knight, C.L., Gupta, C. … Rutherford, M. (2021). MRI-Derived Fetal Weight Estimation in the Midpregnancy Fetus: A Method Comparison Study. Fetal Diagnosis and Therapy, 48(10), pp. 708–719. doi:10.1159/000519115.
  6. Skelton, E., Drey, N., Rutherford, M., Ayers, S. and Malamateniou, C. (2020). Electronic consenting for conducting research remotely: A review of current practice and key recommendations for using e-consenting. International Journal of Medical Informatics, 143, pp. 104271–104271. doi:10.1016/j.ijmedinf.2020.104271.
  7. Sinnott, J.D., Mortimer, R., Smith, J., Skelton, E., Drinkwater, K., Lipscomb, D. … Howlett, D.C. (2017). The effect of routine radiological reporting of thyroid incidentalomas on rates of thyroid needle biopsy, thyroid surgery and detection of thyroid malignancy. Clinical Endocrinology, 87(6), pp. 825–831. doi:10.1111/cen.13424.
  8. Howlett, D.C., Skelton, E. and Moody, A.B. (2015). Establishing an accurate diagnosis of a parotid lump: evaluation of the current biopsy methods – fine needle aspiration cytology, ultrasound-guided core biopsy, and intraoperative frozen section. British Journal of Oral and Maxillofacial Surgery, 53(7), pp. 580–583. doi:10.1016/j.bjoms.2015.03.015.
  9. Skelton, E., Jewison, A., Okpaluba, C., Sallomi, J., Lowe, J., Ramesar, K. … Howlett, D.C. (2015). Image-guided core needle biopsy in the diagnosis of malignant lymphoma. European Journal of Surgical Oncology (EJSO), 41(7), pp. 852–858. doi:10.1016/j.ejso.2015.04.015.
  10. Skelton, E. and Howlett, D. (2015). Axial T2 weighted magnetic resonance image at the level of the lateral ventricles. BMJ, 350(mar25 4). doi:10.1136/bmj.h1609.
  11. Skelton, E., Moody, A.B., Anderson, H.J. and Howlett, D.C. (2015). A post-traumatic pulsatile nodule in the right pre-auricular region. BMJ, 350(mar24 3). doi:10.1136/bmj.h1441.
  12. Skelton, E. and Howlett, D. (2015). Axial T1 weighted magnetic resonance image through the upper thorax in a 20 year old woman. BMJ, 350(mar20 4). doi:10.1136/bmj.h899.
  13. Skelton, E. and Howlett, D. (2015). Coronal T2 weighted image of the right iliac fossa from a magnetic resonance enteroclysis study. BMJ, 350(mar20 2). doi:10.1136/bmj.h1540.
  14. Skelton, E., Jewison, A.C., Ramesar, K. and Howlett, D. (2015). Myoepithelial carcinoma of the parotid: a rare tumour that may provide diagnostic difficulty. Case Reports, 2015(feb26 1). doi:10.1136/bcr-2014-206163.
  15. Haldar, S., Mandalia, U., Skelton, E., Chow, V., Turner, S.S., Ramesar, K. … Howlett, D. (2015). Diagnostic investigation of parotid neoplasms: a 16-year experience of freehand fine needle aspiration cytology and ultrasound-guided core needle biopsy. International Journal of Oral and Maxillofacial Surgery, 44(2), pp. 151–157. doi:10.1016/j.ijom.2014.09.025.
  16. Howlett, D.C., Skelton, E. and Moody, A. (2015). Re: Fakhry et al., Fine needle aspiration cytology and frozen section in the diagnosis of malignant parotid tumours. International Journal of Oral and Maxillofacial Surgery, 44(1), pp. 139–140. doi:10.1016/j.ijom.2014.09.012.
  17. Skelton, E. and Howlett, D. (2014). Fibromatosis colli: The sternocleidomastoid pseudotumour of infancy. Journal of Paediatrics and Child Health, 50(10), pp. 833–835. doi:10.1111/jpc.12506.
  18. Skelton, E. and Howlett, D.C. (2014). Axial post-contrast computed tomogram at the level of the aortic arch. BMJ, 348(jun18 17). doi:10.1136/bmj.g3948.
  19. Jewison, A.C., Tilliridou, V., Skelton, E., Howlett, D.C. and Evans, G. (2014). A man with a palpable abdominal mass and night sweats. BMJ, 348(apr24 1). doi:10.1136/bmj.g2834.

Professional activities

Other (2)

  1. Ultrasound Advisory Group, Society and College of Radiographers.
  2. Imaging & Therapy Practice Editorial Board, Society and College of Radiographers.