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Emily Skelton

Lecturer in Diagnostic Radiography

School of Health & Psychological Sciences Department of Midwifery and Radiography

Contact details

Address

Emily Skelton MLG02 , Myddelton Street Building [M]
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 2021 as a Lecturer in Diagnostic Imaging. She is also 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

  • Pg Cert Clinical Education, King's College London, United Kingdom, Sep 2018 – Feb 2020
  • MSc Medical Ultrasound, King's College London, United Kingdom, Jan 2011 – Mar 2013
  • BSc (Hons) Diagnostic Radiography, St George's, University of London, United Kingdom, Sep 2006 – Jul 2009

Publications

Publications by category

Chapters (8)

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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)

  • 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? doi:10.1007/978-3-030-87722-4_23
  • 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. doi:10.1007/978-3-030-87234-2_20
  • 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. doi:10.1109/ius46767.2020.9251837
  • 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. doi:10.1007/978-3-030-60334-2_26
  • 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. doi:10.1007/978-3-030-52791-4_33

Journal articles (34)