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Emily Skelton
Emily Skelton
City, University of London
Verified email at city.ac.uk
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Electronic consenting for conducting research remotely: A review of current practice and key recommendations for using e-consenting
E Skelton, N Drey, M Rutherford, S Ayers, C Malamateniou
International Journal of Medical Informatics, 104271, 2020
622020
Image-guided core needle biopsy in the diagnosis of malignant lymphoma
E Skelton, A Jewison, C Okpaluba, J Sallomi, J Lowe, K Ramesar, ...
European Journal of Surgical Oncology (EJSO) 41 (7), 852-858, 2015
622015
Establishing an accurate diagnosis of a parotid lump: evaluation of the current biopsy methods–fine needle aspiration cytology, ultrasound-guided core biopsy, and …
DC Howlett, E Skelton, AB Moody
British Journal of Oral and Maxillofacial Surgery 53 (7), 580-583, 2015
502015
Diagnostic investigation of parotid neoplasms: a 16-year experience of freehand fine needle aspiration cytology and ultrasound-guided core needle biopsy
S Haldar, U Mandalia, E Skelton, V Chow, SS Turner, K Ramesar, ...
International journal of oral and maxillofacial surgery 44 (2), 151-157, 2015
492015
LSTM spatial co-transformer networks for registration of 3D fetal US and MR brain images
R Wright, B Khanal, A Gomez, E Skelton, J Matthew, JV Hajnal, ...
Data Driven Treatment Response Assessment and Preterm, Perinatal, and …, 2018
382018
Robotic-assisted ultrasound for fetal imaging: evolution from single-arm to dual-arm system
S Wang, J Housden, Y Noh, D Singh, A Singh, E Skelton, J Matthew, ...
Towards Autonomous Robotic Systems: 20th Annual Conference, TAROS 2019 …, 2019
372019
Beauty is in the AI of the beholder: are we ready for the clinical integration of artificial intelligence in radiography? An exploratory analysis of perceived AI knowledge …
C Rainey, T O'Regan, J Matthew, E Skelton, N Woznitza, KY Chu, ...
Frontiers in digital health 3, 739327, 2021
332021
Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group
C Malamateniou, S McFadden, Y McQuinlan, A England, N Woznitza, ...
Radiography 27 (4), 1192-1202, 2021
312021
Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time
J Matthew, E Skelton, TG Day, VA Zimmer, A Gomez, G Wheeler, ...
Prenatal diagnosis 42 (1), 49-59, 2022
242022
Multi-view image reconstruction: Application to fetal ultrasound compounding
VA Zimmer, A Gomez, Y Noh, N Toussaint, B Khanal, R Wright, L Peralta, ...
Data Driven Treatment Response Assessment and Preterm, Perinatal, and …, 2018
242018
Fibromatosis colli: the sternocleidomastoid pseudotumour of infancy.
E Skelton, D Howlett
Journal of paediatrics and child health 50 (10), 833-835, 2014
242014
Weakly supervised localisation for fetal ultrasound images
N Toussaint, B Khanal, M Sinclair, A Gomez, E Skelton, J Matthew, ...
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
212018
Towards Standardized Acquisition With a Dual-Probe Ultrasound Robot for Fetal Imaging
J Housden, S Wang, X Bao, J Zheng, E Skelton, J Matthew, Y Noh, ...
IEEE Robotics and Automation Letters 6 (2), 1059-1065, 2021
202021
Towards whole placenta segmentation at late gestation using multi-view ultrasound images
VA Zimmer, A Gomez, E Skelton, N Toussaint, T Zhang, B Khanal, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
202019
A multi-task approach using positional information for ultrasound placenta segmentation
VA Zimmer, A Gomez, E Skelton, N Ghavami, R Wright, L Li, J Matthew, ...
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis …, 2020
182020
UK reporting radiographers’ perceptions of AI in radiographic image interpretation–Current perspectives and future developments
C Rainey, T O'Regan, J Matthew, E Skelton, N Woznitza, KY Chu, ...
Radiography 28 (4), 881-888, 2022
132022
Cascaded transforming multi-task networks for abdominal biometric estimation from ultrasound
MD Sinclair, JC Martinez, E Skelton, Y Li, CF Baumgartner, W Bai, ...
Medical Imaging with Deep Learning, 2022
132022
UK obstetric sonographers’ experiences of the COVID-19 pandemic: Burnout, role satisfaction and impact on clinical practice
E Skelton, G Harrison, M Rutherford, S Ayers, C Malamateniou
Ultrasound 31 (1), 12-22, 2023
112023
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view
VA Zimmer, A Gomez, E Skelton, R Wright, G Wheeler, S Deng, ...
Medical Image Analysis 83, 102639, 2023
112023
Detecting hypo-plastic left heart syndrome in fetal ultrasound via disease-specific atlas maps
S Budd, M Sinclair, T Day, A Vlontzos, J Tan, T Liu, J Matthew, E Skelton, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
112021
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