| 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 | 79 | 2020 |
| 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 | 67 | 2015 |
| 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 | 52 | 2015 |
| 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 | 51 | 2021 |
| 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 | 50 | 2015 |
| 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 | 46 | 2021 |
| 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 | 42 | 2019 |
| 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 | 36 | 2018 |
| 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 | 31 | 2022 |
| Fibromatosis colli: the sternocleidomastoid pseudotumour of infancy. E Skelton, D Howlett Journal of Paediatrics & Child Health 50 (10), 2014 | 26 | 2014 |
| 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 | 25 | 2021 |
| 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 | 25 | 2018 |
| 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 | 22 | 2022 |
| 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 | 22 | 2018 |
| 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 | 20 | 2019 |
| 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 | 18 | 2023 |
| 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 | 18 | 2020 |
| 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 | 15 | 2023 |
| An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey C Rainey, T O'Regan, J Matthew, E Skelton, N Woznitza, KY Chu, ... Journal of Medical Imaging and Radiation Sciences 53 (3), 347-361, 2022 | 15 | 2022 |
| The impact of antenatal imaging on parent experience and prenatal attachment: a systematic review E Skelton, R Webb, C Malamateniou, M Rutherford, S Ayers Journal of Reproductive and Infant Psychology 42 (1), 22-44, 2024 | 14 | 2024 |
