| Fast volume reconstruction from motion corrupted stacks of 2D slices B Kainz, M Steinberger, W Wein, M Kuklisova-Murgasova, ... IEEE transactions on medical imaging 34 (9), 1901-1913, 2015 | 206 | 2015 |
| Motion-compensation techniques in neonatal and fetal MR imaging C Malamateniou, SJ Malik, SJ Counsell, JM Allsop, AK McGuinness, ... American Journal of Neuroradiology 34 (6), 1124-1136, 2013 | 153 | 2013 |
| Association of cardiovascular risk factors with MRI indices of cerebrovascular structure and function and white matter hyperintensities in young adults W Williamson, AJ Lewandowski, ND Forkert, L Griffanti, TW Okell, J Betts, ... Jama 320 (7), 665-673, 2018 | 145 | 2018 |
| Magnetic resonance imaging in hypoxic-ischaemic encephalopathy M Rutherford, C Malamateniou, A McGuinness, J Allsop, MM Biarge, ... Early human development 86 (6), 351-360, 2010 | 135 | 2010 |
| COVID-19 in the radiology department: what radiographers need to know N Stogiannos, D Fotopoulos, N Woznitza, C Malamateniou Radiography 26 (3), 254-263, 2020 | 119 | 2020 |
| Automated fetal brain segmentation from 2D MRI slices for motion correction K Keraudren, M Kuklisova-Murgasova, V Kyriakopoulou, C Malamateniou, ... NeuroImage 101, 633-643, 2014 | 109 | 2014 |
| Fast fully automatic segmentation of the human placenta from motion corrupted MRI A Alansary, K Kamnitsas, A Davidson, R Khlebnikov, M Rajchl, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 92 | 2016 |
| Resting State fMRI in the moving fetus: a robust framework for motion, bias field and spin history correction G Ferrazzi, MK Murgasova, T Arichi, C Malamateniou, MJ Fox, ... Neuroimage 101, 555-568, 2014 | 85 | 2014 |
| 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 143, 104271, 2020 | 83 | 2020 |
| Artificial intelligence in radiography: where are we now and what does the future hold? C Malamateniou, KM Knapp, M Pergola, N Woznitza, M Hardy Radiography 27, S58-S62, 2021 | 69 | 2021 |
| 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 | 60 | 2021 |
| Radiography and research: a United Kingdom perspective C Malamateniou European Journal of Radiography 1 (1), 2-6, 2009 | 60 | 2009 |
| An exploration of the potential utility of fetal cardiovascular MRI as an adjunct to fetal echocardiography DFA Lloyd, JFP Van Amerom, K Pushparajah, JM Simpson, V Zidere, ... Prenatal Diagnosis 36 (10), 916-925, 2016 | 55 | 2016 |
| 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 | 51 | 2021 |
| The anatomic variations of the circle of Willis in preterm-at-term and term-born infants: an MR angiography study at 3T C Malamateniou, ME Adams, L Srinivasan, JM Allsop, SJ Counsell, ... American Journal of Neuroradiology 30 (10), 1955-1962, 2009 | 50 | 2009 |
| MR imaging of the neonatal brain at 3 Tesla M Rutherford, C Malamateniou, J Zeka, S Counsell European Journal of Paediatric Neurology 8 (6), 281-289, 2004 | 46 | 2004 |
| Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey TN Akudjedu, S Torre, R Khine, D Katsifarakis, D Newman, ... Journal of medical imaging and radiation sciences 54 (1), 104-116, 2023 | 40 | 2023 |
| Preterm nutritional intake and MRI phenotype at term age: a prospective observational study V Vasu, G Durighel, L Thomas, C Malamateniou, JD Bell, MA Rutherford, ... BMJ open 4 (5), e005390, 2014 | 39 | 2014 |
| A systematic review of person-centred adjustments to facilitate magnetic resonance imaging for autistic patients without the use of sedation or anaesthesia N Stogiannos, S Carlier, JM Harvey-Lloyd, A Brammer, B Nugent, ... Autism 26 (4), 782-797, 2022 | 34 | 2022 |
| Snapshot inversion recovery: an optimized single-shot T1-weighted inversion-recovery sequence for improved fetal brain anatomic delineation C Malamateniou, AK McGuinness, JM Allsop, DP O’Regan, ... Radiology 258 (1), 229-235, 2011 | 32 | 2011 |
