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Nikolaos Stogiannos
Nikolaos Stogiannos
City, University of London
在 city.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1172020
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
332022
Identifying cardiomegaly in chest X-rays: a cross-sectional study of evaluation and comparison between different transfer learning methods
H Bougias, E Georgiadou, C Malamateniou, N Stogiannos
Acta Radiologica 62 (12), 1601-1609, 2021
192021
Breast MRI: Where are we currently standing?
H Bougias, N Stogiannos
Journal of Medical Imaging and Radiation Sciences 53 (2), 203-211, 2022
162022
Autism-friendly MRI: Improving radiography practice in the UK, a survey of radiographer practitioners
N Stogiannos, JM Harvey–Lloyd, B Nugent, A Brammer, S Carlier, ...
Radiography 28 (1), 133-141, 2022
142022
Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK
N Stogiannos, R Malik, A Kumar, A Barnes, M Pogose, H Harvey, ...
British Journal of Radiology, 2023
132023
Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe
G Walsh, N Stogiannos, R Van de Venter, C Rainey, W Tam, S McFadden, ...
BJR| open 5 (1), 20230033, 2023
122023
Toward autism-friendly magnetic resonance imaging: exploring autistic individuals' experiences of magnetic resonance imaging scans in the United Kingdom, a cross-sectional survey
N Stogiannos, JM Harvey-Lloyd, A Brammer, K Cleaver, JP McNulty, ...
Autism in adulthood 5 (3), 248-262, 2023
72023
A cross-sectional study of Explainable Machine Learning in Alzheimer's Disease: Diagnostic Classification using MR Radiomic features.
S Leandrou, D Lamnisos, H Bougias, N Stogiannos, E Georgiadou, ...
Frontiers in Aging Neuroscience 15, 374, 2023
72023
Strategies to improve the magnetic resonance imaging experience for autistic individuals: a cross-sectional study exploring parents and carers’ experiences
N Stogiannos, G Pavlopoulou, C Papadopoulos, G Walsh, B Potts, ...
BMC health services research 23 (1), 1375, 2023
62023
Investigating MRI safety practices in Greece. A national survey
N Stogiannos, C Westbrook
Hellenic Journal οf Radiology 5 (2), 2020
62020
Reducing patient’s psychological stress. A guide for MR technologists
N Stogiannos
Hellenic Journal οf Radiology 4 (1), 2019
62019
Leadership and resilience in adversity: the impact of COVID-19 on radiography researchers and ways forward
N Stogiannos, E Skelton, C Rogers, M Sharma, S Papathanasiou, ...
Journal of Medical Imaging and Radiation Sciences 53 (4), S47-S52, 2022
52022
Black box no more: A cross-sectional multi-disciplinary survey for exploring governance and guiding adoption of AI in medical imaging and radiotherapy in the UK
N Stogiannos, L Litosseliti, T O'regan, E Scurr, A Barnes, A Kumar, ...
International Journal of Medical Informatics 186, 2024
42024
Analysis of radiomic features derived from post-contrast T1-weighted images and apparent diffusion coefficient (ADC) maps for breast lesion evaluation: A retrospective study
N Stogiannos, H Bougias, E Georgiadou, S Leandrou, P Papavasileiou
Radiography 29 (2), 355-361, 2023
42023
AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers
N Stogiannos, T O'Regan, E Scurr, L Litosseliti, M Pogose, H Harvey, ...
Radiography 30 (2), 612-621, 2024
32024
Radiomics for Alzheimer's Disease: Fundamental Principles and Clinical Applications
E Georgiadou, H Bougias, S Leandrou, N Stogiannos
Advances in Experimental Medicine and Biology 1424, 297-311, 2023
22023
The effect of ethics on professional practice for mr technologists
N Stogiannos
Radiologic Technology 90 (5), 513-516, 2019
22019
A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders
N Stogiannos, C Gillan, H Precht, C Sá Dos Reis, A Kumar, T O'Regan, ...
Journal of medical imaging and radiation sciences 55 (4), 101717, 2024
2024
The American Society of Radiologic Technologists (ASRT) AI educator survey: A cross-sectional study to explore knowledge, experience, and use of AI within education
MC Stogiannos N, Jennings M, St George C, Culbertson J, Salehi H, Furterer S ...
Journal of Medical Imaging & Radiation Sciences 55 (4), 2024
2024
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