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Frontiers in Neuroinformatics|October 17, 2022
Accurate segmentation of neonatal brain MRI with deep learningLeonie Richter, Ahmed E FetitStudies in Health Technology and Informatics|July 9, 2015
#DigitalHealth: Exploring Users' Perspectives through Social Media AnalysisSoroosh Afyouni, Ahmed E Fetit, Theodoros N ArvanitisStudies in Health Technology and Informatics|July 8, 2014
3D texture analysis of MR images to improve classification of paediatric brain tumours: a preliminary studyAhmed E Fetit, Jan Novak, Andrew C Peet, et al.NMR in Biomedicine|August 11, 2015
Three-dimensional textural features of conventional MRI improve diagnostic classification of childhood brain tumoursAhmed E Fetit, Jan Novak, Andrew C Peet, et al.Brain Topography|March 17, 2026
3D Texture Analysis of the Corpus Callosum in T1-Weighted MR Images of Children with a Traumatic Brain InjuryJan Novak, Ahmed E Fetit, Daniel Griffiths-King, et al.Studies in Health Technology and Informatics|July 9, 2015
An Extensible Neuroimaging e-Repository for Clinical Trials of Paediatric Brain TumoursAhmed E Fetit, Omar Khan, Soroosh Afyouni, et al.NMR in Biomedicine|October 27, 2017
Radiomics in paediatric neuro-oncology: A multicentre study on MRI texture analysisAhmed E Fetit, Jan Novak, Daniel Rodriguez, et al.Studies in Health Technology and Informatics|July 9, 2015
3D Texture Analysis of Heterogeneous MRI Data for Diagnostic Classification of Childhood Brain TumoursAhmed E Fetit, Jan Novak, Daniel Rodriguez, et al.Scientific Reports|March 7, 2019
A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical featuresAhmed E Fetit, Alexander S Doney, Stephen Hogg, et al.Communications Biology|June 22, 2023
Maturational networks of human fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposureVyacheslav R Karolis, Sean P Fitzgibbon, Lucilio Cordero-Grande, et al.Pageof 2