Maturational networks of human fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposure

Autor: Vyacheslav R. Karolis, Sean P. Fitzgibbon, Lucilio Cordero-Grande, Seyedeh-Rezvan Farahibozorg, Anthony N. Price, Emer J. Hughes, Ahmed E. Fetit, Vanessa Kyriakopoulou, Maximilian Pietsch, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal, A. David Edwards, Jonathan O’Muircheartaigh, Eugene P. Duff, Tomoki Arichi

Publikováno v: Communications Biology, Vol 6, Iss 1, Pp 1-15 (2023)

Abstract A key feature of the fetal period is the rapid emergence of organised patterns of spontaneous brain activity. However, characterising this process in utero using functional MRI is inherently challenging and requires analytical methods which

Externí odkaz: https://doaj.org/article/8b26d1710c684b05ae543b938ee12639

Accurate segmentation of neonatal brain MRI with deep learning

Autor: Leonie Richter, Ahmed E. Fetit

Publikováno v: Frontiers in Neuroinformatics, Vol 16 (2022)

An important step toward delivering an accurate connectome of the human brain is robust segmentation of 3D Magnetic Resonance Imaging (MRI) scans, which is particularly challenging when carried out on perinatal data. In this paper, we present an auto

Externí odkaz: https://doaj.org/article/809c6660b8814669b11101aaeb744fe8

Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population

Autor: Lucia Ballerini, Ruggiero Lovreglio, Sarah McGrory, Stephan Wunderlich, Joanna M. Wardlaw, Emanuele Trucco, Ahmed E. Fetit, Fergus N. Doubal, Maria del C. Valdés-Hernández, Tom MacGillivray, Ian J. Deary

Publikováno v: Communications in Computer and Information Science ISBN: 9783030527907
MIUA

The retinal and cerebral microvasculatures share many morphological and physiological properties. In this pilot we study the strength of the associations between morphological measurements of the retinal vasculature, obtained from fundus camera image

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8def874807673b09697b3085b1e5bcf0
https://doi.org/10.1007/978-3-030-52791-4_31

A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical features

Autor: Ahmed E. Fetit, Alexander S. Doney, Stephen Hogg, Ruixuan Wang, Tom MacGillivray, Joanna M. Wardlaw, Fergus N. Doubal, Gareth J. McKay, Stephen McKenna, Emanuele Trucco

Publikováno v: Fetit, A E, Doney, A S, Hogg, S, Wang, R, MacGillivray, T, Wardlaw, J M, Doubal, F N, McKay, G J, McKenna, S & Trucco, E 2019, ' A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical features ', Scientific Reports, vol. 9, 3591 . https://doi.org/10.1038/s41598-019-40403-1
Fetit, A E, Doney, A S, Hogg, S, Wang, R, MacGillivray, T, Wardlaw, J M, Doubal, F N, McKay, G J, McKenna, S & Trucco, E 2019, ' A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical features ', Scientific Reports, vol. 9, no. 1, pp. 3591 . https://doi.org/10.1038/s41598-019-40403-1
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)

Cardiovascular diseases are a public health concern; they remain the leading cause of morbidity and mortality in patients with type 2 diabetes. Phenotypic information available from retinal fundus images and clinical measurements, in addition to geno

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c9dff4291dddb17d40d0f10a0d20e801
http://hdl.handle.net/10044/1/67938

XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference

Autor: Ahmed E. Fetit, Sophia Bano, Muhammad Asad, Islem Rekik

Publikováno v: PRedictive Intelligence in MEdicine ISBN: 9783030003197
PRIME@MICCAI

Magnetic resonance imaging (MRI) can generate multimodal scans with complementary contrast information, capturing various anatomical or functional properties of organs of interest. But whilst the acquisition of multiple modalities is favourable in cl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ed001e856837f1e2ef95c3afa040d6b4
https://doi.org/10.1007/978-3-030-00320-3_16