Ahmed E. Fetit

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 11

Top Topics

Manual Labeling

Texture Analysis

Top Venues

Frontiers Neuroinformatics

Publications

Hao Chen, Taowen Liu, Songyun Hu, Leyang Yu, Yiqi Li, Sihan Tao, Jacqueline Lee, Ahmed E. Fetit
Web-Based AI System for Medical Image Segmentation. MIUA (2023)
Yiming Xie, Ahmed E. Fetit
How Effective is Adversarial Training of CNNs in Medical Image Analysis? MIUA (2022)
Leonie Richter, Ahmed E. Fetit
Accurate segmentation of neonatal brain MRI with deep learning. Frontiers Neuroinformatics 16 (2022)
Yaniel Cabrera, Ahmed E. Fetit
Reducing CNN Textural Bias With k-Space Artifacts Improves Robustness. IEEE Access 10 (2022)
Seoin Chai, Daniel Rueckert, Ahmed E. Fetit
Reducing Textural Bias Improves Robustness of Deep Segmentation Models. MIUA (2021)
Ahmed E. Fetit, Amir Alansary, Lucilio Cordero-Grande, John Cupitt, Alice B. Davidson, A. David Edwards, Joseph V. Hajnal, Emer J. Hughes, Konstantinos Kamnitsas, Vanessa Kyriakopoulou, Antonios Makropoulos, Prachi A. Patkee, Anthony N. Price, Mary A. Rutherford, Daniel Rueckert
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling. MIDL (2020)
Lucia Ballerini, Ahmed E. Fetit, Stephan Wunderlich, Ruggiero Lovreglio, Sarah McGrory, Maria del Carmen Valdés Hernández, Tom J. MacGillivray, Fergus Doubal, Ian J. Deary, Joanna M. Wardlaw, Emanuele Trucco
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. MIUA (2020)
Ahmed E. Fetit, John Cupitt, Turkay Kart, Daniel Rueckert
Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain. MIDL (2020)
Seoin Chai, Daniel Rueckert, Ahmed E. Fetit
Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs. CoRR (2020)
Sophia Bano, Muhammad Asad, Ahmed E. Fetit, Islem Rekik
XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference. PRIME@MICCAI (2018)
Ahmed E. Fetit, Siyamalan Manivannan, Sarah McGrory, Lucia Ballerini, Alexander S. Doney, Thomas J. MacGillivray, Ian J. Deary, Joanna M. Wardlaw, Fergus Doubal, Gareth J. McKay, Stephen J. McKenna, Emanuele Trucco
Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. FIFI/OMIA@MICCAI (2017)
Ahmed E. Fetit, Jan Novák, Daniel Rodríguez, Dorothee P. Auer, Chris A. Clark, Richard G. Grundy, Tim Jaspan, Andrew C. Peet, Theodoros N. Arvanitis
3D Texture Analysis of Heterogeneous MRI Data for Diagnostic Classification of Childhood Brain Tumours. ICIMTH (2015)
Ahmed E. Fetit, Omar Khan, Soroosh Afyouni, Niloufar Zarinabad Nooralipour, Jan Novák, Andrew C. Peet, Theodoros N. Arvanitis
An Extensible Neuroimaging e-Repository for Clinical Trials of Paediatric Brain Tumours. ICIMTH (2015)
Soroosh Afyouni, Ahmed E. Fetit, Theodoros N. Arvanitis
#DigitalHealth: Exploring Users' Perspectives through Social Media Analysis. ICIMTH (2015)
Ahmed E. Fetit, Jan Novák, Andrew C. Peet, Theodoros N. Arvanitis
3D texture analysis of MR images to improve classification of paediatric brain tumours: a preliminary study. ICIMTH (2014)
Ahmed E. Fetit, Jan Novák, Daniel Rodríguez, Dorothee P. Auer, Chris A. Clark, Richard G. Grundy, Tim Jaspan, Andrew Peet, Theodoros N. Arvanitis
MRI Texture Analysis in Paediatric Oncology: A Preliminary Study. ICIMTH (2013)