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Ahmed E. Fetit
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2020 – today
- 2023
- [c13]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: 231-241 - 2022
- [j2]Yaniel Cabrera
, Ahmed E. Fetit
:
Reducing CNN Textural Bias With k-Space Artifacts Improves Robustness. IEEE Access 10: 58431-58446 (2022) - [j1]Leonie Richter, Ahmed E. Fetit:
Accurate segmentation of neonatal brain MRI with deep learning. Frontiers Neuroinformatics 16 (2022) - [c12]Yiming Xie, Ahmed E. Fetit:
How Effective is Adversarial Training of CNNs in Medical Image Analysis? MIUA 2022: 443-457 - 2021
- [c11]Seoin Chai, Daniel Rueckert, Ahmed E. Fetit:
Reducing Textural Bias Improves Robustness of Deep Segmentation Models. MIUA 2021: 294-304 - 2020
- [c10]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: 230-240 - [c9]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: 241-261 - [c8]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: 400-409 - [i1]Seoin Chai, Daniel Rueckert, Ahmed E. Fetit:
Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs. CoRR abs/2011.15093 (2020)
2010 – 2019
- 2018
- [c7]Sophia Bano
, Muhammad Asad, Ahmed E. Fetit, Islem Rekik:
XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference. PRIME@MICCAI 2018: 129-137 - 2017
- [c6]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: 150-158 - 2015
- [c5]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: 19-22 - [c4]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: 49-52 - [c3]Soroosh Afyouni, Ahmed E. Fetit, Theodoros N. Arvanitis
:
#DigitalHealth: Exploring Users' Perspectives through Social Media Analysis. ICIMTH 2015: 243-246 - 2014
- [c2]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: 213-216 - 2013
- [c1]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: 169-171
Coauthor Index
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