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Ahmed E. Fetit
- > Home > Persons > Ahmed E. Fetit
Publications
- 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) - 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
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