Ahmed E. Fetit

17 papers Journal 4Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification. CoRR Yixuan Liu, Kanwal K. Bhatia, Ahmed E. Fetit
2023	—	`conf`	Web-Based AI System for Medical Image Segmentation. MIUA Hao Chen, Taowen Liu, Songyun Hu, Leyang Yu, Yiqi Li, Sihan Tao, Jacqueline Lee, Ahmed E. Fetit
2022	J	`jnl`	Accurate segmentation of neonatal brain MRI with deep learning. Frontiers Neuroinformatics Leonie Richter, Ahmed E. Fetit
2022	—	`conf`	How Effective is Adversarial Training of CNNs in Medical Image Analysis? MIUA Yiming Xie, Ahmed E. Fetit
2022	J	`jnl`	Reducing CNN Textural Bias With k-Space Artifacts Improves Robustness. IEEE Access Yaniel Cabrera, Ahmed E. Fetit
2021	—	`conf`	Reducing Textural Bias Improves Robustness of Deep Segmentation Models. MIUA Seoin Chai, Daniel Rueckert, Ahmed E. Fetit
2020	—	`conf`	A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling. MIDL 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
2020	J	`jnl`	Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs. CoRR Seoin Chai, Daniel Rueckert, Ahmed E. Fetit
2020	—	`conf`	Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. MIUA 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
2020	—	`conf`	Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain. MIDL Ahmed E. Fetit, John Cupitt, Turkay Kart, Daniel Rueckert
2018	—	`conf`	XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference. PRIME@MICCAI Sophia Bano, Muhammad Asad, Ahmed E. Fetit, Islem Rekik
2017	—	`conf`	Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. FIFI/OMIA@MICCAI 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
2015	—	`conf`	#DigitalHealth: Exploring Users' Perspectives through Social Media Analysis. ICIMTH Soroosh Afyouni, Ahmed E. Fetit, Theodoros N. Arvanitis
2015	—	`conf`	3D Texture Analysis of Heterogeneous MRI Data for Diagnostic Classification of Childhood Brain Tumours. ICIMTH Ahmed E. Fetit, Jan Novák, Daniel Rodríguez, Dorothee P. Auer, Chris A. Clark, Richard G. Grundy, Tim Jaspan, Andrew C. Peet, Theodoros N. Arvanitis
2015	—	`conf`	An Extensible Neuroimaging e-Repository for Clinical Trials of Paediatric Brain Tumours. ICIMTH Ahmed E. Fetit, Omar Khan, Soroosh Afyouni, Niloufar Zarinabad Nooralipour, Jan Novák, Andrew C. Peet, Theodoros N. Arvanitis
2014	—	`conf`	3D texture analysis of MR images to improve classification of paediatric brain tumours: a preliminary study. ICIMTH Ahmed E. Fetit, Jan Novák, Andrew C. Peet, Theodoros N. Arvanitis
2013	—	`conf`	MRI Texture Analysis in Paediatric Oncology: A Preliminary Study. ICIMTH Ahmed E. Fetit, Jan Novák, Daniel Rodríguez, Dorothee P. Auer, Chris A. Clark, Richard G. Grundy, Tim Jaspan, Andrew Peet, Theodoros N. Arvanitis