Eric O. Aboagye

14 papers A 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated opportunistic cardiovascular risk assessment in non-small cell lung cancer patients on routine chest CT using an optimised nnU-net framework. BMC Medical Imaging Jubril Olayinka Anifowose, Zechen Li, Girija Agarwal, Eric O. Aboagye, Declan P. O'Regan, Ben Ariff, Susan J. Copley, Mitchell Chen
2025	J	`jnl`	MedSR-Impact: Transformer-Based Super-Resolution for Lung CT Segmentation, Radiomics, Classification, and Prognosis. CoRR Marc Boubnovski Martell, Kristofer Linton-Reid, Mitchell Chen, Sumeet Hindocha, Benjamin Hunter, Marco A. Calzado, Richard Lee, Joram M. Posma, Eric O. Aboagye
2022	J	`jnl`	Variational Bayes for high-dimensional proportional hazards models with applications within gene expression. Bioinform. Michael Komodromos, Eric O. Aboagye, Marina Evangelou, Sarah Filippi, Kolyan Ray
2021	J	`jnl`	Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs. CoRR Marc Boubnovski Martell, Mitchell Chen, Kristofer Linton-Reid, Joram M. Posma, Susan J. Copley, Eric O. Aboagye
2021	—	`conf`	Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification. ML-CDS@MICCAI Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Eric O. Aboagye, Ben Glocker, Andrea G. Rockall
2020	J	`jnl`	Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment. CoRR Fahdi Kanavati, Shah Islam, Zohaib Arain, Eric O. Aboagye, Andrea G. Rockall
2018	J	`jnl`	Automatic L3 slice detection in 3D CT images using fully-convolutional networks. CoRR Fahdi Kanavati, Shah Islam, Eric O. Aboagye, Andrea G. Rockall
2018	J	`jnl`	Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy. CoRR Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018	A	`conf`	Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI. WACV Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018	—	`conf`	Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes. MLMI@MICCAI Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018	J	`jnl`	Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes. CoRR Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2017	J	`jnl`	Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. CoRR Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2017	J	`jnl`	Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. IEEE Trans. Medical Imaging Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2016	—	`conf`	Correction of Fat-Water Swaps in Dixon MRI. MICCAI (3) Ben Glocker, Ender Konukoglu, Ioannis Lavdas, Juan Eugenio Iglesias, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert