Eric O. Aboagye
Orcid: 0000-0003-2276-6771
According to our database1,
Eric O. Aboagye
authored at least 10 papers
between 2016 and 2022.
Collaborative distances:
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Bibliography
2022
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression.
Bioinform., 2022
2021
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs.
CoRR, 2021
Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification.
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021
2020
Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment.
CoRR, 2020
2018
CoRR, 2018
CoRR, 2018
Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
2017
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.
IEEE Trans. Medical Imaging, 2017
2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016