Vince I. Madai

Orcid: 0000-0002-8552-6954

According to our database1, Vince I. Madai authored at least 17 papers between 2020 and 2023.

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Bibliography

2023
Lessons Learned from Assessing Trustworthy AI in Practice.
Digit. Soc., December, 2023

Generating evidence on privacy outcomes to inform privacy risk management: A way forward?
J. Biomed. Informatics, January, 2023

From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU.
CoRR, 2023

2022
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks.
Medical Image Anal., 2022

Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks.
Frontiers Artif. Intell., 2022

How to Assess Trustworthy AI in Practice.
CoRR, 2022

The social dilemma in artificial intelligence development and why we have to solve it.
AI Ethics, 2022

2021
Artificial Intelligence in Healthcare: Lost In Translation?
CoRR, 2021

The social dilemma in AI development and why we have to solve it.
CoRR, 2021

Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks.
Comput. Biol. Medicine, 2021

An evaluation of performance measures for arterial brain vessel segmentation.
BMC Medical Imaging, 2021

2020
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective.
BMC Medical Informatics Decis. Mak., 2020

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease.
Frontiers Artif. Intell., 2020

Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks.
CoRR, 2020

On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking.
CoRR, 2020

From Bit to Bedside: A Practical Framework for Artificial Intelligence Product Development in Healthcare.
Adv. Intell. Syst., 2020

Multimodal Fusion Strategies for Outcome Prediction in Stroke.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020


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