Vince I. Madai

According to our database, Vince I. Madai authored at least 21 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks.

Felix Lohrke, Vince Istvan Madai, Tabea Kossen, Orhun Utku Aydin, Jonas Behland, Adam Hilbert, Matthias Anthony Mutke, Martin Bendszus, Jan Sobesky, Dietmar Frey

NeuroImage, 2024

Federated learning is not a cure-all for data ethics.

Marieke Ar Bak, Vince I. Madai, Leo Anthony Celi, Georgios Kaissis, Ronald Cornet, Menno Maris, Daniel Rueckert, Alena Buyx, Stuart McLennan

Nat. Mac. Intell., 2024

A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare.

Jana Fehr, Brian Citro, Rohit Malpani, Christoph Lippert, Vince I. Madai

Frontiers Digit. Health, 2024

The unmet promise of trustworthy AI in healthcare: why we fail at clinical translation.

Valerie K. Bürger, Julia Amann, Cathrine K. T. Bui, Jana Fehr, Vince I. Madai

Frontiers Digit. Health, 2024

2023

Lessons Learned from Assessing Trustworthy AI in Practice.

Dennis Vetter, Julia Amann, Frédérick Bruneault, Megan Coffee, Boris Düdder, Alessio Gallucci, Thomas Krendl Gilbert, Thilo Hagendorff, Irmhild van Halem, Eleanore Hickman, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Pedro Kringen, Vince I. Madai, Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Magnus Westerlund, Renee Wurth, Roberto V. Zicari

Digit. Soc., December, 2023

Generating evidence on privacy outcomes to inform privacy risk management: A way forward?

Daniel Strech, Tamarinde Haven, Vince I. Madai, Thierry Meurers, Fabian Prasser

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.

Patrick Rockenschaub, Adam Hilbert, Tabea Kossen, Falk von Dincklage, Vince Istvan Madai, Dietmar Frey

CoRR, 2023

2022

Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks.

Pooja Subramaniam, Tabea Kossen, Kerstin Ritter, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey, Vince I. Madai

Medical Image Anal., 2022

Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks.

Tabea Kossen, Manuel A. Hirzel, Vince I. Madai, Franziska Boenisch, Anja Hennemuth, Kristian Hildebrand, Sebastian Pokutta, Kartikey Sharma, Adam Hilbert, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey

Frontiers Artif. Intell., 2022

How to Assess Trustworthy AI in Practice.

Roberto V. Zicari, Julia Amann, Frédérick Bruneault, Megan Coffee, Boris Düdder, Eleanore Hickman, Alessio Gallucci, Thomas Krendl Gilbert, Thilo Hagendorff, Irmhild van Halem, Elisabeth Hildt, Sune Holm, Georgios Kararigas, Pedro Kringen, Vince I. Madai, Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Dennis Vetter, Magnus Westerlund, Renee Wurth

CoRR, 2022

The social dilemma in artificial intelligence development and why we have to solve it.

Inga Strümke, Marija Slavkovik, Vince Istvan Madai

AI Ethics, 2022

2021

Artificial Intelligence in Healthcare: Lost In Translation?

Vince I. Madai, David C. Higgins

CoRR, 2021

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

Inga Strümke, Marija Slavkovik, Vince I. Madai

CoRR, 2021

Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks.

Tabea Kossen, Pooja Subramaniam, Vince I. Madai, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey

Comput. Biol. Medicine, 2021

An evaluation of performance measures for arterial brain vessel segmentation.

Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey, Vince Istvan Madai

BMC Medical Imaging, 2021

2020

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective.

Julia Amann, Alessandro Blasimme, Effy Vayena, Dietmar Frey, Vince I. Madai

BMC Medical Informatics Decis. Mak., 2020

BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease.

Adam Hilbert, Vince I. Madai, Ela M. Akay, Orhun Utku Aydin, Jonas Behland, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Abdel Aziz Taha, Jens Wuerfel, Petr Dusek, Thoralf Niendorf, Jochen B. Fiebach, Dietmar Frey, Michelle Livne

Frontiers Artif. Intell., 2020

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

Tabea Kossen, Pooja Subramaniam, Vince I. Madai, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey

CoRR, 2020

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

Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey, Vince Istvan Madai

CoRR, 2020

From Bit to Bedside: A Practical Framework for Artificial Intelligence Product Development in Healthcare.

David Higgins, Vince I. Madai

Adv. Intell. Syst., 2020

Multimodal Fusion Strategies for Outcome Prediction in Stroke.

Esra Zihni, Vince Istvan Madai, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, John D. Kelleher, Dietmar Frey, Michelle Livne

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020