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 (HEALTHINF, 2020)

From Bit to Bedside: A Practical Framework for Artificial Intelligence Product Development in Healthcare. - David Higgins; Vince I. Madai (Adv. Intell. Syst., 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)

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)

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; et al. (Frontiers Artif. Intell., 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)

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)

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)

The social dilemma in AI development and why we have to solve it. - Inga Strümke; Marija Slavkovik 001; Vince I. Madai (CoRR, 2021)

Artificial Intelligence in Healthcare: Lost In Translation? - Vince I. Madai; David C. Higgins (CoRR, 2021)

The social dilemma in artificial intelligence development and why we have to solve it. - Inga Strümke; Marija Slavkovik 001; Vince Istvan Madai (AI Ethics, 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; et al. (CoRR, 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; et al. (Frontiers Artif. Intell., 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; et al. (Medical Image Anal., 2022)

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)

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, 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; et al. (Digit. Soc., 2023)

Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review. - Luis M. Lopez-Ramos; Florian Leiser; Aditya Rastogi; Steven Hicks; Inga Strümke; Vince I. Madai; Tobias Budig; Ali Sunyaev; Adam Hilbert (CoRR, 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)

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)

Federated learning is not a cure-all for data ethics. - Marieke A. R. Bak; Vince I. Madai; Leo Anthony Celi; Georgios Kaissis; Ronald Cornet; Menno Maris; Daniel Rueckert; Alena Buyx; Stuart McLennan (Nat. Mac. Intell., 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)

A Modified Parallel NET (MPNET)-Based Deep Learning Technique for the Segmentation and Quantification of Visceral and Superficial Adipose Tissues of CT Scans. - Josteve Adekanbi; Debashish Das; Nouh Elmitwally; Aliyuda Ali; Vince I. Madai; Bahadar Bhatia; John Morlese; Muhammed Afsal; Tanay Shah (IEEE Access, 2025)

Getting Ready for the EU AI Act in Healthcare. A call for Sustainable AI Development and Deployment. - John Brandt Brodersen; Ilaria Amelia Caggiano; Pedro Kringen; Vince Istvan Madai; Walter Osika; Giovanni Sartor; Ellen Svensson; Magnus Westerlund; Roberto V. Zicari (CoRR, 2025)

Explainable AI: definition and attributes of a good explanation for health AI. - Evangelia Kyrimi; Scott McLachlan; Jared M. Wohlgemut; Zane B. Perkins; David A. Lagnado; William Marsh 001; Alexander Gimson; Ali Shafti; Ari Ercole; Amitava Banerjee; Ben Glocker; Burkhard Schafer 001; et al. (AI Ethics, 2025)

External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis. - Patrick Rockenschaub; Ela Marie Akay; Benjamin Gregory Carlisle; Adam Hilbert; Joshua Wendland; Falk Meyer-Eschenbach; Anatol-Fiete Näher; Dietmar Frey; Vince Istvan Madai (BMC Medical Informatics Decis. Mak., 2025)