Vince I. Madai

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

Julia Amann, Alessandro Blasimme, Effy Vayena et al. · BMC Medical Informatics and Decision Making · 2020 · 1.6K citations · Full text

A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease

Michelle Livne, Jana Rieger, Orhun Utku Aydin et al. · Frontiers in Neuroscience · 2019 · 258 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +22

Glutamatergic axons from the lateral habenula mainly terminate on GABAergic neurons of the ventral midbrain

K. Brinschwitz, Anja Dittgen, Vince I. Madai et al. · Neuroscience · 2010 · 245 citations · Full text

Health Sciences, Neurophysiology, Neuroanatomy +13

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al. · PLOS Digital Health · 2022 · 185 citations · Full text

Artificial Intelligence, Engineering, Diagnosis +19

Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome

Esra Zihni, Vince I. Madai, Michelle Livne et al. · PLoS ONE · 2020 · 178 citations · Full text