Livia Faes

Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study

Livia Faes, Siegfried K. Wagner, Dun Jack Fu et al. · The Lancet Digital Health · 2019 · 308 citations · Full text

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al. · BMJ · 2022 · 283 citations · Full text

Code-free deep learning for multi-modality medical image classification

Edward Korot, Zeyu Guan, Daniel Ferraz et al. · Nature Machine Intelligence · 2021 · 165 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +20

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

Livia Faes, Xiaoxuan Liu, Siegfried K. Wagner et al. · Translational Vision Science & Technology · 2020 · 149 citations · Full text

Biomedical Artificial Intelligence, Artificial Intelligence, Cognitive Science +13

Predicting sex from retinal fundus photographs using automated deep learning

Edward Korot, Nikolas Pontikos, Xiaoxuan Liu et al. · Scientific Reports · 2021 · 133 citations · Full text