Michelle Livne

Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch et al. · Journal of Medical Internet Research · 2021 · 315 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

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy

Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch et al. · arXiv (Cornell University) · 2018 · 248 citations · Full text

Engineering, Machine Learning, Radiotherapy Pathways +21

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