Florey Institute of Neuroscience and Mental Health
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods
Guy Handelman, Hong Kuan Kok, Ronil V. Chandra et al.
2018 · 402 Zit.
Artificial intelligence for clinical decision support in neurology
Mangor Pedersen, Karin Verspoor, Mark Jenkinson et al.
2020 · 84 Zit.
Predicting individual learning performance using machine‐learning hybridized with the teaching‐learning‐based optimization
Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, Rajendran Parthiban et al.
2022 · 65 Zit.
Machine learning in clinical practice: Evaluation of an artificial intelligence tool after implementation
Hamed Akhlaghi, Sam Freeman, Cynthia Vari et al.
2023 · 30 Zit.
International Data Governance for Neuroscience
Damian Eke, Amy Bernard, Jan G. Bjaalie et al.
2021 · 5 Zit.
Science Visualization: Approaches and Resources for Making Communication Simple but Not Simplistic
Kathryn S. Hayward, Aaron Davis
2022 · 3 Zit.
Towards Responsible Artificial Intelligence in Medicine: Reflections from the Australian Epilepsy Project
Mangor Pedersen, Heath Pardoe, Anton de Weger et al.
2023 · 3 Zit.
Correcting preoperative iron deficiency as part of patient blood management in the ‘real world’: results of an audit on an Australian cohort
Frank Hong, Nicole Sieradzki, Claire Pollock et al.
2018 · 3 Zit.
Toward responsible artificial intelligence in medicine: Reflections from the Australian epilepsy project
Mangor Pedersen, Heath Pardoe, Anton de Weger et al.
2025 · 1 Zit.
Incidental findings in research brain <scp>MRI</scp>: Definition, prevalence and ethical implications
Kenneth J de Jong, E Poon, Michelle Foo et al.
2024 · 1 Zit.
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods
Krzysztof J. Gorgolewski, Fidel Alfaro‐Almagro, Tibor Auer et al.
2017 · 0 Zit.
Prediction of recurrence and functional status in young ischemic stroke patients: Comparison of machine learning and traditional statistical methods
Vinícius Viana Abreu Montanaro, Mina A. Jacob, KS Tan et al.
2026 · 0 Zit.