James H. Cole

Accurate brain‐age models for routine clinical MRI examinations

2022 · 122 Zit. · NeuroImage

Interpretable machine learning for dementia: A systematic review

2023 · 119 Zit. · Alzheimer s & Dementia

Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection

2023 · 36 Zit. · Clinical Neuroradiology

Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection

2023 · 7 Zit. · Frontiers in Radiology

Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study

2020 · 6 Zit. · Lecture notes in computer science

Collaborative AI for precision neurorehabilitation: a roadmap

2025 · 3 Zit. · Journal of NeuroEngineering and Rehabilitation

Automated triaging of head MRI examinations using convolutional neural networks

2022 · 2 Zit.

Explainable artificial intelligence for neuroimaging-based dementia diagnosis and prognosis

2025 · 2 Zit.

Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports

2025 · 2 Zit. · European Radiology

Automated Brain Abnormality Detection using a Self-Supervised Text-Vision Framework         

2024 · 2 Zit.

Brain Matters: Exploring Bias in AI for Neuroimaging Research

2023 · 1 Zit. · Lecture notes in computer science

Labelling imaging datasets on the basis of neuroradiology reports: a\n validation study

2020 · 1 Zit. · arXiv (Cornell University)

Self-Supervised Text-Vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study)

2025 · 1 Zit. · Radiology Artificial Intelligence

Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis

2024 · 0 Zit. · arXiv (Cornell University)

Neuroimaging‐based artificial intelligence for predicting dementia progression in a diverse real‐world memory clinic cohort

2025 · 0 Zit. · Alzheimer s & Dementia