James H. Cole

Orcid: 0000-0003-1908-5588

According to our database1, James H. Cole authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Publisher Correction: A perspective on brain-age estimation and its clinical promise.
Nat. Comput. Sci., October, 2024

A perspective on brain-age estimation and its clinical promise.
Nat. Comput. Sci., October, 2024

Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis.
CoRR, 2024

A self-supervised text-vision framework for automated brain abnormality detection.
CoRR, 2024

2023
Brain Matters: Exploring Bias in AI for Neuroimaging Research.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022
Accurate brain-age models for routine clinical MRI examinations.
NeuroImage, 2022

Deep learning models for triaging hospital head MRI examinations.
Medical Image Anal., 2022

Distributional Gaussian Processes Layers for Out-of-Distribution Detection.
CoRR, 2022

2021
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling.
CoRR, 2021

Automated triaging of head MRI examinations using convolutional neural networks.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2021

2020
Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study.
NeuroImage, 2020

Editorial: Deep Learning in Aging Neuroscience.
Frontiers Neuroinformatics, 2020

Hierarchical Gaussian Processes with Wasserstein-2 Kernels.
CoRR, 2020

Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM).
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2019
NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification.
CoRR, 2019

2017
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.
NeuroImage, 2017

Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model.
CoRR, 2017

Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017


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