James H. Cole

According to our database, James H. Cole authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Brain Matters: Exploring Bias in AI for Neuroimaging Research.

Sophie A. Martin, Francesca Biondo, James H. Cole, Beatrice Taylor

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.

David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth

NeuroImage, 2022

Deep learning models for triaging hospital head MRI examinations.

David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth

Medical Image Anal., 2022

Distributional Gaussian Processes Layers for Out-of-Distribution Detection.

Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker

CoRR, 2022

2021

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

Tim Hahn, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Lukas Fisch, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, Harald Kugel, Tilo Kircher, Benjamin Risse, Christian Gaser, James H. Cole, Udo Dannlowski, Klaus Berger

CoRR, 2021

Automated triaging of head MRI examinations using convolutional neural networks.

David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Antanas Montvila, Siddharth Agarwal, Jeremy Lynch, Matthew Townend, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth

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.

Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker

Proceedings of the Information Processing in Medical Imaging, 2021

2020

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

Ann-Marie G. de Lange, Melis Anatürk, Sana Suri, Tobias Kaufmann, James H. Cole, Ludovica Griffanti, Eniko Zsoldos, Daria E. A. Jensen, Nicola Filippini, Archana Singh-Manoux, Mika Kivimäki, Lars T. Westlye, Klaus P. Ebmeier

NeuroImage, 2020

Editorial: Deep Learning in Aging Neuroscience.

Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz, James H. Cole, Martin Dyrba

Frontiers Neuroinformatics, 2020

Hierarchical Gaussian Processes with Wasserstein-2 Kernels.

Sebastian Popescu, David J. Sharp, James H. Cole, Ben Glocker

CoRR, 2020

Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM).

David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

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

David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth

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.

David Wood, James H. Cole, Thomas C. Booth

CoRR, 2019

2017

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

James H. Cole, Rudra P. K. Poudel, Dimosthenis Tsagkrasoulis, Matthan W. A. Caan, Claire J. Steves, Tim D. Spector, Giovanni Montana

NeuroImage, 2017

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

Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson

CoRR, 2017

Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model.

Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Matthew D. Sacchet, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017