James H. Cole - RankMe

31 papers A* 1Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing demographic bias in brain age prediction models using multiple deep learning paradigms. Pattern Recognit. Lett. Michela Gravina, Giuseppe Pontillo, Zeena Shawa, James H. Cole, Carlo Sansone
2026	A*	`conf`	CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis. AAAI Alec Sargood, Lemuel Puglisi, James H. Cole, Neil P. Oxtoby, Daniele Ravì, Daniel C. Alexander
2026	J	`jnl`	Toward Resilient AI in Medical Imaging: Handling and Mining Multiple Sources of Data. SN Comput. Sci. Michela Gravina, Adriano De Simone, Giuseppe Pontillo, Zeena Shawa, Stefano Marrone, Roberta Fusco, Vincenza Granata, Antonella Petrillo, James H. Cole, Mario Sansone, Carlo Sansone
2025	J	`jnl`	Brain Age Prediction Using a Lightweight Convolutional Neural Network. IEEE Access Fatma El Zahraa Magdy, Mario Parreño Centeno, James H. Cole, João Paulo Papa, Fumie Costen
2025	J	`jnl`	Does restrictive anorexia nervosa impact brain aging? A machine learning approach to estimate age based on brain structure. Comput. Biol. Medicine Yubraj Gupta, Feliberto de la Cruz, Katrin Rieger, Monica di Giuliano, Christian Gaser, James H. Cole, Lauren Breithaupt, Laura M. Holsen, Kamryn T. Eddy, Jennifer J. Thomas, Suheyla Cetin Karayumak, Marek Kubicki, Elizabeth A. Lawson, Karen K. Miller, Madhusmita Misra, Andy Schumann, Karl-Jürgen Bär
2025	J	`jnl`	Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application. CoRR Nys Tjade Siegel, James H. Cole, Mohamad Habes, Stefan Haufe, Kerstin Ritter, Marc-André Schulz
2024	J	`jnl`	A perspective on brain-age estimation and its clinical promise. Nat. Comput. Sci. Christian Gaser, Polona Kalc, James H. Cole
2024	J	`jnl`	A self-supervised text-vision framework for automated brain abnormality detection. CoRR David A. Wood, Emily Guilhem, Sina Kafiabadi, Ayisha Al Busaidi, Kishan Dissanayake, Ahmed Hammam, Nina Mansoor, Matthew Townend, Siddharth Agarwal, Yiran Wei, Asif Mazumder, Gareth J. Barker, Peter Sasieni, Sébastien Ourselin, James H. Cole, Thomas C. Booth
2024	J	`jnl`	Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis. CoRR Siddharth Agarwal, David A. Wood, Mariusz Grzeda, Chandhini Suresh, Munaib Din, James H. Cole, Marc Modat, Thomas C. Booth
2024	J	`jnl`	Publisher Correction: A perspective on brain-age estimation and its clinical promise. Nat. Comput. Sci. Christian Gaser, Polona Kalc, James H. Cole
2023	—	`conf`	Brain Matters: Exploring Bias in AI for Neuroimaging Research. CLIP/FAIMI/EPIMI@MICCAI Sophie A. Martin, Francesca Biondo, James H. Cole, Beatrice Taylor
2022	J	`jnl`	Accurate brain-age models for routine clinical MRI examinations. NeuroImage 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
2022	J	`jnl`	Deep learning models for triaging hospital head MRI examinations. Medical Image Anal. 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
2022	J	`jnl`	Distributional Gaussian Processes Layers for Out-of-Distribution Detection. CoRR Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
2021	J	`jnl`	An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling. CoRR 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
2021	—	`conf`	Automated triaging of head MRI examinations using convolutional neural networks. MIDL 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
2021	J	`jnl`	Automated triaging of head MRI examinations using convolutional neural networks. CoRR David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Siddharth Agarwal, Jeremy Lynch, Matthew Townend, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth
2021	—	`conf`	Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. IPMI Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
2021	J	`jnl`	Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. CoRR Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker
2020	—	`conf`	Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). MIDL 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
2020	J	`jnl`	Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). CoRR 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
2020	J	`jnl`	Editorial: Deep Learning in Aging Neuroscience. Frontiers Neuroinformatics Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz, James H. Cole, Martin Dyrba
2020	J	`jnl`	Hierarchical Gaussian Processes with Wasserstein-2 Kernels. CoRR Sebastian Popescu, David J. Sharp, James H. Cole, Ben Glocker
2020	—	`conf`	Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study. iMIMIC/MIL3ID/LABELS@MICCAI 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
2020	J	`jnl`	Labelling imaging datasets on the basis of neuroradiology reports: a validation study. CoRR 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
2020	J	`jnl`	Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study. NeuroImage 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
2019	J	`jnl`	NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification. CoRR David Wood, James H. Cole, Thomas C. Booth
2017	J	`jnl`	Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model. CoRR 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
2017	—	`conf`	Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model. MICCAI (3) 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
2017	J	`jnl`	Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. NeuroImage James H. Cole, Rudra P. K. Poudel, Dimosthenis Tsagkrasoulis, Matthan W. A. Caan, Claire J. Steves, Tim D. Spector, Giovanni Montana
2016	J	`jnl`	Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. CoRR James H. Cole, Rudra P. K. Poudel, Dimosthenis Tsagkrasoulis, Matthan W. A. Caan, Claire J. Steves, Tim D. Spector, Giovanni Montana