John R. Hurst

According to our database, John R. Hurst authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.

Ashkan Pakzad, W. K. Cheung, Coline H. M. Van Moorsel, Kin Quan, Nesrin Mogulkoc, Brian J. Bartholmai, H. W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald A. Karwoski, T. Peikert, R. D. Clay, Finbar Foley, Cassandra Braun, Recep Savas, Carole H. Sudre, Tom Doel, D. C. Alexander, Peter A. Wijeratne, Dave Hawkes, Yipeng Hu, John R. Hurst, Joseph Jacob

Comput. methods Biomech. Biomed. Eng. Imaging Vis., December, 2024

2023

Wearable technology interventions in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.

Amar J. Shah, Malik A. Althobiani, Anita Saigal, Chibueze E. Ogbonnaya, John R. Hurst, Swapna Mandal

npj Digit. Medicine, 2023

A data-centric deep learning approach to airway segmentation.

Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos, Robert Chapman, Recep Savas, Sam M. Janes, Yipeng Hu, Daniel C. Alexander, John R. Hurst, Joseph Jacob

CoRR, 2023

2022

Patient pathway modelling using discrete event simulation to improve the management of COPD.

Usame Yakutcan, Eren Demir, John R. Hurst, Paul C. Taylor

J. Oper. Res. Soc., 2022

Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis.

Ashkan Pakzad, Mou-Cheng Xu, Wing Keung Cheung, Marie Vermant, Tinne Goos, Laurens J. De Sadeleer, Stijn E. Verleden, Wim A. Wuyts, John R. Hurst, Joseph Jacob

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

2021

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.

Ashkan Pakzad, Wing Keung Cheung, Kin Quan, Nesrin Mogulkoc, Coline H. M. Van Moorsel, Brian J. Bartholmai, Hendrik W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald A. Karwoski, Tobias Peikert, Ryan D. Clay, Finbar Foley, Cassandra Braun, Recep Savas, Carole H. Sudre, Tom Doel, Daniel C. Alexander, Peter A. Wijeratne, David J. Hawkes, Yipeng Hu, John R. Hurst, Joseph Jacob

CoRR, 2021

2020

The challenges of deploying artificial intelligence models in a rapidly evolving pandemic.

Yipeng Hu, Joseph Jacob, Geoffrey J. M. Parker, David J. Hawkes, John R. Hurst, Danail Stoyanov

Nat. Mach. Intell., 2020

2019

Reproducibility of an airway tapering measurement in CT with application to bronchiectasis.

Kin Quan, Ryutaro Tanno, Rebecca J. Shipley, Jeremy S. Brown, Joseph Jacob, John R. Hurst, David J. Hawkes

CoRR, 2019

Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection.

Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark G. Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Tapering analysis of airways with bronchiectasis.

Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes

Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017

Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior.

Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes

IEEE Trans. Medical Imaging, 2017

Manifold Learning of COPD.

Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes

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

2014

Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes.

Felix J. S. Bragman, Jamie R. McClelland, Marc Modat, Sébastien Ourselin, John R. Hurst, David J. Hawkes

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014