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Lyndsey C Pickup

Showing results (1-10 of 10) with videos related to

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Biological Cybernetics|June 20, 2013
Modelling human visual navigation using multi-view scene reconstructionLyndsey C Pickup, Andrew W Fitzgibbon, Andrew Glennerster
Journal of Vision|August 17, 2017
Comparison of view-based and reconstruction-based models of human navigational strategyLuise Gootjes-Dreesbach, Lyndsey C Pickup, Andrew W Fitzgibbon, et al.
CHEST Pulmonary|June 26, 2026
Theoretical Clinical Utility of Advanced Practice Provider Use of an Artificial Intelligence Radiomics-based Tool for Pulmonary Nodule Evaluation and ManagementRoger Y Kim, Annika Rings, Lyndsey C Pickup, et al.
Diagnostic and Prognostic Research|May 17, 2019
Development and validation of clinical prediction models to risk stratify patients presenting with small pulmonary nodules: a research protocolJason L Oke, Lyndsey C Pickup, Jérôme Declerck, et al.
JNCI Cancer Spectrum|September 18, 2024
Clinical utility of an artificial intelligence radiomics-based tool for risk stratification of pulmonary nodulesRoger Y Kim, Clarisa Yee, Sana Zeb, et al.
BMJ Open Respiratory Research|November 18, 2025
Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort studyNathan R Hill, Travis Dotson, Sarah E Maus, et al.
European Radiology|December 3, 2020
Evaluation of a novel deep learning-based classifier for perifissural nodulesDaiwei Han, Marjolein Heuvelmans, Mieneke Rook, et al.
Radiology|May 24, 2022
Artificial Intelligence Tool for Assessment of Indeterminate Pulmonary Nodules Detected with CTRoger Y Kim, Jason L Oke, Lyndsey C Pickup, et al.
Plos One|March 5, 2026
Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodulesCaroline M Godfrey, Ashley A Leech, Kevin C McGann, et al.
American Journal of Respiratory and Critical Care Medicine|April 25, 2020
Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary NodulesPierre P Massion, Sanja Antic, Sarim Ather, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Biological Cybernetics|June 20, 2013
Modelling human visual navigation using multi-view scene reconstructionLyndsey C Pickup, Andrew W Fitzgibbon, Andrew Glennerster
Journal of Vision|August 17, 2017
Comparison of view-based and reconstruction-based models of human navigational strategyLuise Gootjes-Dreesbach, Lyndsey C Pickup, Andrew W Fitzgibbon, et al.
CHEST Pulmonary|June 26, 2026
Theoretical Clinical Utility of Advanced Practice Provider Use of an Artificial Intelligence Radiomics-based Tool for Pulmonary Nodule Evaluation and ManagementRoger Y Kim, Annika Rings, Lyndsey C Pickup, et al.
Diagnostic and Prognostic Research|May 17, 2019
Development and validation of clinical prediction models to risk stratify patients presenting with small pulmonary nodules: a research protocolJason L Oke, Lyndsey C Pickup, Jérôme Declerck, et al.
JNCI Cancer Spectrum|September 18, 2024
Clinical utility of an artificial intelligence radiomics-based tool for risk stratification of pulmonary nodulesRoger Y Kim, Clarisa Yee, Sana Zeb, et al.
BMJ Open Respiratory Research|November 18, 2025
Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort studyNathan R Hill, Travis Dotson, Sarah E Maus, et al.
European Radiology|December 3, 2020
Evaluation of a novel deep learning-based classifier for perifissural nodulesDaiwei Han, Marjolein Heuvelmans, Mieneke Rook, et al.
Radiology|May 24, 2022
Artificial Intelligence Tool for Assessment of Indeterminate Pulmonary Nodules Detected with CTRoger Y Kim, Jason L Oke, Lyndsey C Pickup, et al.
Plos One|March 5, 2026
Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodulesCaroline M Godfrey, Ashley A Leech, Kevin C McGann, et al.
American Journal of Respiratory and Critical Care Medicine|April 25, 2020
Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary NodulesPierre P Massion, Sanja Antic, Sarim Ather, et al.
Pageof 1