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Opportunistic diagnosis of osteoporosis, fragile bone strength and vertebral fractures from routine CT scans; a review of approved technology systems and pathways to implementation

Therapeutic Advances in Musculoskeletal Disease, 2021, Vol.13, p.1759720X211024029-1759720X211024029

2021

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Artificial intelligence projects in healthcare: 10 practical tips for success in a clinical environment

BMJ health & care informatics, 2021-07, Vol.28 (1), p.e100323

2021

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Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting

IEEE transactions on pattern analysis and machine intelligence, 2015-09, Vol.37 (9), p.1862-1874

2015

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Digital health interventions for osteoporosis and post-fragility fracture care

Therapeutic Advances in Musculoskeletal Disease, 2022-03, Vol.14, p.1759720X221083523-1759720X221083523

2022

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Computer‐Aided Diagnostic Systems for Osteoporotic Vertebral Fracture Detection: Opportunities and Challenges

Journal of bone and mineral research, 2020-12, Vol.35 (12), p.2305-2306

2020

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TINA manual landmarking tool: software for the precise digitization of 3D landmarks

Frontiers in zoology, 2012-04, Vol.9 (1), p.6-6

2012

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Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks

Medical physics (Lancaster), 2022-05, Vol.49 (5), p.3107-3120

2022

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Accuracy of Using a New Semi-Automated Software Package to Diagnose Osteoporotic Vertebral Fractures in Adults

Electronics (Basel), 2023-02, Vol.12 (4), p.847

2023

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Diagnostic performance of morphometric vertebral fracture analysis (MXA) in children using a 33-point software program

Bone (New York, N.Y.), 2020-04, Vol.133, p.115249-115249, Article 115249

2020

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Understanding current UK practice for the incidental identification of vertebral fragility fractures from CT scans: an expert elicitation study

Aging clinical and experimental research, 2022-08, Vol.34 (8), p.1909-1918

2022

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Fusion Contours as a Source of Segmentation Training Data: A Simulation Study

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, p.1-6

2023

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Semi-automatic landmark point annotation for geometric morphometrics

Frontiers in zoology, 2014-08, Vol.11 (1), Article 61

2014

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Endoscopic third ventriculostomy: predicting outcome with phase-contrast MR imaging

Radiology, 2009-09, Vol.252 (3), p.825-832

2009

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Quantitative shape analysis with weighted covariance estimates for increased statistical efficiency

Frontiers in zoology, 2013-04, Vol.10 (1), p.16-16

2013

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Towards a cure for osteoporosis: the UK Royal Osteoporosis Society (ROS) Osteoporosis Research Roadmap

Archives of osteoporosis, 2022-12, Vol.17 (1), p.12-12, Article 12

2022

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Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models

Computational Methods and Clinical Applications for Spine Imaging, p.53-65

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Indecisive Trees for Classification and Prediction of Knee Osteoarthritis

Machine Learning in Medical Imaging, 2017, p.283-290

2017

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Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling

Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2018, Vol.10734, p.133-147

2018

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Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting

Computational Methods and Clinical Applications for Spine Imaging, p.38-51

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Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting

Computational Methods and Clinical Applications for Spine Imaging, p.51-63

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Non-parametric image subtraction using grey level scattergrams

Image and vision computing, 2002-08, Vol.20 (9), p.609-617

2002

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Educating the Healthcare Workforce to Support Digital Transformation

Studies in health technology and informatics, 2022-06, Vol.290, p.934

2022

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Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, p.607-614

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Cerebral Cortical Thickness Estimation using the TINA Open-Source Image Analysis Environment

The Insight Journal, 2005-07

2005

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Working as a Health AI Specialist

The Health Information Workforce, p.247-268

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Opportunistic diagnosis of osteoporosis, fragile bone strength and vertebral fractures from routine CT scans; a review of approved technology systems and pathways to implementation

Artificial intelligence projects in healthcare: 10 practical tips for success in a clinical environment

Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting

Digital health interventions for osteoporosis and post-fragility fracture care

Computer‐Aided Diagnostic Systems for Osteoporotic Vertebral Fracture Detection: Opportunities and Challenges

TINA manual landmarking tool: software for the precise digitization of 3D landmarks

Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks

Accuracy of Using a New Semi-Automated Software Package to Diagnose Osteoporotic Vertebral Fractures in Adults

Diagnostic performance of morphometric vertebral fracture analysis (MXA) in children using a 33-point software program

Understanding current UK practice for the incidental identification of vertebral fragility fractures from CT scans: an expert elicitation study

Fusion Contours as a Source of Segmentation Training Data: A Simulation Study

Semi-automatic landmark point annotation for geometric morphometrics

Endoscopic third ventriculostomy: predicting outcome with phase-contrast MR imaging

Quantitative shape analysis with weighted covariance estimates for increased statistical efficiency

Towards a cure for osteoporosis: the UK Royal Osteoporosis Society (ROS) Osteoporosis Research Roadmap

Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models

Indecisive Trees for Classification and Prediction of Knee Osteoarthritis

Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling

Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting

Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting

Non-parametric image subtraction using grey level scattergrams

Educating the Healthcare Workforce to Support Digital Transformation

Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration

Cerebral Cortical Thickness Estimation using the TINA Open-Source Image Analysis Environment

Working as a Health AI Specialist

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