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Fiona J Gilbert

Showing results (71-80 of 162) with videos related to

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Health Informatics Journal|October 21, 2023
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomesMalhar Patel, Ittai Dayan, Elliot K Fishman, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 23, 2016
Detecting gas-induced vasomotor changes via blood oxygenation level-dependent contrast in healthy breast parenchyma and breast carcinomaTess E Wallace, Andrew J Patterson, Oshaani Abeyakoon, et al.
The New England Journal of Medicine|October 4, 2008
Single reading with computer-aided detection for screening mammographyFiona J Gilbert, Susan M Astley, Maureen G C Gillan, et al.
Radiology|November 19, 2024
Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human ReadersSarah E Hickman, Nicholas R Payne, Richard T Black, et al.
Radiology|May 23, 2006
Evaluation of a prospective scoring system designed for a multicenter breast MR imaging screening studyRuth M L Warren, Deborah Thompson, Linda J Pointon, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 3, 2016
MRI and the distribution of bone marrow fat in hip osteoarthritisJennifer S Gregory, Rebecca J Barr, Victor Varela, et al.
European Radiology|February 16, 2020
Dynamic contrast-enhanced computed tomography for the diagnosis of solitary pulmonary nodules: a systematic review and meta-analysisJonathan R Weir-McCall, Stella Joyce, Andrew Clegg, et al.
European Radiology|November 1, 2016
Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinationsReem Bedair, Andrew N Priest, Andrew J Patterson, et al.
Radiology|October 28, 2025
Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening ProgramJoshua W D Rothwell, Priya Rogers, Nicholas R Payne, et al.
Radiology|October 19, 2021
Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-AnalysisSarah E Hickman, Ramona Woitek, Elizabeth Phuong Vi Le, et al.
Pageof 17

Showing results (71-80 of 162) with videos related to

Sort By:
Pageof 17
Health Informatics Journal|October 21, 2023
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomesMalhar Patel, Ittai Dayan, Elliot K Fishman, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 23, 2016
Detecting gas-induced vasomotor changes via blood oxygenation level-dependent contrast in healthy breast parenchyma and breast carcinomaTess E Wallace, Andrew J Patterson, Oshaani Abeyakoon, et al.
The New England Journal of Medicine|October 4, 2008
Single reading with computer-aided detection for screening mammographyFiona J Gilbert, Susan M Astley, Maureen G C Gillan, et al.
Radiology|November 19, 2024
Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human ReadersSarah E Hickman, Nicholas R Payne, Richard T Black, et al.
Radiology|May 23, 2006
Evaluation of a prospective scoring system designed for a multicenter breast MR imaging screening studyRuth M L Warren, Deborah Thompson, Linda J Pointon, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 3, 2016
MRI and the distribution of bone marrow fat in hip osteoarthritisJennifer S Gregory, Rebecca J Barr, Victor Varela, et al.
European Radiology|February 16, 2020
Dynamic contrast-enhanced computed tomography for the diagnosis of solitary pulmonary nodules: a systematic review and meta-analysisJonathan R Weir-McCall, Stella Joyce, Andrew Clegg, et al.
European Radiology|November 1, 2016
Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinationsReem Bedair, Andrew N Priest, Andrew J Patterson, et al.
Radiology|October 28, 2025
Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening ProgramJoshua W D Rothwell, Priya Rogers, Nicholas R Payne, et al.
Radiology|October 19, 2021
Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-AnalysisSarah E Hickman, Ramona Woitek, Elizabeth Phuong Vi Le, et al.
Pageof 17