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Ben Glocker

Showing results (81-90 of 132) with videos related to

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Journal of Breast Imaging|February 28, 2024
Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce WorkloadAnnie Y Ng, Ben Glocker, Cary Oberije, et al.
Journal of Neurotrauma|February 18, 2026
Optimization and External Validation of a Deep Learning Model for Segmentation and Quantification of Traumatic Brain Injury Lesions on Head Computed TomographyFrancois Mathieu, Carolina Piçarra, Armaan Malhotra, et al.
Journal of Neurotrauma|March 14, 2020
Diffuse Intracranial Injury Patterns Are Associated with Impaired Cerebrovascular Reactivity in Adult Traumatic Brain Injury: A CENTER-TBI Validation StudyFrederick A Zeiler, François Mathieu, Miguel Monteiro, et al.
Nature Medicine|November 17, 2023
Prospective implementation of AI-assisted screen reading to improve early detection of breast cancerAnnie Y Ng, Cary J G Oberije, Éva Ambrózay, et al.
JMIR Research Protocols|July 11, 2024
AI as a Medical Device Adverse Event Reporting in Regulatory Databases: Protocol for a Systematic ReviewAditya U Kale, Riya Dattani, Ashley Tabansi, et al.
IEEE Transactions on Medical Imaging|November 8, 2018
Learning-Based Quality Control for Cardiac MR ImagesGiacomo Tarroni, Ozan Oktay, Wenjia Bai, et al.
Nature Communications|March 5, 2022
Active label cleaning for improved dataset quality under resource constraintsMélanie Bernhardt, Daniel C Castro, Ryutaro Tanno, et al.
BMJ Health & Care Informatics|May 15, 2025
Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) studyCary J G Oberije, Rachel Currie, Alice Leaver, et al.
IEEE Transactions on Medical Imaging|September 30, 2017
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and SegmentationOzan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, et al.
The Lancet. Digital Health|June 24, 2022
UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screeningSian Taylor-Phillips, Farah Seedat, Goda Kijauskaite, et al.
Pageof 14

Showing results (81-90 of 132) with videos related to

Sort By:
Pageof 14
Journal of Breast Imaging|February 28, 2024
Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce WorkloadAnnie Y Ng, Ben Glocker, Cary Oberije, et al.
Journal of Neurotrauma|February 18, 2026
Optimization and External Validation of a Deep Learning Model for Segmentation and Quantification of Traumatic Brain Injury Lesions on Head Computed TomographyFrancois Mathieu, Carolina Piçarra, Armaan Malhotra, et al.
Journal of Neurotrauma|March 14, 2020
Diffuse Intracranial Injury Patterns Are Associated with Impaired Cerebrovascular Reactivity in Adult Traumatic Brain Injury: A CENTER-TBI Validation StudyFrederick A Zeiler, François Mathieu, Miguel Monteiro, et al.
Nature Medicine|November 17, 2023
Prospective implementation of AI-assisted screen reading to improve early detection of breast cancerAnnie Y Ng, Cary J G Oberije, Éva Ambrózay, et al.
JMIR Research Protocols|July 11, 2024
AI as a Medical Device Adverse Event Reporting in Regulatory Databases: Protocol for a Systematic ReviewAditya U Kale, Riya Dattani, Ashley Tabansi, et al.
IEEE Transactions on Medical Imaging|November 8, 2018
Learning-Based Quality Control for Cardiac MR ImagesGiacomo Tarroni, Ozan Oktay, Wenjia Bai, et al.
Nature Communications|March 5, 2022
Active label cleaning for improved dataset quality under resource constraintsMélanie Bernhardt, Daniel C Castro, Ryutaro Tanno, et al.
BMJ Health & Care Informatics|May 15, 2025
Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) studyCary J G Oberije, Rachel Currie, Alice Leaver, et al.
IEEE Transactions on Medical Imaging|September 30, 2017
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and SegmentationOzan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, et al.
The Lancet. Digital Health|June 24, 2022
UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screeningSian Taylor-Phillips, Farah Seedat, Goda Kijauskaite, et al.
Pageof 14