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Christopher P Bridge

Showing results (21-30 of 42) with videos related to

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AJR. American Journal of Roentgenology|August 31, 2022
Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular EventsKirti Magudia, Christopher P Bridge, Camden P Bay, et al.
PLOS Digital Health|April 17, 2026
Leveraging deep learning to infer continuous predictions from ordinal labels in medical imagingKatharina V Hoebel, Andréanne Lemay, John Peter Campbell, et al.
Radiology. Artificial Intelligence|February 11, 2022
A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT ScansChristopher P Bridge, Till D Best, Maria M Wrobel, et al.
European Journal of Radiology|April 26, 2025
PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered careSatvik Tripathi, Liam Mutter, Meghana Muppuri, et al.
Radiology|September 20, 2022
Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CTCory Robinson-Weiss, Jay Patel, Bernardo C Bizzo, et al.
Radiology|November 24, 2020
Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference CurvesKirti Magudia, Christopher P Bridge, Camden P Bay, et al.
Journal of Neurosurgery. Spine|February 25, 2022
Evaluating frailty, mortality, and complications associated with metastatic spine tumor surgery using machine learning-derived body composition analysisElie Massaad, Christopher P Bridge, Ali Kiapour, et al.
Diseases of the Colon and Rectum|April 24, 2025
Visceral Fat Quantified by a Fully Automated Deep-Learning Algorithm and Risk of Incident and Recurrent DiverticulitisJane Ha, Christopher P Bridge, Katherine P Andriole, et al.
Journal of Neurosurgery. Spine|December 1, 2023
Machine learning-based detection of sarcopenic obesity and association with adverse outcomes in patients undergoing surgical treatment for spinal metastasesSyed I Khalid, Elie Massaad, Ali Kiapour, et al.
Radiology|October 29, 2024
Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph ReportsFelix J Dorfner, Liv Jürgensen, Leonhard Donle, et al.
Pageof 5

Showing results (21-30 of 42) with videos related to

Sort By:
Pageof 5
AJR. American Journal of Roentgenology|August 31, 2022
Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular EventsKirti Magudia, Christopher P Bridge, Camden P Bay, et al.
PLOS Digital Health|April 17, 2026
Leveraging deep learning to infer continuous predictions from ordinal labels in medical imagingKatharina V Hoebel, Andréanne Lemay, John Peter Campbell, et al.
Radiology. Artificial Intelligence|February 11, 2022
A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT ScansChristopher P Bridge, Till D Best, Maria M Wrobel, et al.
European Journal of Radiology|April 26, 2025
PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered careSatvik Tripathi, Liam Mutter, Meghana Muppuri, et al.
Radiology|September 20, 2022
Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CTCory Robinson-Weiss, Jay Patel, Bernardo C Bizzo, et al.
Radiology|November 24, 2020
Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference CurvesKirti Magudia, Christopher P Bridge, Camden P Bay, et al.
Journal of Neurosurgery. Spine|February 25, 2022
Evaluating frailty, mortality, and complications associated with metastatic spine tumor surgery using machine learning-derived body composition analysisElie Massaad, Christopher P Bridge, Ali Kiapour, et al.
Diseases of the Colon and Rectum|April 24, 2025
Visceral Fat Quantified by a Fully Automated Deep-Learning Algorithm and Risk of Incident and Recurrent DiverticulitisJane Ha, Christopher P Bridge, Katherine P Andriole, et al.
Journal of Neurosurgery. Spine|December 1, 2023
Machine learning-based detection of sarcopenic obesity and association with adverse outcomes in patients undergoing surgical treatment for spinal metastasesSyed I Khalid, Elie Massaad, Ali Kiapour, et al.
Radiology|October 29, 2024
Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph ReportsFelix J Dorfner, Liv Jürgensen, Leonhard Donle, et al.
Pageof 5