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Matthew T MacLean

Showing results (1-10 of 11) with videos related to

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Academic Medicine : Journal of the Association of American Medical Colleges|August 23, 2020
Optimizing Medical Student Clerkship Schedules Using a Novel Application of the Hungarian AlgorithmMatthew T MacLean, Jerzy R Lysikowski, Robert V Rege, et al.
Predictive Intelligence in Medicine. PRIME (Workshop)|July 3, 2024
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk StratificationMichael S Yao, Allison Chae, Matthew T MacLean, et al.
Radiology. Artificial Intelligence|August 5, 2021
Classification of Myocardial <sup>18</sup>F-FDG PET Uptake Patterns Using Deep LearningNicholas Josselyn, Matthew T MacLean, Christopher Jean, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|February 2, 2024
Deep learning approach for automated segmentation of myocardium using bone scintigraphy single-photon emission computed tomography/computed tomography in patients with suspected cardiac amyloidosisAbhijit Bhattaru, Chaitanya Rojulpote, Mahesh Vidula, et al.
Radiology|January 23, 2024
Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of RadiologyAllison Chae, Michael S Yao, Hersh Sagreiya, et al.
Cell Reports. Medicine|December 13, 2022
Exome-wide association analysis of CT imaging-derived hepatic fat in a medical biobankJoseph Park, Matthew T MacLean, Anastasia M Lucas, et al.
Journal of the American Medical Informatics Association : JAMIA|February 12, 2021
Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobankMatthew T MacLean, Qasim Jehangir, Marijana Vujkovic, et al.
Bone|March 23, 2023
Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learningBrandon C Jones, Felix W Wehrli, Nada Kamona, et al.
Scientific Reports|June 26, 2024
CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobankPhuong T Vu, Chantal Chahine, Neil Chatterjee, et al.
Scientific Reports|January 3, 2024
Clinical correlates of CT imaging-derived phenotypes among lean and overweight patients with hepatic steatosisIsabel Song, Elizabeth W Thompson, Anurag Verma, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Academic Medicine : Journal of the Association of American Medical Colleges|August 23, 2020
Optimizing Medical Student Clerkship Schedules Using a Novel Application of the Hungarian AlgorithmMatthew T MacLean, Jerzy R Lysikowski, Robert V Rege, et al.
Predictive Intelligence in Medicine. PRIME (Workshop)|July 3, 2024
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk StratificationMichael S Yao, Allison Chae, Matthew T MacLean, et al.
Radiology. Artificial Intelligence|August 5, 2021
Classification of Myocardial <sup>18</sup>F-FDG PET Uptake Patterns Using Deep LearningNicholas Josselyn, Matthew T MacLean, Christopher Jean, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|February 2, 2024
Deep learning approach for automated segmentation of myocardium using bone scintigraphy single-photon emission computed tomography/computed tomography in patients with suspected cardiac amyloidosisAbhijit Bhattaru, Chaitanya Rojulpote, Mahesh Vidula, et al.
Radiology|January 23, 2024
Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of RadiologyAllison Chae, Michael S Yao, Hersh Sagreiya, et al.
Cell Reports. Medicine|December 13, 2022
Exome-wide association analysis of CT imaging-derived hepatic fat in a medical biobankJoseph Park, Matthew T MacLean, Anastasia M Lucas, et al.
Journal of the American Medical Informatics Association : JAMIA|February 12, 2021
Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobankMatthew T MacLean, Qasim Jehangir, Marijana Vujkovic, et al.
Bone|March 23, 2023
Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learningBrandon C Jones, Felix W Wehrli, Nada Kamona, et al.
Scientific Reports|June 26, 2024
CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobankPhuong T Vu, Chantal Chahine, Neil Chatterjee, et al.
Scientific Reports|January 3, 2024
Clinical correlates of CT imaging-derived phenotypes among lean and overweight patients with hepatic steatosisIsabel Song, Elizabeth W Thompson, Anurag Verma, et al.
Pageof 2