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Mengling Feng

Showing results (101-110 of 109) with videos related to

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JMIR Medical Informatics|January 23, 2015
Metadata correction: making big data useful for health care: a summary of the inaugural mit critical data conferenceOmar Badawi, Thomas Brennan, Leo Anthony Celi, et al.
Radiology. Artificial Intelligence|October 7, 2021
Automated Segmentation of Visceral, Deep Subcutaneous, and Superficial Subcutaneous Adipose Tissue Volumes in MRI of Neonates and Young ChildrenYeshe Manuel Kway, Kashthuri Thirumurugan, Mya Thway Tint, et al.
Diabetes Research and Clinical Practice|February 6, 2022
Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approachMukkesh Kumar, Li Chen, Karen Tan, et al.
Scientific Reports|June 18, 2026
Abdominal fat distribution phenotypes and metabolic risk in premenopausal Asian women: insights beyond general adiposity measuresYeshe M Kway, Navin Michael, Narasimhan Kothandaraman, et al.
Computers in Biology and Medicine|October 28, 2023
A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRIYeshe M Kway, Kashthuri Thirumurugan, Navin Michael, et al.
Environmental Research|February 21, 2024
A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze developmentYizhi Dong, Hui Xing Lau, Noor Hidayatul Aini Suaini, et al.
JMIR Formative Research|November 24, 2025
Impact of AI on Breast Cancer Detection Rates in Mammography by Radiologists of Varying Experience Levels in Singapore: Preliminary Comparative StudySerene Si Ning Goh, Hao Du, Loon Ying Tan, et al.
JAMA Network Open|March 24, 2022
Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational CohortYuan Lu, Mui Van Zandt, Yun Liu, et al.
JAMA Network Open|March 3, 2020
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening MammogramsThomas Schaffter, Diana S M Buist, Christoph I Lee, et al.
Pageof 11

Showing results (101-110 of 109) with videos related to

Sort By:
Pageof 11
You have reached the last page of results.This site can display upto 109 results.
JMIR Medical Informatics|January 23, 2015
Metadata correction: making big data useful for health care: a summary of the inaugural mit critical data conferenceOmar Badawi, Thomas Brennan, Leo Anthony Celi, et al.
Radiology. Artificial Intelligence|October 7, 2021
Automated Segmentation of Visceral, Deep Subcutaneous, and Superficial Subcutaneous Adipose Tissue Volumes in MRI of Neonates and Young ChildrenYeshe Manuel Kway, Kashthuri Thirumurugan, Mya Thway Tint, et al.
Diabetes Research and Clinical Practice|February 6, 2022
Population-centric risk prediction modeling for gestational diabetes mellitus: A machine learning approachMukkesh Kumar, Li Chen, Karen Tan, et al.
Scientific Reports|June 18, 2026
Abdominal fat distribution phenotypes and metabolic risk in premenopausal Asian women: insights beyond general adiposity measuresYeshe M Kway, Navin Michael, Narasimhan Kothandaraman, et al.
Computers in Biology and Medicine|October 28, 2023
A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRIYeshe M Kway, Kashthuri Thirumurugan, Navin Michael, et al.
Environmental Research|February 21, 2024
A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze developmentYizhi Dong, Hui Xing Lau, Noor Hidayatul Aini Suaini, et al.
JMIR Formative Research|November 24, 2025
Impact of AI on Breast Cancer Detection Rates in Mammography by Radiologists of Varying Experience Levels in Singapore: Preliminary Comparative StudySerene Si Ning Goh, Hao Du, Loon Ying Tan, et al.
JAMA Network Open|March 24, 2022
Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational CohortYuan Lu, Mui Van Zandt, Yun Liu, et al.
JAMA Network Open|March 3, 2020
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening MammogramsThomas Schaffter, Diana S M Buist, Christoph I Lee, et al.
Pageof 11