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JMIR Mhealth and Uhealth
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February 22, 2023
Effectiveness of Remote Fetal Monitoring on Maternal-Fetal Outcomes: Systematic Review and Meta-Analysis
Suya Li, Qing Yang, Shuya Niu, et al.
Medical Physics
|
July 15, 2025
Noise-aware system generative model (NASGM): positron emission tomography (PET) image simulation framework with observer validation studies
Suya Li, Kaushik Dutta, Debojyoti Pal, et al.
BMC Nursing
|
August 12, 2024
Development and psychometric properties of a perceived social support scale for nurses returning to work after childbirth
Suya Li, Junyao Fan, Yu Liu, et al.
Materials (Basel, Switzerland)
|
November 27, 2024
Conceptual Examination of Pt Atom-Adorned WTe<sub>2</sub> for Improved Adsorption and Identification of CO and C<sub>2</sub>H<sub>4</sub> in Dissolved Gas Analysis
Qi Zhao, Suya Li, Jin He, et al.
BMC Pregnancy and Childbirth
|
January 13, 2026
Breastfeeding challenges experienced by postpartum nurses after maternity leave: a qualitative systematic review
Keqin Liu, Suya Li, Yu Liu, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 2, 2025
Corr-A-Net: Interpretable Attention-Based Correlated Feature Learning framework for predicting of HER2 Score in Breast Cancer from H&E Images
Kaushik Dutta, Debojyoti Pal, Suya Li, et al.
BMC Medical Informatics and Decision Making
|
May 9, 2026
Superlearner can predict in-hospital mortality risk in critically ill patients with ischemic stroke: development and international validation
Xiaolong Hu, Shifei Ye, Rongguo Hu, et al.
Gene
|
December 26, 2012
Distinct tissue expression profiles of chicken Lpin1-α/β isoforms and the effect of the variation on muscle fiber traits
Suya Li, Wen Chen, Xiangtao Kang, et al.
International Journal of General Medicine
|
November 10, 2025
Predictions of Small Intracranial Aneurysms' Rupture Risk with Ensemble Machine Learning Model (Super Learner): A Retrospective Study in Two Tertiary Hospitals in China
Xiaolong Hu, Shifei Ye, Dayong Qi, et al.
Frontiers in Neurology
|
October 6, 2025
Radiomics-based machine learning model for predicting clinically ineffective reperfusion in acute ischaemic stroke patients after endovascular treatment
Xiaolong Hu, Suya Li, Shifei Ye, et al.
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Search research articles
Search
Showing results (1-10 of 32) with videos related to
Sort By:
Page
of 4
JMIR Mhealth and Uhealth
|
February 22, 2023
Effectiveness of Remote Fetal Monitoring on Maternal-Fetal Outcomes: Systematic Review and Meta-Analysis
Suya Li, Qing Yang, Shuya Niu, et al.
Medical Physics
|
July 15, 2025
Noise-aware system generative model (NASGM): positron emission tomography (PET) image simulation framework with observer validation studies
Suya Li, Kaushik Dutta, Debojyoti Pal, et al.
BMC Nursing
|
August 12, 2024
Development and psychometric properties of a perceived social support scale for nurses returning to work after childbirth
Suya Li, Junyao Fan, Yu Liu, et al.
Materials (Basel, Switzerland)
|
November 27, 2024
Conceptual Examination of Pt Atom-Adorned WTe<sub>2</sub> for Improved Adsorption and Identification of CO and C<sub>2</sub>H<sub>4</sub> in Dissolved Gas Analysis
Qi Zhao, Suya Li, Jin He, et al.
BMC Pregnancy and Childbirth
|
January 13, 2026
Breastfeeding challenges experienced by postpartum nurses after maternity leave: a qualitative systematic review
Keqin Liu, Suya Li, Yu Liu, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 2, 2025
Corr-A-Net: Interpretable Attention-Based Correlated Feature Learning framework for predicting of HER2 Score in Breast Cancer from H&E Images
Kaushik Dutta, Debojyoti Pal, Suya Li, et al.
BMC Medical Informatics and Decision Making
|
May 9, 2026
Superlearner can predict in-hospital mortality risk in critically ill patients with ischemic stroke: development and international validation
Xiaolong Hu, Shifei Ye, Rongguo Hu, et al.
Gene
|
December 26, 2012
Distinct tissue expression profiles of chicken Lpin1-α/β isoforms and the effect of the variation on muscle fiber traits
Suya Li, Wen Chen, Xiangtao Kang, et al.
International Journal of General Medicine
|
November 10, 2025
Predictions of Small Intracranial Aneurysms' Rupture Risk with Ensemble Machine Learning Model (Super Learner): A Retrospective Study in Two Tertiary Hospitals in China
Xiaolong Hu, Shifei Ye, Dayong Qi, et al.
Frontiers in Neurology
|
October 6, 2025
Radiomics-based machine learning model for predicting clinically ineffective reperfusion in acute ischaemic stroke patients after endovascular treatment
Xiaolong Hu, Suya Li, Shifei Ye, et al.
Page
of 4